content large_stringlengths 0 6.46M | path large_stringlengths 3 331 | license_type large_stringclasses 2 values | repo_name large_stringlengths 5 125 | language large_stringclasses 1 value | is_vendor bool 2 classes | is_generated bool 2 classes | length_bytes int64 4 6.46M | extension large_stringclasses 75 values | text stringlengths 0 6.46M |
|---|---|---|---|---|---|---|---|---|---|
\name{componerPeriodos}
\alias{componerPeriodos}
\title{Function to create a vector of texts with the periods to consult}
\description{
Function to create a vector of texts with the periods to consult.
}
\usage{
componerPeriodos(annos, mes = NULL, frecuencia = "TRIMESTRE")
}
\arguments{
\item{annos}{
A vector with the years to consult.
}
\item{mes}{
Number to indicate the periods within the year to consult.
}
\item{frecuencia}{
Type of period. Year (A), Quarter (T) or Month (M)
}
}
\details{
The parameter mes is a number between 1 and 4 if the patameter frecuencia is Quarterly, from 1 to 12 if it is monthly and it is not used if it is annual,
he frequency parameter is a text of which only the first letter is used: A or Y for annual, Q or T for quarterly or M for monthly.
}
\value{
A vector with the periods in the format neccessary for the consult.
}
\examples{
##----Example
componerPeriodos(2007:2009,2:4,'Q')
componerPeriodos(2017,frecuencia='M')
componerPeriodos(2017,frecuencia='A')
}
\keyword{ misc } | /man/componerPeriodos.Rd | no_license | cran/leerSIECyL | R | false | false | 1,102 | rd | \name{componerPeriodos}
\alias{componerPeriodos}
\title{Function to create a vector of texts with the periods to consult}
\description{
Function to create a vector of texts with the periods to consult.
}
\usage{
componerPeriodos(annos, mes = NULL, frecuencia = "TRIMESTRE")
}
\arguments{
\item{annos}{
A vector with the years to consult.
}
\item{mes}{
Number to indicate the periods within the year to consult.
}
\item{frecuencia}{
Type of period. Year (A), Quarter (T) or Month (M)
}
}
\details{
The parameter mes is a number between 1 and 4 if the patameter frecuencia is Quarterly, from 1 to 12 if it is monthly and it is not used if it is annual,
he frequency parameter is a text of which only the first letter is used: A or Y for annual, Q or T for quarterly or M for monthly.
}
\value{
A vector with the periods in the format neccessary for the consult.
}
\examples{
##----Example
componerPeriodos(2007:2009,2:4,'Q')
componerPeriodos(2017,frecuencia='M')
componerPeriodos(2017,frecuencia='A')
}
\keyword{ misc } |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/gating-functions.R
\name{drawPolygon}
\alias{drawPolygon}
\title{Draw Polygon(s) to Gate Flow Cytometry Populations.}
\usage{
drawPolygon(fr, channels, alias = NULL, plot = TRUE, labels = TRUE,
...)
}
\arguments{
\item{fr}{a \code{\link[flowCore:flowFrame-class]{flowFrame}} object
containing the flow cytometry data for plotting and gating.}
\item{channels}{vector of channel names to use for plotting, can be of length
1 for 1-D density histogram or length 2 for 2-D scatter plot.}
\item{alias}{the name(s) of the populations to be gated. If multiple
population names are supplied (e.g. \code{c("CD3","CD4")}) multiple gates
will be returned. \code{alias} is \code{NULL} by default which will halt
the gating routine.}
\item{plot}{logical indicating whether the data should be plotted. This
feature allows for constructing gates of different types over existing
plots which may already contain a different gate type.}
\item{labels}{logical indicating whether to include \code{\link{plotLabels}}
for the gated population(s), \code{TRUE} by default.}
\item{...}{additional arguments for \code{\link{plotCyto,flowFrame-method}}.}
}
\value{
a\code{\link[flowCore:filters-class]{filters}} list containing the
constructed \code{\link[flowCore:polygonGate]{polygonGate}}
object(s).
}
\description{
\code{drawPolygon} constructs an interactive plotting window to allow manual
selection of the co-ordinates of a ploygon gate(s) (through mouse click)
which are constructed into
\code{\link[flowCore:polygonGate]{polygonGate}} objects and stored in a
\code{\link[flowCore:filters-class]{filters}} list.
}
\seealso{
\code{\link{plotCyto1d,flowFrame-method}}
\code{\link{plotCyto2d,flowFrame-method}}
\code{\link{drawGate}}
}
\author{
Dillon Hammill (Dillon.Hammill@anu.edu.au)
}
\keyword{draw,}
\keyword{gating,}
\keyword{manual,}
\keyword{openCyto}
\keyword{polygonGate,}
| /man/drawPolygon.Rd | no_license | gfinak/cytoRSuite | R | false | true | 1,954 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/gating-functions.R
\name{drawPolygon}
\alias{drawPolygon}
\title{Draw Polygon(s) to Gate Flow Cytometry Populations.}
\usage{
drawPolygon(fr, channels, alias = NULL, plot = TRUE, labels = TRUE,
...)
}
\arguments{
\item{fr}{a \code{\link[flowCore:flowFrame-class]{flowFrame}} object
containing the flow cytometry data for plotting and gating.}
\item{channels}{vector of channel names to use for plotting, can be of length
1 for 1-D density histogram or length 2 for 2-D scatter plot.}
\item{alias}{the name(s) of the populations to be gated. If multiple
population names are supplied (e.g. \code{c("CD3","CD4")}) multiple gates
will be returned. \code{alias} is \code{NULL} by default which will halt
the gating routine.}
\item{plot}{logical indicating whether the data should be plotted. This
feature allows for constructing gates of different types over existing
plots which may already contain a different gate type.}
\item{labels}{logical indicating whether to include \code{\link{plotLabels}}
for the gated population(s), \code{TRUE} by default.}
\item{...}{additional arguments for \code{\link{plotCyto,flowFrame-method}}.}
}
\value{
a\code{\link[flowCore:filters-class]{filters}} list containing the
constructed \code{\link[flowCore:polygonGate]{polygonGate}}
object(s).
}
\description{
\code{drawPolygon} constructs an interactive plotting window to allow manual
selection of the co-ordinates of a ploygon gate(s) (through mouse click)
which are constructed into
\code{\link[flowCore:polygonGate]{polygonGate}} objects and stored in a
\code{\link[flowCore:filters-class]{filters}} list.
}
\seealso{
\code{\link{plotCyto1d,flowFrame-method}}
\code{\link{plotCyto2d,flowFrame-method}}
\code{\link{drawGate}}
}
\author{
Dillon Hammill (Dillon.Hammill@anu.edu.au)
}
\keyword{draw,}
\keyword{gating,}
\keyword{manual,}
\keyword{openCyto}
\keyword{polygonGate,}
|
# Clean data from scrape
# Setup -------------------------------------------------------------------
library(lubridate)
library(dplyr)
library(stringr)
options(stringsAsFactors=FALSE)
# Read in data ------------------------------------------------------------
# Load
scraped_files <- list.files(path = here::here("data/raw_data/scrape_2019"))
for(i in 1:length(scraped_files)) {
load(here::here("data/raw_data/scrape_2019",
scraped_files[i]))
assign(str_c("scrape_", i), all_data)
}
rm(i, all_data)
# Combine data
scraped_data <- do.call(rbind, lapply(ls(pattern="scrape_\\d"), get))
rm(list = ls(pattern="scrape_\\d"))
# Coerce into proper type
scraped_data <- scraped_data %>% mutate(
title = as.character(title),
categories = as.character(categories),
tags = as.character(tags),
added = ymd(added),
viewkey = as.character(viewkey)
)
# Check for duplicates in final dataset by viewkey
duplicate <- duplicated(scraped_data$viewkey)
table(duplicate) # About 33% duplicates
# Delete duplicate rows
scraped_data <- scraped_data[!duplicate,]
# See how many videos were uploaded in each year
table(year(scraped_data$added)) # 12 in 2009, 277 in 2018
### CONSIDER REMOVING 2009 and 2019 for data viz
# Add year variable to dataset
scraped_data$year <- year(scraped_data$added)
rm(duplicate, scraped_files)
# Bareback ----------------------------------------------------------------
# Identify BB videos by category
scraped_data <- scraped_data %>% mutate(bb_cat = if_else(
str_detect(categories, "Bareback"), "Yes", "No"
))
# Identify BB videos by pattern
bb_pattern <- "[Bb]are|(?:^| )bb(?:$| )|breed|[Cc]ream|cum dump|felch|raw|condomless|no condom"
scraped_data <- scraped_data %>% mutate(bb_pat = if_else(
str_detect(title, bb_pattern) | str_detect(categories, bb_pattern) | str_detect(tags, bb_pattern),
"Yes",
"No"
))
# Quick comparison
table(scraped_data$bb_cat, scraped_data$bb_pat)
# Save as test data for analysis
save(scraped_data, file = here::here("data/tidy_data",
"scraped_test.Rda"))
| /code/final_code/clean.R | no_license | kbmorales/pornPrEP | R | false | false | 2,097 | r | # Clean data from scrape
# Setup -------------------------------------------------------------------
library(lubridate)
library(dplyr)
library(stringr)
options(stringsAsFactors=FALSE)
# Read in data ------------------------------------------------------------
# Load
scraped_files <- list.files(path = here::here("data/raw_data/scrape_2019"))
for(i in 1:length(scraped_files)) {
load(here::here("data/raw_data/scrape_2019",
scraped_files[i]))
assign(str_c("scrape_", i), all_data)
}
rm(i, all_data)
# Combine data
scraped_data <- do.call(rbind, lapply(ls(pattern="scrape_\\d"), get))
rm(list = ls(pattern="scrape_\\d"))
# Coerce into proper type
scraped_data <- scraped_data %>% mutate(
title = as.character(title),
categories = as.character(categories),
tags = as.character(tags),
added = ymd(added),
viewkey = as.character(viewkey)
)
# Check for duplicates in final dataset by viewkey
duplicate <- duplicated(scraped_data$viewkey)
table(duplicate) # About 33% duplicates
# Delete duplicate rows
scraped_data <- scraped_data[!duplicate,]
# See how many videos were uploaded in each year
table(year(scraped_data$added)) # 12 in 2009, 277 in 2018
### CONSIDER REMOVING 2009 and 2019 for data viz
# Add year variable to dataset
scraped_data$year <- year(scraped_data$added)
rm(duplicate, scraped_files)
# Bareback ----------------------------------------------------------------
# Identify BB videos by category
scraped_data <- scraped_data %>% mutate(bb_cat = if_else(
str_detect(categories, "Bareback"), "Yes", "No"
))
# Identify BB videos by pattern
bb_pattern <- "[Bb]are|(?:^| )bb(?:$| )|breed|[Cc]ream|cum dump|felch|raw|condomless|no condom"
scraped_data <- scraped_data %>% mutate(bb_pat = if_else(
str_detect(title, bb_pattern) | str_detect(categories, bb_pattern) | str_detect(tags, bb_pattern),
"Yes",
"No"
))
# Quick comparison
table(scraped_data$bb_cat, scraped_data$bb_pat)
# Save as test data for analysis
save(scraped_data, file = here::here("data/tidy_data",
"scraped_test.Rda"))
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/listOMLRunEvaluations.R
\name{listOMLRunEvaluations}
\alias{listOMLRunEvaluations}
\title{List run results of a task.}
\usage{
listOMLRunEvaluations(task.id = NULL, setup.id = NULL, flow.id = NULL,
run.id = NULL, uploader.id = NULL, verbosity = NULL)
}
\arguments{
\item{task.id}{[\code{integer(1)}]\cr
Task ID.}
\item{setup.id}{[\code{integer(1)}]\cr
ID of the parameter setup.}
\item{flow.id}{[\code{integer(1)}]\cr
ID of the implementation of an OpenML flow.}
\item{run.id}{[\code{integer}]\cr
a single ID or a vector of IDs of the runs.}
\item{uploader.id}{[\code{integer(1)}]\cr
ID of the uploader.}
\item{verbosity}{[\code{integer(1)}]\cr
Print verbose output on console? Possible values are:\cr
\code{0}: normal output,\cr
\code{1}: info output,\cr
\code{2}: debug output.\cr
Default is set via \code{\link{setOMLConfig}}.}
}
\value{
[\code{data.frame}].
}
\description{
Retrieves all run results for a task (\code{task.id}), a setup
(\code{setup.id}), a flow (\code{flow.id}) or a run (\code{run.id}) and returns
a \code{data.frame}. Each row contains, among others, the run id \dQuote{rid}.
}
\note{
This function is memoised. I.e., if you call this function twice in a running R session,
the first call will query the server and store the results in memory while the second and all subsequent calls will return
the cached results from the first call.
You can reset the cache by calling \code{\link[memoise]{forget}} on the function manually.
}
| /man/listOMLRunEvaluations.Rd | no_license | gitter-badger/r | R | false | true | 1,540 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/listOMLRunEvaluations.R
\name{listOMLRunEvaluations}
\alias{listOMLRunEvaluations}
\title{List run results of a task.}
\usage{
listOMLRunEvaluations(task.id = NULL, setup.id = NULL, flow.id = NULL,
run.id = NULL, uploader.id = NULL, verbosity = NULL)
}
\arguments{
\item{task.id}{[\code{integer(1)}]\cr
Task ID.}
\item{setup.id}{[\code{integer(1)}]\cr
ID of the parameter setup.}
\item{flow.id}{[\code{integer(1)}]\cr
ID of the implementation of an OpenML flow.}
\item{run.id}{[\code{integer}]\cr
a single ID or a vector of IDs of the runs.}
\item{uploader.id}{[\code{integer(1)}]\cr
ID of the uploader.}
\item{verbosity}{[\code{integer(1)}]\cr
Print verbose output on console? Possible values are:\cr
\code{0}: normal output,\cr
\code{1}: info output,\cr
\code{2}: debug output.\cr
Default is set via \code{\link{setOMLConfig}}.}
}
\value{
[\code{data.frame}].
}
\description{
Retrieves all run results for a task (\code{task.id}), a setup
(\code{setup.id}), a flow (\code{flow.id}) or a run (\code{run.id}) and returns
a \code{data.frame}. Each row contains, among others, the run id \dQuote{rid}.
}
\note{
This function is memoised. I.e., if you call this function twice in a running R session,
the first call will query the server and store the results in memory while the second and all subsequent calls will return
the cached results from the first call.
You can reset the cache by calling \code{\link[memoise]{forget}} on the function manually.
}
|
# This function is for Multiple Linear Regression
# For convenience: after running the code, you can run the command fix(models) to have a look at the models used here.
#Preparing Data
library(MASS)
library(ISLR)
#Reading the file is not needed if you are loading ISLR. ISLR already includes Boston as a dataset.
Boston <- read.csv("Boston.csv")
Boston <- Boston[,-1]
#Creating Variable list
a <- c("per capita crime rate by town.", "proportion of residential land zoned for lots over 25,000 sq.ft.", "proportion of non-retail business acres per town.","Charles River dummy variable (= 1 if tract bounds river; 0 otherwise)","nitrogen oxides concentration (parts per 10 million)","average number of rooms per dwelling.","proportion of owner-occupied units built prior to 1940.","weighted mean of distances to five Boston employment centres.","index of accessibility to radial highways.","full-value property-tax rate per $10,000.","pupil-teacher ratio by town","1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town.","lower status of the population (percent).","median value of owner-occupied homes in $1000s.")
Boston_desc <- cbind(colnames(Boston), a)
colnames(Boston_desc) <- c("Variable","Variable Description")
rm(a)
attach(Boston)
#Fitting a multiple regression model of medv on all other variables in Boston
lm.fit <- lm(medv ~ ., data = Boston)
#Creating all Statistics as separate objects
b <- summary(lm.fit)
for (i in 1:length(b)){
k <- unlist(b[i])
assign(paste("lm.fit_",names(b)[i],sep=""), k)
}
#Cleaning the environment
lm.fit_Summary <- b
rm(b)
rm(k)
rm(i)
#Checking colinearity between variables within the model
library(car)
vif(lm.fit)
#Regressing medv on all variables but rad
lm.fit1 <- update(lm.fit, ~.-rad)
vif(lm.fit1)
#To denote an interaction term we use x1:x2.
lm.fit2 <- lm(medv~ lstat*age) #lstat*age = lstat + age + lstat:age
#To check non-linear transformations of lstat
#We use I() because ^ has a different meaning in R as opposed to denoting power
lm.fit3 <- lm(medv~ lstat + I(lstat^2))
#Comparing models with analysis of variance
lm.fit4 <- lm(medv ~ lstat)
anova(lm.fit4, lm.fit3)# Ho: Both models equally fit, H-alpha: Model2 is better
#To check for higher powers of lstat
lm.fit5 <- lm(medv~poly(lstat, 5))
lm.fit6 <- lm(medv~poly(lstat, 6))
lm.fit8 <- lm(medv~poly(lstat,8))
rbind(summary(lm.fit5)$coefficients, summary(lm.fit6)$coefficients, summary(lm.fit8)$coefficients)
#the comparision shows powers upto 5 are relevant only
#For the convenience of the readers
a <- c("lm.fit","lm.fit1", "lm.fit2", "lm.fit3", "lm.fit4", "lm.fit5", "lm.fit6", "lm.fit8")
b <- c("medv~ all predictors", "medv~ .-rad", "medv~ lstat+age+lstat:age", "medv~ lstat+I(lstat^2)", "medv~ lstat", "medv~poly(lstat,5)", "medv~ poly(lstat, 6)","medv~ poly(lstat, 8)")
models <- cbind(a,b)
colnames(models) <- c("Model name", "Model description")
rm(a)
rm(b)
| /MLRegression.R | no_license | fazeelahmedsyed/ISLR | R | false | false | 2,925 | r | # This function is for Multiple Linear Regression
# For convenience: after running the code, you can run the command fix(models) to have a look at the models used here.
#Preparing Data
library(MASS)
library(ISLR)
#Reading the file is not needed if you are loading ISLR. ISLR already includes Boston as a dataset.
Boston <- read.csv("Boston.csv")
Boston <- Boston[,-1]
#Creating Variable list
a <- c("per capita crime rate by town.", "proportion of residential land zoned for lots over 25,000 sq.ft.", "proportion of non-retail business acres per town.","Charles River dummy variable (= 1 if tract bounds river; 0 otherwise)","nitrogen oxides concentration (parts per 10 million)","average number of rooms per dwelling.","proportion of owner-occupied units built prior to 1940.","weighted mean of distances to five Boston employment centres.","index of accessibility to radial highways.","full-value property-tax rate per $10,000.","pupil-teacher ratio by town","1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town.","lower status of the population (percent).","median value of owner-occupied homes in $1000s.")
Boston_desc <- cbind(colnames(Boston), a)
colnames(Boston_desc) <- c("Variable","Variable Description")
rm(a)
attach(Boston)
#Fitting a multiple regression model of medv on all other variables in Boston
lm.fit <- lm(medv ~ ., data = Boston)
#Creating all Statistics as separate objects
b <- summary(lm.fit)
for (i in 1:length(b)){
k <- unlist(b[i])
assign(paste("lm.fit_",names(b)[i],sep=""), k)
}
#Cleaning the environment
lm.fit_Summary <- b
rm(b)
rm(k)
rm(i)
#Checking colinearity between variables within the model
library(car)
vif(lm.fit)
#Regressing medv on all variables but rad
lm.fit1 <- update(lm.fit, ~.-rad)
vif(lm.fit1)
#To denote an interaction term we use x1:x2.
lm.fit2 <- lm(medv~ lstat*age) #lstat*age = lstat + age + lstat:age
#To check non-linear transformations of lstat
#We use I() because ^ has a different meaning in R as opposed to denoting power
lm.fit3 <- lm(medv~ lstat + I(lstat^2))
#Comparing models with analysis of variance
lm.fit4 <- lm(medv ~ lstat)
anova(lm.fit4, lm.fit3)# Ho: Both models equally fit, H-alpha: Model2 is better
#To check for higher powers of lstat
lm.fit5 <- lm(medv~poly(lstat, 5))
lm.fit6 <- lm(medv~poly(lstat, 6))
lm.fit8 <- lm(medv~poly(lstat,8))
rbind(summary(lm.fit5)$coefficients, summary(lm.fit6)$coefficients, summary(lm.fit8)$coefficients)
#the comparision shows powers upto 5 are relevant only
#For the convenience of the readers
a <- c("lm.fit","lm.fit1", "lm.fit2", "lm.fit3", "lm.fit4", "lm.fit5", "lm.fit6", "lm.fit8")
b <- c("medv~ all predictors", "medv~ .-rad", "medv~ lstat+age+lstat:age", "medv~ lstat+I(lstat^2)", "medv~ lstat", "medv~poly(lstat,5)", "medv~ poly(lstat, 6)","medv~ poly(lstat, 8)")
models <- cbind(a,b)
colnames(models) <- c("Model name", "Model description")
rm(a)
rm(b)
|
#' Add a TickTick Task from the console
#' @export
add_ticktick_task <-
function(task,
description) {
if (is.null(Sys.getenv("ticktick_email"))) {
stop('ticktick_email is null')
}
postfixR::send_email(to = Sys.getenv("ticktick_email"),
subject = task,
body = description)
}
| /R/add_ticktick_task.R | no_license | meerapatelmd/secretary | R | false | false | 399 | r | #' Add a TickTick Task from the console
#' @export
add_ticktick_task <-
function(task,
description) {
if (is.null(Sys.getenv("ticktick_email"))) {
stop('ticktick_email is null')
}
postfixR::send_email(to = Sys.getenv("ticktick_email"),
subject = task,
body = description)
}
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/qott.R
\name{F.Y0}
\alias{F.Y0}
\title{F.Y0}
\usage{
F.Y0(
firststep = c("dr", "qr", "ll"),
xformla,
data,
yvals,
tvals,
h = NULL,
retF = TRUE,
retZ = FALSE
)
}
\arguments{
\item{firststep}{whether to use distribution regression ("dr"),
quantile regression ("qr"), or local linear distribution regression ("ll")
for the first step estimation of condtional distributions}
\item{xformla}{a formula for which covariates to use}
\item{data}{the data.frame. It should contain colums called "Y1t" and
"Y0tmin1" which correspond to treated potential outcomes in the third
period and untreated potential outcomes in the second period}
\item{yvals}{Sequence of values to compute distributions over
(currently not used as these are determined internally)}
\item{tvals}{Sequence of values to compute conditional distribution over
(currently not used as these are determined internally)}
\item{h}{optional bandwidth when using local linear regression}
\item{retF}{whether or not to return the distribution function itself;
the default is \code{TRUE}. If false, it returns a \code{distreg::DR} object}
\item{retZ}{whether or not to return the distribution of the transformed
random variables due to the copula stability assumption. This is mainly
used in the numerical bootstrap procedure and, therefore, the default is
\code{FALSE}.}
}
\value{
distribution F(y|ytmin1)
}
\description{
compute F(y|ytmin1) where F is the conditional
distribution of untreated potential outcomes for the treated group
conditional on ytmin1. This is computed under the copula
stability assumption. This function
is typically computed internally in the \code{csabounds} package but
is provided here for convenience.
}
| /man/F.Y0.Rd | no_license | bcallaway11/csabounds | R | false | true | 1,796 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/qott.R
\name{F.Y0}
\alias{F.Y0}
\title{F.Y0}
\usage{
F.Y0(
firststep = c("dr", "qr", "ll"),
xformla,
data,
yvals,
tvals,
h = NULL,
retF = TRUE,
retZ = FALSE
)
}
\arguments{
\item{firststep}{whether to use distribution regression ("dr"),
quantile regression ("qr"), or local linear distribution regression ("ll")
for the first step estimation of condtional distributions}
\item{xformla}{a formula for which covariates to use}
\item{data}{the data.frame. It should contain colums called "Y1t" and
"Y0tmin1" which correspond to treated potential outcomes in the third
period and untreated potential outcomes in the second period}
\item{yvals}{Sequence of values to compute distributions over
(currently not used as these are determined internally)}
\item{tvals}{Sequence of values to compute conditional distribution over
(currently not used as these are determined internally)}
\item{h}{optional bandwidth when using local linear regression}
\item{retF}{whether or not to return the distribution function itself;
the default is \code{TRUE}. If false, it returns a \code{distreg::DR} object}
\item{retZ}{whether or not to return the distribution of the transformed
random variables due to the copula stability assumption. This is mainly
used in the numerical bootstrap procedure and, therefore, the default is
\code{FALSE}.}
}
\value{
distribution F(y|ytmin1)
}
\description{
compute F(y|ytmin1) where F is the conditional
distribution of untreated potential outcomes for the treated group
conditional on ytmin1. This is computed under the copula
stability assumption. This function
is typically computed internally in the \code{csabounds} package but
is provided here for convenience.
}
|
## the two functions below leverage R's lexical scoping to optimize the computation of inverse matrix
## 'makeCacheMatrix' function creates a special object that holds a matrix and its inverse for caching purposes
## 'cacheSolve' function attempts to retrieve the inverse matrix from the passed in object x which has been creately previoused using 'makeCacheMatrix'
## if no cache is found, this function computes the inverse matrix and saves it in object x
## this function returns an object that stores matrix x and its inverse
## the object x supports 4 functions:
## x$set(): replace matrix x with a new matrix and reset the inverse matrix
## x$get(): return matrix x
## x$setinv(): set the inverse to the passed in argument 'inverse'
## x$getinv(): return the inverse matrix
makeCacheMatrix <- function(x = matrix()) {
inv <- NULL
set <- function(y) {
x <<- y
inv <<- NULL
}
get <- function() x
setinv <- function(inverse) inv <<- inverse
getinv <- function() inv
list(set=set, get=get, setinv=setinv, getinv=getinv)
}
## this function attempts to cache and return the inverse of the passed in object x (object x must be previously created using function 'makeCacheMatrix')
## if no cache is found, the function computes and returns the inverse matrix of matrix x and saves the cache in object x
## (object x contains matrix x and the inverse matrix)
cacheSolve <- function(x, ...) {
## attempt to retrieve the inverse of matrix x from cache
inv <- x$getinv()
if (!is.null(inv)) {
message("getting cached data")
return(inv)
}
# if no cache is found, compute the inverse and save it in cache
matrix_dat <- x$get()
inv <- solve(matrix_dat)
x$setinv(inv)
inv
}
| /cachematrix.R | no_license | kristenphan/ComputeAndCacheMatrixInverse | R | false | false | 1,718 | r | ## the two functions below leverage R's lexical scoping to optimize the computation of inverse matrix
## 'makeCacheMatrix' function creates a special object that holds a matrix and its inverse for caching purposes
## 'cacheSolve' function attempts to retrieve the inverse matrix from the passed in object x which has been creately previoused using 'makeCacheMatrix'
## if no cache is found, this function computes the inverse matrix and saves it in object x
## this function returns an object that stores matrix x and its inverse
## the object x supports 4 functions:
## x$set(): replace matrix x with a new matrix and reset the inverse matrix
## x$get(): return matrix x
## x$setinv(): set the inverse to the passed in argument 'inverse'
## x$getinv(): return the inverse matrix
makeCacheMatrix <- function(x = matrix()) {
inv <- NULL
set <- function(y) {
x <<- y
inv <<- NULL
}
get <- function() x
setinv <- function(inverse) inv <<- inverse
getinv <- function() inv
list(set=set, get=get, setinv=setinv, getinv=getinv)
}
## this function attempts to cache and return the inverse of the passed in object x (object x must be previously created using function 'makeCacheMatrix')
## if no cache is found, the function computes and returns the inverse matrix of matrix x and saves the cache in object x
## (object x contains matrix x and the inverse matrix)
cacheSolve <- function(x, ...) {
## attempt to retrieve the inverse of matrix x from cache
inv <- x$getinv()
if (!is.null(inv)) {
message("getting cached data")
return(inv)
}
# if no cache is found, compute the inverse and save it in cache
matrix_dat <- x$get()
inv <- solve(matrix_dat)
x$setinv(inv)
inv
}
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/realizedMeasures.R
\name{rSemiCov}
\alias{rSemiCov}
\title{Realized semicovariance}
\usage{
rSemiCov(
rData,
cor = FALSE,
alignBy = NULL,
alignPeriod = NULL,
makeReturns = FALSE
)
}
\arguments{
\item{rData}{an \code{xts} or \code{data.table} object containing returns or prices, possibly for multiple assets over multiple days.}
\item{cor}{boolean, in case it is \code{TRUE}, and the input data is multivariate, the correlation is returned instead of the covariance matrix. \code{FALSE} by default.}
\item{alignBy}{character, indicating the time scale in which \code{alignPeriod} is expressed.
Possible values are: \code{"ticks"}, \code{"secs"}, \code{"seconds"}, \code{"mins"}, \code{"minutes"}, \code{"hours"}}
\item{alignPeriod}{positive numeric, indicating the number of periods to aggregate over. For example, to aggregate
based on a 5-minute frequency, set \code{alignPeriod = 5} and \code{alignBy = "minutes"}.}
\item{makeReturns}{boolean, should be \code{TRUE} when \code{rData} contains prices instead of returns. \code{FALSE} by default.}
}
\value{
In case the data consists of one day a list of five \eqn{N \times N} matrices are returned. These matrices are named \code{mixed}, \code{positive}, \code{negative}, \code{concordant}, and \code{rCov}.
The latter matrix corresponds to the realized covariance estimator and is thus named like the function \code{\link{rCov}}.
In case the data spans more than one day, the list for each day will be put into another list named according to the date of the estimates.
}
\description{
Calculate the Realized Semicovariances (rSemiCov).
Let \eqn{ r_{t,i} } be an intraday \eqn{M x N} return matrix and \eqn{i=1,...,M}
the number of intraday returns. Then, let \eqn{r_{t,i}^{+} = max(r_{t,i},0)} and \eqn{r_{t,i}^{-} = min(r_{t,i},0)}.
Then, the realized semicovariance is given by the following three matrices:
\deqn{
\mbox{pos}_t =\sum_{i=1}^{M} r^{+}_{t,i} r^{+'}_{t,i}
}
\deqn{
\mbox{neg}_t =\sum_{i=1}^{M} r^{-}_{t,i} r^{-'}_{t,i}
}
\deqn{
\mbox{mixed}_t =\sum_{i=1}^{M} (r^{+}_{t,i} r^{-'}_{t,i} + r^{-}_{t,i} r^{+'}_{t,i})
}
The mixed covariance matrix will have 0 on the diagonal.
From these three matrices, the realized covariance can be constructed as \eqn{pos + neg + mixed}.
The concordant semicovariance matrix is \eqn{pos + neg}.
The off-diagonals of the concordant matrix is always positive, while for the mixed matrix, it is always negative.
}
\details{
In the case that cor is \code{TRUE}, the mixed matrix will be an \eqn{N \times N} matrix filled with NA as mapping the mixed covariance matrix into correlation space is impossible due to the 0-diagonal.
}
\examples{
# Realized semi-variance/semi-covariance for prices aligned
# at 5 minutes.
# Univariate:
rSVar = rSemiCov(rData = sampleTData[, list(DT, PRICE)], alignBy = "minutes",
alignPeriod = 5, makeReturns = TRUE)
rSVar
\dontrun{
library("xts")
# Multivariate multi day:
rSC <- rSemiCov(sampleOneMinuteData, makeReturns = TRUE) # rSC is a list of lists
# We extract the covariance between stock 1 and stock 2 for all three covariances.
mixed <- sapply(rSC, function(x) x[["mixed"]][1,2])
neg <- sapply(rSC, function(x) x[["negative"]][1,2])
pos <- sapply(rSC, function(x) x[["positive"]][1,2])
covariances <- xts(cbind(mixed, neg, pos), as.Date(names(rSC)))
colnames(covariances) <- c("mixed", "neg", "pos")
# We make a quick plot of the different covariances
plot(covariances)
addLegend(lty = 1) # Add legend so we can distinguish the series.
}
}
\references{
Bollerslev, T., Li, J., Patton, A. J., and Quaedvlieg, R. (2020). Realized semicovariances. \emph{Econometrica}, 88, 1515-1551.
}
\seealso{
\code{\link{ICov}} for a list of implemented estimators of the integrated covariance.
}
\author{
Emil Sjoerup.
}
\keyword{volatility}
| /man/rSemiCov.Rd | no_license | jonathancornelissen/highfrequency | R | false | true | 3,883 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/realizedMeasures.R
\name{rSemiCov}
\alias{rSemiCov}
\title{Realized semicovariance}
\usage{
rSemiCov(
rData,
cor = FALSE,
alignBy = NULL,
alignPeriod = NULL,
makeReturns = FALSE
)
}
\arguments{
\item{rData}{an \code{xts} or \code{data.table} object containing returns or prices, possibly for multiple assets over multiple days.}
\item{cor}{boolean, in case it is \code{TRUE}, and the input data is multivariate, the correlation is returned instead of the covariance matrix. \code{FALSE} by default.}
\item{alignBy}{character, indicating the time scale in which \code{alignPeriod} is expressed.
Possible values are: \code{"ticks"}, \code{"secs"}, \code{"seconds"}, \code{"mins"}, \code{"minutes"}, \code{"hours"}}
\item{alignPeriod}{positive numeric, indicating the number of periods to aggregate over. For example, to aggregate
based on a 5-minute frequency, set \code{alignPeriod = 5} and \code{alignBy = "minutes"}.}
\item{makeReturns}{boolean, should be \code{TRUE} when \code{rData} contains prices instead of returns. \code{FALSE} by default.}
}
\value{
In case the data consists of one day a list of five \eqn{N \times N} matrices are returned. These matrices are named \code{mixed}, \code{positive}, \code{negative}, \code{concordant}, and \code{rCov}.
The latter matrix corresponds to the realized covariance estimator and is thus named like the function \code{\link{rCov}}.
In case the data spans more than one day, the list for each day will be put into another list named according to the date of the estimates.
}
\description{
Calculate the Realized Semicovariances (rSemiCov).
Let \eqn{ r_{t,i} } be an intraday \eqn{M x N} return matrix and \eqn{i=1,...,M}
the number of intraday returns. Then, let \eqn{r_{t,i}^{+} = max(r_{t,i},0)} and \eqn{r_{t,i}^{-} = min(r_{t,i},0)}.
Then, the realized semicovariance is given by the following three matrices:
\deqn{
\mbox{pos}_t =\sum_{i=1}^{M} r^{+}_{t,i} r^{+'}_{t,i}
}
\deqn{
\mbox{neg}_t =\sum_{i=1}^{M} r^{-}_{t,i} r^{-'}_{t,i}
}
\deqn{
\mbox{mixed}_t =\sum_{i=1}^{M} (r^{+}_{t,i} r^{-'}_{t,i} + r^{-}_{t,i} r^{+'}_{t,i})
}
The mixed covariance matrix will have 0 on the diagonal.
From these three matrices, the realized covariance can be constructed as \eqn{pos + neg + mixed}.
The concordant semicovariance matrix is \eqn{pos + neg}.
The off-diagonals of the concordant matrix is always positive, while for the mixed matrix, it is always negative.
}
\details{
In the case that cor is \code{TRUE}, the mixed matrix will be an \eqn{N \times N} matrix filled with NA as mapping the mixed covariance matrix into correlation space is impossible due to the 0-diagonal.
}
\examples{
# Realized semi-variance/semi-covariance for prices aligned
# at 5 minutes.
# Univariate:
rSVar = rSemiCov(rData = sampleTData[, list(DT, PRICE)], alignBy = "minutes",
alignPeriod = 5, makeReturns = TRUE)
rSVar
\dontrun{
library("xts")
# Multivariate multi day:
rSC <- rSemiCov(sampleOneMinuteData, makeReturns = TRUE) # rSC is a list of lists
# We extract the covariance between stock 1 and stock 2 for all three covariances.
mixed <- sapply(rSC, function(x) x[["mixed"]][1,2])
neg <- sapply(rSC, function(x) x[["negative"]][1,2])
pos <- sapply(rSC, function(x) x[["positive"]][1,2])
covariances <- xts(cbind(mixed, neg, pos), as.Date(names(rSC)))
colnames(covariances) <- c("mixed", "neg", "pos")
# We make a quick plot of the different covariances
plot(covariances)
addLegend(lty = 1) # Add legend so we can distinguish the series.
}
}
\references{
Bollerslev, T., Li, J., Patton, A. J., and Quaedvlieg, R. (2020). Realized semicovariances. \emph{Econometrica}, 88, 1515-1551.
}
\seealso{
\code{\link{ICov}} for a list of implemented estimators of the integrated covariance.
}
\author{
Emil Sjoerup.
}
\keyword{volatility}
|
## load required packages and set basic options
################################################################################
library("tidyverse"); theme_set(theme_minimal())
library("parallel"); options(mc.cores = detectCores())
library("rjags"); library("runjags")
library("bayesplot")
library("bench")
library("here")
## generate/specify data
################################################################################
mu <- 1 # normal mu
sigma <- 2 # normal sigma
n <- 10 # sample size
set.seed(1)
(y <- rnorm(n, mu, sigma))
jags_data <- list(
"y" = y,
"tau" = 1 / sigma ^2,
"N" = n
)
## specify jags model
################################################################################
jags_model <- "
model{
for (i in 1:N) {
y[i] ~ dnorm(mu, 1 / tau)
}
mu ~ dnorm(0, 1)
}
"
jags_model <- "
model{
for (i in 1:N) {
y[i] ~ dnorm(mu, tau)
}
mu ~ dnorm(0, 1)
}
"
jags_monitor <- c("mu")
## configure model settings
################################################################################
n_chains <- 4L
n_iter <- 1e4L
n_warmup <- 1e3L
## fit model
################################################################################
source(here("currently-benchmarking.R"))
if (!currently_benchmarking()) {
jags_fit <- run.jags(
"model" = jags_model, "data" = jags_data, "monitor" = jags_monitor,
"n.chains" = n_chains, "sample" = n_iter, "burnin" = n_warmup
)
## assess fit
################################################################################
jags_fit
jags_fit_object <- jags_fit$mcmc %>% as.array()
dim(jags_fit_object) <- c(dim(jags_fit_object), 1)
dimnames(jags_fit_object) <- list(
"iterations" = NULL,
"chains" = 1:n_chains,
"parameters" = monitor
)
jags_fit_object %>% mcmc_areas()
jags_fit_object %>% mcmc_intervals()
## assess convergence issues
###################################################################################
jags_fit_object %>% mcmc_acf_bar()
jags_fit_object %>% mcmc_trace()
jags_fit_object %>% mcmc_hist_by_chain()
}
| /simple-models/continuous/normal/normal-prior/normal-normal-jags.R | no_license | dkahle/Bayes-Computational-Methods | R | false | false | 2,158 | r | ## load required packages and set basic options
################################################################################
library("tidyverse"); theme_set(theme_minimal())
library("parallel"); options(mc.cores = detectCores())
library("rjags"); library("runjags")
library("bayesplot")
library("bench")
library("here")
## generate/specify data
################################################################################
mu <- 1 # normal mu
sigma <- 2 # normal sigma
n <- 10 # sample size
set.seed(1)
(y <- rnorm(n, mu, sigma))
jags_data <- list(
"y" = y,
"tau" = 1 / sigma ^2,
"N" = n
)
## specify jags model
################################################################################
jags_model <- "
model{
for (i in 1:N) {
y[i] ~ dnorm(mu, 1 / tau)
}
mu ~ dnorm(0, 1)
}
"
jags_model <- "
model{
for (i in 1:N) {
y[i] ~ dnorm(mu, tau)
}
mu ~ dnorm(0, 1)
}
"
jags_monitor <- c("mu")
## configure model settings
################################################################################
n_chains <- 4L
n_iter <- 1e4L
n_warmup <- 1e3L
## fit model
################################################################################
source(here("currently-benchmarking.R"))
if (!currently_benchmarking()) {
jags_fit <- run.jags(
"model" = jags_model, "data" = jags_data, "monitor" = jags_monitor,
"n.chains" = n_chains, "sample" = n_iter, "burnin" = n_warmup
)
## assess fit
################################################################################
jags_fit
jags_fit_object <- jags_fit$mcmc %>% as.array()
dim(jags_fit_object) <- c(dim(jags_fit_object), 1)
dimnames(jags_fit_object) <- list(
"iterations" = NULL,
"chains" = 1:n_chains,
"parameters" = monitor
)
jags_fit_object %>% mcmc_areas()
jags_fit_object %>% mcmc_intervals()
## assess convergence issues
###################################################################################
jags_fit_object %>% mcmc_acf_bar()
jags_fit_object %>% mcmc_trace()
jags_fit_object %>% mcmc_hist_by_chain()
}
|
# writes out some stats on data coverage
read.wc2 <- function(ptt, wd = getwd(), tag, pop, type = 'sst'){
if(substr(wd, nchar(wd), nchar(wd)) == '/'){
} else{
wd <- paste(wd, '/', sep='')
}
if(type == 'pdt'){
# READ IN PDT DATA FROM WC FILES
data <- utils::read.table(paste(wd, ptt,'-PDTs.csv', sep=''), sep=',',header=T,blank.lines.skip=F, skip = 0)
print(paste('If read.wc() fails for type=pdt, check the number of column headers in the PDTs.csv file.'))
data <- HMMoce:::extract.pdt(data)
dts <- as.POSIXct(data$Date, format = findDateFormat(data$Date))
d1 <- as.POSIXct('1900-01-02') - as.POSIXct('1900-01-01')
didx <- dts >= (tag + d1) & dts <= (pop - d1)
data <- data[didx,]; dts <- dts[didx]
# check for days with not enough data for locfit
data1 <- data
data1$dts <- as.Date(dts)
dt.cut <- data.frame(group_by(data1, dts) %>% summarise(n=n()))
dt.cut <- dt.cut[which(dt.cut[,2] < 3),1]
if (length(dt.cut) == 0){
} else{
data <- data1[-which(data1$dts %in% dt.cut),]
}
# get unique dates
udates <- unique(as.Date(data$Date))
# get data gaps
print(paste(length(which(as.Date(seq(tag, pop, 'day')) %in% udates)), ' of ', length(seq(tag, pop, 'day')), ' deployment days have PDT data...', sep=''))
data.count <- length(which(as.Date(seq(tag, pop, 'day')) %in% udates))
deploydur <- length(seq(tag, pop, 'day'))
gaps <- diff(c(as.Date(tag), udates, as.Date(pop)), units='days')
print(paste('Data gaps are ', paste(gaps[gaps > 1], collapse=', '), ' days in PDT...'))
gaps <- gaps[gaps > 1]
} else if(type == 'sst'){
# READ IN TAG SST FROM WC FILES
data <- utils::read.table(paste(wd, ptt, '-SST.csv', sep=''), sep=',',header=T, blank.lines.skip=F)
dts <- as.POSIXct(data$Date, format = findDateFormat(data$Date))
d1 <- as.POSIXct('1900-01-02') - as.POSIXct('1900-01-01')
didx <- dts >= (tag + d1) & dts <= (pop - d1)
data <- data[didx,]
if (length(data[,1]) <= 1){
stop('Something wrong with reading and formatting of tags SST data. Check date format.')
}
dts <- as.Date(as.POSIXct(data$Date, format = findDateFormat(data$Date)))
udates <- unique(dts)
data <- data[,c(1:11)]
# get data gaps
print(paste(length(which(as.Date(seq(tag, pop, 'day')) %in% udates)), ' of ', length(seq(tag, pop, 'day')), ' deployment days have GPE data...', sep=''))
data.count <- length(which(as.Date(seq(tag, pop, 'day')) %in% udates))
deploydur <- length(seq(tag, pop, 'day'))
gaps <- diff(c(as.Date(tag), udates, as.Date(pop)), units='days')
print(paste('Data gaps are ', paste(gaps[gaps > 1], collapse=', '), ' days...'))
gaps <- gaps[gaps > 1]
} else if(type == 'light'){
# READ IN LIGHT DATA FROM WC FILES
data <- utils::read.table(paste(wd,'/', ptt, '-LightLoc.csv', sep=''), sep=',',header=T, blank.lines.skip=F,skip=2)
if(!any(grep('depth', names(data), ignore.case=T))) data <- utils::read.table(paste(wd,'/', ptt, '-LightLoc.csv', sep=''), sep=',',header=T, blank.lines.skip=F,skip=1)
if(!any(grep('depth', names(data), ignore.case=T))) data <- utils::read.table(paste(wd,'/', ptt, '-LightLoc.csv', sep=''), sep=',',header=T, blank.lines.skip=F,skip=0)
data <- data[which(!is.na(data[,1])),]
#dts <- as.POSIXct(data$Day, format = findDateFormat(data$Day), tz = 'UTC')
dts <- as.POSIXct(data$Day, format = '%d-%b-%y', tz = 'UTC')
if(as.Date(dts[1]) > as.Date(Sys.Date()) | as.Date(dts[1]) < '1990-01-01'){
stop('Error: dates not parsed correctly.')
}
d1 <- as.POSIXct('1900-01-02') - as.POSIXct('1900-01-01')
didx <- (dts > (tag + d1)) & (dts < (pop - d1))
data <- data[didx,]
data$dts <- as.Date(dts[didx])
udates <- unique(as.Date(dts))
# get data gaps
print(paste(length(which(as.Date(seq(tag, pop, 'day')) %in% udates)), ' of ', length(seq(tag, pop, 'day')), ' deployment days have GPE data...', sep=''))
gaps <- diff(c(as.Date(tag), udates, as.Date(pop)), units='days')
print(paste('Data gaps are ', paste(gaps[gaps > 1], collapse=', '), ' days...'))
}
return(list(data = data, udates = udates, data.count=data.count, deploydur=deploydur, gaps=gaps))
}
| /read.wc2.r | no_license | camrinbraun/HMMoce_run | R | false | false | 4,315 | r | # writes out some stats on data coverage
read.wc2 <- function(ptt, wd = getwd(), tag, pop, type = 'sst'){
if(substr(wd, nchar(wd), nchar(wd)) == '/'){
} else{
wd <- paste(wd, '/', sep='')
}
if(type == 'pdt'){
# READ IN PDT DATA FROM WC FILES
data <- utils::read.table(paste(wd, ptt,'-PDTs.csv', sep=''), sep=',',header=T,blank.lines.skip=F, skip = 0)
print(paste('If read.wc() fails for type=pdt, check the number of column headers in the PDTs.csv file.'))
data <- HMMoce:::extract.pdt(data)
dts <- as.POSIXct(data$Date, format = findDateFormat(data$Date))
d1 <- as.POSIXct('1900-01-02') - as.POSIXct('1900-01-01')
didx <- dts >= (tag + d1) & dts <= (pop - d1)
data <- data[didx,]; dts <- dts[didx]
# check for days with not enough data for locfit
data1 <- data
data1$dts <- as.Date(dts)
dt.cut <- data.frame(group_by(data1, dts) %>% summarise(n=n()))
dt.cut <- dt.cut[which(dt.cut[,2] < 3),1]
if (length(dt.cut) == 0){
} else{
data <- data1[-which(data1$dts %in% dt.cut),]
}
# get unique dates
udates <- unique(as.Date(data$Date))
# get data gaps
print(paste(length(which(as.Date(seq(tag, pop, 'day')) %in% udates)), ' of ', length(seq(tag, pop, 'day')), ' deployment days have PDT data...', sep=''))
data.count <- length(which(as.Date(seq(tag, pop, 'day')) %in% udates))
deploydur <- length(seq(tag, pop, 'day'))
gaps <- diff(c(as.Date(tag), udates, as.Date(pop)), units='days')
print(paste('Data gaps are ', paste(gaps[gaps > 1], collapse=', '), ' days in PDT...'))
gaps <- gaps[gaps > 1]
} else if(type == 'sst'){
# READ IN TAG SST FROM WC FILES
data <- utils::read.table(paste(wd, ptt, '-SST.csv', sep=''), sep=',',header=T, blank.lines.skip=F)
dts <- as.POSIXct(data$Date, format = findDateFormat(data$Date))
d1 <- as.POSIXct('1900-01-02') - as.POSIXct('1900-01-01')
didx <- dts >= (tag + d1) & dts <= (pop - d1)
data <- data[didx,]
if (length(data[,1]) <= 1){
stop('Something wrong with reading and formatting of tags SST data. Check date format.')
}
dts <- as.Date(as.POSIXct(data$Date, format = findDateFormat(data$Date)))
udates <- unique(dts)
data <- data[,c(1:11)]
# get data gaps
print(paste(length(which(as.Date(seq(tag, pop, 'day')) %in% udates)), ' of ', length(seq(tag, pop, 'day')), ' deployment days have GPE data...', sep=''))
data.count <- length(which(as.Date(seq(tag, pop, 'day')) %in% udates))
deploydur <- length(seq(tag, pop, 'day'))
gaps <- diff(c(as.Date(tag), udates, as.Date(pop)), units='days')
print(paste('Data gaps are ', paste(gaps[gaps > 1], collapse=', '), ' days...'))
gaps <- gaps[gaps > 1]
} else if(type == 'light'){
# READ IN LIGHT DATA FROM WC FILES
data <- utils::read.table(paste(wd,'/', ptt, '-LightLoc.csv', sep=''), sep=',',header=T, blank.lines.skip=F,skip=2)
if(!any(grep('depth', names(data), ignore.case=T))) data <- utils::read.table(paste(wd,'/', ptt, '-LightLoc.csv', sep=''), sep=',',header=T, blank.lines.skip=F,skip=1)
if(!any(grep('depth', names(data), ignore.case=T))) data <- utils::read.table(paste(wd,'/', ptt, '-LightLoc.csv', sep=''), sep=',',header=T, blank.lines.skip=F,skip=0)
data <- data[which(!is.na(data[,1])),]
#dts <- as.POSIXct(data$Day, format = findDateFormat(data$Day), tz = 'UTC')
dts <- as.POSIXct(data$Day, format = '%d-%b-%y', tz = 'UTC')
if(as.Date(dts[1]) > as.Date(Sys.Date()) | as.Date(dts[1]) < '1990-01-01'){
stop('Error: dates not parsed correctly.')
}
d1 <- as.POSIXct('1900-01-02') - as.POSIXct('1900-01-01')
didx <- (dts > (tag + d1)) & (dts < (pop - d1))
data <- data[didx,]
data$dts <- as.Date(dts[didx])
udates <- unique(as.Date(dts))
# get data gaps
print(paste(length(which(as.Date(seq(tag, pop, 'day')) %in% udates)), ' of ', length(seq(tag, pop, 'day')), ' deployment days have GPE data...', sep=''))
gaps <- diff(c(as.Date(tag), udates, as.Date(pop)), units='days')
print(paste('Data gaps are ', paste(gaps[gaps > 1], collapse=', '), ' days...'))
}
return(list(data = data, udates = udates, data.count=data.count, deploydur=deploydur, gaps=gaps))
}
|
/chap03/DVD_online3.R | no_license | KSDeng/Mathematical-Modeling-with-R | R | false | false | 1,597 | r | ||
\name{Reduction.Phase}
\alias{Reduction.Phase}
\title{Reduction by successive traversal of hypercubes proposed by Cox, D. R. & Battey, H. S. (2017)}
\description{
This function traverses successively lower dimensional hypercubes, discarding variables according to the appropriate decision rules. It provides the number and indices of variables selected at each stage.
}
\usage{
Reduction.Phase(X,Y,family=gaussian,
dmHC=NULL,vector.signif=NULL,seed.HC = NULL, Cox.Hazard = FALSE)
}
\arguments{
\item{X}{Design matrix.}
\item{Y}{Response vector.}
\item{family}{A description of the error distribution and link function to be used in the model. For glm this can be a character string naming a family function, a family function or the result of a call to a family function. See \code{\link{family}} for more details.}
\item{dmHC}{Dimension of the hypercube to be used in the first-stage reduction. This version supports dimensions 2,3,4 and 5. If not specified a sensible value is calculated and used.}
\item{vector.signif}{Vector of decision rules to be used at each stage of the reduction. The first value makes reference to the decision rule for the highest dimensional hypercube and so on. If values are less than 1, this specifies a significance level of a test. All variables significant at this level in at least half the analyses in which they appear will be retained. If the value is 1 or 2, variables are retained if they are among the 1 or 2 most significant in at least half the analyses in which they appear. If unspecified a default rule is used.}
\item{seed.HC}{Seed for randomization of the variable indices in the hypercube. If not provided, the variables are arranged according to their original order.}
\item{Cox.Hazard}{If TRUE fits proportional hazards regression model. The family argument will be ignored if Cox.Hazard=TRUE.}
}
\value{
\item{Matrix.Selection}{The number of variables selected at each reduction of the hypercube.}
\item{List.Selection}{The indices of the variables retained through each stage of the reduction phase.}
}
\references{
Cox, D. R. and Battey, H. S. (2017). Large numbers of explanatory variables, a semi-descriptive analysis. \emph{Proceedings of the National Academy of Sciences}, 114(32), 8592-8595.
Battey, H. S. and Cox, D. R. (2018). Large numbers of explanatory variables: a probabilistic assessment. \emph{Proceedings of the Royal Society of London, A.}, 474(2215), 20170631.
Hoeltgebaum, H., & Battey, H. S. (2019). HCmodelSets: An R Package for Specifying Sets of Well-fitting Models in High Dimensions. \emph{The R Journal}, 11(2), 370-379.
}
\author{
Hoeltgebaum, H. H.
}
\section{Acknowledgement}{The work was supported by the UK Engineering and Physical Sciences Research Council under grant number EP/P002757/1.}
\examples{
\donttest{
## Generates a random DGP
dgp = DGP(s=5, a=3, sigStrength=1, rho=0.9, n=100, intercept=5, noise=1,
var=1, d=1000, DGP.seed = 2018)
#Reduction Phase using only the first 70 observations
outcome.Reduction.Phase = Reduction.Phase(X=dgp$X[1:70,],Y=dgp$Y[1:70],
family=gaussian, seed.HC = 1012)
# Not run, using vector.signif argument
# Fixing a decision rule of getting the 2 most significant in the first reduction
# and in the subsequent reduction, only those variables significant at 0.001 level
# outcome.Reduction.Phase = Reduction.Phase(X=dgp$X[1:70,],Y=dgp$Y[1:70],
# vector.signif = c(2,0.001), family=gaussian, dmHC = 3)
}
\dontshow{
dgp = DGP(s=5, a=3, sigStrength=1, rho=0.9, n=20, intercept=5, noise=1,
var=1, d=50, DGP.seed = 2019)
#Reduction Phase using only the first 70 observations
outcome.Reduction.Phase = Reduction.Phase(X=dgp$X[1:10,],Y=dgp$Y[1:10],
dmHC = 2, family=gaussian, seed.HC = 1093)
}
}
| /HCmodelSets/man/Reduction.Phase.Rd | no_license | hhhelfer/HCmodelSets | R | false | false | 3,891 | rd | \name{Reduction.Phase}
\alias{Reduction.Phase}
\title{Reduction by successive traversal of hypercubes proposed by Cox, D. R. & Battey, H. S. (2017)}
\description{
This function traverses successively lower dimensional hypercubes, discarding variables according to the appropriate decision rules. It provides the number and indices of variables selected at each stage.
}
\usage{
Reduction.Phase(X,Y,family=gaussian,
dmHC=NULL,vector.signif=NULL,seed.HC = NULL, Cox.Hazard = FALSE)
}
\arguments{
\item{X}{Design matrix.}
\item{Y}{Response vector.}
\item{family}{A description of the error distribution and link function to be used in the model. For glm this can be a character string naming a family function, a family function or the result of a call to a family function. See \code{\link{family}} for more details.}
\item{dmHC}{Dimension of the hypercube to be used in the first-stage reduction. This version supports dimensions 2,3,4 and 5. If not specified a sensible value is calculated and used.}
\item{vector.signif}{Vector of decision rules to be used at each stage of the reduction. The first value makes reference to the decision rule for the highest dimensional hypercube and so on. If values are less than 1, this specifies a significance level of a test. All variables significant at this level in at least half the analyses in which they appear will be retained. If the value is 1 or 2, variables are retained if they are among the 1 or 2 most significant in at least half the analyses in which they appear. If unspecified a default rule is used.}
\item{seed.HC}{Seed for randomization of the variable indices in the hypercube. If not provided, the variables are arranged according to their original order.}
\item{Cox.Hazard}{If TRUE fits proportional hazards regression model. The family argument will be ignored if Cox.Hazard=TRUE.}
}
\value{
\item{Matrix.Selection}{The number of variables selected at each reduction of the hypercube.}
\item{List.Selection}{The indices of the variables retained through each stage of the reduction phase.}
}
\references{
Cox, D. R. and Battey, H. S. (2017). Large numbers of explanatory variables, a semi-descriptive analysis. \emph{Proceedings of the National Academy of Sciences}, 114(32), 8592-8595.
Battey, H. S. and Cox, D. R. (2018). Large numbers of explanatory variables: a probabilistic assessment. \emph{Proceedings of the Royal Society of London, A.}, 474(2215), 20170631.
Hoeltgebaum, H., & Battey, H. S. (2019). HCmodelSets: An R Package for Specifying Sets of Well-fitting Models in High Dimensions. \emph{The R Journal}, 11(2), 370-379.
}
\author{
Hoeltgebaum, H. H.
}
\section{Acknowledgement}{The work was supported by the UK Engineering and Physical Sciences Research Council under grant number EP/P002757/1.}
\examples{
\donttest{
## Generates a random DGP
dgp = DGP(s=5, a=3, sigStrength=1, rho=0.9, n=100, intercept=5, noise=1,
var=1, d=1000, DGP.seed = 2018)
#Reduction Phase using only the first 70 observations
outcome.Reduction.Phase = Reduction.Phase(X=dgp$X[1:70,],Y=dgp$Y[1:70],
family=gaussian, seed.HC = 1012)
# Not run, using vector.signif argument
# Fixing a decision rule of getting the 2 most significant in the first reduction
# and in the subsequent reduction, only those variables significant at 0.001 level
# outcome.Reduction.Phase = Reduction.Phase(X=dgp$X[1:70,],Y=dgp$Y[1:70],
# vector.signif = c(2,0.001), family=gaussian, dmHC = 3)
}
\dontshow{
dgp = DGP(s=5, a=3, sigStrength=1, rho=0.9, n=20, intercept=5, noise=1,
var=1, d=50, DGP.seed = 2019)
#Reduction Phase using only the first 70 observations
outcome.Reduction.Phase = Reduction.Phase(X=dgp$X[1:10,],Y=dgp$Y[1:10],
dmHC = 2, family=gaussian, seed.HC = 1093)
}
}
|
fancy <- read.csv("../data/fancyhouse.csv")
house <- read.csv("../data/housingprice.csv")
train <- read.csv("../data/train.data.csv")
test <- read.csv("../data/test.data.csv")
library(kableExtra)
library(dplyr)
library(ggplot2)
options(digits=6)
### (a)
# R2 indicates the percentage of the variance in the dependent variable that the independent variables explain collectively.
train.house <- lm(price ~ bedrooms+bathrooms+sqft_living+sqft_lot, data = train)
# summary(train.house)$r.squared # 0.5101139
train.X <- as.matrix(cbind(rep(1, nrow(train)), apply(train[,5:8],2,scale)))
train.y <- as.matrix(train[,4])
fit <- lm(train.y ~ train.X[,-1])
test.X <- as.matrix(cbind(rep(1, nrow(test)), apply(test[,5:8],2,scale)))
test.y <- as.matrix(test[,4])
pred.y <- test.X %*% matrix(fit$coefficients, ncol = 1, nrow = ncol(test.X))
# function to calculate R-square
rsquare <- function(obs, fitted) {
r2 = 1 - (sum((obs-fitted)^2)) / (sum((obs-mean(obs))^2))
return(r2)
}
train.r2 <- rsquare(train$price, fit$fitted.values) # 0.5101139
test.r2 <- rsquare(test.y, pred.y) # 0.5049332
out <- cbind(train.r2, test.r2) %>% as.data.frame()
colnames(out) <- c("Training Data", "Test Data")
rownames(out) <- "R-square Value"
knitr::kable(out, align = "c") %>%
kable_styling(bootstrap_options = "striped", full_width = F)
### (b)
fit.house <- lm(price ~ bedrooms+bathrooms+sqft_living+sqft_lot, data = house)
pred <- predict(fit.house, fancy) # 15,390,168
out <- cbind("15,390,168", "127,000,000") %>% as.data.frame()
colnames(out) <- c("Predicted Value", "Real Value")
rownames(out) <- "Bill Gate's House"
knitr::kable(out, align = "c") %>%
kable_styling(bootstrap_options = "striped", full_width = F)
### (c)
train.house.2 <- lm(price ~ sqft_living+sqft_lot+bedrooms*bathrooms, data = train)
summary(train.house.2)
fit.2 <- lm(train.y ~ train.X[,2]*train.X[,3]+train.X[,4]+train.X[,5])
test.X.2 <- as.matrix(cbind(test.X, test.X[,2]*test.X[,3]))
pred.y.2 <- test.X.2 %*% matrix(fit.2$coefficients, ncol = 1, nrow = ncol(test.X.2))
train.r2.2 <- rsquare(train$price, fit.2$fitted.values) # 0.5173533
test.r2.2 <- rsquare(test.y, pred.y.2) # 0.5105277
out <- cbind(train.r2.2, test.r2.2) %>% as.data.frame()
colnames(out) <- c("Training Data", "Test Data")
rownames(out) <- "R-square Value"
knitr::kable(out, align = "c") %>%
kable_styling(bootstrap_options = "striped", full_width = F)
### (d)
#check global variable in function
checkStrict <- function(f, silent=FALSE) {
vars <- codetools::findGlobals(f)
found <- !vapply(vars, exists, logical(1), envir=as.environment(2))
if (!silent && any(found)) {
warning("global variables used: ", paste(names(found)[found], collapse=', '))
return(invisible(FALSE))
}
!any(found)
}
##################### For linear model fit with no interaction term:
dat.lm <- train[,c(5:8,4)]
dat.lm.scale <- scale(dat.lm)
y <- dat.lm.scale[,ncol(dat.lm.scale)]
X <- cbind(1, dat.lm.scale[,-ncol(dat.lm.scale)])
theta_opt_lm <- summary(lm(y ~ X[,2]+X[,3]+X[,4]+X[,5]))$coefficients[,1]
dat.lm.test <- test[,c(5:8,4)]
##################### For linear model fit with interaction term:
dat.lm.int <- cbind(train[c(5:8)], train[5]*train[6], train[4])
colnames(dat.lm.int) <- c("bedrooms", "bathrooms", "sqft_living","sqft_lot",
"interaction", "price")
dat.lm.int.scale <- scale(dat.lm.int)
y <- dat.lm.int.scale[,ncol(dat.lm.int.scale)]
X <- cbind(1, dat.lm.int.scale[,-ncol(dat.lm.int.scale)])
dat.lm.int.test <- cbind(test[c(5:8)], test[5]*test[6], test[4])
colnames(dat.lm.int.test) <- c("bedrooms", "bathrooms", "sqft_living","sqft_lot",
"interaction", "price")
dat.lm.int.scale.test <- scale(dat.lm.int.test)
y.test <- dat.lm.int.scale.test[,ncol(dat.lm.int.scale.test)]
X.test <- cbind(1, dat.lm.int.scale.test[,-ncol(dat.lm.int.scale.test)])
theta_opt_lm.int <- summary(lm(y ~ X[,2]+X[,3]+X[,4]+X[,5]+X[,6]))$coefficients[,1]
##################### Create a Gradient Descent Function:
gda <- function(data, eps = 0.001, max.iter = 50, standardize = T, seed=123,
optimal.theta) {
set.seed(seed)
#scaling data
data <- as.matrix(data)
p <- ncol(data)
n <- nrow(data)
mean.x <- apply(data[,-p], 2, mean)
sd.x <- apply(data[,-p], 2, sd)
mean.y <- mean(data[,p])
sd.y <- sd(data[,p])
if(standardize) {data <- scale(data)} # scale data if required
#predictor and response
X <- data[,-p]
y <- data[,p]
#starting values of theta
theta <- matrix(runif(n = p-1),
ncol = p-1, nrow=1)
theta.new <- theta
###gradient descent###
#tuning parameter
eigen <- eigen(t(X) %*% X, only.values = TRUE)
stepsize <- 2 / (eigen$values[1] + eigen$values[p-1])
#iteration
step <- 1
while ( step <= max.iter & norm(optimal.theta - theta) > eps ) {
theta <- theta.new
res <- (X %*% t(theta)) - y
gradient <- t(res) %*% X
theta.new <- theta - gradient * stepsize
step <- step + 1
# print(norm(optimal.theta - theta))
}
beta <- sd.y * theta[2:p-1] / sd.x
intercept <- -sd.y*sum(theta[2:p-1] * mean.x/sd.x) + mean.y
result <- c("Intercept"=intercept, beta)
return(list(result,theta))
}
GD.out <- gda(train[,c(5:8,4)], standardize = TRUE, optimal.theta = theta_opt_lm[2:5])
GD.out.int <- gda(dat.lm.int,
standardize = TRUE, optimal.theta = theta_opt_lm.int[2:6],
max.iter = 500)
## R-square for training data
get.r2 <- function (train = train[,c(5:8,4)],
test = test[,c(5:8,4)], SGD_result) {
p <- ncol(train)
## R-square for training data
X.prep <- scale(train)
X <- X.prep[,-ncol(X.prep)]
pred.y <- X %*% t(SGD_result)
r2.train <- rsquare(X.prep[,p], pred.y)
## R-square for test data
X.prep <- scale(test)
X <- X.prep[,-ncol(X.prep)]
pred.y <- X %*% t(SGD_result)
r2.test <- rsquare(X.prep[,p], pred.y)
return(c(r2.train,r2.test))
}
r2.lm <- get.r2(train[,c(5:8,4)], test[,c(5:8,4)], SGD_result = GD.out[[2]])
r2.lm.int <- get.r2(dat.lm.int, dat.lm.int.test, SGD_result =GD.out.int[[2]])
noint.result <- cbind(c(train.r2, test.r2) ,r2.lm)
colnames(noint.result) <- c("lm fit", "Gradient Descent")
rownames(noint.result) <- c("Training data", "test data")
knitr::kable(noint.result, align = "c") %>%
kable_styling(bootstrap_options = "striped", full_width = F)
int.result <- cbind(c(train.r2, test.r2) ,r2.lm.int)
colnames(int.result) <- c("lm fit", "Gradient Descent")
rownames(int.result) <- c("Training data", "test data")
knitr::kable(int.result, align = "c") %>%
kable_styling(bootstrap_options = "striped", full_width = F)
sgda <- function(data, data_test, max.iter = 30, stepsize = 5, diminish = TRUE,
standardize = T, seed=123) {
set.seed(seed)
#scaling data
data <- as.matrix(data)
data_test <- as.matrix(data_test)
p <- ncol(data)
n <- nrow(data)
mean.x <- apply(data[,-p], 2, mean)
sd.x <- apply(data[,-p], 2, sd)
mean.y <- mean(data[,p])
sd.y <- sd(data[,p])
if (standardize) {
data <- scale(data)
data_test <- scale(data_test)
} # scale data if required
#predictor and response
X <- data[,-p]
y <- data[,p]
#test data
X.test <- data_test[, -p]
y.test <- data_test[,p]
#starting values of theta
theta <- matrix(runif(n = p-1), ncol = p-1, nrow = 1)
train.loss <- norm(y - X %*% t(theta), "2")
test.loss <- norm(y.test - X.test %*% t(theta), "2")
#iteration
j <- 0
ref <- 1
stochastic.list <- sample(1:n, n)
while ( j <= max.iter ) {
j <- j + 1
if(diminish){
eta <- stepsize / (j + 1)
}else{
eta <- stepsize
}
X.new <- X[stochastic.list[j],] %>% as.matrix()
res <- ( t(X.new) %*% t(theta) ) - y[stochastic.list[j]]
gradient <- t(res) %*% t(X.new)
theta <- theta - gradient * eta
ref <- norm(gradient,"2")
train.loss <- c(train.loss, norm(y - X %*% t(theta), "2") )
test.loss <- c(test.loss, norm(y.test - X.test%*%t(theta), "2") )
# print(eta)
# print(norm(optimal - theta))
}
color <- c("train.loss" = "black", "test.loss" = "red")
gg <- ggplot() +
geom_point(aes(x = 1:length(test.loss), y = test.loss, color = "test.loss"), size = 0.5) +
geom_line(aes(x = 1:length(test.loss), y = test.loss, color = "test.loss"), size = 0.5) +
geom_point(aes(x = 1:length(train.loss), y = train.loss, color = "train.loss"), size = 0.5) +
geom_line(aes(x = 1:length(train.loss),y = train.loss, color = "train.loss"), size = 0.5) +
xlab("iteration") +
ylab("L2 Loss") +
labs(title = "Loss function ", color = "Legend") +
theme(plot.title = element_text(hjust = 0.5, size = 20)) +
scale_color_manual(values = color)
show(gg)
#print(paste0("Rsquare for training data is ", rsquare(y, X%*%t(theta))))
#print(paste0("Rsquare for test data is ", rsquare(y.test, X.test %*% t(theta))))
beta <- sd.y * theta[2:p-1] / sd.x
intercept <- -sd.y*sum(theta[2:p-1] * mean.x/sd.x) + mean.y
result <- c("Intercept"=intercept, beta)
return(list("original beta"=result, "scaled beta"=theta, "R2 train"=rsquare(y, X%*%t(theta)),
"R2 test"= rsquare(y.test, X.test %*% t(theta)) ))
}
##### NO interaction
#fix stepsize
SGD.lm.dimi <- sgda(dat.lm, dat.lm.test, standardize = T, stepsize = 2, diminish = TRUE, max.iter = 2000) # 0.505301, 0.500935
#diminish stepsize
SGD.lm <- sgda(dat.lm, dat.lm.test, standardize = T, stepsize = 0.02, diminish = FALSE, max.iter = 1600) # 0.503264, 0.498047
##### interaction
# SGD.out <- sgda(train[,c(5:8,4)], standardize = T, stepsize = 1, max.iter = 1000)
#fix stepsize
SGD.lm.int.dimi <- sgda(dat.lm.int, dat.lm.int.test, standardize = T, stepsize = 2, diminish = TRUE, max.iter = 2000) #Rsquare 0.514392 / 0.50883
SGD.lm.int <- sgda(dat.lm.int, dat.lm.int.test, standardize = T, stepsize = 0.02, diminish = FALSE, max.iter = 520) #Rsquare 0.498575 / 0.494554
## make a table for comparison - no interaction
noint.result <- rbind(cbind(summary(train.house)$coefficients[,1],
GD.out[[1]],SGD.lm.dimi[[1]],SGD.lm[[1]]),
cbind(c(train.r2, test.r2), c(r2.lm[1],r2.lm[2]),
c(SGD.lm.dimi[[3]],SGD.lm.dimi[[4]]),
c( SGD.lm[[3]],SGD.lm[[4]] )))
noint.result[1:5,] <- as.character(round(noint.result[1:5,], 2))
noint.result[6:7,] <- as.character(round(as.numeric(noint.result[6:7,]), 5))
colnames(noint.result) <- c("linear Model", "Gradient Descent",
"SGD with diminishing stepsize",
"SGD with fixed stepsize")
rownames(noint.result)[6:7] <- c("R2 Train", "R2 Test")
knitr::kable(noint.result[6:7,], align = "c") %>%
kable_styling(bootstrap_options = "striped", full_width = F)
## make a table for comparison - no interaction
int.result <- rbind(cbind(summary(train.house.2)$coefficients[,1],
GD.out.int[[1]], SGD.lm.int.dimi[[1]], SGD.lm.int[[1]]),
cbind(c(train.r2.2, test.r2.2), c(r2.lm.int[1],r2.lm.int[2]),
c(SGD.lm.int.dimi[[3]],SGD.lm.int.dimi[[4]]),
c( SGD.lm.int[[3]],SGD.lm.int[[4]] )))
int.result[1:6,] <- as.character(round(int.result[1:6,], 2))
int.result[7:8,] <- as.character(round(as.numeric(int.result[7:8,]), 5))
colnames(int.result) <- c("linear Model", "Gradient Descent",
"SGD with diminishing stepsize",
"SGD with fixed stepsize")
rownames(int.result)[7:8] <- c("R2 Train", "R2 Test")
knitr::kable(int.result[7:8, ], align = "c") %>%
kable_styling(bootstrap_options = "striped", full_width = F)
| /code/homework2.r | no_license | cassiemeow/STA243-HW2 | R | false | false | 11,750 | r |
fancy <- read.csv("../data/fancyhouse.csv")
house <- read.csv("../data/housingprice.csv")
train <- read.csv("../data/train.data.csv")
test <- read.csv("../data/test.data.csv")
library(kableExtra)
library(dplyr)
library(ggplot2)
options(digits=6)
### (a)
# R2 indicates the percentage of the variance in the dependent variable that the independent variables explain collectively.
train.house <- lm(price ~ bedrooms+bathrooms+sqft_living+sqft_lot, data = train)
# summary(train.house)$r.squared # 0.5101139
train.X <- as.matrix(cbind(rep(1, nrow(train)), apply(train[,5:8],2,scale)))
train.y <- as.matrix(train[,4])
fit <- lm(train.y ~ train.X[,-1])
test.X <- as.matrix(cbind(rep(1, nrow(test)), apply(test[,5:8],2,scale)))
test.y <- as.matrix(test[,4])
pred.y <- test.X %*% matrix(fit$coefficients, ncol = 1, nrow = ncol(test.X))
# function to calculate R-square
rsquare <- function(obs, fitted) {
r2 = 1 - (sum((obs-fitted)^2)) / (sum((obs-mean(obs))^2))
return(r2)
}
train.r2 <- rsquare(train$price, fit$fitted.values) # 0.5101139
test.r2 <- rsquare(test.y, pred.y) # 0.5049332
out <- cbind(train.r2, test.r2) %>% as.data.frame()
colnames(out) <- c("Training Data", "Test Data")
rownames(out) <- "R-square Value"
knitr::kable(out, align = "c") %>%
kable_styling(bootstrap_options = "striped", full_width = F)
### (b)
fit.house <- lm(price ~ bedrooms+bathrooms+sqft_living+sqft_lot, data = house)
pred <- predict(fit.house, fancy) # 15,390,168
out <- cbind("15,390,168", "127,000,000") %>% as.data.frame()
colnames(out) <- c("Predicted Value", "Real Value")
rownames(out) <- "Bill Gate's House"
knitr::kable(out, align = "c") %>%
kable_styling(bootstrap_options = "striped", full_width = F)
### (c)
train.house.2 <- lm(price ~ sqft_living+sqft_lot+bedrooms*bathrooms, data = train)
summary(train.house.2)
fit.2 <- lm(train.y ~ train.X[,2]*train.X[,3]+train.X[,4]+train.X[,5])
test.X.2 <- as.matrix(cbind(test.X, test.X[,2]*test.X[,3]))
pred.y.2 <- test.X.2 %*% matrix(fit.2$coefficients, ncol = 1, nrow = ncol(test.X.2))
train.r2.2 <- rsquare(train$price, fit.2$fitted.values) # 0.5173533
test.r2.2 <- rsquare(test.y, pred.y.2) # 0.5105277
out <- cbind(train.r2.2, test.r2.2) %>% as.data.frame()
colnames(out) <- c("Training Data", "Test Data")
rownames(out) <- "R-square Value"
knitr::kable(out, align = "c") %>%
kable_styling(bootstrap_options = "striped", full_width = F)
### (d)
#check global variable in function
checkStrict <- function(f, silent=FALSE) {
vars <- codetools::findGlobals(f)
found <- !vapply(vars, exists, logical(1), envir=as.environment(2))
if (!silent && any(found)) {
warning("global variables used: ", paste(names(found)[found], collapse=', '))
return(invisible(FALSE))
}
!any(found)
}
##################### For linear model fit with no interaction term:
dat.lm <- train[,c(5:8,4)]
dat.lm.scale <- scale(dat.lm)
y <- dat.lm.scale[,ncol(dat.lm.scale)]
X <- cbind(1, dat.lm.scale[,-ncol(dat.lm.scale)])
theta_opt_lm <- summary(lm(y ~ X[,2]+X[,3]+X[,4]+X[,5]))$coefficients[,1]
dat.lm.test <- test[,c(5:8,4)]
##################### For linear model fit with interaction term:
dat.lm.int <- cbind(train[c(5:8)], train[5]*train[6], train[4])
colnames(dat.lm.int) <- c("bedrooms", "bathrooms", "sqft_living","sqft_lot",
"interaction", "price")
dat.lm.int.scale <- scale(dat.lm.int)
y <- dat.lm.int.scale[,ncol(dat.lm.int.scale)]
X <- cbind(1, dat.lm.int.scale[,-ncol(dat.lm.int.scale)])
dat.lm.int.test <- cbind(test[c(5:8)], test[5]*test[6], test[4])
colnames(dat.lm.int.test) <- c("bedrooms", "bathrooms", "sqft_living","sqft_lot",
"interaction", "price")
dat.lm.int.scale.test <- scale(dat.lm.int.test)
y.test <- dat.lm.int.scale.test[,ncol(dat.lm.int.scale.test)]
X.test <- cbind(1, dat.lm.int.scale.test[,-ncol(dat.lm.int.scale.test)])
theta_opt_lm.int <- summary(lm(y ~ X[,2]+X[,3]+X[,4]+X[,5]+X[,6]))$coefficients[,1]
##################### Create a Gradient Descent Function:
gda <- function(data, eps = 0.001, max.iter = 50, standardize = T, seed=123,
optimal.theta) {
set.seed(seed)
#scaling data
data <- as.matrix(data)
p <- ncol(data)
n <- nrow(data)
mean.x <- apply(data[,-p], 2, mean)
sd.x <- apply(data[,-p], 2, sd)
mean.y <- mean(data[,p])
sd.y <- sd(data[,p])
if(standardize) {data <- scale(data)} # scale data if required
#predictor and response
X <- data[,-p]
y <- data[,p]
#starting values of theta
theta <- matrix(runif(n = p-1),
ncol = p-1, nrow=1)
theta.new <- theta
###gradient descent###
#tuning parameter
eigen <- eigen(t(X) %*% X, only.values = TRUE)
stepsize <- 2 / (eigen$values[1] + eigen$values[p-1])
#iteration
step <- 1
while ( step <= max.iter & norm(optimal.theta - theta) > eps ) {
theta <- theta.new
res <- (X %*% t(theta)) - y
gradient <- t(res) %*% X
theta.new <- theta - gradient * stepsize
step <- step + 1
# print(norm(optimal.theta - theta))
}
beta <- sd.y * theta[2:p-1] / sd.x
intercept <- -sd.y*sum(theta[2:p-1] * mean.x/sd.x) + mean.y
result <- c("Intercept"=intercept, beta)
return(list(result,theta))
}
GD.out <- gda(train[,c(5:8,4)], standardize = TRUE, optimal.theta = theta_opt_lm[2:5])
GD.out.int <- gda(dat.lm.int,
standardize = TRUE, optimal.theta = theta_opt_lm.int[2:6],
max.iter = 500)
## R-square for training data
get.r2 <- function (train = train[,c(5:8,4)],
test = test[,c(5:8,4)], SGD_result) {
p <- ncol(train)
## R-square for training data
X.prep <- scale(train)
X <- X.prep[,-ncol(X.prep)]
pred.y <- X %*% t(SGD_result)
r2.train <- rsquare(X.prep[,p], pred.y)
## R-square for test data
X.prep <- scale(test)
X <- X.prep[,-ncol(X.prep)]
pred.y <- X %*% t(SGD_result)
r2.test <- rsquare(X.prep[,p], pred.y)
return(c(r2.train,r2.test))
}
r2.lm <- get.r2(train[,c(5:8,4)], test[,c(5:8,4)], SGD_result = GD.out[[2]])
r2.lm.int <- get.r2(dat.lm.int, dat.lm.int.test, SGD_result =GD.out.int[[2]])
noint.result <- cbind(c(train.r2, test.r2) ,r2.lm)
colnames(noint.result) <- c("lm fit", "Gradient Descent")
rownames(noint.result) <- c("Training data", "test data")
knitr::kable(noint.result, align = "c") %>%
kable_styling(bootstrap_options = "striped", full_width = F)
int.result <- cbind(c(train.r2, test.r2) ,r2.lm.int)
colnames(int.result) <- c("lm fit", "Gradient Descent")
rownames(int.result) <- c("Training data", "test data")
knitr::kable(int.result, align = "c") %>%
kable_styling(bootstrap_options = "striped", full_width = F)
sgda <- function(data, data_test, max.iter = 30, stepsize = 5, diminish = TRUE,
standardize = T, seed=123) {
set.seed(seed)
#scaling data
data <- as.matrix(data)
data_test <- as.matrix(data_test)
p <- ncol(data)
n <- nrow(data)
mean.x <- apply(data[,-p], 2, mean)
sd.x <- apply(data[,-p], 2, sd)
mean.y <- mean(data[,p])
sd.y <- sd(data[,p])
if (standardize) {
data <- scale(data)
data_test <- scale(data_test)
} # scale data if required
#predictor and response
X <- data[,-p]
y <- data[,p]
#test data
X.test <- data_test[, -p]
y.test <- data_test[,p]
#starting values of theta
theta <- matrix(runif(n = p-1), ncol = p-1, nrow = 1)
train.loss <- norm(y - X %*% t(theta), "2")
test.loss <- norm(y.test - X.test %*% t(theta), "2")
#iteration
j <- 0
ref <- 1
stochastic.list <- sample(1:n, n)
while ( j <= max.iter ) {
j <- j + 1
if(diminish){
eta <- stepsize / (j + 1)
}else{
eta <- stepsize
}
X.new <- X[stochastic.list[j],] %>% as.matrix()
res <- ( t(X.new) %*% t(theta) ) - y[stochastic.list[j]]
gradient <- t(res) %*% t(X.new)
theta <- theta - gradient * eta
ref <- norm(gradient,"2")
train.loss <- c(train.loss, norm(y - X %*% t(theta), "2") )
test.loss <- c(test.loss, norm(y.test - X.test%*%t(theta), "2") )
# print(eta)
# print(norm(optimal - theta))
}
color <- c("train.loss" = "black", "test.loss" = "red")
gg <- ggplot() +
geom_point(aes(x = 1:length(test.loss), y = test.loss, color = "test.loss"), size = 0.5) +
geom_line(aes(x = 1:length(test.loss), y = test.loss, color = "test.loss"), size = 0.5) +
geom_point(aes(x = 1:length(train.loss), y = train.loss, color = "train.loss"), size = 0.5) +
geom_line(aes(x = 1:length(train.loss),y = train.loss, color = "train.loss"), size = 0.5) +
xlab("iteration") +
ylab("L2 Loss") +
labs(title = "Loss function ", color = "Legend") +
theme(plot.title = element_text(hjust = 0.5, size = 20)) +
scale_color_manual(values = color)
show(gg)
#print(paste0("Rsquare for training data is ", rsquare(y, X%*%t(theta))))
#print(paste0("Rsquare for test data is ", rsquare(y.test, X.test %*% t(theta))))
beta <- sd.y * theta[2:p-1] / sd.x
intercept <- -sd.y*sum(theta[2:p-1] * mean.x/sd.x) + mean.y
result <- c("Intercept"=intercept, beta)
return(list("original beta"=result, "scaled beta"=theta, "R2 train"=rsquare(y, X%*%t(theta)),
"R2 test"= rsquare(y.test, X.test %*% t(theta)) ))
}
##### NO interaction
#fix stepsize
SGD.lm.dimi <- sgda(dat.lm, dat.lm.test, standardize = T, stepsize = 2, diminish = TRUE, max.iter = 2000) # 0.505301, 0.500935
#diminish stepsize
SGD.lm <- sgda(dat.lm, dat.lm.test, standardize = T, stepsize = 0.02, diminish = FALSE, max.iter = 1600) # 0.503264, 0.498047
##### interaction
# SGD.out <- sgda(train[,c(5:8,4)], standardize = T, stepsize = 1, max.iter = 1000)
#fix stepsize
SGD.lm.int.dimi <- sgda(dat.lm.int, dat.lm.int.test, standardize = T, stepsize = 2, diminish = TRUE, max.iter = 2000) #Rsquare 0.514392 / 0.50883
SGD.lm.int <- sgda(dat.lm.int, dat.lm.int.test, standardize = T, stepsize = 0.02, diminish = FALSE, max.iter = 520) #Rsquare 0.498575 / 0.494554
## make a table for comparison - no interaction
noint.result <- rbind(cbind(summary(train.house)$coefficients[,1],
GD.out[[1]],SGD.lm.dimi[[1]],SGD.lm[[1]]),
cbind(c(train.r2, test.r2), c(r2.lm[1],r2.lm[2]),
c(SGD.lm.dimi[[3]],SGD.lm.dimi[[4]]),
c( SGD.lm[[3]],SGD.lm[[4]] )))
noint.result[1:5,] <- as.character(round(noint.result[1:5,], 2))
noint.result[6:7,] <- as.character(round(as.numeric(noint.result[6:7,]), 5))
colnames(noint.result) <- c("linear Model", "Gradient Descent",
"SGD with diminishing stepsize",
"SGD with fixed stepsize")
rownames(noint.result)[6:7] <- c("R2 Train", "R2 Test")
knitr::kable(noint.result[6:7,], align = "c") %>%
kable_styling(bootstrap_options = "striped", full_width = F)
## make a table for comparison - no interaction
int.result <- rbind(cbind(summary(train.house.2)$coefficients[,1],
GD.out.int[[1]], SGD.lm.int.dimi[[1]], SGD.lm.int[[1]]),
cbind(c(train.r2.2, test.r2.2), c(r2.lm.int[1],r2.lm.int[2]),
c(SGD.lm.int.dimi[[3]],SGD.lm.int.dimi[[4]]),
c( SGD.lm.int[[3]],SGD.lm.int[[4]] )))
int.result[1:6,] <- as.character(round(int.result[1:6,], 2))
int.result[7:8,] <- as.character(round(as.numeric(int.result[7:8,]), 5))
colnames(int.result) <- c("linear Model", "Gradient Descent",
"SGD with diminishing stepsize",
"SGD with fixed stepsize")
rownames(int.result)[7:8] <- c("R2 Train", "R2 Test")
knitr::kable(int.result[7:8, ], align = "c") %>%
kable_styling(bootstrap_options = "striped", full_width = F)
|
library(pdftools)
library(stringr)
library(plotly)
# Get current time for later use
currenttime <- as.POSIXct(Sys.time(), tz=Sys.timezone())
attributes(currenttime)$tzone <- "Asia/Hong_Kong"
currenttimetext <- paste("最後更新於香港時間 ", format(currenttime, "%Y-%m-%d %H:%M"), sep="")
# download latest data file
download.file("https://www.chp.gov.hk/files/pdf/building_list_eng_20201218.pdf", "../00_original/building_list_eng_20201218.pdf")
# remember to manually check if this is the correct separator
# "List of buildings with confirmed / probable cases visited from 2 days before onset"
# read in all pdf names
pdflist <- dir(path="../00_original/", pattern=".pdf")
###################################
# preparation for info extraction #
###################################
# read in hk district
district <- read.csv("../00_original/district-population.csv")
# set up empty df for 2-week numbers
master2wk <- data.frame(district_en = NULL, day = NULL, case = NULL)
##########################
# actual info extraction #
##########################
# from building_list_eng_20200123_184843.pdf == pdflist[1]
# to building_list_eng_20200212_202406.pdf == pdflist[18]
for (i_file in 1:18){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
table(master2wk$day)
# from building_list_eng_20200213_000000.pdf == pdflist[19]
# to building_list_eng_20200216_220021.pdf == pdflist[22]
# need to remove all text after
# "\n List of non-residential building with 2 or more confirmed cases of novel coronavirus infection\n"
for (i_file in 19:22){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# remove text from second, irrelevant table
temptext <- gsub("\n List of non-residential building with 2 or more confirmed cases of novel coronavirus infection\n.*", "", temptext)
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
# only on building_list_eng_20200217_231207.pdf == pdflist[23]
targetfile <- paste("../00_original/", pdflist[23], sep="")
temptext <- pdf_text(targetfile)
temptext <- temptext[1:grep("List of non-residential buildings with confirmed cases visited after onset of symptoms", temptext)-1]
tempdate <- stringr::str_extract(pdflist[23], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
# from building_list_eng_20200218_215230.pdf == pdflist[24]
# to building_list_eng_20200219_173655.pdf == pdflist[25]
for (i_file in 24:25){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# remove text from second, irrelevant table
temptext <- temptext[1:grep("List of buildings with confirmed cases visited after onset of symptoms or", temptext)-1]
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
# from building_list_eng_20200220_224016.pdf == pdflist[26]
# to building_list_eng_20200221_213153.pdf == pdflist[27]
for (i_file in 26:27){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# remove text from second, irrelevant table
temptext <- temptext[1:grep("List of buildings with probable/confirmed cases visited after onset of symptoms", temptext)-1]
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
# for building_list_eng_20200222_000000.pdf == pdflist[28]
targetfile <- paste("../00_original/", pdflist[28], sep="")
temptext <- pdf_text(targetfile)
temptext <- temptext[1:grep("List of buildings with probable/confirmed cases visited from 2 days before onset of symptoms", temptext)-1]
tempdate <- stringr::str_extract(pdflist[28], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
# List of buildings with confirmed cases visited from 2 days before onset of symptoms
# building_list_eng_20200223_225143.pdf == pdflist[29]
# building_list_eng_20200310_225716.pdf == pdflist[45]
for (i_file in 29:45){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# remove text from second, irrelevant table
# step 1, remove pages after the beginning of the table
# step 2, remove text after the title of the irrelevant table
temptext <- temptext[1:grep("List of buildings with confirmed cases visited from 2 days before onset of symptoms", temptext)]
temptext <- gsub("List of buildings with confirmed cases visited from 2 days before onset of symptoms.*", "", temptext)
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
# List of buildings with confirmed / probable cases visited from 2 days
# from building_list_eng_20200311_223130.pdf == pdflist[46]
# to building_list_eng_20200326_000000.pdf == pdflist[61]
for (i_file in 46:61){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# remove text from second, irrelevant table
temptext <- temptext[1:grep("List of buildings with confirmed / probable cases visited from 2 days", temptext)-1]
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
# "List of buildings with confirmed / probable cases visited"
# from building_list_eng_20200327_234929.pdf == pdflist[62]
# to building_list_eng_20200425_000000.pdf == pdflist[91]
for (i_file in 62:91){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# remove text from second, irrelevant table
temptext <- temptext[1:grep("List of buildings with confirmed / probable cases visited", temptext)-1]
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
# "List of buildings visited by confirmed / probable cases"
# from building_list_eng_20200426_000000.pdf == pdflist[92]
# to building_list_eng_20200428.pdf == pdflist[94]
for (i_file in 92:94){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# remove text from second, irrelevant table
# step 1, remove pages after the beginning of the table
# step 2, remove text after the title of the irrelevant table
temptext <- temptext[1:grep("List of buildings visited by confirmed / probable cases", temptext)]
temptext <- gsub("List of buildings visited by confirmed / probable cases.*", "", temptext)
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
# "List of Buildings Visited by Confirmed / Probable Cases"
# from building_list_eng_20200429.pdf == pdflist[95]
# to building_list_eng_20200707.pdf == pdflist[164]
for (i_file in 95:164){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# remove text from second, irrelevant table
# step 1, remove pages after the beginning of the table
# step 2, remove text after the title of the irrelevant table
temptext <- temptext[1:grep("List of Buildings Visited by Confirmed / Probable Cases", temptext)]
temptext <- gsub("List of Buildings Visited by Confirmed / Probable Cases.*", "", temptext)
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
# "List of buildings with confirmed / probable cases visited from 2 days"
# from building_list_eng_20200708.pdf == pdflist[165]
# to building_list_eng_20200829.pdf == pdflist[217]
for (i_file in 165:217){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# remove text from second, irrelevant table
# step 1, remove pages after the beginning of the table
# step 2, remove text after the title of the irrelevant table
temptext <- temptext[1:grep("List of buildings with confirmed / probable cases visited from 2 days", temptext)]
temptext <- gsub("List of buildings with confirmed / probable cases visited from 2 days.*", "", temptext)
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
# "List of buildings with confirmed / probable cases visited from 2 days before onset"
# from building_list_eng_20200830.pdf == pdflist[218]
# to current
for (i_file in 218:length(pdflist)){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# remove text from second, irrelevant table
# step 1, remove pages after the beginning of the table
# step 2, remove text after the title of the irrelevant table
temptext <- temptext[1:grep("List of buildings with confirmed / probable cases visited from 2 days before onset", temptext)]
temptext <- gsub("List of buildings with confirmed / probable cases visited from 2 days before onset.*", "", temptext)
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
#############################
# done with data extraction #
#############################
write.csv(master2wk, "hk-covid19-2wk.csv", row.names=F)
###################################
# data wrangle / summary for plot #
###################################
master2wk$case <- as.numeric(as.character(master2wk$case))
master2wk$day <- as.Date(master2wk$day)
masterday <- master2wk
masterday$case <- round(masterday$case/14, 3)
masterday <- merge(masterday, district, by="district_en", all.x=T)
masterday$case100k <- round(masterday$case / masterday$pop*100000, 2)
# aesthetics
masterday <- masterday[order(masterday$day, masterday$district_en), ]
masterday <- masterday[, c(1, 4, 5, 2, 3, 6)]
day_earliest <- min(masterday$day)
day_latest <- max(masterday$day)
# find latest PDF name
# extract data for map
pdflist[length(pdflist)]
latestdate <- stringr::str_extract(pdflist[length(pdflist)], "2020[0-9]+")
latestdate <- format(as.Date(latestdate, "%Y%m%d"))
master2wk_latest <- subset(master2wk, master2wk$day == latestdate)
master2wk_latest <- merge(master2wk_latest, district, by="district_en")
master2wk_latest$case100k <- round(master2wk_latest$case / master2wk_latest$pop * 100000, 3)
master2wk_latest$day <- NULL
master2wk_latest$district_ch <- NULL
master2wk_latest$pop <- NULL
names(master2wk_latest) <- c("District", "case", "case100k")
head(masterday)
#########
# plots #
#########
fig_day <-
plot_ly() %>%
add_trace(data=masterday, type="scatter", mode="lines",
x=~day, y=~case, color=~district_ch) %>%
layout(title=list(text="14日平均每日新增新型肺炎個案", y=0.99),
xaxis=list(title="日期", range=c(day_earliest-1, day_latest +1)),
yaxis=list(title="14日平均新增新型肺炎個案"),
legend=list(x=0.025, y=0.975))
fig_100k <-
plot_ly() %>%
add_trace(data=masterday, type="scatter", mode="lines",
x=~day, y=~case100k, color=~district_ch) %>%
layout(title=list(text="14日平均每日每十萬人新增新型肺炎個案", y=0.99),
xaxis=list(title="日期", range=c(day_earliest-1, day_latest +1)),
yaxis=list(title="14日平均每十萬人新增新型肺炎個案"),
legend=list(x=0.025, y=0.975))
#######
# map #
#######
library(sf)
library(leaflet)
# read, then merge with numbers
districtmap <- st_read("../00_original/hksar_18_district_boundary.json")
districtmap <- merge(districtmap, master2wk_latest, by="District")
# cf https://rstudio.github.io/leaflet/choropleths.html
bins_raw <- c(0, 1, 2, 5, 10, 15, 70, 100, Inf)
palette_raw <- colorBin("Reds", domain=districtmap$case, bins=bins_raw)
label_raw <- sprintf("<strong>%s</strong><br/>過去14日有 %g 宗確診或疑似個案",
districtmap$地區, districtmap$case) %>%
lapply(htmltools::HTML)
map_raw <-
leaflet() %>%
setView(114.167265, 22.360296, zoom=10) %>%
addPolygons(data=districtmap, color="black", weight=2, dashArray="3",
fillColor=~palette_raw(case), fillOpacity=0.7,
highlight=highlightOptions(weight=5, dashArray = "", bringToFront = TRUE),
label=label_raw) %>%
addProviderTiles(providers$Esri.WorldTopoMap)
bins_100k <- c(0, 1, 2.5, 5, 10, 25, Inf)
palette_100k <- colorBin("Reds", domain=districtmap$case100k, bins=bins_100k)
label_100k <- sprintf("<strong>%s</strong><br/>過去14日，每十萬人有 %g 宗確診或疑似個案",
districtmap$地區, districtmap$case100k) %>%
lapply(htmltools::HTML)
map_100k <-
leaflet() %>%
setView(114.167265, 22.360296, zoom=10) %>%
addPolygons(data=districtmap, color="black", weight=2, dashArray="3",
fillColor=~palette_100k(case100k), fillOpacity=0.7,
highlight=highlightOptions(weight=5, dashArray = "", bringToFront = TRUE),
label=label_100k) %>%
addProviderTiles(providers$Esri.WorldTopoMap)
##################
# Make dashboard #
##################
# make dashboard, copy to root directory
rmarkdown::render(input = "index.Rmd")
file.copy("index.html", "../docs/", overwrite=T)
| /2020-12-18/analysis.R | no_license | tszhim-tsui/2020-hk-covid19 | R | false | false | 27,307 | r | library(pdftools)
library(stringr)
library(plotly)
# Get current time for later use
currenttime <- as.POSIXct(Sys.time(), tz=Sys.timezone())
attributes(currenttime)$tzone <- "Asia/Hong_Kong"
currenttimetext <- paste("最後更新於香港時間 ", format(currenttime, "%Y-%m-%d %H:%M"), sep="")
# download latest data file
download.file("https://www.chp.gov.hk/files/pdf/building_list_eng_20201218.pdf", "../00_original/building_list_eng_20201218.pdf")
# remember to manually check if this is the correct separator
# "List of buildings with confirmed / probable cases visited from 2 days before onset"
# read in all pdf names
pdflist <- dir(path="../00_original/", pattern=".pdf")
###################################
# preparation for info extraction #
###################################
# read in hk district
district <- read.csv("../00_original/district-population.csv")
# set up empty df for 2-week numbers
master2wk <- data.frame(district_en = NULL, day = NULL, case = NULL)
##########################
# actual info extraction #
##########################
# from building_list_eng_20200123_184843.pdf == pdflist[1]
# to building_list_eng_20200212_202406.pdf == pdflist[18]
for (i_file in 1:18){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
table(master2wk$day)
# from building_list_eng_20200213_000000.pdf == pdflist[19]
# to building_list_eng_20200216_220021.pdf == pdflist[22]
# need to remove all text after
# "\n List of non-residential building with 2 or more confirmed cases of novel coronavirus infection\n"
for (i_file in 19:22){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# remove text from second, irrelevant table
temptext <- gsub("\n List of non-residential building with 2 or more confirmed cases of novel coronavirus infection\n.*", "", temptext)
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
# only on building_list_eng_20200217_231207.pdf == pdflist[23]
targetfile <- paste("../00_original/", pdflist[23], sep="")
temptext <- pdf_text(targetfile)
temptext <- temptext[1:grep("List of non-residential buildings with confirmed cases visited after onset of symptoms", temptext)-1]
tempdate <- stringr::str_extract(pdflist[23], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
# from building_list_eng_20200218_215230.pdf == pdflist[24]
# to building_list_eng_20200219_173655.pdf == pdflist[25]
for (i_file in 24:25){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# remove text from second, irrelevant table
temptext <- temptext[1:grep("List of buildings with confirmed cases visited after onset of symptoms or", temptext)-1]
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
# from building_list_eng_20200220_224016.pdf == pdflist[26]
# to building_list_eng_20200221_213153.pdf == pdflist[27]
for (i_file in 26:27){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# remove text from second, irrelevant table
temptext <- temptext[1:grep("List of buildings with probable/confirmed cases visited after onset of symptoms", temptext)-1]
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
# for building_list_eng_20200222_000000.pdf == pdflist[28]
targetfile <- paste("../00_original/", pdflist[28], sep="")
temptext <- pdf_text(targetfile)
temptext <- temptext[1:grep("List of buildings with probable/confirmed cases visited from 2 days before onset of symptoms", temptext)-1]
tempdate <- stringr::str_extract(pdflist[28], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
# List of buildings with confirmed cases visited from 2 days before onset of symptoms
# building_list_eng_20200223_225143.pdf == pdflist[29]
# building_list_eng_20200310_225716.pdf == pdflist[45]
for (i_file in 29:45){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# remove text from second, irrelevant table
# step 1, remove pages after the beginning of the table
# step 2, remove text after the title of the irrelevant table
temptext <- temptext[1:grep("List of buildings with confirmed cases visited from 2 days before onset of symptoms", temptext)]
temptext <- gsub("List of buildings with confirmed cases visited from 2 days before onset of symptoms.*", "", temptext)
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
# List of buildings with confirmed / probable cases visited from 2 days
# from building_list_eng_20200311_223130.pdf == pdflist[46]
# to building_list_eng_20200326_000000.pdf == pdflist[61]
for (i_file in 46:61){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# remove text from second, irrelevant table
temptext <- temptext[1:grep("List of buildings with confirmed / probable cases visited from 2 days", temptext)-1]
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
# "List of buildings with confirmed / probable cases visited"
# from building_list_eng_20200327_234929.pdf == pdflist[62]
# to building_list_eng_20200425_000000.pdf == pdflist[91]
for (i_file in 62:91){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# remove text from second, irrelevant table
temptext <- temptext[1:grep("List of buildings with confirmed / probable cases visited", temptext)-1]
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
# "List of buildings visited by confirmed / probable cases"
# from building_list_eng_20200426_000000.pdf == pdflist[92]
# to building_list_eng_20200428.pdf == pdflist[94]
for (i_file in 92:94){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# remove text from second, irrelevant table
# step 1, remove pages after the beginning of the table
# step 2, remove text after the title of the irrelevant table
temptext <- temptext[1:grep("List of buildings visited by confirmed / probable cases", temptext)]
temptext <- gsub("List of buildings visited by confirmed / probable cases.*", "", temptext)
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
# "List of Buildings Visited by Confirmed / Probable Cases"
# from building_list_eng_20200429.pdf == pdflist[95]
# to building_list_eng_20200707.pdf == pdflist[164]
for (i_file in 95:164){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# remove text from second, irrelevant table
# step 1, remove pages after the beginning of the table
# step 2, remove text after the title of the irrelevant table
temptext <- temptext[1:grep("List of Buildings Visited by Confirmed / Probable Cases", temptext)]
temptext <- gsub("List of Buildings Visited by Confirmed / Probable Cases.*", "", temptext)
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
# "List of buildings with confirmed / probable cases visited from 2 days"
# from building_list_eng_20200708.pdf == pdflist[165]
# to building_list_eng_20200829.pdf == pdflist[217]
for (i_file in 165:217){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# remove text from second, irrelevant table
# step 1, remove pages after the beginning of the table
# step 2, remove text after the title of the irrelevant table
temptext <- temptext[1:grep("List of buildings with confirmed / probable cases visited from 2 days", temptext)]
temptext <- gsub("List of buildings with confirmed / probable cases visited from 2 days.*", "", temptext)
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
# "List of buildings with confirmed / probable cases visited from 2 days before onset"
# from building_list_eng_20200830.pdf == pdflist[218]
# to current
for (i_file in 218:length(pdflist)){
# loop through each target file, also retrive date from file name
targetfile <- paste("../00_original/", pdflist[i_file], sep="")
temptext <- pdf_text(targetfile)
tempdate <- stringr::str_extract(pdflist[i_file], "2020[0-9]+")
tempdate <- format(as.Date(tempdate, "%Y%m%d"))
# remove text from second, irrelevant table
# step 1, remove pages after the beginning of the table
# step 2, remove text after the title of the irrelevant table
temptext <- temptext[1:grep("List of buildings with confirmed / probable cases visited from 2 days before onset", temptext)]
temptext <- gsub("List of buildings with confirmed / probable cases visited from 2 days before onset.*", "", temptext)
# loop through each district
for (i_district in 1:dim(district)[1]){
# since districts in PDF always appear after a line break
# set up regex pattern to match
if (district$district_en[i_district] == "Sha Tin"){
targetdistrict <- paste("\\\n[ ]*", "(Shatin|Sha Tin)", sep="")
} else if (district$district_en[i_district] == "Central & Western") {
targetdistrict <- paste("\\\n[ ]*", "(Central|Central & Western)", sep="")
} else {
targetdistrict <- paste("\\\n[ ]*", district$district_en[i_district], sep="")
}
# grep all matches, then unlist to get matching locations
tempcount <- gregexpr(targetdistrict, temptext)
tempcount <- unlist(tempcount)
# note non-matches are -1
# get num of district's cases
numofcase <- sum(tempcount!=-1)
# cbind required information, then rbind it to the df master2wk
temprow <- cbind(district_en = as.character(district$district_en[i_district]),
day = tempdate,
case = numofcase)
master2wk <- rbind(master2wk, temprow)
}
}
#############################
# done with data extraction #
#############################
write.csv(master2wk, "hk-covid19-2wk.csv", row.names=F)
###################################
# data wrangle / summary for plot #
###################################
master2wk$case <- as.numeric(as.character(master2wk$case))
master2wk$day <- as.Date(master2wk$day)
masterday <- master2wk
masterday$case <- round(masterday$case/14, 3)
masterday <- merge(masterday, district, by="district_en", all.x=T)
masterday$case100k <- round(masterday$case / masterday$pop*100000, 2)
# aesthetics
masterday <- masterday[order(masterday$day, masterday$district_en), ]
masterday <- masterday[, c(1, 4, 5, 2, 3, 6)]
day_earliest <- min(masterday$day)
day_latest <- max(masterday$day)
# find latest PDF name
# extract data for map
pdflist[length(pdflist)]
latestdate <- stringr::str_extract(pdflist[length(pdflist)], "2020[0-9]+")
latestdate <- format(as.Date(latestdate, "%Y%m%d"))
master2wk_latest <- subset(master2wk, master2wk$day == latestdate)
master2wk_latest <- merge(master2wk_latest, district, by="district_en")
master2wk_latest$case100k <- round(master2wk_latest$case / master2wk_latest$pop * 100000, 3)
master2wk_latest$day <- NULL
master2wk_latest$district_ch <- NULL
master2wk_latest$pop <- NULL
names(master2wk_latest) <- c("District", "case", "case100k")
head(masterday)
#########
# plots #
#########
fig_day <-
plot_ly() %>%
add_trace(data=masterday, type="scatter", mode="lines",
x=~day, y=~case, color=~district_ch) %>%
layout(title=list(text="14日平均每日新增新型肺炎個案", y=0.99),
xaxis=list(title="日期", range=c(day_earliest-1, day_latest +1)),
yaxis=list(title="14日平均新增新型肺炎個案"),
legend=list(x=0.025, y=0.975))
fig_100k <-
plot_ly() %>%
add_trace(data=masterday, type="scatter", mode="lines",
x=~day, y=~case100k, color=~district_ch) %>%
layout(title=list(text="14日平均每日每十萬人新增新型肺炎個案", y=0.99),
xaxis=list(title="日期", range=c(day_earliest-1, day_latest +1)),
yaxis=list(title="14日平均每十萬人新增新型肺炎個案"),
legend=list(x=0.025, y=0.975))
#######
# map #
#######
library(sf)
library(leaflet)
# read, then merge with numbers
districtmap <- st_read("../00_original/hksar_18_district_boundary.json")
districtmap <- merge(districtmap, master2wk_latest, by="District")
# cf https://rstudio.github.io/leaflet/choropleths.html
bins_raw <- c(0, 1, 2, 5, 10, 15, 70, 100, Inf)
palette_raw <- colorBin("Reds", domain=districtmap$case, bins=bins_raw)
label_raw <- sprintf("<strong>%s</strong><br/>過去14日有 %g 宗確診或疑似個案",
districtmap$地區, districtmap$case) %>%
lapply(htmltools::HTML)
map_raw <-
leaflet() %>%
setView(114.167265, 22.360296, zoom=10) %>%
addPolygons(data=districtmap, color="black", weight=2, dashArray="3",
fillColor=~palette_raw(case), fillOpacity=0.7,
highlight=highlightOptions(weight=5, dashArray = "", bringToFront = TRUE),
label=label_raw) %>%
addProviderTiles(providers$Esri.WorldTopoMap)
bins_100k <- c(0, 1, 2.5, 5, 10, 25, Inf)
palette_100k <- colorBin("Reds", domain=districtmap$case100k, bins=bins_100k)
label_100k <- sprintf("<strong>%s</strong><br/>過去14日，每十萬人有 %g 宗確診或疑似個案",
districtmap$地區, districtmap$case100k) %>%
lapply(htmltools::HTML)
map_100k <-
leaflet() %>%
setView(114.167265, 22.360296, zoom=10) %>%
addPolygons(data=districtmap, color="black", weight=2, dashArray="3",
fillColor=~palette_100k(case100k), fillOpacity=0.7,
highlight=highlightOptions(weight=5, dashArray = "", bringToFront = TRUE),
label=label_100k) %>%
addProviderTiles(providers$Esri.WorldTopoMap)
##################
# Make dashboard #
##################
# make dashboard, copy to root directory
rmarkdown::render(input = "index.Rmd")
file.copy("index.html", "../docs/", overwrite=T)
|
# Exercise 2: using `*apply()` functions
# Create a *list* of 10 random numbers. Use the `runif()` function to make a
# vector of random numbers, then use `as.list()` to convert that to a list
rand_list <- as.list(runif(10, 1, 100))
# Use `lapply()` to apply the `round()` function to each number, rounding it to
# the nearest 0.1 (one decimal place)
lapply(rand_list, round, 1)
# Create a variable 'sentence' that contains a sentence of text (something
# longish). Make the sentence lowercase; you can use a function to help.
sentence <- tolower("My name is Arjun Vaghela and I like pie.")
# Use the `strsplit()` function to split the sentence into a vector of letters.
# Hint: split on `""` to split every character
# Note: this will return a _list_ with 1 element (which is the vector of letters)
letters <- strsplit(sentence, "")
# Extract the vector of letters from the resulting list
letters_extract <- letters[[1]]
# Use the `unique()` function to get a vector of unique letters
letters_unique <- unique(letters)
# Define a function `count_occurrences` that takes in two parameters: a letter
# and a vector of letters. The function should return how many times that letter
# occurs in the provided vector.
# Hint: use a filter operation!
count_occurrences <- function(letter, vector_letters) {
length(vector_letters[vector_letters == letter])
}
# Call your `count_occurrences()` function to see how many times the letter 'e'
# is in your sentence.
count_occurrences("e", letters_extract)
# Use `sapply()` to apply your `count_occurrences()` function to each unique
# letter in the vector to determine their frequencies.
# Convert the result into a list (using `as.list()`).
frequencies <- as.list(sapply(letters_unique, count_occurrences, letters_extract))
# Print the resulting list of frequencies
print(frequencies)
| /chapter-08-exercises/exercise-2/exercise.R | permissive | info-201a-sp21/exercises-avaghela-1925502 | R | false | false | 1,852 | r | # Exercise 2: using `*apply()` functions
# Create a *list* of 10 random numbers. Use the `runif()` function to make a
# vector of random numbers, then use `as.list()` to convert that to a list
rand_list <- as.list(runif(10, 1, 100))
# Use `lapply()` to apply the `round()` function to each number, rounding it to
# the nearest 0.1 (one decimal place)
lapply(rand_list, round, 1)
# Create a variable 'sentence' that contains a sentence of text (something
# longish). Make the sentence lowercase; you can use a function to help.
sentence <- tolower("My name is Arjun Vaghela and I like pie.")
# Use the `strsplit()` function to split the sentence into a vector of letters.
# Hint: split on `""` to split every character
# Note: this will return a _list_ with 1 element (which is the vector of letters)
letters <- strsplit(sentence, "")
# Extract the vector of letters from the resulting list
letters_extract <- letters[[1]]
# Use the `unique()` function to get a vector of unique letters
letters_unique <- unique(letters)
# Define a function `count_occurrences` that takes in two parameters: a letter
# and a vector of letters. The function should return how many times that letter
# occurs in the provided vector.
# Hint: use a filter operation!
count_occurrences <- function(letter, vector_letters) {
length(vector_letters[vector_letters == letter])
}
# Call your `count_occurrences()` function to see how many times the letter 'e'
# is in your sentence.
count_occurrences("e", letters_extract)
# Use `sapply()` to apply your `count_occurrences()` function to each unique
# letter in the vector to determine their frequencies.
# Convert the result into a list (using `as.list()`).
frequencies <- as.list(sapply(letters_unique, count_occurrences, letters_extract))
# Print the resulting list of frequencies
print(frequencies)
|
library(foreach)
library(caret)
partialDependence <- function(
object, X, predictor, pred.fun,
verbose = T, grid.size=10, grid.window=c(0, 1), sample.rate=1,
allow.parallel = T){
if (missing(object)) stop('A model object must be supplied')
if (missing(X)) stop('Training data must be supplied')
if (missing(predictor)) stop('A target predictor name must be supplied')
if (!is.character(predictor) || length(predictor) > 1) stop('Predictor must be a single string')
if (missing(pred.fun)) stop('A prediction function must be supplied')
if (sample.rate <= 0 || sample.rate > 1) stop('Sample rate must be in (0, 1]')
if (verbose) cat(sprintf('PDP: Computing grid points for predictor "%s"\n', predictor))
# Create stratified sample wrt to predictor, if sample.rate present
index <- NULL
if (sample.rate < 1){
N <- nrow(X)
# Stratify predictor values
partitions <- createFolds(X[, predictor], k=10, returnTrain=F)
# Determine observation sample to use
sample.fun <- function(p) sample(p, floor(length(p)*sample.rate), replace=F)
index <- unname(unlist(lapply(partitions, sample.fun)))
if (any(duplicated(index)))
stop('Sampling index includes duplicates? This should not be possible.')
# Create sampled predictor data frame
X <- X[index, ]
if (verbose){
cat(sprintf(
"PDP: Original predictor dataset reduced to size %s from %s (at sample rate=%s)\n",
nrow(X), N, sample.rate
))
}
}
# Generate predictor value grid to compute PDP for
N <- nrow(X)
x <- X[, predictor]
if (is.factor(x) || length(unique(x)) <= 2){
grid <- unique(x)
} else {
grid <- as.numeric(x)
x.range <- quantile(x, probs=grid.window)
grid <- seq(x.range[1], x.range[2], len = grid.size)
}
# Set number of grid points to compute pdp for
n.grid <- length(grid)
if (n.grid == 1){
stop(sprintf(
'Predictor "%s" only has one unique value. Partial dependence calculation requires at least 2',
predictor
))
}
if (verbose) {
cat(sprintf(
"PDP: Computing PDP estimates for %s predictor values\n", n.grid
))
}
# Determine foreach parallel mode (only use parallel if enabled and multiple backends registered)
`%op%` <- if (allow.parallel && getDoParWorkers() > 1) `%dopar%` else `%do%`
# Milestone value for progress reporting
n.split <- floor(n.grid/10)
pdp <- foreach(i=1:n.grid, .combine=rbind) %op% {
if (verbose && n.split > 0 && i %% n.split == 0) {
cat(sprintf(
"PDP: Processing predictor grid point %s of %s (%s%% complete)\n",
i, n.grid, round(100*i/n.grid)
))
}
X[, predictor] <- grid[i]
pred.fun(object, X)
}
rownames(pdp) = grid
list(pdp=pdp, grid=grid, index=index, x=x, predictor=predictor)
} | /functional/ml/R/partial_dependence.R | no_license | eric-czech/portfolio | R | false | false | 2,858 | r | library(foreach)
library(caret)
partialDependence <- function(
object, X, predictor, pred.fun,
verbose = T, grid.size=10, grid.window=c(0, 1), sample.rate=1,
allow.parallel = T){
if (missing(object)) stop('A model object must be supplied')
if (missing(X)) stop('Training data must be supplied')
if (missing(predictor)) stop('A target predictor name must be supplied')
if (!is.character(predictor) || length(predictor) > 1) stop('Predictor must be a single string')
if (missing(pred.fun)) stop('A prediction function must be supplied')
if (sample.rate <= 0 || sample.rate > 1) stop('Sample rate must be in (0, 1]')
if (verbose) cat(sprintf('PDP: Computing grid points for predictor "%s"\n', predictor))
# Create stratified sample wrt to predictor, if sample.rate present
index <- NULL
if (sample.rate < 1){
N <- nrow(X)
# Stratify predictor values
partitions <- createFolds(X[, predictor], k=10, returnTrain=F)
# Determine observation sample to use
sample.fun <- function(p) sample(p, floor(length(p)*sample.rate), replace=F)
index <- unname(unlist(lapply(partitions, sample.fun)))
if (any(duplicated(index)))
stop('Sampling index includes duplicates? This should not be possible.')
# Create sampled predictor data frame
X <- X[index, ]
if (verbose){
cat(sprintf(
"PDP: Original predictor dataset reduced to size %s from %s (at sample rate=%s)\n",
nrow(X), N, sample.rate
))
}
}
# Generate predictor value grid to compute PDP for
N <- nrow(X)
x <- X[, predictor]
if (is.factor(x) || length(unique(x)) <= 2){
grid <- unique(x)
} else {
grid <- as.numeric(x)
x.range <- quantile(x, probs=grid.window)
grid <- seq(x.range[1], x.range[2], len = grid.size)
}
# Set number of grid points to compute pdp for
n.grid <- length(grid)
if (n.grid == 1){
stop(sprintf(
'Predictor "%s" only has one unique value. Partial dependence calculation requires at least 2',
predictor
))
}
if (verbose) {
cat(sprintf(
"PDP: Computing PDP estimates for %s predictor values\n", n.grid
))
}
# Determine foreach parallel mode (only use parallel if enabled and multiple backends registered)
`%op%` <- if (allow.parallel && getDoParWorkers() > 1) `%dopar%` else `%do%`
# Milestone value for progress reporting
n.split <- floor(n.grid/10)
pdp <- foreach(i=1:n.grid, .combine=rbind) %op% {
if (verbose && n.split > 0 && i %% n.split == 0) {
cat(sprintf(
"PDP: Processing predictor grid point %s of %s (%s%% complete)\n",
i, n.grid, round(100*i/n.grid)
))
}
X[, predictor] <- grid[i]
pred.fun(object, X)
}
rownames(pdp) = grid
list(pdp=pdp, grid=grid, index=index, x=x, predictor=predictor)
} |
\name{power.curve}
\alias{power.curve}
%- Also NEED an '\alias' for EACH other topic documented here.
\title{
Generate a power curve
}
\description{
Generate a power curve either based on Sobel test or bootstrap
}
\usage{
power.curve(model, nobs=100, method='normal', nrep=1000,
nboot=1000, alpha=.95, skewness=NULL, kurtosis=NULL, ovnames=NULL,
ci='default', boot.type='default',
se="default", estimator="default", parallel="no",
ncore=1, interactive=TRUE, ...)
}
%- maybe also 'usage' for other objects documented here.
\arguments{
\item{model}{
A model specified using lavaan notation and above. See \code{\link{model.syntax}} for basic model specification.
For the power analysis, the population parameter values should be provided in the following way. For example, the coefficient between math and HE is .39. Then it is specified as start(.39). If the parameter will be referred in the mediation effect, a label should be given as a modifier as b*HE+start(.39)*HE.
It also specify the indirect or other composite effects using lavaan notation.
model<-'
math ~ c*ME+start(0)*ME + b*HE+start(.39)*HE
HE ~ a*ME+start(.39)*ME
ab := a*b
abc := a*b + c
'
}
\item{method}{Type of confidence intervals based on. Must be "normal", "boot" or "robust", which correspond to the normal, bootstrap or robust Huber-type confidence interval, respectively.}
\item{nobs}{
Number of observations for power analysis. It is typically should be a vector for single group analysis. For multiple group analysis, it should be a matrix.
}
\item{nrep}{
Number of replications for Monte Carlo simulation. At least 1,000 is recommended.
}
\item{nboot}{Number of bootstraps to conduct.}
\item{alpha}{
The alpha level is used to obtain the confidence interval for model parameters.
}
\item{skewness}{
A vector to give the skewness for the observed variables.
}
\item{kurtosis}{
A vector to give the kurtosis for the observed variables.
}
\item{ovnames}{
A vector to give the variable names for the observed variables. This is only needed when the skewness and kurtosis are provided. The skewness, kurtosis and variable names should be in the same order.
}
\item{se}{
How to calculate the standard error, for example, robust standard error can be specified using se="robust".
}
\item{estimator}{
Estimation methods to be used here.
}
\item{parallel}{
Parallel methods, snow or multicore, can be used here.
}
\item{ncore}{
Number of cores to be used in parallel. By default, the maximum number of cores are used.
}
\item{ci}{Type of bootstrap confidence intervals. By default, the percentile one is used. To get the bias-corrected one, use ci='BC'}
\item{boot.type}{Type of bootstrap method. By default, the nonparametric one is used. Changing it to "BS" to use the Bollen-Stine method.}
\item{interactive}{Whether to get the figure interactively.}
\item{\dots}{
Other named arguments for lavaan can be passed here.
}
}
\examples{
\dontrun{
ex2model<-'
ept ~ start(.4)*hvltt + b*hvltt + start(0)*age + start(0)*edu + start(2)*R
hvltt ~ start(-.35)*age + a*age + c*edu + start(.5)*edu
R ~ start(-.06)*age + start(.2)*edu
R =~ 1*ws + start(.8)*ls + start(.5)*lt
age ~~ start(30)*age
edu ~~ start(8)*edu
age ~~ start(-2.8)*edu
hvltt ~~ start(23)*hvltt
R ~~ start(14)*R
ws ~~ start(3)*ws
ls ~~ start(3)*ls
lt ~~ start(3)*lt
ept ~~ start(3)*ept
ind1 := a*b + c*b
'
nobs <- seq(100, 2000, by=200)
power.curve(model=ex2model, nobs=nobs, method='boot',
parallel='multicore', ncore=60, interactive=F)
}
} | /man/power.curve.Rd | no_license | mingsgen/bmemLavaan | R | false | false | 3,621 | rd | \name{power.curve}
\alias{power.curve}
%- Also NEED an '\alias' for EACH other topic documented here.
\title{
Generate a power curve
}
\description{
Generate a power curve either based on Sobel test or bootstrap
}
\usage{
power.curve(model, nobs=100, method='normal', nrep=1000,
nboot=1000, alpha=.95, skewness=NULL, kurtosis=NULL, ovnames=NULL,
ci='default', boot.type='default',
se="default", estimator="default", parallel="no",
ncore=1, interactive=TRUE, ...)
}
%- maybe also 'usage' for other objects documented here.
\arguments{
\item{model}{
A model specified using lavaan notation and above. See \code{\link{model.syntax}} for basic model specification.
For the power analysis, the population parameter values should be provided in the following way. For example, the coefficient between math and HE is .39. Then it is specified as start(.39). If the parameter will be referred in the mediation effect, a label should be given as a modifier as b*HE+start(.39)*HE.
It also specify the indirect or other composite effects using lavaan notation.
model<-'
math ~ c*ME+start(0)*ME + b*HE+start(.39)*HE
HE ~ a*ME+start(.39)*ME
ab := a*b
abc := a*b + c
'
}
\item{method}{Type of confidence intervals based on. Must be "normal", "boot" or "robust", which correspond to the normal, bootstrap or robust Huber-type confidence interval, respectively.}
\item{nobs}{
Number of observations for power analysis. It is typically should be a vector for single group analysis. For multiple group analysis, it should be a matrix.
}
\item{nrep}{
Number of replications for Monte Carlo simulation. At least 1,000 is recommended.
}
\item{nboot}{Number of bootstraps to conduct.}
\item{alpha}{
The alpha level is used to obtain the confidence interval for model parameters.
}
\item{skewness}{
A vector to give the skewness for the observed variables.
}
\item{kurtosis}{
A vector to give the kurtosis for the observed variables.
}
\item{ovnames}{
A vector to give the variable names for the observed variables. This is only needed when the skewness and kurtosis are provided. The skewness, kurtosis and variable names should be in the same order.
}
\item{se}{
How to calculate the standard error, for example, robust standard error can be specified using se="robust".
}
\item{estimator}{
Estimation methods to be used here.
}
\item{parallel}{
Parallel methods, snow or multicore, can be used here.
}
\item{ncore}{
Number of cores to be used in parallel. By default, the maximum number of cores are used.
}
\item{ci}{Type of bootstrap confidence intervals. By default, the percentile one is used. To get the bias-corrected one, use ci='BC'}
\item{boot.type}{Type of bootstrap method. By default, the nonparametric one is used. Changing it to "BS" to use the Bollen-Stine method.}
\item{interactive}{Whether to get the figure interactively.}
\item{\dots}{
Other named arguments for lavaan can be passed here.
}
}
\examples{
\dontrun{
ex2model<-'
ept ~ start(.4)*hvltt + b*hvltt + start(0)*age + start(0)*edu + start(2)*R
hvltt ~ start(-.35)*age + a*age + c*edu + start(.5)*edu
R ~ start(-.06)*age + start(.2)*edu
R =~ 1*ws + start(.8)*ls + start(.5)*lt
age ~~ start(30)*age
edu ~~ start(8)*edu
age ~~ start(-2.8)*edu
hvltt ~~ start(23)*hvltt
R ~~ start(14)*R
ws ~~ start(3)*ws
ls ~~ start(3)*ls
lt ~~ start(3)*lt
ept ~~ start(3)*ept
ind1 := a*b + c*b
'
nobs <- seq(100, 2000, by=200)
power.curve(model=ex2model, nobs=nobs, method='boot',
parallel='multicore', ncore=60, interactive=F)
}
} |
library(ISLR)
library(boot)
library(dplyr)
plot(mpg ~ horsepower,data = ISLR::Auto)
nrow(ISLR::Auto) == 392
set.seed(123)
vct_random_row <- sample(nrow(ISLR::Auto))
# ========CROSS VALIDATION BASIC PROCESS ===============
# split into test and training.....set parameters on training
# then see how they go on test.......
# K-FOLD 5 splits up into 5 groups....the test statistic
# is averaged.....for the 5 folds........
# Set Polynomial = n run this over Kfolds store K test statistics
# Set Polynomial = n + 1 run this over Kfolds....
# The total number of test statistics is Number of Polynomials * Number Folds
# ============= K fold cross validation =================
# folds <- cut(seq(1,nrow(ISLR::Auto)),breaks=10,labels=FALSE)
# Schau dir das an 1,1,1,1...2,2,2,....3,3,3,3 ..... 10
vct_folds <- cut(1:nrow(ISLR::Auto), breaks = 10, labels = FALSE)
table(vct_folds)
# Matrixvorbereitung
mat_result <- matrix(rep(NA, 10 * 10), nrow = 10, ncol = 10)
rownames(mat_result) <- paste0("poly_", 1:10)
colnames(mat_result) <- paste0("cv_", 1:10)
for (int_degree in 1:10) {
for(int_k_fold in 1:10) {
# row numbers for test set
vct_test <- vct_random_row[vct_folds == int_k_fold]
# test is about 40 rows
df_test <- ISLR::Auto[vct_test, ]
# train is about 352 rows
df_train <- ISLR::Auto[-vct_test,]
# fit model to training set - using n degree polynomial
model_fit_train <- lm(mpg ~ poly(horsepower, int_degree), data = df_train)
# make predictions on the test set prediction is mpg
vct_predict <- predict(model_fit_train, df_test)
# calculate mean squared error
flt_mse_test <- mean((vct_predict - df_test$mpg) ^ 2)
# stick result in the matrix
mat_result[int_degree, int_k_fold] <- flt_mse_test
}
}
apply(mat_result, MARGIN = 1, mean)
# ============= Leave one out cross validation =================
vct_random_row
mat_result_loocv <- matrix(rep(NA, 5 * nrow(ISLR::Auto)), nrow = 5, ncol = nrow(ISLR::Auto))
rownames(mat_result_loocv) <- paste0("poly_", 1:5)
colnames(mat_result_loocv) <- paste0("cv_", 1:392)
for (int_degree in 1:5) {
print(paste("This is the current degree:", int_degree))
for(int_loo in 1:nrow(ISLR::Auto)) {
# test is 1 row
df_test <- ISLR::Auto[int_loo, ]
# train is 392 - 1 ==> 391 rows
df_train <- ISLR::Auto[-int_loo, ]
# fit model to training set
model_fit_train <- lm(mpg ~ poly(horsepower, int_degree), data = df_train)
# make predictions on the test set ==> 1 row
vct_predict <- predict(model_fit_train, df_test)
# calculate mean squared error
flt_mse_test <- mean((vct_predict - df_test$mpg) ^ 2)
# stick result in the matrix
mat_result_loocv[int_degree, int_loo] <- flt_mse_test
} # int_loo
} # int_degree
vct_actual_result <- apply(mat_result_loocv, MARGIN = 1, mean) %>% round(., 2)
vct_actual_result
# see Hastie page 193
vct_expected_result <- c(24.23, 19.25, 19.33, 19.42, 19.03)
vct_expected_result
all(vct_actual_result == vct_expected_result)
| /cross_validation.r | no_license | thefactmachine/forrest_experiments | R | false | false | 3,136 | r | library(ISLR)
library(boot)
library(dplyr)
plot(mpg ~ horsepower,data = ISLR::Auto)
nrow(ISLR::Auto) == 392
set.seed(123)
vct_random_row <- sample(nrow(ISLR::Auto))
# ========CROSS VALIDATION BASIC PROCESS ===============
# split into test and training.....set parameters on training
# then see how they go on test.......
# K-FOLD 5 splits up into 5 groups....the test statistic
# is averaged.....for the 5 folds........
# Set Polynomial = n run this over Kfolds store K test statistics
# Set Polynomial = n + 1 run this over Kfolds....
# The total number of test statistics is Number of Polynomials * Number Folds
# ============= K fold cross validation =================
# folds <- cut(seq(1,nrow(ISLR::Auto)),breaks=10,labels=FALSE)
# Schau dir das an 1,1,1,1...2,2,2,....3,3,3,3 ..... 10
vct_folds <- cut(1:nrow(ISLR::Auto), breaks = 10, labels = FALSE)
table(vct_folds)
# Matrixvorbereitung
mat_result <- matrix(rep(NA, 10 * 10), nrow = 10, ncol = 10)
rownames(mat_result) <- paste0("poly_", 1:10)
colnames(mat_result) <- paste0("cv_", 1:10)
for (int_degree in 1:10) {
for(int_k_fold in 1:10) {
# row numbers for test set
vct_test <- vct_random_row[vct_folds == int_k_fold]
# test is about 40 rows
df_test <- ISLR::Auto[vct_test, ]
# train is about 352 rows
df_train <- ISLR::Auto[-vct_test,]
# fit model to training set - using n degree polynomial
model_fit_train <- lm(mpg ~ poly(horsepower, int_degree), data = df_train)
# make predictions on the test set prediction is mpg
vct_predict <- predict(model_fit_train, df_test)
# calculate mean squared error
flt_mse_test <- mean((vct_predict - df_test$mpg) ^ 2)
# stick result in the matrix
mat_result[int_degree, int_k_fold] <- flt_mse_test
}
}
apply(mat_result, MARGIN = 1, mean)
# ============= Leave one out cross validation =================
vct_random_row
mat_result_loocv <- matrix(rep(NA, 5 * nrow(ISLR::Auto)), nrow = 5, ncol = nrow(ISLR::Auto))
rownames(mat_result_loocv) <- paste0("poly_", 1:5)
colnames(mat_result_loocv) <- paste0("cv_", 1:392)
for (int_degree in 1:5) {
print(paste("This is the current degree:", int_degree))
for(int_loo in 1:nrow(ISLR::Auto)) {
# test is 1 row
df_test <- ISLR::Auto[int_loo, ]
# train is 392 - 1 ==> 391 rows
df_train <- ISLR::Auto[-int_loo, ]
# fit model to training set
model_fit_train <- lm(mpg ~ poly(horsepower, int_degree), data = df_train)
# make predictions on the test set ==> 1 row
vct_predict <- predict(model_fit_train, df_test)
# calculate mean squared error
flt_mse_test <- mean((vct_predict - df_test$mpg) ^ 2)
# stick result in the matrix
mat_result_loocv[int_degree, int_loo] <- flt_mse_test
} # int_loo
} # int_degree
vct_actual_result <- apply(mat_result_loocv, MARGIN = 1, mean) %>% round(., 2)
vct_actual_result
# see Hastie page 193
vct_expected_result <- c(24.23, 19.25, 19.33, 19.42, 19.03)
vct_expected_result
all(vct_actual_result == vct_expected_result)
|
#Example 1.12 Section I. Solving Linear Systems page7
#package used matlib v0.9.1
#install package using command: install.packages("matlib")
#Github reposiory of matlib :https://github.com/friendly/matlib
#installing and loading library
#install.packages("matlib")
library("matlib")
#program
A <- matrix(c(1,2,2,3,1,2),ncol = 2)
b <- c(1,-3,-2)
#for this problem we cannot use normal method because the number of equations is more than number of variables
#so we use gaussian elimination technique.
gaussianElimination(A, b, tol = sqrt(.Machine$double.eps), verbose = FALSE,
latex = FALSE, fractions = FALSE)
# result shows that one of the equations is redundant, here x=-2,y=1 | /Ajay Ragh/R_TBC/Linear Algebra/chapter1/Ex1_12.R | no_license | sahridhaya/BitPlease | R | false | false | 701 | r | #Example 1.12 Section I. Solving Linear Systems page7
#package used matlib v0.9.1
#install package using command: install.packages("matlib")
#Github reposiory of matlib :https://github.com/friendly/matlib
#installing and loading library
#install.packages("matlib")
library("matlib")
#program
A <- matrix(c(1,2,2,3,1,2),ncol = 2)
b <- c(1,-3,-2)
#for this problem we cannot use normal method because the number of equations is more than number of variables
#so we use gaussian elimination technique.
gaussianElimination(A, b, tol = sqrt(.Machine$double.eps), verbose = FALSE,
latex = FALSE, fractions = FALSE)
# result shows that one of the equations is redundant, here x=-2,y=1 |
#' Plot method for plant objects.
#'
#' @param x The \code{plant} object to be plotted.
#' @param trunk.width The plotting line width for the trunk. Successive child
#' branches are plotted with increasingly finer \code{lwd}, to a minimum of
#' \code{1}.
#' @param add If \code{TRUE}, the plant will be added to the current plot.
#' @param ... Additional arguments passed to \code{plot} and \code{segments}.
#' @return \code{NULL}
#' @seealso \code{\link{germinate}}
#' @export
plot.plant <- function(x, trunk.width=20, add=FALSE, ...) {
if(isTRUE(add)) {
with(x, segments(x0, y0, x1, y1, lwd=pmax(trunk.width/nchar(x$branches), 1), ...))
} else {
plot(c(x$x0, x$x1), c(x$y0, x$y1), type='n', asp=1, axes=FALSE, xlab='', ylab='', ...)
with(x, segments(x0, y0, x1, y1, lwd=pmax(trunk.width/nchar(x$branches), 1), ...))
}
}
| /R/plot.plant.R | no_license | xtmgah/trees | R | false | false | 848 | r | #' Plot method for plant objects.
#'
#' @param x The \code{plant} object to be plotted.
#' @param trunk.width The plotting line width for the trunk. Successive child
#' branches are plotted with increasingly finer \code{lwd}, to a minimum of
#' \code{1}.
#' @param add If \code{TRUE}, the plant will be added to the current plot.
#' @param ... Additional arguments passed to \code{plot} and \code{segments}.
#' @return \code{NULL}
#' @seealso \code{\link{germinate}}
#' @export
plot.plant <- function(x, trunk.width=20, add=FALSE, ...) {
if(isTRUE(add)) {
with(x, segments(x0, y0, x1, y1, lwd=pmax(trunk.width/nchar(x$branches), 1), ...))
} else {
plot(c(x$x0, x$x1), c(x$y0, x$y1), type='n', asp=1, axes=FALSE, xlab='', ylab='', ...)
with(x, segments(x0, y0, x1, y1, lwd=pmax(trunk.width/nchar(x$branches), 1), ...))
}
}
|
# loading the dataset into R.
# If you have the dataset .txt in your directory you can use this way: "./household_power_consumption.txt". Otherwise, please use ./data/household_power_consumption.txt
# Read.table is a function that read a file in table forma and creates a data frame from it.
# "./data/household_power_consumption.txt" is a file
# header to indicated whether the file contains the names of the variables as its first line
# sep=";" that means that values on each line are separated by ";". In other cases, I could be \t
# stringsAsFactors=FALSE means that characters vectors should be converted to factors. In this cases this factors are not necessary.
# the character used in the file for decimal points.
hpctxt <- read.table("./data/household_power_consumption.txt", header=TRUE, sep=";", stringsAsFactors=FALSE, dec=".")
# $ is an operator to subset
# %in% is an operator to match
# "c("1/2/2007","2/2/2007") ," means the vector that you want to match
subSethpctxt <- hpctxt[hpctxt$Date %in% c("1/2/2007","2/2/2007") ,]
# str(subSethpctxt) that step is necessary to create the subset numbers that you want in your graphic.
# subSethpctxt$Global_active_power are string of a character and you need as numeric
globalActivePower <- as.numeric(subSethpctxt$Global_active_power)
# png is a format bitmap files. That is the format that is gonna save the graphic. It is necessary to write before creating an any graphic
# it is gonna save in PNG file with a width of 480 pixels and a height of 480 pixels.
png("plot1.png", width=480, height=480)
# hist is a histogram, globalActivePower is of data that you put in your graphic.
# col is colour
hist(globalActivePower, col="red", main="Global Active Power", xlab="Global Active Power (kilowatts)")
# dev.off is a function provides control over multiple graphics devices. In this case, close and save a graphic
dev.off()
| /plot1.R | no_license | jleandroj/ExData_Plotting1 | R | false | false | 1,892 | r | # loading the dataset into R.
# If you have the dataset .txt in your directory you can use this way: "./household_power_consumption.txt". Otherwise, please use ./data/household_power_consumption.txt
# Read.table is a function that read a file in table forma and creates a data frame from it.
# "./data/household_power_consumption.txt" is a file
# header to indicated whether the file contains the names of the variables as its first line
# sep=";" that means that values on each line are separated by ";". In other cases, I could be \t
# stringsAsFactors=FALSE means that characters vectors should be converted to factors. In this cases this factors are not necessary.
# the character used in the file for decimal points.
hpctxt <- read.table("./data/household_power_consumption.txt", header=TRUE, sep=";", stringsAsFactors=FALSE, dec=".")
# $ is an operator to subset
# %in% is an operator to match
# "c("1/2/2007","2/2/2007") ," means the vector that you want to match
subSethpctxt <- hpctxt[hpctxt$Date %in% c("1/2/2007","2/2/2007") ,]
# str(subSethpctxt) that step is necessary to create the subset numbers that you want in your graphic.
# subSethpctxt$Global_active_power are string of a character and you need as numeric
globalActivePower <- as.numeric(subSethpctxt$Global_active_power)
# png is a format bitmap files. That is the format that is gonna save the graphic. It is necessary to write before creating an any graphic
# it is gonna save in PNG file with a width of 480 pixels and a height of 480 pixels.
png("plot1.png", width=480, height=480)
# hist is a histogram, globalActivePower is of data that you put in your graphic.
# col is colour
hist(globalActivePower, col="red", main="Global Active Power", xlab="Global Active Power (kilowatts)")
# dev.off is a function provides control over multiple graphics devices. In this case, close and save a graphic
dev.off()
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/paws.ecr_operations.R
\name{list_images}
\alias{list_images}
\title{Lists all the image IDs for a given repository}
\usage{
list_images(registryId = NULL, repositoryName, nextToken = NULL,
maxResults = NULL, filter = NULL)
}
\arguments{
\item{registryId}{The AWS account ID associated with the registry that contains the repository in which to list images. If you do not specify a registry, the default registry is assumed.}
\item{repositoryName}{[required] The repository with image IDs to be listed.}
\item{nextToken}{The \code{nextToken} value returned from a previous paginated \code{ListImages} request where \code{maxResults} was used and the results exceeded the value of that parameter. Pagination continues from the end of the previous results that returned the \code{nextToken} value. This value is \code{null} when there are no more results to return.
This token should be treated as an opaque identifier that is only used to retrieve the next items in a list and not for other programmatic purposes.}
\item{maxResults}{The maximum number of image results returned by \code{ListImages} in paginated output. When this parameter is used, \code{ListImages} only returns \code{maxResults} results in a single page along with a \code{nextToken} response element. The remaining results of the initial request can be seen by sending another \code{ListImages} request with the returned \code{nextToken} value. This value can be between 1 and 1000. If this parameter is not used, then \code{ListImages} returns up to 100 results and a \code{nextToken} value, if applicable.}
\item{filter}{The filter key and value with which to filter your \code{ListImages} results.}
}
\description{
Lists all the image IDs for a given repository.
}
\details{
You can filter images based on whether or not they are tagged by setting the \code{tagStatus} parameter to \code{TAGGED} or \code{UNTAGGED}. For example, you can filter your results to return only \code{UNTAGGED} images and then pipe that result to a BatchDeleteImage operation to delete them. Or, you can filter your results to return only \code{TAGGED} images to list all of the tags in your repository.
}
\section{Accepted Parameters}{
\preformatted{list_images(
registryId = "string",
repositoryName = "string",
nextToken = "string",
maxResults = 123,
filter = list(
tagStatus = "TAGGED"|"UNTAGGED"|"ANY"
)
)
}
}
\examples{
# This example lists all of the images in the repository named ubuntu in
# the default registry in the current account.
\donttest{list_images(
repositoryName = "ubuntu"
)}
}
| /service/paws.ecr/man/list_images.Rd | permissive | CR-Mercado/paws | R | false | true | 2,654 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/paws.ecr_operations.R
\name{list_images}
\alias{list_images}
\title{Lists all the image IDs for a given repository}
\usage{
list_images(registryId = NULL, repositoryName, nextToken = NULL,
maxResults = NULL, filter = NULL)
}
\arguments{
\item{registryId}{The AWS account ID associated with the registry that contains the repository in which to list images. If you do not specify a registry, the default registry is assumed.}
\item{repositoryName}{[required] The repository with image IDs to be listed.}
\item{nextToken}{The \code{nextToken} value returned from a previous paginated \code{ListImages} request where \code{maxResults} was used and the results exceeded the value of that parameter. Pagination continues from the end of the previous results that returned the \code{nextToken} value. This value is \code{null} when there are no more results to return.
This token should be treated as an opaque identifier that is only used to retrieve the next items in a list and not for other programmatic purposes.}
\item{maxResults}{The maximum number of image results returned by \code{ListImages} in paginated output. When this parameter is used, \code{ListImages} only returns \code{maxResults} results in a single page along with a \code{nextToken} response element. The remaining results of the initial request can be seen by sending another \code{ListImages} request with the returned \code{nextToken} value. This value can be between 1 and 1000. If this parameter is not used, then \code{ListImages} returns up to 100 results and a \code{nextToken} value, if applicable.}
\item{filter}{The filter key and value with which to filter your \code{ListImages} results.}
}
\description{
Lists all the image IDs for a given repository.
}
\details{
You can filter images based on whether or not they are tagged by setting the \code{tagStatus} parameter to \code{TAGGED} or \code{UNTAGGED}. For example, you can filter your results to return only \code{UNTAGGED} images and then pipe that result to a BatchDeleteImage operation to delete them. Or, you can filter your results to return only \code{TAGGED} images to list all of the tags in your repository.
}
\section{Accepted Parameters}{
\preformatted{list_images(
registryId = "string",
repositoryName = "string",
nextToken = "string",
maxResults = 123,
filter = list(
tagStatus = "TAGGED"|"UNTAGGED"|"ANY"
)
)
}
}
\examples{
# This example lists all of the images in the repository named ubuntu in
# the default registry in the current account.
\donttest{list_images(
repositoryName = "ubuntu"
)}
}
|
mapa = function(lista, titulo1, nombre, label){
library(maps)
require(fields)
require(mapdata)
library(ggplot2)
library(metR)
library(RColorBrewer)
library(mapproj)
titulo = c("DJF", "MAM", "JJA", "SON")
for(i in 1:4){
value = array(lista[[i]]*mask, dim = 23*30)
data = matrix(data = NA, nrow=23*30, ncol = 3)
l=0
while(l<23*30){
data[seq(l:l+23),1]<-lon
l=l+23
}
for(j in 1:30){
lat_v = array(lat[j],dim=23)
data[(23*j-22):(j*23),2]<-lat_v
}
data[,3]<-value
error<-as.data.frame(data)
colnames(error)<-c("lon", "lat", "rx5")
error[which(error$lon>180),][,1]<-error[which(error$lon>180),][,1]-360
mapa <- map_data("world", regions = c("Brazil", "Uruguay", "Argentina", "French Guiana", "Suriname", "Colombia", "Venezuela",
"Bolivia", "Ecuador", "Chile", "Paraguay", "Peru", "Guyana", "Panama", "Costa Rica", "Nicaragua"),
colour = "black")
g <- ggplot() + theme_minimal()+
xlab("Longitud") + ylab("Latitud") +
theme(panel.border = element_blank(), panel.grid.major = element_line(colour = "grey"), panel.grid.minor = element_blank())+
geom_tile(data = error, aes(x = lon, y = lat, fill = rx5), alpha=1, na.rm = T)+
scale_fill_gradientn(limits = c(-100,100), name = label,colours = (brewer.pal(n=11,"RdYlBu")), na.value = "white")+
geom_polygon( data = mapa, aes(x = long, y = lat, group = group), fill = NA, color = "black") +#coord_map("stereographic", orientation = c(-35, -56, 0))+
ggtitle(paste(titulo1, " - " , titulo[i], sep = ""))+
scale_y_continuous(limits = c(-60, 15)) +
scale_x_continuous(limits = c(-90, -30))+
theme(axis.text.y = element_text(size=14), axis.text.x = element_text(size=14), axis.title.y = element_text(size=14),
axis.title.x = element_text(size=14), panel.grid.minor = element_blank(), axis.line = element_line(colour = "black"),
panel.border = element_rect(colour = "black", fill=NA, size=3),
panel.ontop = TRUE,
plot.title = element_text(hjust=0.5))
ggsave(paste("/home/auri/Facultad/Materias/Cambio_climatico/Tp_final/salidas/",nombre, "_", titulo[i], ".jpg",sep =""), plot = g, width = 15, height = 15 , units = "cm")
}
}
| /mapa.R | no_license | LucianoAndrian/CC | R | false | false | 2,401 | r | mapa = function(lista, titulo1, nombre, label){
library(maps)
require(fields)
require(mapdata)
library(ggplot2)
library(metR)
library(RColorBrewer)
library(mapproj)
titulo = c("DJF", "MAM", "JJA", "SON")
for(i in 1:4){
value = array(lista[[i]]*mask, dim = 23*30)
data = matrix(data = NA, nrow=23*30, ncol = 3)
l=0
while(l<23*30){
data[seq(l:l+23),1]<-lon
l=l+23
}
for(j in 1:30){
lat_v = array(lat[j],dim=23)
data[(23*j-22):(j*23),2]<-lat_v
}
data[,3]<-value
error<-as.data.frame(data)
colnames(error)<-c("lon", "lat", "rx5")
error[which(error$lon>180),][,1]<-error[which(error$lon>180),][,1]-360
mapa <- map_data("world", regions = c("Brazil", "Uruguay", "Argentina", "French Guiana", "Suriname", "Colombia", "Venezuela",
"Bolivia", "Ecuador", "Chile", "Paraguay", "Peru", "Guyana", "Panama", "Costa Rica", "Nicaragua"),
colour = "black")
g <- ggplot() + theme_minimal()+
xlab("Longitud") + ylab("Latitud") +
theme(panel.border = element_blank(), panel.grid.major = element_line(colour = "grey"), panel.grid.minor = element_blank())+
geom_tile(data = error, aes(x = lon, y = lat, fill = rx5), alpha=1, na.rm = T)+
scale_fill_gradientn(limits = c(-100,100), name = label,colours = (brewer.pal(n=11,"RdYlBu")), na.value = "white")+
geom_polygon( data = mapa, aes(x = long, y = lat, group = group), fill = NA, color = "black") +#coord_map("stereographic", orientation = c(-35, -56, 0))+
ggtitle(paste(titulo1, " - " , titulo[i], sep = ""))+
scale_y_continuous(limits = c(-60, 15)) +
scale_x_continuous(limits = c(-90, -30))+
theme(axis.text.y = element_text(size=14), axis.text.x = element_text(size=14), axis.title.y = element_text(size=14),
axis.title.x = element_text(size=14), panel.grid.minor = element_blank(), axis.line = element_line(colour = "black"),
panel.border = element_rect(colour = "black", fill=NA, size=3),
panel.ontop = TRUE,
plot.title = element_text(hjust=0.5))
ggsave(paste("/home/auri/Facultad/Materias/Cambio_climatico/Tp_final/salidas/",nombre, "_", titulo[i], ".jpg",sep =""), plot = g, width = 15, height = 15 , units = "cm")
}
}
|
## I have two main functions: makeCacheMatrix() and cacheSolve(),
## The makeCacheMatrix generally caches matrix and inverse and stores
## them indirectly in a list from which the can be aquired.
## The cacheSolve function tries to get the stored values from this
## list, and when it can't, it goes ahead to calculate the inverse by
## itself.
## The entire aim of the functions is to calculate inverse of a given
## matrix in a way that eliminates redundancy and hence saves time.
## THE MAKAECACHEMATRIX FUNCTION
## The parent function, makeCacheMatix(),creates and returns a list of
## it's child functions (closures): setMatrx(), getMatrx(),
## setInvas() and getInvas().
## The parent parameters are x, the matrix; and invas, the inverse of
## the matrix x.
## The closures gets and sets x and invas as their names implies.
makeCacheMatrix <- function(x = matrix()) {
invas <- NULL
setMatrx <- function(matrx) {
x <<- matrx
invas <<- NULL
}
getMatrx <- function() x
setInvas <- function(i) invas <<- i
getInvas <- function() invas
list(setMatrx = setMatrx, getMatrx = getMatrx,
setInvas = setInvas, getInvas = getInvas)
}
## THE CACHESOLVE FUNCTION
## The entire aim of this function is to return the inverse of cachedMatrx,
## that of newMatrix or just to return cachedInvas
## cachedMatrx and cachedInvas are matrix and inverse that have been stored
## indirectly in the list x.
## The function first checks if cachedInvas exists, so to simply return it.
## Then if cachedInvas is NULL, the function checks if cachedMatrx exists
## so as to use it to calculate newInvas, set the result as the current inverse
## and then return newInvas.
## Finally, if cachedMatrix is NULL, the function then takes newMatrix,
## calculates its inverse, set the result as the current inverse and returns
## the result.
cacheSolve <- function(x, newMatrx) {
cachedInvas <- x$getInvas()
if(!is.null(cachedInvas)) {
message("...getting cached inverse")
return(cachedInvas)
}
cachedMatrx <- x$getMatrx()
if(!is.null(cachedMatrx)){
message("...getting cached matrix")
newInvas<- solve(cachedMatrx)
x$setInvas(newInvas)
return(newInvas)
}else {
newInvas<- solve(newMatrx)
x$setInvas(newInvas)
return(newInvas)
}
} | /cachematrix.R | no_license | SMIJes/ProgrammingAssignment2 | R | false | false | 2,314 | r | ## I have two main functions: makeCacheMatrix() and cacheSolve(),
## The makeCacheMatrix generally caches matrix and inverse and stores
## them indirectly in a list from which the can be aquired.
## The cacheSolve function tries to get the stored values from this
## list, and when it can't, it goes ahead to calculate the inverse by
## itself.
## The entire aim of the functions is to calculate inverse of a given
## matrix in a way that eliminates redundancy and hence saves time.
## THE MAKAECACHEMATRIX FUNCTION
## The parent function, makeCacheMatix(),creates and returns a list of
## it's child functions (closures): setMatrx(), getMatrx(),
## setInvas() and getInvas().
## The parent parameters are x, the matrix; and invas, the inverse of
## the matrix x.
## The closures gets and sets x and invas as their names implies.
makeCacheMatrix <- function(x = matrix()) {
invas <- NULL
setMatrx <- function(matrx) {
x <<- matrx
invas <<- NULL
}
getMatrx <- function() x
setInvas <- function(i) invas <<- i
getInvas <- function() invas
list(setMatrx = setMatrx, getMatrx = getMatrx,
setInvas = setInvas, getInvas = getInvas)
}
## THE CACHESOLVE FUNCTION
## The entire aim of this function is to return the inverse of cachedMatrx,
## that of newMatrix or just to return cachedInvas
## cachedMatrx and cachedInvas are matrix and inverse that have been stored
## indirectly in the list x.
## The function first checks if cachedInvas exists, so to simply return it.
## Then if cachedInvas is NULL, the function checks if cachedMatrx exists
## so as to use it to calculate newInvas, set the result as the current inverse
## and then return newInvas.
## Finally, if cachedMatrix is NULL, the function then takes newMatrix,
## calculates its inverse, set the result as the current inverse and returns
## the result.
cacheSolve <- function(x, newMatrx) {
cachedInvas <- x$getInvas()
if(!is.null(cachedInvas)) {
message("...getting cached inverse")
return(cachedInvas)
}
cachedMatrx <- x$getMatrx()
if(!is.null(cachedMatrx)){
message("...getting cached matrix")
newInvas<- solve(cachedMatrx)
x$setInvas(newInvas)
return(newInvas)
}else {
newInvas<- solve(newMatrx)
x$setInvas(newInvas)
return(newInvas)
}
} |
#' @export
SVM_parral <- function(Yvar, variable, k=5,
cost=1, epsilon=0.1, cross=5,
kernel=c("radial", "linear")){
T0 <- Sys.time()
data_test <- variable
data_test$Y <- Yvar
data_test <- data_test[!is.na(data_test$Y),]
### SPLIT DATA INTO K FOLDS ###
df1 <- data_test
df1$fold <- caret::createFolds(1:nrow(data_test), k = k, list = FALSE)
### K-FOLD VALIDATION ###
tc <- e1071::tune.control(nrepeat = 10, sampling = "cross", cross = cross)
mdl <- e1071::tune.svm(Y ~ ., data = data_test, cost = cost, epsilon = epsilon,
kernel = kernel, tune.control = tc)
mdl <- mdl$best.model
CO <- mdl$cost
EPS <- mdl$epsilon
out <- lapply(sort(unique(df1$fold)), FUN = function(x){
deve <- df1[df1$fold != x, ]
test <- df1[df1$fold == x, ]
MODpred <- e1071::svm(Y ~ ., data = deve, scale = T,
cost = CO, epsilon = EPS, decision.values = TRUE,
probability = TRUE)
pred <- predict(MODpred, test, decision.values = TRUE, probability = TRUE)
DON <- data.frame(train = test$Y, pred = pred)
DON$Capt <- rownames(DON) #?
SS <- list(DON)
return(DON)
})
DON <- do.call("rbind", out)
DON$OP <- DON$train - DON$pred
RMSE <- sqrt(mean( (DON$OP ^ 2), na.rm = T))
result <- list(RES = DON, model = mdl, RMSE = RMSE)
### CALCULATE SVM PERFORMANCE ###
bestMod <- result
names(bestMod) <- c("DON", "svm_model", "rmse")
T1 <- Sys.time()
print(T1 - T0)
return(bestMod)
} | /R/SVM_parral.R | no_license | Pintademijote/LETG_pkg | R | false | false | 1,549 | r | #' @export
SVM_parral <- function(Yvar, variable, k=5,
cost=1, epsilon=0.1, cross=5,
kernel=c("radial", "linear")){
T0 <- Sys.time()
data_test <- variable
data_test$Y <- Yvar
data_test <- data_test[!is.na(data_test$Y),]
### SPLIT DATA INTO K FOLDS ###
df1 <- data_test
df1$fold <- caret::createFolds(1:nrow(data_test), k = k, list = FALSE)
### K-FOLD VALIDATION ###
tc <- e1071::tune.control(nrepeat = 10, sampling = "cross", cross = cross)
mdl <- e1071::tune.svm(Y ~ ., data = data_test, cost = cost, epsilon = epsilon,
kernel = kernel, tune.control = tc)
mdl <- mdl$best.model
CO <- mdl$cost
EPS <- mdl$epsilon
out <- lapply(sort(unique(df1$fold)), FUN = function(x){
deve <- df1[df1$fold != x, ]
test <- df1[df1$fold == x, ]
MODpred <- e1071::svm(Y ~ ., data = deve, scale = T,
cost = CO, epsilon = EPS, decision.values = TRUE,
probability = TRUE)
pred <- predict(MODpred, test, decision.values = TRUE, probability = TRUE)
DON <- data.frame(train = test$Y, pred = pred)
DON$Capt <- rownames(DON) #?
SS <- list(DON)
return(DON)
})
DON <- do.call("rbind", out)
DON$OP <- DON$train - DON$pred
RMSE <- sqrt(mean( (DON$OP ^ 2), na.rm = T))
result <- list(RES = DON, model = mdl, RMSE = RMSE)
### CALCULATE SVM PERFORMANCE ###
bestMod <- result
names(bestMod) <- c("DON", "svm_model", "rmse")
T1 <- Sys.time()
print(T1 - T0)
return(bestMod)
} |
\name{swConservativeTemperature}
\alias{swConservativeTemperature}
\title{Seawater conservative temperature, in TEOS-10.}
\description{Compute seawater conservative temperature, according to TEOS-10.}
\usage{swConservativeTemperature(salinity, temperature, pressure)}
\arguments{
\item{salinity}{either salinity (in which case \code{temperature} and
\code{pressure} must be provided) \strong{or} a \code{ctd} object (in
which case \code{salinity}, etc. are determined from the object, and
must not be provided in the argument list).}
\item{temperature}{\emph{in-situ} temperature [\eqn{^\circ}{deg}C]}
\item{pressure}{pressure [dbar]}
}
\details{If the first argument is a \code{ctd} object, then values of salinity,
etc, are extracted from it, and used for the calculation.
The conservative temperature is calculated using the TEOS-10 function
\code{gsw_ct_from_t}.}
\value{Conservative temperature in degrees Celcius.}
\seealso{The related TEOS-10 quantity ``absolute salinity'' may be computed
with \code{\link{swAbsoluteSalinity}}. For a ctd object, conservative
temperature may also be recovered by indexing as e.g.
\code{ctd[["conservativeTemperature"]]} or \code{ctd[["CT"]]}.}
\examples{
\dontrun{
ct <- swConservativeTemperature(35.7, 15, 300)
stopifnot(abs(14.930280459895560 - ct) < 00.000000000000010)
}
}
\references{ [1] McDougall, T.J. and P.M. Barker, 2011: Getting started with
TEOS-10 and the Gibbs Seawater (GSW) Oceanographic Toolbox, 28pp.,
SCOR/IAPSO WG127, ISBN 978-0-646-55621-5.
[2] The TEOS-10 library is provided at \url{www.teos-10.org}.
[3] A programming interface to the matlab version of the TEOS library is
provided at \url{http://www.teos-10.org/pubs/gsw/html/gsw_contents.html}.}
\author{Dan Kelley}
\keyword{misc}
| /man/swConservativeTemperature.Rd | no_license | landsat/oce | R | false | false | 1,838 | rd | \name{swConservativeTemperature}
\alias{swConservativeTemperature}
\title{Seawater conservative temperature, in TEOS-10.}
\description{Compute seawater conservative temperature, according to TEOS-10.}
\usage{swConservativeTemperature(salinity, temperature, pressure)}
\arguments{
\item{salinity}{either salinity (in which case \code{temperature} and
\code{pressure} must be provided) \strong{or} a \code{ctd} object (in
which case \code{salinity}, etc. are determined from the object, and
must not be provided in the argument list).}
\item{temperature}{\emph{in-situ} temperature [\eqn{^\circ}{deg}C]}
\item{pressure}{pressure [dbar]}
}
\details{If the first argument is a \code{ctd} object, then values of salinity,
etc, are extracted from it, and used for the calculation.
The conservative temperature is calculated using the TEOS-10 function
\code{gsw_ct_from_t}.}
\value{Conservative temperature in degrees Celcius.}
\seealso{The related TEOS-10 quantity ``absolute salinity'' may be computed
with \code{\link{swAbsoluteSalinity}}. For a ctd object, conservative
temperature may also be recovered by indexing as e.g.
\code{ctd[["conservativeTemperature"]]} or \code{ctd[["CT"]]}.}
\examples{
\dontrun{
ct <- swConservativeTemperature(35.7, 15, 300)
stopifnot(abs(14.930280459895560 - ct) < 00.000000000000010)
}
}
\references{ [1] McDougall, T.J. and P.M. Barker, 2011: Getting started with
TEOS-10 and the Gibbs Seawater (GSW) Oceanographic Toolbox, 28pp.,
SCOR/IAPSO WG127, ISBN 978-0-646-55621-5.
[2] The TEOS-10 library is provided at \url{www.teos-10.org}.
[3] A programming interface to the matlab version of the TEOS library is
provided at \url{http://www.teos-10.org/pubs/gsw/html/gsw_contents.html}.}
\author{Dan Kelley}
\keyword{misc}
|
#'@title fit epsilon from block of ADV data
#'@description
#'solves for epsilon from ADV data in the inertial subrange assuming Zappa et al. 2003 \cr
#'
#'@details a \code{GDopp} function for splitting sensor data into temporal segments.\cr
#'
#'@references
#'Zappa, Christopher J., Peter A. Raymond, Eugene A. Terray, and Wade R. McGillis.
#'"Variation in surface turbulence and the gas transfer velocity over a tidal cycle in a macro-tidal estuary."
#'Estuaries 26, no. 6 (2003): 1401-1415.
#'
#'@param chunk.adv a data.frame created with load.ADV, with the window.idx column
#'@param freq a numeric, in Hz, that represents the input data
#'@param lower a numeric, in Hz, that represents the lower bounds for range of epsilon calculation
#'@param upper a numeric, in Hz, that represents the upper bounds for range of epsilon calculation
#'@param diagnostic a boolean for diagnostic plot
#'@return a single value of epsilon estimating from the temporal block given.
#'@keywords methods, math
#'@import oce
#'@examples
#'\dontrun{
#'folder.nm <- system.file('extdata', package = 'GDopp')
#'file.nm <- "ALQ102.dat"
#'data.adv <- load_adv(file.nm=file.nm, folder.nm =folder.nm)
#'window.adv <- window_adv(data.adv,freq=32,window.mins=10)
#'fit_epsilon(window.adv[window.adv$window.idx==7, ],freq=32)
#'fit_epsilon(window.adv[window.adv$window.idx==7, ],freq=32, diagnostic = TRUE)
#'}
#'@export
#'
fit_epsilon <- function(chunk.adv,freq=32, lower= 20,upper=80,diagnostic = FALSE){
if ('velocity.X' %in% names(chunk.adv)){
xts <- ts(chunk.adv$velocity.X, frequency=freq)
} else {
xts <- ts(chunk.adv$Up, frequency=freq)
}
w <- pwelch(xts, plot=FALSE)
wavenum.spectra <- w$spec
v.mn <- velocity_calc(chunk.adv)
wavenum <- 2*pi*w$freq/v.mn # in radians/m
lower.k = lower/v.mn
upper.k = upper/v.mn
use.i <- lower.k <= wavenum & wavenum <= upper.k
pulse.averaging <- function(w.s,freq,del.t=1/32){
denom <- (sin(pi*freq*del.t)/(pi*freq*del.t))^2
pc.w = w.s/denom
return(pc.w)
}
eps <- function (w.s, k){
in.bracket <- w.s*(k^(5/3))
averaging <- in.bracket^(3/2)
epsilon <- 1.04*mean(averaging)
return(epsilon)
}
w.s <- pulse.averaging(wavenum.spectra,w$freq,del.t=1/freq)
epsilon <- eps(w.s[use.i], k = wavenum[use.i])
if (diagnostic){
plot(wavenum,wavenum.spectra,log='xy')
points(wavenum,w.s,col='red',cex=.2)
abline(v=lower.k)
abline(v=upper.k)
lines(wavenum,0.52*(epsilon^(2/3))*wavenum^(-5/3),col='green')
}
return(epsilon)
}
rmse <- function(actual,predicted){
rmse <- sqrt(sum((actual-predicted)^2)/length(actual))
return(rmse)
} | /R/fit_epsilon.R | permissive | govtmirror/GDopp | R | false | false | 2,695 | r | #'@title fit epsilon from block of ADV data
#'@description
#'solves for epsilon from ADV data in the inertial subrange assuming Zappa et al. 2003 \cr
#'
#'@details a \code{GDopp} function for splitting sensor data into temporal segments.\cr
#'
#'@references
#'Zappa, Christopher J., Peter A. Raymond, Eugene A. Terray, and Wade R. McGillis.
#'"Variation in surface turbulence and the gas transfer velocity over a tidal cycle in a macro-tidal estuary."
#'Estuaries 26, no. 6 (2003): 1401-1415.
#'
#'@param chunk.adv a data.frame created with load.ADV, with the window.idx column
#'@param freq a numeric, in Hz, that represents the input data
#'@param lower a numeric, in Hz, that represents the lower bounds for range of epsilon calculation
#'@param upper a numeric, in Hz, that represents the upper bounds for range of epsilon calculation
#'@param diagnostic a boolean for diagnostic plot
#'@return a single value of epsilon estimating from the temporal block given.
#'@keywords methods, math
#'@import oce
#'@examples
#'\dontrun{
#'folder.nm <- system.file('extdata', package = 'GDopp')
#'file.nm <- "ALQ102.dat"
#'data.adv <- load_adv(file.nm=file.nm, folder.nm =folder.nm)
#'window.adv <- window_adv(data.adv,freq=32,window.mins=10)
#'fit_epsilon(window.adv[window.adv$window.idx==7, ],freq=32)
#'fit_epsilon(window.adv[window.adv$window.idx==7, ],freq=32, diagnostic = TRUE)
#'}
#'@export
#'
fit_epsilon <- function(chunk.adv,freq=32, lower= 20,upper=80,diagnostic = FALSE){
if ('velocity.X' %in% names(chunk.adv)){
xts <- ts(chunk.adv$velocity.X, frequency=freq)
} else {
xts <- ts(chunk.adv$Up, frequency=freq)
}
w <- pwelch(xts, plot=FALSE)
wavenum.spectra <- w$spec
v.mn <- velocity_calc(chunk.adv)
wavenum <- 2*pi*w$freq/v.mn # in radians/m
lower.k = lower/v.mn
upper.k = upper/v.mn
use.i <- lower.k <= wavenum & wavenum <= upper.k
pulse.averaging <- function(w.s,freq,del.t=1/32){
denom <- (sin(pi*freq*del.t)/(pi*freq*del.t))^2
pc.w = w.s/denom
return(pc.w)
}
eps <- function (w.s, k){
in.bracket <- w.s*(k^(5/3))
averaging <- in.bracket^(3/2)
epsilon <- 1.04*mean(averaging)
return(epsilon)
}
w.s <- pulse.averaging(wavenum.spectra,w$freq,del.t=1/freq)
epsilon <- eps(w.s[use.i], k = wavenum[use.i])
if (diagnostic){
plot(wavenum,wavenum.spectra,log='xy')
points(wavenum,w.s,col='red',cex=.2)
abline(v=lower.k)
abline(v=upper.k)
lines(wavenum,0.52*(epsilon^(2/3))*wavenum^(-5/3),col='green')
}
return(epsilon)
}
rmse <- function(actual,predicted){
rmse <- sqrt(sum((actual-predicted)^2)/length(actual))
return(rmse)
} |
install.packages("kernlab")
library("kernlab")
install.packages("ggplot2")
library("ggplot2")
install.packages("e1071")
library("e1071")
install.packages("gridExtra")
library(gridExtra)
airquality
aq = airquality # Reading the data
str(aq)
# Removing all the NAs and Replacing by mean:
for(i in 1:ncol(aq)){
aq[is.na(aq[,i]), i] <- mean(aq[,i], na.rm = TRUE)
}
randIndex <- sample(1:dim(aq)[1])
cutPoint2_3 <-floor(2*dim(aq)[1]/3)
trainData <- aq[randIndex[1:cutPoint2_3],]
testData <- aq[randIndex[(cutPoint2_3+1):dim(aq)[1]],]
head(trainData)
head(testData)
str(trainData)
str(testData)
#require(e1071)
#model.svm <- svm(Ozone ~ Solar.R , data=aq)
#predictY(model.svm, df)
# KSVM
model.ksvm <- ksvm(Ozone ~., data=trainData)
predict1 <- predict(model.ksvm, testData)
predict(model.ksvm,testData)
summary(predict1)
error <- testData$Ozone - predict1
sqrt(mean(error^2))
# Scatter Plot:
g1 = ggplot(data = testData, aes(x=Temp,y=Wind)) + geom_point(aes(size=error, col = error))
# SVM
model.svm = svm(Ozone ~ ., data = trainData)
predict2 <- predict(model.svm, testData)
summary(predict2)
error2 <- testData$Ozone - predict2
sqrt(mean(error2^2))
# Scatter Plot:
g2 = ggplot(data = testData, aes(x=Temp,y=Wind)) + geom_point(aes(size=error2, col = error2))
# Linear Model:
model.lm = lm(Ozone ~ ., data = trainData)
predict3 <- predict(model.lm, testData)
summary(predict3)
error3 = testData$Ozone - predict3
sqrt(mean(error3^2))
# Scatter Plot:
g3 = ggplot(data = testData, aes(x=Temp,y=Wind)) + geom_point(aes(size=error3, col = error3))
grid.arrange(g1,g2,g3)
meanOzone = mean(aq$Ozone)
meanOzone
aq[2,1]
for ( i in 1:length(aq$Ozone))
{
if( aq[i,1] < meanOzone )
{
aq[i,7] = '0'
}
else
{
aq[i,7] = '1'
}
}
str(aq)
newaq = aq
randIndex <- sample(1:dim(newaq)[1])
cutPoint2_3 <-floor(2*dim(newaq)[1]/3)
trainData2 <- newaq[randIndex[1:cutPoint2_3],]
testData2 <- newaq[randIndex[(cutPoint2_3+1):dim(newaq)[1]],]
head(trainData2)
head(testData2)
str(trainData2)
str(testData2)
# KSVM
str(trainData2)
model.ksvm2 <- ksvm(V7 ~ .,trainData2)
predict1_2 <- predict(model.ksvm2, testData2)
predict(model.ksvm2,testData2)
summary(predict1_2)
str(predict1_2)
error_1 <- as.numeric(testData2$V7) - as.numeric(predict1_2)
sqrt(mean(error_1^2))
#predict1_2 = as.character(predict1_2)
#Accuracy
results <- table(predict1_2, testData2$V7)
print(results)
percentCorrect <- (results[1,1]+results[2,2])/(results[1,1]+results[1,2]+results[2,1]+results[2,2])*100
percentCorrect
str(testData2)
# Scatter Plot:
g_1 = ggplot(data = testData2, aes(x=Temp,y=Wind)) + geom_point(aes(size=error_1,shape = predict1_2, col = testData2$V7))
# SVM
model.svm2 <- svm(V7 ~ ., trainData2, type = "C-classification")
predict1_3 <- predict(model.svm2, testData2)
summary(predict1_3)
error_2 <- as.numeric(testData2$V7) - as.numeric(predict1_3)
sqrt(mean(error_2^2))
#Accuracy
str(predict1_3)
results2 <- table(predict1_3, testData2$V7)
print(results2)
percentCorrect2 <- (results[1,1]+results[2,2])/(results[1,1]+results[1,2]+results[2,1]+results[2,2])*100
percentCorrect2
# Scatter Plot:
g_2 = ggplot(data = testData2, aes(x=Temp,y=Wind)) + geom_point(aes(size=error_2,shape = predict1_3, col = testData2$V7))
# Naive Bayes
model.nb <- naiveBayes(as.factor(V7) ~ ., trainData2)
predict1_4 <- predict(model.nb, testData2)
str(predict1_4)
summary(predict1_4)
error_3 <- as.numeric(testData2$V7) - as.numeric(predict1_4)
sqrt(mean(error_3^2))
#Accuracy
results3 <- table(predict1_4, testData2$V7)
print(results3)
percentCorrect3 <- (results[1,1]+results[2,2])/(results[1,1]+results[1,2]+results[2,1]+results[2,2])*100
percentCorrect3
# Scatter Plot:
g_3 = ggplot(data = testData2, aes(x=Temp,y=Wind)) + geom_point(aes(size=error_3,shape = predict1_4, col = testData2$V7))
grid.arrange(g_1,g_2,g_3)
# Naive Bayes is the best model according to me followed by KSVM and then SVM.
# Because Naive Bayes gives the least error rate among the three algorithms in this case
# Different Models may suite different needs
| /4.7/LAB_SVM.R | no_license | shrutikk7/Applied-Data-Science-IST687 | R | false | false | 4,081 | r | install.packages("kernlab")
library("kernlab")
install.packages("ggplot2")
library("ggplot2")
install.packages("e1071")
library("e1071")
install.packages("gridExtra")
library(gridExtra)
airquality
aq = airquality # Reading the data
str(aq)
# Removing all the NAs and Replacing by mean:
for(i in 1:ncol(aq)){
aq[is.na(aq[,i]), i] <- mean(aq[,i], na.rm = TRUE)
}
randIndex <- sample(1:dim(aq)[1])
cutPoint2_3 <-floor(2*dim(aq)[1]/3)
trainData <- aq[randIndex[1:cutPoint2_3],]
testData <- aq[randIndex[(cutPoint2_3+1):dim(aq)[1]],]
head(trainData)
head(testData)
str(trainData)
str(testData)
#require(e1071)
#model.svm <- svm(Ozone ~ Solar.R , data=aq)
#predictY(model.svm, df)
# KSVM
model.ksvm <- ksvm(Ozone ~., data=trainData)
predict1 <- predict(model.ksvm, testData)
predict(model.ksvm,testData)
summary(predict1)
error <- testData$Ozone - predict1
sqrt(mean(error^2))
# Scatter Plot:
g1 = ggplot(data = testData, aes(x=Temp,y=Wind)) + geom_point(aes(size=error, col = error))
# SVM
model.svm = svm(Ozone ~ ., data = trainData)
predict2 <- predict(model.svm, testData)
summary(predict2)
error2 <- testData$Ozone - predict2
sqrt(mean(error2^2))
# Scatter Plot:
g2 = ggplot(data = testData, aes(x=Temp,y=Wind)) + geom_point(aes(size=error2, col = error2))
# Linear Model:
model.lm = lm(Ozone ~ ., data = trainData)
predict3 <- predict(model.lm, testData)
summary(predict3)
error3 = testData$Ozone - predict3
sqrt(mean(error3^2))
# Scatter Plot:
g3 = ggplot(data = testData, aes(x=Temp,y=Wind)) + geom_point(aes(size=error3, col = error3))
grid.arrange(g1,g2,g3)
meanOzone = mean(aq$Ozone)
meanOzone
aq[2,1]
for ( i in 1:length(aq$Ozone))
{
if( aq[i,1] < meanOzone )
{
aq[i,7] = '0'
}
else
{
aq[i,7] = '1'
}
}
str(aq)
newaq = aq
randIndex <- sample(1:dim(newaq)[1])
cutPoint2_3 <-floor(2*dim(newaq)[1]/3)
trainData2 <- newaq[randIndex[1:cutPoint2_3],]
testData2 <- newaq[randIndex[(cutPoint2_3+1):dim(newaq)[1]],]
head(trainData2)
head(testData2)
str(trainData2)
str(testData2)
# KSVM
str(trainData2)
model.ksvm2 <- ksvm(V7 ~ .,trainData2)
predict1_2 <- predict(model.ksvm2, testData2)
predict(model.ksvm2,testData2)
summary(predict1_2)
str(predict1_2)
error_1 <- as.numeric(testData2$V7) - as.numeric(predict1_2)
sqrt(mean(error_1^2))
#predict1_2 = as.character(predict1_2)
#Accuracy
results <- table(predict1_2, testData2$V7)
print(results)
percentCorrect <- (results[1,1]+results[2,2])/(results[1,1]+results[1,2]+results[2,1]+results[2,2])*100
percentCorrect
str(testData2)
# Scatter Plot:
g_1 = ggplot(data = testData2, aes(x=Temp,y=Wind)) + geom_point(aes(size=error_1,shape = predict1_2, col = testData2$V7))
# SVM
model.svm2 <- svm(V7 ~ ., trainData2, type = "C-classification")
predict1_3 <- predict(model.svm2, testData2)
summary(predict1_3)
error_2 <- as.numeric(testData2$V7) - as.numeric(predict1_3)
sqrt(mean(error_2^2))
#Accuracy
str(predict1_3)
results2 <- table(predict1_3, testData2$V7)
print(results2)
percentCorrect2 <- (results[1,1]+results[2,2])/(results[1,1]+results[1,2]+results[2,1]+results[2,2])*100
percentCorrect2
# Scatter Plot:
g_2 = ggplot(data = testData2, aes(x=Temp,y=Wind)) + geom_point(aes(size=error_2,shape = predict1_3, col = testData2$V7))
# Naive Bayes
model.nb <- naiveBayes(as.factor(V7) ~ ., trainData2)
predict1_4 <- predict(model.nb, testData2)
str(predict1_4)
summary(predict1_4)
error_3 <- as.numeric(testData2$V7) - as.numeric(predict1_4)
sqrt(mean(error_3^2))
#Accuracy
results3 <- table(predict1_4, testData2$V7)
print(results3)
percentCorrect3 <- (results[1,1]+results[2,2])/(results[1,1]+results[1,2]+results[2,1]+results[2,2])*100
percentCorrect3
# Scatter Plot:
g_3 = ggplot(data = testData2, aes(x=Temp,y=Wind)) + geom_point(aes(size=error_3,shape = predict1_4, col = testData2$V7))
grid.arrange(g_1,g_2,g_3)
# Naive Bayes is the best model according to me followed by KSVM and then SVM.
# Because Naive Bayes gives the least error rate among the three algorithms in this case
# Different Models may suite different needs
|
#' Retrieve the taxonomic hierarchy for a given taxon ID.
#'
#' @export
#' @param x Vector of taxa names (character) or IDs (character or numeric)
#' to query.
#' @param db character; database to query. either `ncbi`, `itis`, `eol`, `col`,
#' `tropicos`, `gbif`, `nbn`, `worms`, `natserv`, `bold`, `wiki`, or `pow`.
#' Note that each taxonomic data source has, their own identifiers, so that
#' if you provide the wrong `db` value for the identifier you could get a
#' result, but it will likely be wrong (not what you were expecting). If using
#' ncbi, eol, and/or tropicos, we recommend getting an API key; see
#' [taxize-authentication]
#' @param id character; identifiers, returned by [get_tsn()], [get_uid()],
#' [get_eolid()], [get_colid()], [get_tpsid()], [get_gbifid()], [get_tolid()],
#' [get_wormsid()], [get_natservid()], [get_wormsid()], [get_wiki()],
#' [get_pow()]
#' @param callopts Curl options passed on to [crul::verb-GET]
#' @param ... For `classification`: other arguments passed to [get_tsn()],
#' [get_uid()], [get_eolid()], [get_colid()], [get_tpsid()], [get_gbifid()],
#' [get_wormsid()], [get_natservid()], [get_wormsid()], [get_wiki()],
#' [get_pow()]. For `rbind.classification` and `cbind.classification`: one or
#' more objects of class `classification`
#'
#' @param start The first record to return. If omitted, the results are
#' returned from the first record (start=0). This is useful if the total
#' number of results is larger than the maximum number of results returned by
#' a single Web service query (currently the maximum number of results returned
#' by a single query is 500 for terse queries and 50 for full queries).
#' @param checklist character; The year of the checklist to query, if you want
#' a specific year's checklist instead of the lastest as default (numeric).
#' @param return_id (logical) If `TRUE` (default), return the taxon id
#' as well as the name and rank of taxa in the lineage returned.
#' Ignored for natserv as they don't return IDs in their taxonomic
#' classification data.
#' @param rows (numeric) Any number from 1 to infinity. If the default NA,
#' all rows are considered. Note that this parameter is ignored if you pass
#' in a taxonomic id instead of a name of class character.
#'
#' @return A named list of data.frames with the taxonomic classification of
#' every supplied taxa.
#' @details If IDs are supplied directly (not from the `get_*` functions)
#' you must specify the type of ID. There is a timeout of 1/3 seconds between
#' queries to NCBI.
#'
#' BEWARE: Right now, NBN doesn't return the queried taxon in the
#' classification. But you can attach it yourself quite easily of course.
#' This behavior is different from the other data sources.
#'
#' @seealso [get_tsn()], [get_uid()], [get_eolid()], [get_colid()],
#' [get_tpsid()], [get_gbifid()], [get_wormsid()], [get_natservid()],
#' [get_boldid()], [get_wiki()], [get_pow()]
#'
#' @section Lots of results:
#' It may happen sometimes that you get more results back from your query
#' than will show in the data.frame on screen. Our advice is to refine your
#' query in those cases. On a data source basis we can attempt to help
#' make it easier to refine queries, whether it be with the data provider
#' (unlikely to happen), or in the code in this package (more likely) -
#' let us know if you run into too many results problem and we'll see what
#' we can do.
#'
#' @section Authentication:
#' See [taxize-authentication]
#'
#' @examples \dontrun{
#' # Plug in taxon IDs
#' classification(9606, db = 'ncbi')
#' classification(c(9606, 55062), db = 'ncbi')
#' classification(129313, db = 'itis')
#' classification(6985636, db = 'eol')
#' classification(126436, db = 'worms')
#' classification('Helianthus annuus', db = 'pow')
#' classification('Helianthus', db = 'pow')
#' classification('Asteraceae', db = 'pow')
#' classification("ELEMENT_GLOBAL.2.134717", db = 'natserv')
#' classification(c(2704179, 2441176), db = 'gbif')
#' classification(25509881, db = 'tropicos')
#' classification("NBNSYS0000004786", db = 'nbn')
#' classification(as.nbnid("NBNSYS0000004786"), db = 'nbn')
#' classification(3930798, db = 'tol')
#'
#' ## works the same if IDs are in class character
#' classification(c("2704179", "2441176"), db = 'gbif')
#' classification("Agapostemon", db = "bold")
#'
#' # wikispecies
#' classification("Malus domestica", db = "wiki")
#' classification("Pinus contorta", db = "wiki")
#' classification("Pinus contorta", db = "wiki", wiki_site = "commons")
#' classification("Pinus contorta", db = "wiki", wiki_site = "pedia")
#' classification("Pinus contorta", db = "wiki", wiki_site = "pedia",
#' wiki = "fr")
#'
#' classification(get_wiki("Malus domestica", "commons"))
#' classification(get_wiki("Malus domestica", "species"))
#' classification(c("Pinus contorta", "Malus domestica"), db = "wiki")
#'
#' # Plug in taxon names
#' ## in this case, we use get_*() fxns internally to first get taxon IDs
#' classification("Oncorhynchus mykiss", db = "eol")
#' classification(c("Chironomus riparius", "aaa vva"), db = 'ncbi')
#' classification(c("Chironomus riparius", "aaa vva"), db = 'ncbi',
#' messages=FALSE)
#' classification(c("Chironomus riparius", "aaa vva"), db = 'itis')
#' classification(c("Chironomus riparius", "aaa vva"), db = 'itis',
#' messages=FALSE)
#' classification(c("Chironomus riparius", "aaa vva"), db = 'eol')
#' classification(c("Chironomus riparius", "aaa vva"), db = 'col')
#' classification("Alopias vulpinus", db = 'nbn')
#' classification('Gadus morhua', db = 'worms')
#' classification('Aquila chrysaetos', db = 'natserv')
#' classification('Gadus morhua', db = 'natserv')
#' classification('Pomatomus saltatrix', db = 'natserv')
#' classification('Aquila chrysaetos', db = 'natserv')
#' classification(c("Chironomus riparius", "aaa vva"), db = 'col',
#' messages=FALSE)
#' classification(c("Chironomus riparius", "asdfasdfsfdfsd"), db = 'gbif')
#' classification("Chironomus", db = 'tol')
#' classification("Poa annua", db = 'tropicos')
#'
#' # Use methods for get_uid, get_tsn, get_eolid, get_colid, get_tpsid
#' classification(get_uid(c("Chironomus riparius", "Puma concolor")))
#'
#' classification(get_uid(c("Chironomus riparius", "aaa vva")))
#' classification(get_tsn(c("Chironomus riparius", "aaa vva")))
#' classification(get_tsn(c("Chironomus riparius", "aaa vva"),
#' messages = FALSE))
#' classification(get_eolid(c("Chironomus riparius", "aaa vva")))
#' classification(get_colid(c("Chironomus riparius", "aaa vva")))
#' classification(get_tpsid(c("Poa annua", "aaa vva")))
#' classification(get_gbifid(c("Poa annua", "Bison bison")))
#'
#' # Pass many ids from class "ids"
#' (out <- get_ids(names="Puma concolor", db = c('ncbi','gbif')))
#' (cl <- classification(out))
#'
#' # Bind width-wise from class classification_ids
#' cbind(cl)
#'
#' # Bind length-wise
#' rbind(cl)
#'
#' # Many names to get_ids
#' (out <- get_ids(names=c("Puma concolor","Accipiter striatus"),
#' db = c('ncbi','itis','col')))
#' (cl <- classification(out))
#' rbind(cl)
#' ## cbind with so many names results in some messy data
#' cbind(cl)
#' ## so you can turn off return_id
#' cbind( classification(out, return_id=FALSE) )
#'
#' # rbind and cbind on class classification (from a
#' # call to get_colid, get_tsn, etc. other than get_ids)
#' (cl_col <- classification(
#' get_colid(c("Puma concolor","Accipiter striatus"))))
#' rbind(cl_col)
#' cbind(cl_col)
#'
#' (cl_uid <- classification(get_uid(c("Puma concolor",
#' "Accipiter striatus")), return_id=FALSE))
#' rbind(cl_uid)
#' cbind(cl_uid)
#' ## cbind works a bit odd when there are lots of ranks without names
#' (cl_uid <- classification(get_uid(c("Puma concolor","Accipiter striatus")),
#' return_id=TRUE))
#' cbind(cl_uid)
#'
#' (cl_tsn <- classification(get_tsn(c("Puma concolor","Accipiter striatus"))))
#' rbind(cl_tsn)
#' cbind(cl_tsn)
#'
#' (tsns <- get_tsn(c("Puma concolor","Accipiter striatus")))
#' (cl_tsns <- classification(tsns))
#' cbind(cl_tsns)
#'
#' # NBN data
#' (res <- classification(c("Alopias vulpinus","Pinus sylvestris"),
#' db = 'nbn'))
#' rbind(res)
#' cbind(res)
#'
#' # Return taxonomic IDs
#' ## the return_id parameter is logical, and you can turn it on or off.
#' ## It's TRUE by default
#' classification(c("Alopias vulpinus","Pinus sylvestris"), db = 'ncbi',
#' return_id = TRUE)
#' classification(c("Alopias vulpinus","Pinus sylvestris"), db = 'ncbi',
#' return_id = FALSE)
#'
#' # Use rows parameter to select certain
#' classification('Poa annua', db = 'tropicos')
#' classification('Poa annua', db = 'tropicos', rows=1:4)
#' classification('Poa annua', db = 'tropicos', rows=1)
#' classification('Poa annua', db = 'tropicos', rows=6)
#' }
#'
#' @examples \dontrun{
#' # Fails without db param set
#' # classification(315576)
#' }
classification <- function(...){
UseMethod("classification")
}
#' @export
#' @rdname classification
classification.default <- function(x, db = NULL, callopts = list(),
return_id = TRUE, rows = NA, ...) {
nstop(db)
switch(
db,
itis = {
id <- process_ids(x, db, get_tsn, rows = rows, ...)
stats::setNames(classification(id, return_id = return_id, ...), x)
},
ncbi = {
id <- process_ids(x, db, get_uid, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
eol = {
id <- process_ids(x, db, get_eolid, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
col = {
id <- process_ids(x, db, get_colid, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
tropicos = {
id <- process_ids(x, db, get_tpsid, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
gbif = {
id <- process_ids(x, db, get_gbifid, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
nbn = {
id <- process_ids(x, db, get_nbnid, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
tol = {
id <- process_ids(x, db, get_tolid, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
worms = {
id <- process_ids(x, db, get_wormsid, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
natserv = {
id <- process_ids(x, db, get_natservid, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
bold = {
id <- process_ids(x, db, get_boldid, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
wiki = {
id <- process_ids(x, db, get_wiki, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
pow = {
id <- process_ids(x, db, get_pow, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts, return_id = return_id, ...), x)
},
stop("the provided db value was not recognised", call. = FALSE)
)
}
process_ids <- function(input, db, fxn, ...){
g <- tryCatch(as.numeric(as.character(input)), warning = function(e) e)
if (
inherits(g, "numeric") || # all others
is.character(input) && all(grepl("N[HB]", input)) || # NBN
is.character(input) && all(grepl("ELEMENT_GLOBAL", input)) || # Natserv
is.character(input) && all(grepl("urn:lsid", input)) # POW
) {
as_fxn <- switch(db,
itis = as.tsn,
ncbi = as.uid,
eol = as.eolid,
col = as.colid,
tropicos = as.tpsid,
gbif = as.gbifid,
nbn = as.nbnid,
tol = as.tolid,
worms = as.wormsid,
natserv = as.natservid,
bold = as.boldid,
wiki = as.wiki,
pow = as.pow)
as_fxn(input, check = FALSE)
} else {
eval(fxn)(input, ...)
}
}
#' @export
#' @rdname classification
classification.tsn <- function(id, return_id = TRUE, ...) {
fun <- function(x) {
# return NA if NA is supplied
if (is.na(x)) {
out <- NA
} else {
out <- ritis::hierarchy_full(as.character(x), wt = "json", raw = FALSE)
if (NROW(out) < 1) return(NA)
# make normal data.frame
out <- data.frame(out, stringsAsFactors = FALSE)
# remove overhang
out <- out[1:which(out$tsn == x), c('taxonname', 'rankname', 'tsn')]
names(out) <- c('name', 'rank', 'id')
# Optionally return tsn of lineage
if (!return_id) out <- out[, c('name', 'rank')]
out$rank <- tolower(out$rank)
}
return(out)
}
out <- lapply(id, fun)
names(out) <- id
structure(out, class = 'classification', db = 'itis')
}
#' @export
#' @rdname classification
classification.uid <- function(id, callopts = list(), return_id = TRUE, ...) {
fun <- function(x, callopts){
key <- getkey(NULL, service="entrez")
# return NA if NA is supplied
if (is.na(x)) {
out <- NA
} else {
query <- tc(list(db = "taxonomy", ID = x, api_key = key))
cli <- crul::HttpClient$new(url = ncbi_base(), opts = callopts)
res <- cli$get("entrez/eutils/efetch.fcgi", query = query)
res$raise_for_status()
tt <- res$parse("UTF-8")
ttp <- xml2::read_xml(tt)
out <- data.frame(
name = xml_text_all(ttp,
"//TaxaSet/Taxon/LineageEx/Taxon/ScientificName"),
rank = xml_text_all(ttp, "//TaxaSet/Taxon/LineageEx/Taxon/Rank"),
id = xml_text_all(ttp, "//TaxaSet/Taxon/LineageEx/Taxon/TaxId"),
stringsAsFactors = FALSE)
parent_id <- xml_text_all(ttp, "//TaxaSet/Taxon/ParentTaxId") %||% ""
# Is not directly below root and no lineage info
if (NROW(out) == 0 && parent_id != "1") {
out <- NA
} else {
out <- rbind(out,
data.frame(
name = xml_text_all(ttp, "//TaxaSet/Taxon/ScientificName"),
rank = xml_text_all(ttp, "//TaxaSet/Taxon/Rank"),
id = xml_text_all(ttp, "//TaxaSet/Taxon/TaxId"),
stringsAsFactors = FALSE))
# Optionally return tsn of lineage
if (!return_id) out <- out[, c('name', 'rank')]
out$rank <- tolower(out$rank)
return(out)
}
}
# NCBI limits requests to three per second
if (is.null(key)) Sys.sleep(0.34)
return(out)
}
out <- lapply(id, fun, callopts = callopts)
names(out) <- id
structure(out, class = 'classification', db = 'ncbi')
}
#' @export
#' @rdname classification
classification.eolid <- function(id, callopts = list(), return_id = TRUE, ...) {
common_names = synonyms = NULL
fun <- function(x){
if (is.na(x)) {
out <- NA
} else {
key <- getkey(NULL, "EOL_KEY")
args <- tc(list(common_names = common_names, synonyms = synonyms))
cli <- crul::HttpClient$new(url = 'https://eol.org', opts = callopts)
tt <- cli$get(file.path('api/hierarchy_entries/1.0', paste0(x, ".json")),
query = args)
tt$raise_for_status()
res <- jsonlite::fromJSON(tt$parse("UTF-8"), FALSE)
if (length(res$ancestors) == 0) {
return(sprintf("No hierarchy information for %s", x))
} else {
fff <- lapply(res$ancestors, function(z) {
z[sapply(z, is.null)] <- NA_character_
data.frame(z, stringsAsFactors = FALSE)
})
out <- do.call(rbind.fill, fff)[,c('scientificName',
'taxonRank', 'taxonID')]
# add querried taxon
tr <- res$taxonRank
out <- rbind(out,
c(res$scientificName, if ( is.null(tr) ) NA else tr, x))
names(out) <- c('name', 'rank', 'id')
# Optionally return id of lineage
if (!return_id) out <- out[, c('name', 'rank')]
out$rank <- tolower(out$rank)
return(out)
}
}
}
out <- lapply(id, fun)
names(out) <- id
structure(out, class = 'classification', db = 'eol')
}
#' @export
#' @rdname classification
classification.colid <- function(id, start = NULL, checklist = NULL,
callopts = list(), return_id = TRUE, ...) {
fun <- function(x, checklist, start, callopts){
# return NA if NA is supplied
if (is.na(x)) {
out <- NA
} else {
url <- make_url(checklist)
args <- tc(list(id = x, response = "full", start = start))
out <- tax_GET(url, query = args, opts = callopts)
tt <- xml2::read_xml(out$parse("UTF-8"))
out <- search_col_classification_df(tt)
# add query-ied taxon
out <- rbind(out, c(
xml2::xml_text(xml2::xml_find_first(tt, "//result/name")),
xml2::xml_text(xml2::xml_find_first(tt, "//result/rank")),
xml2::xml_text(xml2::xml_find_first(tt, "//result/id"))))
# Optionally return id of lineage
if (!return_id) out <- out[, c('name', 'rank')]
out$rank <- tolower(out$rank)
}
return(out)
}
out <- lapply(id, fun, checklist = checklist, start = start,
callopts = callopts)
names(out) <- id
structure(out, class = 'classification', db = 'col')
}
search_col_classification_df <- function(x) {
name <- xml2::xml_text(xml2::xml_find_all(x, "//classification//name"))
rank <- xml2::xml_text(xml2::xml_find_all(x, "//classification//rank"))
id <- xml2::xml_text(xml2::xml_find_all(x, "//classification//id"))
if (any(grepl("species", rank, ignore.case = TRUE))) {
name[which(rank %in% "Species")] <- paste(name[which(rank %in% "Genus")],
name[which(rank %in% "Species")], collapse = " ")
}
data.frame(name, rank, id, stringsAsFactors = FALSE)
}
#' @export
#' @rdname classification
classification.tpsid <- function(id, callopts = list(), return_id = TRUE, ...) {
fun <- function(x, callopts){
if (is.na(x)) {
out <- NA
} else {
url <- sprintf('http://services.tropicos.org/Name/%s/HigherTaxa', x)
key <- getkey(NULL, "TROPICOS_KEY")
args <- tc(list(format = 'json', apikey = key))
tt <- tax_GET(url, query = args, opts = callopts)
out <- jsonlite::fromJSON(tt$parse("UTF-8"), FALSE)
if (names(out[[1]])[[1]] == "Error") {
out <- data.frame(ScientificName = NA, Rank = NA)
} else {
out <- do.call(rbind.fill,
lapply(out, data.frame))[,c('ScientificName','Rank', 'NameId')]
}
names(out) <- c('name', 'rank', 'id')
# Optionally return id of lineage
if (!return_id) out <- out[, c('name', 'rank')]
out$rank <- tolower(out$rank)
}
return(out)
}
out <- lapply(id, fun, callopts = callopts)
names(out) <- id
structure(out, class = 'classification', db = 'tropicos')
}
#' @export
#' @rdname classification
classification.gbifid <- function(id, callopts = list(),
return_id = TRUE, ...) {
fun <- function(x, callopts){
if (is.na(x)) {
out <- NA
} else {
out <- suppressWarnings(tryCatch(
gbif_name_usage(key = x, callopts = callopts),
error = function(e) e))
if (is(out, "simpleError")) {
NA
} else {
nms <- ldply(out[c('kingdom','phylum','class',
'order','family','genus','species')])
keys <- unname(unlist(out[paste0(c('kingdom','phylum','class',
'order','family','genus','species'), "Key")]))
df <- data.frame(name = nms$V1, rank = nms$.id, id = keys,
stringsAsFactors = FALSE)
df$rank <- tolower(df$rank)
# Optionally return id of lineage
if (!return_id) df[, c('name', 'rank')] else df
}
}
}
out <- lapply(id, fun, callopts = callopts)
names(out) <- id
structure(out, class = 'classification', db = 'gbif')
}
#' @export
#' @rdname classification
classification.nbnid <- function(id, callopts = list(),
return_id = TRUE, ...) {
fun <- function(x, callopts){
if (is.na(x)) {
out <- NA
} else {
out <- suppressWarnings(tryCatch(nbn_classification(id = x, callopts),
error = function(e) e))
if (inherits(out, "simpleError")) {
NA
} else {
out <- out[ , c('scientificname', 'rank', 'guid')]
names(out) <- c('name', 'rank', 'id')
# Optionally return id of lineage
if (!return_id) out <- out[, c('name', 'rank')]
out$rank <- tolower(out$rank)
return(out)
}
}
}
out <- lapply(id, fun, callopts = callopts)
names(out) <- id
structure(out, class = 'classification', db = 'nbn')
}
#' @export
#' @rdname classification
classification.tolid <- function(id, callopts = list(),
return_id = TRUE, ...) {
fun <- function(x, callopts) {
if (is.na(x)) {
out <- NA
} else {
x <- as.numeric(x)
out <- tryCatch(rotl::taxonomy_taxon_info(x,
include_lineage = TRUE), error = function(e) e)
if (inherits(out, "error")) {
NA
} else {
outdf <- rotl::tax_lineage(out)[[1]]
# we have to reverse row order
outdf <- outdf[NROW(outdf):1, ]
# tack on species searched for
orig <- c(out[[1]]$rank, out[[1]]$name, out[[1]]$unique_name,
out[[1]]$ott_id)
outdf <- rbind(outdf, orig)
row.names(outdf) <- NULL
outdf <- outdf[ , c('name','rank', 'ott_id')]
names(outdf) <- c('name', 'rank', 'id')
if (!return_id) outdf <- outdf[, c('name', 'rank')]
return(outdf)
}
}
}
out <- lapply(id, fun, callopts = callopts)
names(out) <- id
structure(out, class = 'classification', db = 'tol')
}
#' @export
#' @rdname classification
classification.wormsid <- function(id, callopts = list(),
return_id = TRUE, ...) {
fun <- function(x, ...){
if (is.na(x)) {
out <- NA
} else {
out <- tryCatch(worrms::wm_classification(as.numeric(x), ...),
error = function(e) e)
if (inherits(out, "error")) {
NA
} else {
row.names(out) <- NULL
out <- out[ , c('scientificname','rank', 'AphiaID')]
names(out) <- c('name', 'rank', 'id')
if (!return_id) out <- out[, c('name', 'rank')]
return(out)
}
}
}
out <- lapply(id, fun, ...)
names(out) <- id
structure(out, class = 'classification', db = 'worms')
}
#' @export
#' @rdname classification
classification.natservid <- function(id, callopts = list(),
return_id = TRUE, ...) {
fun <- function(x, callopts) {
if (is.na(x)) {
out <- NA
} else {
out <- tryCatch(natserv::ns_data(x), error = function(e) e)
if (inherits(out, "error")) {
NA
} else {
tmp <- out[[1]]$classification
if (is.null(tmp)) return(NA)
tmp <- tmp$taxonomy$formalTaxonomy
if (is.null(tmp)) return(NA)
tmp <- tmp[names(tmp) %in% c('kingdom', 'phylum',
'class', 'order', 'family', 'genus')]
df <- data.frame(scientificname = unname(unlist(tmp)),
rank = names(tmp), stringsAsFactors = FALSE)
rks <- c('kingdom', 'phylum', 'class', 'order',
'family', 'genus', 'species')
targ_taxon <- c(
out[[1]]$classification$names$scientificName$unformattedName[[1]],
rks[which(df$rank[length(df$rank)] == rks) + 1]
)
df <- rbind(df, targ_taxon)
return(df)
}
}
}
out <- lapply(id, fun, callopts = callopts)
names(out) <- id
structure(out, class = 'classification', db = 'natserv')
}
#' @export
#' @rdname classification
classification.boldid <- function(id, callopts = list(),
return_id = TRUE, ...) {
fun <- function(x, callopts) {
if (is.na(x)) {
out <- NA
} else {
out <- tryCatch(bold_search(id = x, includeTree = TRUE),
error = function(e) e)
if (inherits(out, "error")) {
NA
} else {
if (is.null(out)) return(NA)
tmp <- out[names(out) %in% c('taxid', 'taxon', 'tax_rank')]
df <- data.frame(name = tmp$taxon, rank = tmp$tax_rank,
id = tmp$taxid, stringsAsFactors = FALSE)
return(df)
}
}
}
out <- lapply(id, fun, callopts = callopts)
names(out) <- id
structure(out, class = 'classification', db = 'bold')
}
#' @export
#' @rdname classification
classification.wiki <- function(id, callopts = list(), return_id = TRUE, ...) {
fun <- function(x, wiki_site = "species", wiki = "en", callopts) {
if (is.na(x)) {
out <- NA
} else {
fxn <- switch(
wiki_site,
species = wikitaxa::wt_wikispecies,
commons = wikitaxa::wt_wikicommons,
pedia = wikitaxa::wt_wikipedia
)
out <- tryCatch(fxn(x)$classification, error = function(e) e)
if (inherits(out, "error")) {
NA
} else {
if (is.null(out) || NROW(out) == 0) return(NA)
df <- data.frame(name = out$name, rank = out$rank,
stringsAsFactors = FALSE)
return(df)
}
}
}
out <- list()
for (i in seq_along(id)) {
out[[i]] <-
fun(id[i], attr(id, "wiki_site"), attr(id, "wiki_lang"))
}
names(out) <- id
structure(out, class = 'classification', db = 'wiki',
wiki_site = attr(id, "wiki_site"), wiki = attr(id, "wiki_lang"))
}
#' @export
#' @rdname classification
classification.pow <- function(id, callopts = list(), return_id = TRUE, ...) {
fun <- function(x, callopts) {
if (is.na(x)) {
out <- NA
} else {
out <- tryCatch(pow_lookup(x), error = function(e) e)
if (inherits(out, "error")) {
NA
} else {
if (is.null(out)) return(NA)
tmp <- out$meta$classification[,c('name', 'rank', 'fqId')]
df <- data.frame(name = tmp$name, rank = tolower(tmp$rank),
id = tmp$fqId, stringsAsFactors = FALSE)
return(df)
}
}
}
out <- lapply(id, fun, callopts = callopts)
names(out) <- id
structure(out, class = 'classification', db = 'pow')
}
# ---------
#' @export
#' @rdname classification
classification.ids <- function(id, ...) {
fun <- function(x, ...){
# return NA if NA is supplied
if (all(is.na(x))) {
out <- NA
} else {
out <- classification(x, ...)
}
return(out)
}
structure(lapply(id, fun, ...), class = 'classification_ids')
}
#' @export
#' @rdname classification
cbind.classification <- function(...) {
gethiernames <- function(x) {
x <- data.frame(x)
x$name <- as.character(x$name)
x$rank <- as.character(x$rank)
values <- setNames(data.frame(t(x[,'name']), stringsAsFactors = FALSE),
tolower(x[,'rank']))
if ("id" %in% names(x)) {
x$id <- as.character(x$id)
ids <- setNames(data.frame(t(x[,'id']), stringsAsFactors = FALSE),
paste0(tolower(x[,'rank']),"_id") )
data.frame(values, ids)
} else {
values
}
}
input <- x <- c(...)
input <- input[vapply(x, function(z) inherits(z, "data.frame"), logical(1))]
tmp <- do.call(rbind.fill, lapply(input, gethiernames))
tmp$query <- names(x)
tmp$db <- attr(x, "db")
tmp
}
#' @export
#' @rdname classification
rbind.classification <- function(...) {
input <- x <- c(...)
db <- attr(input, "db")
x <- input[vapply(x, function(z) inherits(z, "data.frame"), logical(1))]
for (i in seq_along(x)) {
x[[i]]$query <- names(x[i])
}
df <- do.call(rbind.fill, x)
df$db <- db
return( df )
}
#' @export
#' @rdname classification
cbind.classification_ids <- function(...) {
input <- c(...)
# remove non-data.frames
input <- input[vapply(input, function(x)
class(x[[1]])[1], "") %in% c("data.frame", "tbl_df")]
gethiernames <- function(x){
x$name <- as.character(x$name)
x$rank <- as.character(x$rank)
values <- setNames(data.frame(t(x$name), stringsAsFactors = FALSE),
tolower(x$rank))
if ("id" %in% names(x)) {
x$id <- as.character(x$id)
ids <- setNames(data.frame(t(x$id), stringsAsFactors = FALSE),
paste0(tolower(x$rank), "_id") )
data.frame(values, ids)
} else {
values
}
}
dat <- do.call(rbind.fill, lapply(input, function(h){
tmp <- lapply(h, gethiernames)
tmp <- do.call(rbind.fill, tmp)
tmp$query <- names(h)
tmp$db <- attr(h, "db")
tmp
})
)
move_col(tt = dat, y = c('query','db'))
}
#' @export
#' @rdname classification
rbind.classification_ids <- function(...) {
input <- c(...)
# remove non-data.frames
input <- input[vapply(input, function(x)
class(x[[1]])[1], "") %in% c("data.frame", "tbl_df")]
df <- lapply(input, function(x){
coll <- list()
for (i in seq_along(x)) {
coll[[i]] <- data.frame(names(x[i]), x[i][[1]], stringsAsFactors = FALSE)
}
coll
})
get <- list()
for (i in seq_along(df[[1]])) {
tmp <- do.call(rbind, lapply(df, "[[", i))
source2 <- gsub("\\.[0-9]+", "", row.names(tmp))
row.names(tmp) <- NULL
names(tmp)[1] <- "query"
tmp <- data.frame(db = source2, tmp, stringsAsFactors = FALSE)
get[[i]] <- tmp
}
tt <- if (length(get) == 1) get[[1]] else do.call(rbind.fill, get)
move_col(tt, c('query', 'db'))
}
| /R/classification.R | permissive | fuyanli-UHM/taxize | R | false | false | 29,466 | r | #' Retrieve the taxonomic hierarchy for a given taxon ID.
#'
#' @export
#' @param x Vector of taxa names (character) or IDs (character or numeric)
#' to query.
#' @param db character; database to query. either `ncbi`, `itis`, `eol`, `col`,
#' `tropicos`, `gbif`, `nbn`, `worms`, `natserv`, `bold`, `wiki`, or `pow`.
#' Note that each taxonomic data source has, their own identifiers, so that
#' if you provide the wrong `db` value for the identifier you could get a
#' result, but it will likely be wrong (not what you were expecting). If using
#' ncbi, eol, and/or tropicos, we recommend getting an API key; see
#' [taxize-authentication]
#' @param id character; identifiers, returned by [get_tsn()], [get_uid()],
#' [get_eolid()], [get_colid()], [get_tpsid()], [get_gbifid()], [get_tolid()],
#' [get_wormsid()], [get_natservid()], [get_wormsid()], [get_wiki()],
#' [get_pow()]
#' @param callopts Curl options passed on to [crul::verb-GET]
#' @param ... For `classification`: other arguments passed to [get_tsn()],
#' [get_uid()], [get_eolid()], [get_colid()], [get_tpsid()], [get_gbifid()],
#' [get_wormsid()], [get_natservid()], [get_wormsid()], [get_wiki()],
#' [get_pow()]. For `rbind.classification` and `cbind.classification`: one or
#' more objects of class `classification`
#'
#' @param start The first record to return. If omitted, the results are
#' returned from the first record (start=0). This is useful if the total
#' number of results is larger than the maximum number of results returned by
#' a single Web service query (currently the maximum number of results returned
#' by a single query is 500 for terse queries and 50 for full queries).
#' @param checklist character; The year of the checklist to query, if you want
#' a specific year's checklist instead of the lastest as default (numeric).
#' @param return_id (logical) If `TRUE` (default), return the taxon id
#' as well as the name and rank of taxa in the lineage returned.
#' Ignored for natserv as they don't return IDs in their taxonomic
#' classification data.
#' @param rows (numeric) Any number from 1 to infinity. If the default NA,
#' all rows are considered. Note that this parameter is ignored if you pass
#' in a taxonomic id instead of a name of class character.
#'
#' @return A named list of data.frames with the taxonomic classification of
#' every supplied taxa.
#' @details If IDs are supplied directly (not from the `get_*` functions)
#' you must specify the type of ID. There is a timeout of 1/3 seconds between
#' queries to NCBI.
#'
#' BEWARE: Right now, NBN doesn't return the queried taxon in the
#' classification. But you can attach it yourself quite easily of course.
#' This behavior is different from the other data sources.
#'
#' @seealso [get_tsn()], [get_uid()], [get_eolid()], [get_colid()],
#' [get_tpsid()], [get_gbifid()], [get_wormsid()], [get_natservid()],
#' [get_boldid()], [get_wiki()], [get_pow()]
#'
#' @section Lots of results:
#' It may happen sometimes that you get more results back from your query
#' than will show in the data.frame on screen. Our advice is to refine your
#' query in those cases. On a data source basis we can attempt to help
#' make it easier to refine queries, whether it be with the data provider
#' (unlikely to happen), or in the code in this package (more likely) -
#' let us know if you run into too many results problem and we'll see what
#' we can do.
#'
#' @section Authentication:
#' See [taxize-authentication]
#'
#' @examples \dontrun{
#' # Plug in taxon IDs
#' classification(9606, db = 'ncbi')
#' classification(c(9606, 55062), db = 'ncbi')
#' classification(129313, db = 'itis')
#' classification(6985636, db = 'eol')
#' classification(126436, db = 'worms')
#' classification('Helianthus annuus', db = 'pow')
#' classification('Helianthus', db = 'pow')
#' classification('Asteraceae', db = 'pow')
#' classification("ELEMENT_GLOBAL.2.134717", db = 'natserv')
#' classification(c(2704179, 2441176), db = 'gbif')
#' classification(25509881, db = 'tropicos')
#' classification("NBNSYS0000004786", db = 'nbn')
#' classification(as.nbnid("NBNSYS0000004786"), db = 'nbn')
#' classification(3930798, db = 'tol')
#'
#' ## works the same if IDs are in class character
#' classification(c("2704179", "2441176"), db = 'gbif')
#' classification("Agapostemon", db = "bold")
#'
#' # wikispecies
#' classification("Malus domestica", db = "wiki")
#' classification("Pinus contorta", db = "wiki")
#' classification("Pinus contorta", db = "wiki", wiki_site = "commons")
#' classification("Pinus contorta", db = "wiki", wiki_site = "pedia")
#' classification("Pinus contorta", db = "wiki", wiki_site = "pedia",
#' wiki = "fr")
#'
#' classification(get_wiki("Malus domestica", "commons"))
#' classification(get_wiki("Malus domestica", "species"))
#' classification(c("Pinus contorta", "Malus domestica"), db = "wiki")
#'
#' # Plug in taxon names
#' ## in this case, we use get_*() fxns internally to first get taxon IDs
#' classification("Oncorhynchus mykiss", db = "eol")
#' classification(c("Chironomus riparius", "aaa vva"), db = 'ncbi')
#' classification(c("Chironomus riparius", "aaa vva"), db = 'ncbi',
#' messages=FALSE)
#' classification(c("Chironomus riparius", "aaa vva"), db = 'itis')
#' classification(c("Chironomus riparius", "aaa vva"), db = 'itis',
#' messages=FALSE)
#' classification(c("Chironomus riparius", "aaa vva"), db = 'eol')
#' classification(c("Chironomus riparius", "aaa vva"), db = 'col')
#' classification("Alopias vulpinus", db = 'nbn')
#' classification('Gadus morhua', db = 'worms')
#' classification('Aquila chrysaetos', db = 'natserv')
#' classification('Gadus morhua', db = 'natserv')
#' classification('Pomatomus saltatrix', db = 'natserv')
#' classification('Aquila chrysaetos', db = 'natserv')
#' classification(c("Chironomus riparius", "aaa vva"), db = 'col',
#' messages=FALSE)
#' classification(c("Chironomus riparius", "asdfasdfsfdfsd"), db = 'gbif')
#' classification("Chironomus", db = 'tol')
#' classification("Poa annua", db = 'tropicos')
#'
#' # Use methods for get_uid, get_tsn, get_eolid, get_colid, get_tpsid
#' classification(get_uid(c("Chironomus riparius", "Puma concolor")))
#'
#' classification(get_uid(c("Chironomus riparius", "aaa vva")))
#' classification(get_tsn(c("Chironomus riparius", "aaa vva")))
#' classification(get_tsn(c("Chironomus riparius", "aaa vva"),
#' messages = FALSE))
#' classification(get_eolid(c("Chironomus riparius", "aaa vva")))
#' classification(get_colid(c("Chironomus riparius", "aaa vva")))
#' classification(get_tpsid(c("Poa annua", "aaa vva")))
#' classification(get_gbifid(c("Poa annua", "Bison bison")))
#'
#' # Pass many ids from class "ids"
#' (out <- get_ids(names="Puma concolor", db = c('ncbi','gbif')))
#' (cl <- classification(out))
#'
#' # Bind width-wise from class classification_ids
#' cbind(cl)
#'
#' # Bind length-wise
#' rbind(cl)
#'
#' # Many names to get_ids
#' (out <- get_ids(names=c("Puma concolor","Accipiter striatus"),
#' db = c('ncbi','itis','col')))
#' (cl <- classification(out))
#' rbind(cl)
#' ## cbind with so many names results in some messy data
#' cbind(cl)
#' ## so you can turn off return_id
#' cbind( classification(out, return_id=FALSE) )
#'
#' # rbind and cbind on class classification (from a
#' # call to get_colid, get_tsn, etc. other than get_ids)
#' (cl_col <- classification(
#' get_colid(c("Puma concolor","Accipiter striatus"))))
#' rbind(cl_col)
#' cbind(cl_col)
#'
#' (cl_uid <- classification(get_uid(c("Puma concolor",
#' "Accipiter striatus")), return_id=FALSE))
#' rbind(cl_uid)
#' cbind(cl_uid)
#' ## cbind works a bit odd when there are lots of ranks without names
#' (cl_uid <- classification(get_uid(c("Puma concolor","Accipiter striatus")),
#' return_id=TRUE))
#' cbind(cl_uid)
#'
#' (cl_tsn <- classification(get_tsn(c("Puma concolor","Accipiter striatus"))))
#' rbind(cl_tsn)
#' cbind(cl_tsn)
#'
#' (tsns <- get_tsn(c("Puma concolor","Accipiter striatus")))
#' (cl_tsns <- classification(tsns))
#' cbind(cl_tsns)
#'
#' # NBN data
#' (res <- classification(c("Alopias vulpinus","Pinus sylvestris"),
#' db = 'nbn'))
#' rbind(res)
#' cbind(res)
#'
#' # Return taxonomic IDs
#' ## the return_id parameter is logical, and you can turn it on or off.
#' ## It's TRUE by default
#' classification(c("Alopias vulpinus","Pinus sylvestris"), db = 'ncbi',
#' return_id = TRUE)
#' classification(c("Alopias vulpinus","Pinus sylvestris"), db = 'ncbi',
#' return_id = FALSE)
#'
#' # Use rows parameter to select certain
#' classification('Poa annua', db = 'tropicos')
#' classification('Poa annua', db = 'tropicos', rows=1:4)
#' classification('Poa annua', db = 'tropicos', rows=1)
#' classification('Poa annua', db = 'tropicos', rows=6)
#' }
#'
#' @examples \dontrun{
#' # Fails without db param set
#' # classification(315576)
#' }
classification <- function(...){
UseMethod("classification")
}
#' @export
#' @rdname classification
classification.default <- function(x, db = NULL, callopts = list(),
return_id = TRUE, rows = NA, ...) {
nstop(db)
switch(
db,
itis = {
id <- process_ids(x, db, get_tsn, rows = rows, ...)
stats::setNames(classification(id, return_id = return_id, ...), x)
},
ncbi = {
id <- process_ids(x, db, get_uid, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
eol = {
id <- process_ids(x, db, get_eolid, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
col = {
id <- process_ids(x, db, get_colid, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
tropicos = {
id <- process_ids(x, db, get_tpsid, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
gbif = {
id <- process_ids(x, db, get_gbifid, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
nbn = {
id <- process_ids(x, db, get_nbnid, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
tol = {
id <- process_ids(x, db, get_tolid, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
worms = {
id <- process_ids(x, db, get_wormsid, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
natserv = {
id <- process_ids(x, db, get_natservid, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
bold = {
id <- process_ids(x, db, get_boldid, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
wiki = {
id <- process_ids(x, db, get_wiki, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts,
return_id = return_id, ...), x)
},
pow = {
id <- process_ids(x, db, get_pow, rows = rows, ...)
stats::setNames(classification(id, callopts = callopts, return_id = return_id, ...), x)
},
stop("the provided db value was not recognised", call. = FALSE)
)
}
process_ids <- function(input, db, fxn, ...){
g <- tryCatch(as.numeric(as.character(input)), warning = function(e) e)
if (
inherits(g, "numeric") || # all others
is.character(input) && all(grepl("N[HB]", input)) || # NBN
is.character(input) && all(grepl("ELEMENT_GLOBAL", input)) || # Natserv
is.character(input) && all(grepl("urn:lsid", input)) # POW
) {
as_fxn <- switch(db,
itis = as.tsn,
ncbi = as.uid,
eol = as.eolid,
col = as.colid,
tropicos = as.tpsid,
gbif = as.gbifid,
nbn = as.nbnid,
tol = as.tolid,
worms = as.wormsid,
natserv = as.natservid,
bold = as.boldid,
wiki = as.wiki,
pow = as.pow)
as_fxn(input, check = FALSE)
} else {
eval(fxn)(input, ...)
}
}
#' @export
#' @rdname classification
classification.tsn <- function(id, return_id = TRUE, ...) {
fun <- function(x) {
# return NA if NA is supplied
if (is.na(x)) {
out <- NA
} else {
out <- ritis::hierarchy_full(as.character(x), wt = "json", raw = FALSE)
if (NROW(out) < 1) return(NA)
# make normal data.frame
out <- data.frame(out, stringsAsFactors = FALSE)
# remove overhang
out <- out[1:which(out$tsn == x), c('taxonname', 'rankname', 'tsn')]
names(out) <- c('name', 'rank', 'id')
# Optionally return tsn of lineage
if (!return_id) out <- out[, c('name', 'rank')]
out$rank <- tolower(out$rank)
}
return(out)
}
out <- lapply(id, fun)
names(out) <- id
structure(out, class = 'classification', db = 'itis')
}
#' @export
#' @rdname classification
classification.uid <- function(id, callopts = list(), return_id = TRUE, ...) {
fun <- function(x, callopts){
key <- getkey(NULL, service="entrez")
# return NA if NA is supplied
if (is.na(x)) {
out <- NA
} else {
query <- tc(list(db = "taxonomy", ID = x, api_key = key))
cli <- crul::HttpClient$new(url = ncbi_base(), opts = callopts)
res <- cli$get("entrez/eutils/efetch.fcgi", query = query)
res$raise_for_status()
tt <- res$parse("UTF-8")
ttp <- xml2::read_xml(tt)
out <- data.frame(
name = xml_text_all(ttp,
"//TaxaSet/Taxon/LineageEx/Taxon/ScientificName"),
rank = xml_text_all(ttp, "//TaxaSet/Taxon/LineageEx/Taxon/Rank"),
id = xml_text_all(ttp, "//TaxaSet/Taxon/LineageEx/Taxon/TaxId"),
stringsAsFactors = FALSE)
parent_id <- xml_text_all(ttp, "//TaxaSet/Taxon/ParentTaxId") %||% ""
# Is not directly below root and no lineage info
if (NROW(out) == 0 && parent_id != "1") {
out <- NA
} else {
out <- rbind(out,
data.frame(
name = xml_text_all(ttp, "//TaxaSet/Taxon/ScientificName"),
rank = xml_text_all(ttp, "//TaxaSet/Taxon/Rank"),
id = xml_text_all(ttp, "//TaxaSet/Taxon/TaxId"),
stringsAsFactors = FALSE))
# Optionally return tsn of lineage
if (!return_id) out <- out[, c('name', 'rank')]
out$rank <- tolower(out$rank)
return(out)
}
}
# NCBI limits requests to three per second
if (is.null(key)) Sys.sleep(0.34)
return(out)
}
out <- lapply(id, fun, callopts = callopts)
names(out) <- id
structure(out, class = 'classification', db = 'ncbi')
}
#' @export
#' @rdname classification
classification.eolid <- function(id, callopts = list(), return_id = TRUE, ...) {
common_names = synonyms = NULL
fun <- function(x){
if (is.na(x)) {
out <- NA
} else {
key <- getkey(NULL, "EOL_KEY")
args <- tc(list(common_names = common_names, synonyms = synonyms))
cli <- crul::HttpClient$new(url = 'https://eol.org', opts = callopts)
tt <- cli$get(file.path('api/hierarchy_entries/1.0', paste0(x, ".json")),
query = args)
tt$raise_for_status()
res <- jsonlite::fromJSON(tt$parse("UTF-8"), FALSE)
if (length(res$ancestors) == 0) {
return(sprintf("No hierarchy information for %s", x))
} else {
fff <- lapply(res$ancestors, function(z) {
z[sapply(z, is.null)] <- NA_character_
data.frame(z, stringsAsFactors = FALSE)
})
out <- do.call(rbind.fill, fff)[,c('scientificName',
'taxonRank', 'taxonID')]
# add querried taxon
tr <- res$taxonRank
out <- rbind(out,
c(res$scientificName, if ( is.null(tr) ) NA else tr, x))
names(out) <- c('name', 'rank', 'id')
# Optionally return id of lineage
if (!return_id) out <- out[, c('name', 'rank')]
out$rank <- tolower(out$rank)
return(out)
}
}
}
out <- lapply(id, fun)
names(out) <- id
structure(out, class = 'classification', db = 'eol')
}
#' @export
#' @rdname classification
classification.colid <- function(id, start = NULL, checklist = NULL,
callopts = list(), return_id = TRUE, ...) {
fun <- function(x, checklist, start, callopts){
# return NA if NA is supplied
if (is.na(x)) {
out <- NA
} else {
url <- make_url(checklist)
args <- tc(list(id = x, response = "full", start = start))
out <- tax_GET(url, query = args, opts = callopts)
tt <- xml2::read_xml(out$parse("UTF-8"))
out <- search_col_classification_df(tt)
# add query-ied taxon
out <- rbind(out, c(
xml2::xml_text(xml2::xml_find_first(tt, "//result/name")),
xml2::xml_text(xml2::xml_find_first(tt, "//result/rank")),
xml2::xml_text(xml2::xml_find_first(tt, "//result/id"))))
# Optionally return id of lineage
if (!return_id) out <- out[, c('name', 'rank')]
out$rank <- tolower(out$rank)
}
return(out)
}
out <- lapply(id, fun, checklist = checklist, start = start,
callopts = callopts)
names(out) <- id
structure(out, class = 'classification', db = 'col')
}
search_col_classification_df <- function(x) {
name <- xml2::xml_text(xml2::xml_find_all(x, "//classification//name"))
rank <- xml2::xml_text(xml2::xml_find_all(x, "//classification//rank"))
id <- xml2::xml_text(xml2::xml_find_all(x, "//classification//id"))
if (any(grepl("species", rank, ignore.case = TRUE))) {
name[which(rank %in% "Species")] <- paste(name[which(rank %in% "Genus")],
name[which(rank %in% "Species")], collapse = " ")
}
data.frame(name, rank, id, stringsAsFactors = FALSE)
}
#' @export
#' @rdname classification
classification.tpsid <- function(id, callopts = list(), return_id = TRUE, ...) {
fun <- function(x, callopts){
if (is.na(x)) {
out <- NA
} else {
url <- sprintf('http://services.tropicos.org/Name/%s/HigherTaxa', x)
key <- getkey(NULL, "TROPICOS_KEY")
args <- tc(list(format = 'json', apikey = key))
tt <- tax_GET(url, query = args, opts = callopts)
out <- jsonlite::fromJSON(tt$parse("UTF-8"), FALSE)
if (names(out[[1]])[[1]] == "Error") {
out <- data.frame(ScientificName = NA, Rank = NA)
} else {
out <- do.call(rbind.fill,
lapply(out, data.frame))[,c('ScientificName','Rank', 'NameId')]
}
names(out) <- c('name', 'rank', 'id')
# Optionally return id of lineage
if (!return_id) out <- out[, c('name', 'rank')]
out$rank <- tolower(out$rank)
}
return(out)
}
out <- lapply(id, fun, callopts = callopts)
names(out) <- id
structure(out, class = 'classification', db = 'tropicos')
}
#' @export
#' @rdname classification
classification.gbifid <- function(id, callopts = list(),
return_id = TRUE, ...) {
fun <- function(x, callopts){
if (is.na(x)) {
out <- NA
} else {
out <- suppressWarnings(tryCatch(
gbif_name_usage(key = x, callopts = callopts),
error = function(e) e))
if (is(out, "simpleError")) {
NA
} else {
nms <- ldply(out[c('kingdom','phylum','class',
'order','family','genus','species')])
keys <- unname(unlist(out[paste0(c('kingdom','phylum','class',
'order','family','genus','species'), "Key")]))
df <- data.frame(name = nms$V1, rank = nms$.id, id = keys,
stringsAsFactors = FALSE)
df$rank <- tolower(df$rank)
# Optionally return id of lineage
if (!return_id) df[, c('name', 'rank')] else df
}
}
}
out <- lapply(id, fun, callopts = callopts)
names(out) <- id
structure(out, class = 'classification', db = 'gbif')
}
#' @export
#' @rdname classification
classification.nbnid <- function(id, callopts = list(),
return_id = TRUE, ...) {
fun <- function(x, callopts){
if (is.na(x)) {
out <- NA
} else {
out <- suppressWarnings(tryCatch(nbn_classification(id = x, callopts),
error = function(e) e))
if (inherits(out, "simpleError")) {
NA
} else {
out <- out[ , c('scientificname', 'rank', 'guid')]
names(out) <- c('name', 'rank', 'id')
# Optionally return id of lineage
if (!return_id) out <- out[, c('name', 'rank')]
out$rank <- tolower(out$rank)
return(out)
}
}
}
out <- lapply(id, fun, callopts = callopts)
names(out) <- id
structure(out, class = 'classification', db = 'nbn')
}
#' @export
#' @rdname classification
classification.tolid <- function(id, callopts = list(),
return_id = TRUE, ...) {
fun <- function(x, callopts) {
if (is.na(x)) {
out <- NA
} else {
x <- as.numeric(x)
out <- tryCatch(rotl::taxonomy_taxon_info(x,
include_lineage = TRUE), error = function(e) e)
if (inherits(out, "error")) {
NA
} else {
outdf <- rotl::tax_lineage(out)[[1]]
# we have to reverse row order
outdf <- outdf[NROW(outdf):1, ]
# tack on species searched for
orig <- c(out[[1]]$rank, out[[1]]$name, out[[1]]$unique_name,
out[[1]]$ott_id)
outdf <- rbind(outdf, orig)
row.names(outdf) <- NULL
outdf <- outdf[ , c('name','rank', 'ott_id')]
names(outdf) <- c('name', 'rank', 'id')
if (!return_id) outdf <- outdf[, c('name', 'rank')]
return(outdf)
}
}
}
out <- lapply(id, fun, callopts = callopts)
names(out) <- id
structure(out, class = 'classification', db = 'tol')
}
#' @export
#' @rdname classification
classification.wormsid <- function(id, callopts = list(),
return_id = TRUE, ...) {
fun <- function(x, ...){
if (is.na(x)) {
out <- NA
} else {
out <- tryCatch(worrms::wm_classification(as.numeric(x), ...),
error = function(e) e)
if (inherits(out, "error")) {
NA
} else {
row.names(out) <- NULL
out <- out[ , c('scientificname','rank', 'AphiaID')]
names(out) <- c('name', 'rank', 'id')
if (!return_id) out <- out[, c('name', 'rank')]
return(out)
}
}
}
out <- lapply(id, fun, ...)
names(out) <- id
structure(out, class = 'classification', db = 'worms')
}
#' @export
#' @rdname classification
classification.natservid <- function(id, callopts = list(),
return_id = TRUE, ...) {
fun <- function(x, callopts) {
if (is.na(x)) {
out <- NA
} else {
out <- tryCatch(natserv::ns_data(x), error = function(e) e)
if (inherits(out, "error")) {
NA
} else {
tmp <- out[[1]]$classification
if (is.null(tmp)) return(NA)
tmp <- tmp$taxonomy$formalTaxonomy
if (is.null(tmp)) return(NA)
tmp <- tmp[names(tmp) %in% c('kingdom', 'phylum',
'class', 'order', 'family', 'genus')]
df <- data.frame(scientificname = unname(unlist(tmp)),
rank = names(tmp), stringsAsFactors = FALSE)
rks <- c('kingdom', 'phylum', 'class', 'order',
'family', 'genus', 'species')
targ_taxon <- c(
out[[1]]$classification$names$scientificName$unformattedName[[1]],
rks[which(df$rank[length(df$rank)] == rks) + 1]
)
df <- rbind(df, targ_taxon)
return(df)
}
}
}
out <- lapply(id, fun, callopts = callopts)
names(out) <- id
structure(out, class = 'classification', db = 'natserv')
}
#' @export
#' @rdname classification
classification.boldid <- function(id, callopts = list(),
return_id = TRUE, ...) {
fun <- function(x, callopts) {
if (is.na(x)) {
out <- NA
} else {
out <- tryCatch(bold_search(id = x, includeTree = TRUE),
error = function(e) e)
if (inherits(out, "error")) {
NA
} else {
if (is.null(out)) return(NA)
tmp <- out[names(out) %in% c('taxid', 'taxon', 'tax_rank')]
df <- data.frame(name = tmp$taxon, rank = tmp$tax_rank,
id = tmp$taxid, stringsAsFactors = FALSE)
return(df)
}
}
}
out <- lapply(id, fun, callopts = callopts)
names(out) <- id
structure(out, class = 'classification', db = 'bold')
}
#' @export
#' @rdname classification
classification.wiki <- function(id, callopts = list(), return_id = TRUE, ...) {
fun <- function(x, wiki_site = "species", wiki = "en", callopts) {
if (is.na(x)) {
out <- NA
} else {
fxn <- switch(
wiki_site,
species = wikitaxa::wt_wikispecies,
commons = wikitaxa::wt_wikicommons,
pedia = wikitaxa::wt_wikipedia
)
out <- tryCatch(fxn(x)$classification, error = function(e) e)
if (inherits(out, "error")) {
NA
} else {
if (is.null(out) || NROW(out) == 0) return(NA)
df <- data.frame(name = out$name, rank = out$rank,
stringsAsFactors = FALSE)
return(df)
}
}
}
out <- list()
for (i in seq_along(id)) {
out[[i]] <-
fun(id[i], attr(id, "wiki_site"), attr(id, "wiki_lang"))
}
names(out) <- id
structure(out, class = 'classification', db = 'wiki',
wiki_site = attr(id, "wiki_site"), wiki = attr(id, "wiki_lang"))
}
#' @export
#' @rdname classification
classification.pow <- function(id, callopts = list(), return_id = TRUE, ...) {
fun <- function(x, callopts) {
if (is.na(x)) {
out <- NA
} else {
out <- tryCatch(pow_lookup(x), error = function(e) e)
if (inherits(out, "error")) {
NA
} else {
if (is.null(out)) return(NA)
tmp <- out$meta$classification[,c('name', 'rank', 'fqId')]
df <- data.frame(name = tmp$name, rank = tolower(tmp$rank),
id = tmp$fqId, stringsAsFactors = FALSE)
return(df)
}
}
}
out <- lapply(id, fun, callopts = callopts)
names(out) <- id
structure(out, class = 'classification', db = 'pow')
}
# ---------
#' @export
#' @rdname classification
classification.ids <- function(id, ...) {
fun <- function(x, ...){
# return NA if NA is supplied
if (all(is.na(x))) {
out <- NA
} else {
out <- classification(x, ...)
}
return(out)
}
structure(lapply(id, fun, ...), class = 'classification_ids')
}
#' @export
#' @rdname classification
cbind.classification <- function(...) {
gethiernames <- function(x) {
x <- data.frame(x)
x$name <- as.character(x$name)
x$rank <- as.character(x$rank)
values <- setNames(data.frame(t(x[,'name']), stringsAsFactors = FALSE),
tolower(x[,'rank']))
if ("id" %in% names(x)) {
x$id <- as.character(x$id)
ids <- setNames(data.frame(t(x[,'id']), stringsAsFactors = FALSE),
paste0(tolower(x[,'rank']),"_id") )
data.frame(values, ids)
} else {
values
}
}
input <- x <- c(...)
input <- input[vapply(x, function(z) inherits(z, "data.frame"), logical(1))]
tmp <- do.call(rbind.fill, lapply(input, gethiernames))
tmp$query <- names(x)
tmp$db <- attr(x, "db")
tmp
}
#' @export
#' @rdname classification
rbind.classification <- function(...) {
input <- x <- c(...)
db <- attr(input, "db")
x <- input[vapply(x, function(z) inherits(z, "data.frame"), logical(1))]
for (i in seq_along(x)) {
x[[i]]$query <- names(x[i])
}
df <- do.call(rbind.fill, x)
df$db <- db
return( df )
}
#' @export
#' @rdname classification
cbind.classification_ids <- function(...) {
input <- c(...)
# remove non-data.frames
input <- input[vapply(input, function(x)
class(x[[1]])[1], "") %in% c("data.frame", "tbl_df")]
gethiernames <- function(x){
x$name <- as.character(x$name)
x$rank <- as.character(x$rank)
values <- setNames(data.frame(t(x$name), stringsAsFactors = FALSE),
tolower(x$rank))
if ("id" %in% names(x)) {
x$id <- as.character(x$id)
ids <- setNames(data.frame(t(x$id), stringsAsFactors = FALSE),
paste0(tolower(x$rank), "_id") )
data.frame(values, ids)
} else {
values
}
}
dat <- do.call(rbind.fill, lapply(input, function(h){
tmp <- lapply(h, gethiernames)
tmp <- do.call(rbind.fill, tmp)
tmp$query <- names(h)
tmp$db <- attr(h, "db")
tmp
})
)
move_col(tt = dat, y = c('query','db'))
}
#' @export
#' @rdname classification
rbind.classification_ids <- function(...) {
input <- c(...)
# remove non-data.frames
input <- input[vapply(input, function(x)
class(x[[1]])[1], "") %in% c("data.frame", "tbl_df")]
df <- lapply(input, function(x){
coll <- list()
for (i in seq_along(x)) {
coll[[i]] <- data.frame(names(x[i]), x[i][[1]], stringsAsFactors = FALSE)
}
coll
})
get <- list()
for (i in seq_along(df[[1]])) {
tmp <- do.call(rbind, lapply(df, "[[", i))
source2 <- gsub("\\.[0-9]+", "", row.names(tmp))
row.names(tmp) <- NULL
names(tmp)[1] <- "query"
tmp <- data.frame(db = source2, tmp, stringsAsFactors = FALSE)
get[[i]] <- tmp
}
tt <- if (length(get) == 1) get[[1]] else do.call(rbind.fill, get)
move_col(tt, c('query', 'db'))
}
|
loan.test <- read.csv("/home/awaz/Documents/UISCourses/DataScience/midterm_test.csv", stringsAsFactors = FALSE)
str(loan.test)
#First try with selected variable
loan.second.tst <- loan.test[,-which(names(loan.test) %in% c("Loan_ID", "Borrower_ID", "Employer", "Loan_Description",
"Purpose_Of_Loan", "Loan_Title", "Zip_3", "Month_Earliest_Credit", "Months_Since_Record",
"Public_Record_Count", "Outstanding_Principal", "Outstanding_Principal_Remaining",
"Last_Payment_Received", "Last_Payment_Total", "Next_Payment_date", "Policy_Code",
"Length_Employed", "Month_Issued", "State", "Number_Delinqueny_2yrs"))]
str(loan.second.tst)
#remove $, % and ',' from data
intrtonum <- function(x){gsub("%|\\$|,|[a-zA-Z]|\\s+","",x)}
#mode function
Defmode <- function(x){ ux <- unique(x); ux[which.max(tabulate(match(x,ux)))]}
#clean loan_amount_requested
loan.second.tst$Loan_Amount_Requested <- sapply(loan.second.tst$Loan_Amount_Requested, intrtonum)
loan.second.tst$Loan_Amount_Requested <- as.numeric(loan.second.tst$Loan_Amount_Requested)
#clean loan amount funded
loan.second.tst$Loan_Amount_Funded <- sapply(loan.second.tst$Loan_Amount_Funded, intrtonum)
loan.second.tst$Loan_Amount_Funded <- as.numeric(loan.second.tst$Loan_Amount_Funded)
#Clean loan amount funded by investor
loan.second.tst$Loan_Amount_Funded_by_Investors <- sapply(loan.second.tst$Loan_Amount_Funded_by_Investors,intrtonum)
loan.second.tst$Loan_Amount_Funded_by_Investors <- as.numeric(loan.second.tst$Loan_Amount_Funded_by_Investors)
#clean initial loan term
loan.second.tst$Initial_Loan_Term_Months <- sapply(loan.second.tst$Initial_Loan_Term_Months, intrtonum)
loan.second.tst$Initial_Loan_Term_Months <- as.numeric(loan.second.tst$Initial_Loan_Term_Months)
#check loan grade
loan.second.tst$Loan_Grade[loan.second.tst$Loan_Grade==""] <- "0"
#One hot encoding for loan grade
convert_loan <- function(a,b){
switch (b,
A0 = {a <- ifelse(a=="A" | a=="0", "1", "0")},
BCD = {a <- ifelse(a=="B" | a=="C" | a=="D", "1", "0")}
)
}
loan.second.tst$GA0 <- sapply(loan.second.tst$Loan_Grade,convert_loan,b="A0")
loan.second.tst$GA0 <- as.numeric(loan.second.tst$GA0)
loan.second.tst$GBCD <- sapply(loan.second.tst$Loan_Grade,convert_loan,b="BCD")
loan.second.tst$GBCD <- as.numeric(loan.second.tst$GBCD)
#convert "" in loan sub grade to 0
#loan.second.tst$Sub_Loan_Grade[loan.second.tst$Sub_Loan_Grade==""] <- "0"
#loan.second.tst$Sub_Loan_Grade <- as.factor(loan.second.tst$Sub_Loan_Grade)
#Home owner cleanup
#Drop bad homes
convert_home <- function(a,b){
switch (b,
OWN = {a <- ifelse(a=="OWN" | a=="MORTGAGE", "1", "0")},
RENT= {a <- ifelse(a=="RENT", "1", "0")}
)
}
loan.second.tst$Home_own <- sapply(loan.second.tst$Home_Owner.,convert_home,b="OWN")
loan.second.tst$Home_own <- as.numeric(loan.second.tst$Home_own)
loan.second.tst$Home_Rent <- sapply(loan.second.tst$Home_Owner.,convert_home,b="RENT")
loan.second.tst$Home_Rent <- as.numeric(loan.second.tst$Home_Rent)
#Clean annual income
#loan.second.tst$Annual_Income <- sapply(loan.second.tst$Annual_Income, intrtonum)
#temp <- as.numeric(loan.second.tst$Annual_Income)
#loan.second.tst <- loan.second.tst[na.omit(loan.second.tst$Annual_Income),]
#Clean Income verification
#First will convert 'Verified' to 'yes' and 'not-verfied' to 'no'. Also convert all income values to 'no'
loan.second.tst$Income_Verified[grep("VERIFIED",loan.second.tst$Income_Verified)] <- "1"
loan.second.tst$Income_Verified[grep("not",loan.second.tst$Income_Verified)] <- "0"
loan.second.tst$Income_Verified <- as.numeric(loan.second.tst$Income_Verified)
loan.second.tst$Income_Verified[is.na(loan.second.tst$Income_Verified)] <- 0
#-------
#clean current status
#There are very few obs with month-yr date and one 'VERIFIED-income'. Best to get rid of these obs
#index_stat <- grep("Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec|VERIFIED",loan.second.tst$Current_Status)
#loan.second.tst <- loan.second.tst[-index_stat,]
#loan.second.tst$Current_Status <- as.factor(loan.second.tst$Current_Status)
#Payment plan cleanup
loan.second.tst$Payment_Plan_Ind[loan.second.tst$Payment_Plan_Ind=="y"] <- "1"
loan.second.tst$Payment_Plan_Ind[loan.second.tst$Payment_Plan_Ind=="n"] <- "0"
loan.second.tst$Payment_Plan_Ind <- as.numeric(loan.second.tst$Payment_Plan_Ind)
loan.second.tst$Payment_Plan_Ind[is.na(loan.second.tst$Payment_Plan_Ind)] <- 0
#Clean debt to income
loan.second.tst$Debt_To_Income <- sapply(loan.second.tst$Debt_To_Income, intrtonum)
temp <- as.numeric(loan.second.tst$Debt_To_Income)
temp[is.na(temp)] <- 0
loan.second.tst$Debt_To_Income <- temp
#Clean month since dilinquency
loan.second.tst$Months_Since_Deliquency[loan.second.tst$Months_Since_Deliquency==""] <- 0
temp <- floor(as.numeric(loan.second.tst$Months_Since_Deliquency))
temp[is.na(temp)] <- 0
loan.second.tst$Months_Since_Deliquency <- temp
#clean inquiries_last_6Mo
#first round, we will convert all alpha values to 0
loan.second.tst$Inquiries_Last_6Mo <- floor(as.numeric(loan.second.tst$Inquiries_Last_6Mo))
loan.second.tst$Inquiries_Last_6Mo[is.na(loan.second.tst$Inquiries_Last_6Mo)] <- 0
#clean number of open accounts.
loan.second.tst$Number_Open_Accounts <- floor(as.numeric(loan.second.tst$Number_Open_Accounts))
loan.second.tst$Number_Open_Accounts[is.na(loan.second.tst$Number_Open_Accounts)] <- 0
#Clean revolving balance. Change NA to 0
temp <- as.numeric(loan.second.tst$Revolving_Balance)
temp[is.na(temp)] <- 0
loan.second.tst$Revolving_Balance <- temp
#Clean revolving util
loan.second.tst$Revolving_Utilization <- sapply(loan.second.tst$Revolving_Utilization, intrtonum)
temp <- as.numeric(loan.second.tst$Revolving_Utilization)/100
temp[is.na(temp)] <- 0
loan.second.tst$Revolving_Utilization <- temp
#Clean total accounts
temp <- as.numeric(loan.second.tst$Total_Accounts)
temp[is.na(temp)] <- 0
loan.second.tst$Total_Accounts <- temp
#Clean initial status
#There a few numeric values - we will assume these to be 'f'
#loan.second.tst$Initial_Status[grep("[0-9]",loan.second.tst$Initial_Status)] <- "f"
#loan.second.tst$Initial_Status <- as.factor(loan.second.tst$Initial_Status)
#Clean total payment
loan.second.tst$Total_Payment <- sapply(loan.second.tst$Total_Payment,intrtonum)
temp <- as.numeric(loan.second.tst$Total_Payment)
temp[is.na(temp)] <- 0
loan.second.tst$Total_Payment <- temp
#clean total payment funded
loan.second.tst$Total_Payment_Funded <- sapply(loan.second.tst$Total_Payment_Funded, intrtonum)
temp <- as.numeric(loan.second.tst$Total_Payment_Funded)
temp[is.na(temp)] <- 0
loan.second.tst$Total_Payment_Funded <- temp
#Clean Total Received
loan.second.tst$Total_Received <- sapply(loan.second.tst$Total_Received, intrtonum)
temp <- as.numeric(loan.second.tst$Total_Received)
temp[is.na(temp)] <- 0
loan.second.tst$Total_Received <- temp
#Clean total received interest
loan.second.tst$Total_Received_Interest <- sapply(loan.second.tst$Total_Received_Interest, intrtonum)
temp <- as.numeric(loan.second.tst$Total_Received_Interest)
temp[is.na(temp)] <- 0
loan.second.tst$Total_Received_Interest <- temp
#Clean total received late fees
loan.second.tst$Total_Received_Late_Fees <- sapply(loan.second.tst$Total_Received_Late_Fees,intrtonum)
temp <- as.numeric(loan.second.tst$Total_Received_Late_Fees)
temp[is.na(temp)] <- 0
loan.second.tst$Total_Received_Late_Fees <- temp
#Clean recoveries
loan.second.tst$Recoveries <- sapply(loan.second.tst$Recoveries,intrtonum)
temp <- as.numeric(loan.second.tst$Recoveries)
temp[is.na(temp)] <- 0
loan.second.tst$Recoveries <- temp
#Clean collection fee
loan.second.tst$Collection_Recovery_Fee <- sapply(loan.second.tst$Collection_Recovery_Fee,intrtonum)
temp <- as.numeric(loan.second.tst$Collection_Recovery_Fee)
temp[is.na(temp)] <- 0
loan.second.tst$Collection_Recovery_Fee <- temp
#Derogatory record
convert_der <- function(x){x <- ifelse(x=="", "0", "1")}
loan.second.tst$Derogatory <- sapply(loan.second.tst$Months_Since_Last_Derogatory, convert_der)
loan.second.tst$Derogatory <- as.numeric(loan.second.tst$Derogatory)
#Collection
loan.second.tst$Collections <- as.numeric(loan.second.tst$Collections_12Mo_Exclude_Med)
loan.second.tst$Collections[is.na(loan.second.tst$Collections)] <- 0
#We will omit a few more columns
loan.second.tst <- loan.second.tst[,-which(names(loan.second.tst) %in% c("Loan_Grade","Sub_Loan_Grade","Home_Owner.","Annual_Income",
"Current_Status","Initial_Status","Next_Payment_Date",
"Last_Credit_Pulled","Collections_12Mo_Exclude_Med",
"Months_Since_Last_Derogatory","Collections"))]
str(loan.second.tst)
#Remove a few more columns to build model
loan.second.tst.sub <- loan.second.tst[,-which(names(loan.second.tst) %in% c("Total_Payment","Total_Payment_Funded","Total_Received",
"Total_Received_Interest","Total_Received_Late_Fees",
"Recoveries","Collection_Recovery_Fee","Months_Since_Deliquency",
"Revolving_Balance"))]
str(loan.second.tst.sub)
#Predict results
results.sub <- predict(rmodel,loan.second.tst.sub[,-1])
submit.data <- data.frame(Id=loan.second.tst.sub$X, Rate=results.sub)
write.csv(submit.data,file = "/home/awaz/Documents/UISCourses/DataScience/submit4.csv",row.names = FALSE)
#Predict results
results.sub1 <- predict(rfmodel,loan.second.tst.sub[,-1])
submit.data1 <- data.frame(Id=loan.second.tst.sub$X,Rate=results.sub1)
write.csv(submit.data1,file = "/home/awaz/Documents/UISCourses/DataScience/submit5.csv",row.names = FALSE)
| /CSCMidTerm/NameTheLoanTEST.R | no_license | Psychkya/Data-Sciences | R | false | false | 10,014 | r | loan.test <- read.csv("/home/awaz/Documents/UISCourses/DataScience/midterm_test.csv", stringsAsFactors = FALSE)
str(loan.test)
#First try with selected variable
loan.second.tst <- loan.test[,-which(names(loan.test) %in% c("Loan_ID", "Borrower_ID", "Employer", "Loan_Description",
"Purpose_Of_Loan", "Loan_Title", "Zip_3", "Month_Earliest_Credit", "Months_Since_Record",
"Public_Record_Count", "Outstanding_Principal", "Outstanding_Principal_Remaining",
"Last_Payment_Received", "Last_Payment_Total", "Next_Payment_date", "Policy_Code",
"Length_Employed", "Month_Issued", "State", "Number_Delinqueny_2yrs"))]
str(loan.second.tst)
#remove $, % and ',' from data
intrtonum <- function(x){gsub("%|\\$|,|[a-zA-Z]|\\s+","",x)}
#mode function
Defmode <- function(x){ ux <- unique(x); ux[which.max(tabulate(match(x,ux)))]}
#clean loan_amount_requested
loan.second.tst$Loan_Amount_Requested <- sapply(loan.second.tst$Loan_Amount_Requested, intrtonum)
loan.second.tst$Loan_Amount_Requested <- as.numeric(loan.second.tst$Loan_Amount_Requested)
#clean loan amount funded
loan.second.tst$Loan_Amount_Funded <- sapply(loan.second.tst$Loan_Amount_Funded, intrtonum)
loan.second.tst$Loan_Amount_Funded <- as.numeric(loan.second.tst$Loan_Amount_Funded)
#Clean loan amount funded by investor
loan.second.tst$Loan_Amount_Funded_by_Investors <- sapply(loan.second.tst$Loan_Amount_Funded_by_Investors,intrtonum)
loan.second.tst$Loan_Amount_Funded_by_Investors <- as.numeric(loan.second.tst$Loan_Amount_Funded_by_Investors)
#clean initial loan term
loan.second.tst$Initial_Loan_Term_Months <- sapply(loan.second.tst$Initial_Loan_Term_Months, intrtonum)
loan.second.tst$Initial_Loan_Term_Months <- as.numeric(loan.second.tst$Initial_Loan_Term_Months)
#check loan grade
loan.second.tst$Loan_Grade[loan.second.tst$Loan_Grade==""] <- "0"
#One hot encoding for loan grade
convert_loan <- function(a,b){
switch (b,
A0 = {a <- ifelse(a=="A" | a=="0", "1", "0")},
BCD = {a <- ifelse(a=="B" | a=="C" | a=="D", "1", "0")}
)
}
loan.second.tst$GA0 <- sapply(loan.second.tst$Loan_Grade,convert_loan,b="A0")
loan.second.tst$GA0 <- as.numeric(loan.second.tst$GA0)
loan.second.tst$GBCD <- sapply(loan.second.tst$Loan_Grade,convert_loan,b="BCD")
loan.second.tst$GBCD <- as.numeric(loan.second.tst$GBCD)
#convert "" in loan sub grade to 0
#loan.second.tst$Sub_Loan_Grade[loan.second.tst$Sub_Loan_Grade==""] <- "0"
#loan.second.tst$Sub_Loan_Grade <- as.factor(loan.second.tst$Sub_Loan_Grade)
#Home owner cleanup
#Drop bad homes
convert_home <- function(a,b){
switch (b,
OWN = {a <- ifelse(a=="OWN" | a=="MORTGAGE", "1", "0")},
RENT= {a <- ifelse(a=="RENT", "1", "0")}
)
}
loan.second.tst$Home_own <- sapply(loan.second.tst$Home_Owner.,convert_home,b="OWN")
loan.second.tst$Home_own <- as.numeric(loan.second.tst$Home_own)
loan.second.tst$Home_Rent <- sapply(loan.second.tst$Home_Owner.,convert_home,b="RENT")
loan.second.tst$Home_Rent <- as.numeric(loan.second.tst$Home_Rent)
#Clean annual income
#loan.second.tst$Annual_Income <- sapply(loan.second.tst$Annual_Income, intrtonum)
#temp <- as.numeric(loan.second.tst$Annual_Income)
#loan.second.tst <- loan.second.tst[na.omit(loan.second.tst$Annual_Income),]
#Clean Income verification
#First will convert 'Verified' to 'yes' and 'not-verfied' to 'no'. Also convert all income values to 'no'
loan.second.tst$Income_Verified[grep("VERIFIED",loan.second.tst$Income_Verified)] <- "1"
loan.second.tst$Income_Verified[grep("not",loan.second.tst$Income_Verified)] <- "0"
loan.second.tst$Income_Verified <- as.numeric(loan.second.tst$Income_Verified)
loan.second.tst$Income_Verified[is.na(loan.second.tst$Income_Verified)] <- 0
#-------
#clean current status
#There are very few obs with month-yr date and one 'VERIFIED-income'. Best to get rid of these obs
#index_stat <- grep("Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec|VERIFIED",loan.second.tst$Current_Status)
#loan.second.tst <- loan.second.tst[-index_stat,]
#loan.second.tst$Current_Status <- as.factor(loan.second.tst$Current_Status)
#Payment plan cleanup
loan.second.tst$Payment_Plan_Ind[loan.second.tst$Payment_Plan_Ind=="y"] <- "1"
loan.second.tst$Payment_Plan_Ind[loan.second.tst$Payment_Plan_Ind=="n"] <- "0"
loan.second.tst$Payment_Plan_Ind <- as.numeric(loan.second.tst$Payment_Plan_Ind)
loan.second.tst$Payment_Plan_Ind[is.na(loan.second.tst$Payment_Plan_Ind)] <- 0
#Clean debt to income
loan.second.tst$Debt_To_Income <- sapply(loan.second.tst$Debt_To_Income, intrtonum)
temp <- as.numeric(loan.second.tst$Debt_To_Income)
temp[is.na(temp)] <- 0
loan.second.tst$Debt_To_Income <- temp
#Clean month since dilinquency
loan.second.tst$Months_Since_Deliquency[loan.second.tst$Months_Since_Deliquency==""] <- 0
temp <- floor(as.numeric(loan.second.tst$Months_Since_Deliquency))
temp[is.na(temp)] <- 0
loan.second.tst$Months_Since_Deliquency <- temp
#clean inquiries_last_6Mo
#first round, we will convert all alpha values to 0
loan.second.tst$Inquiries_Last_6Mo <- floor(as.numeric(loan.second.tst$Inquiries_Last_6Mo))
loan.second.tst$Inquiries_Last_6Mo[is.na(loan.second.tst$Inquiries_Last_6Mo)] <- 0
#clean number of open accounts.
loan.second.tst$Number_Open_Accounts <- floor(as.numeric(loan.second.tst$Number_Open_Accounts))
loan.second.tst$Number_Open_Accounts[is.na(loan.second.tst$Number_Open_Accounts)] <- 0
#Clean revolving balance. Change NA to 0
temp <- as.numeric(loan.second.tst$Revolving_Balance)
temp[is.na(temp)] <- 0
loan.second.tst$Revolving_Balance <- temp
#Clean revolving util
loan.second.tst$Revolving_Utilization <- sapply(loan.second.tst$Revolving_Utilization, intrtonum)
temp <- as.numeric(loan.second.tst$Revolving_Utilization)/100
temp[is.na(temp)] <- 0
loan.second.tst$Revolving_Utilization <- temp
#Clean total accounts
temp <- as.numeric(loan.second.tst$Total_Accounts)
temp[is.na(temp)] <- 0
loan.second.tst$Total_Accounts <- temp
#Clean initial status
#There a few numeric values - we will assume these to be 'f'
#loan.second.tst$Initial_Status[grep("[0-9]",loan.second.tst$Initial_Status)] <- "f"
#loan.second.tst$Initial_Status <- as.factor(loan.second.tst$Initial_Status)
#Clean total payment
loan.second.tst$Total_Payment <- sapply(loan.second.tst$Total_Payment,intrtonum)
temp <- as.numeric(loan.second.tst$Total_Payment)
temp[is.na(temp)] <- 0
loan.second.tst$Total_Payment <- temp
#clean total payment funded
loan.second.tst$Total_Payment_Funded <- sapply(loan.second.tst$Total_Payment_Funded, intrtonum)
temp <- as.numeric(loan.second.tst$Total_Payment_Funded)
temp[is.na(temp)] <- 0
loan.second.tst$Total_Payment_Funded <- temp
#Clean Total Received
loan.second.tst$Total_Received <- sapply(loan.second.tst$Total_Received, intrtonum)
temp <- as.numeric(loan.second.tst$Total_Received)
temp[is.na(temp)] <- 0
loan.second.tst$Total_Received <- temp
#Clean total received interest
loan.second.tst$Total_Received_Interest <- sapply(loan.second.tst$Total_Received_Interest, intrtonum)
temp <- as.numeric(loan.second.tst$Total_Received_Interest)
temp[is.na(temp)] <- 0
loan.second.tst$Total_Received_Interest <- temp
#Clean total received late fees
loan.second.tst$Total_Received_Late_Fees <- sapply(loan.second.tst$Total_Received_Late_Fees,intrtonum)
temp <- as.numeric(loan.second.tst$Total_Received_Late_Fees)
temp[is.na(temp)] <- 0
loan.second.tst$Total_Received_Late_Fees <- temp
#Clean recoveries
loan.second.tst$Recoveries <- sapply(loan.second.tst$Recoveries,intrtonum)
temp <- as.numeric(loan.second.tst$Recoveries)
temp[is.na(temp)] <- 0
loan.second.tst$Recoveries <- temp
#Clean collection fee
loan.second.tst$Collection_Recovery_Fee <- sapply(loan.second.tst$Collection_Recovery_Fee,intrtonum)
temp <- as.numeric(loan.second.tst$Collection_Recovery_Fee)
temp[is.na(temp)] <- 0
loan.second.tst$Collection_Recovery_Fee <- temp
#Derogatory record
convert_der <- function(x){x <- ifelse(x=="", "0", "1")}
loan.second.tst$Derogatory <- sapply(loan.second.tst$Months_Since_Last_Derogatory, convert_der)
loan.second.tst$Derogatory <- as.numeric(loan.second.tst$Derogatory)
#Collection
loan.second.tst$Collections <- as.numeric(loan.second.tst$Collections_12Mo_Exclude_Med)
loan.second.tst$Collections[is.na(loan.second.tst$Collections)] <- 0
#We will omit a few more columns
loan.second.tst <- loan.second.tst[,-which(names(loan.second.tst) %in% c("Loan_Grade","Sub_Loan_Grade","Home_Owner.","Annual_Income",
"Current_Status","Initial_Status","Next_Payment_Date",
"Last_Credit_Pulled","Collections_12Mo_Exclude_Med",
"Months_Since_Last_Derogatory","Collections"))]
str(loan.second.tst)
#Remove a few more columns to build model
loan.second.tst.sub <- loan.second.tst[,-which(names(loan.second.tst) %in% c("Total_Payment","Total_Payment_Funded","Total_Received",
"Total_Received_Interest","Total_Received_Late_Fees",
"Recoveries","Collection_Recovery_Fee","Months_Since_Deliquency",
"Revolving_Balance"))]
str(loan.second.tst.sub)
#Predict results
results.sub <- predict(rmodel,loan.second.tst.sub[,-1])
submit.data <- data.frame(Id=loan.second.tst.sub$X, Rate=results.sub)
write.csv(submit.data,file = "/home/awaz/Documents/UISCourses/DataScience/submit4.csv",row.names = FALSE)
#Predict results
results.sub1 <- predict(rfmodel,loan.second.tst.sub[,-1])
submit.data1 <- data.frame(Id=loan.second.tst.sub$X,Rate=results.sub1)
write.csv(submit.data1,file = "/home/awaz/Documents/UISCourses/DataScience/submit5.csv",row.names = FALSE)
|
#ASSIGNMENT 4 ---------
setwd("~/Studier+Studentliv/HT19/TDDE01/Labb2")
data_frame=read.csv2("NIRSpectra.csv")
RGNversion('3.5.1')
# ----1 -----Principal Component Analysis - PCA
source("https://bioconductor.org/biocLite.R")
biocLite("pcaMethods")
data_frame$Viscosity=c()
PCA=prcomp(data_frame)
lambda=PCA$sdev^2
#eigenvalues - bygger upp rummet
lambda
par(mfrow = c(1,1))
prop_vari = sprintf("%2.3f",lambda/sum(lambda)*100)
screeplot(res)
#Scores
plot(PCA$x[,1], PCA$x[,2], ylim=c(-0.3,0.6))
#----- 2 TRACE PLOTS-------
U_new=PCA$rotation
head(U)
#loading - which variables are correlated?
par(mfrow = c(1,2))
plot(U_new[,1], main="Traceplot, PC1")
plot(U_new[,2],main="Traceplot, PC2")
#------ 3 ---------
library("fastICA")
set.seed(12345)
#ICA
result_ICA = fastICA(data_frame, 2, fun = "logcosh", alpha = 1, row.norm = FALSE)
Wprime = result_ICA$K%*%result_ICA$W #matrix multiplication
# Traceplots
par(mfrow = c(2,2))
plot(U_new[,1], main="Traceplot orginal, PC1")
plot(U_new[,2],main="Traceplot original, PC2")
plot(Wprime[,1], main="Traceplot ICA1")
plot(Wprime[,2], main="Traceplot ICA2")
# Scores
par(mfrow = c(1,2))
res=prcomp(data_frame)
plot(res$x[,1], res$x[,2], ylim=c(-2,2), xlim=c(-0.3,3), xlab="PC1", ylab="PC2", main="Original PCA")
plot(result_ICA$S[,1], result_ICA$S[,2], xlab="PC1", ylab="PC2", main="ICA")
| /Lab2/Lab2_Assignment4.R | no_license | AliceVelander/TDDE01 | R | false | false | 1,354 | r | #ASSIGNMENT 4 ---------
setwd("~/Studier+Studentliv/HT19/TDDE01/Labb2")
data_frame=read.csv2("NIRSpectra.csv")
RGNversion('3.5.1')
# ----1 -----Principal Component Analysis - PCA
source("https://bioconductor.org/biocLite.R")
biocLite("pcaMethods")
data_frame$Viscosity=c()
PCA=prcomp(data_frame)
lambda=PCA$sdev^2
#eigenvalues - bygger upp rummet
lambda
par(mfrow = c(1,1))
prop_vari = sprintf("%2.3f",lambda/sum(lambda)*100)
screeplot(res)
#Scores
plot(PCA$x[,1], PCA$x[,2], ylim=c(-0.3,0.6))
#----- 2 TRACE PLOTS-------
U_new=PCA$rotation
head(U)
#loading - which variables are correlated?
par(mfrow = c(1,2))
plot(U_new[,1], main="Traceplot, PC1")
plot(U_new[,2],main="Traceplot, PC2")
#------ 3 ---------
library("fastICA")
set.seed(12345)
#ICA
result_ICA = fastICA(data_frame, 2, fun = "logcosh", alpha = 1, row.norm = FALSE)
Wprime = result_ICA$K%*%result_ICA$W #matrix multiplication
# Traceplots
par(mfrow = c(2,2))
plot(U_new[,1], main="Traceplot orginal, PC1")
plot(U_new[,2],main="Traceplot original, PC2")
plot(Wprime[,1], main="Traceplot ICA1")
plot(Wprime[,2], main="Traceplot ICA2")
# Scores
par(mfrow = c(1,2))
res=prcomp(data_frame)
plot(res$x[,1], res$x[,2], ylim=c(-2,2), xlim=c(-0.3,3), xlab="PC1", ylab="PC2", main="Original PCA")
plot(result_ICA$S[,1], result_ICA$S[,2], xlab="PC1", ylab="PC2", main="ICA")
|
#Install MSstats Packages
#a <- installed.packages()
#packages <- a[, 1]
install.packages(c("gplots", "lme4", "reshape", "reshape2",
"ggplot2", "ggrepel", "data.table", "dplyr", "tidyr",
"survival", "doSNOW", "snow", "foreach", 'stringr',
"randomForest", "minpack.lm"),
repos='http://cran.us.r-project.org')
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager", repos='http://cran.us.r-project.org')
BiocManager::install("MSstats")
#if (!is.element("MSstats",packages) || packageVersion("MSstats") < "3.3.11" ){
#directory <- tempdir()
#directory<-gsub("\\", "/", directory, fixed = TRUE)
#filename <- "MSstats_3.3.11.tar.gz"
#path <- file.path(directory, filename)
#MSstatsPackage <-normalizePath(path)
#download.file("http://www.stat.purdue.edu/~choi67/MSstats_3.3.11.tar.gz",path)
#install.packages(path, repos = NULL, type="source")
#}
| /pwiz_tools/Skyline/Executables/Tools/MSstats/tool-inf/InstallPackages.r | permissive | sneumann/pwiz | R | false | false | 958 | r | #Install MSstats Packages
#a <- installed.packages()
#packages <- a[, 1]
install.packages(c("gplots", "lme4", "reshape", "reshape2",
"ggplot2", "ggrepel", "data.table", "dplyr", "tidyr",
"survival", "doSNOW", "snow", "foreach", 'stringr',
"randomForest", "minpack.lm"),
repos='http://cran.us.r-project.org')
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager", repos='http://cran.us.r-project.org')
BiocManager::install("MSstats")
#if (!is.element("MSstats",packages) || packageVersion("MSstats") < "3.3.11" ){
#directory <- tempdir()
#directory<-gsub("\\", "/", directory, fixed = TRUE)
#filename <- "MSstats_3.3.11.tar.gz"
#path <- file.path(directory, filename)
#MSstatsPackage <-normalizePath(path)
#download.file("http://www.stat.purdue.edu/~choi67/MSstats_3.3.11.tar.gz",path)
#install.packages(path, repos = NULL, type="source")
#}
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/evaluate_model_target_prediction.R
\name{convert_expression_settings_evaluation}
\alias{convert_expression_settings_evaluation}
\title{Convert expression settings to correct settings format for evaluation of target gene prediction.}
\usage{
convert_expression_settings_evaluation(setting)
}
\arguments{
\item{setting}{A list containing the following elements: .$name: name of the setting; .$from: name(s) of the ligand(s) active in the setting of interest; .$diffexp: data frame or tibble containing at least 3 variables= $gene, $lfc (log fold change treated vs untreated) and $qval (fdr-corrected p-value)}
}
\value{
A list with following elements: $name, $from, $response. $response will be a gene-named logical vector indicating whether the gene's transcription was influenced by the active ligand(s) in the setting of interest.
}
\description{
\code{convert_expression_settings_evaluation} Converts expression settings to correct settings format for evaluation of target gene prediction.
}
\examples{
\dontrun{
settings = lapply(expression_settings_validation,convert_expression_settings_evaluation)
}
}
| /man/convert_expression_settings_evaluation.Rd | no_license | saeyslab/nichenetr | R | false | true | 1,186 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/evaluate_model_target_prediction.R
\name{convert_expression_settings_evaluation}
\alias{convert_expression_settings_evaluation}
\title{Convert expression settings to correct settings format for evaluation of target gene prediction.}
\usage{
convert_expression_settings_evaluation(setting)
}
\arguments{
\item{setting}{A list containing the following elements: .$name: name of the setting; .$from: name(s) of the ligand(s) active in the setting of interest; .$diffexp: data frame or tibble containing at least 3 variables= $gene, $lfc (log fold change treated vs untreated) and $qval (fdr-corrected p-value)}
}
\value{
A list with following elements: $name, $from, $response. $response will be a gene-named logical vector indicating whether the gene's transcription was influenced by the active ligand(s) in the setting of interest.
}
\description{
\code{convert_expression_settings_evaluation} Converts expression settings to correct settings format for evaluation of target gene prediction.
}
\examples{
\dontrun{
settings = lapply(expression_settings_validation,convert_expression_settings_evaluation)
}
}
|
#
# This is a Shiny web application. You can run the application by clicking
# the 'Run App' button above.
#
# Find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com/
#
setwd("~/Dropbox/LAURENT/COURS/EDHEC/LEARNING/SHINY")
source("generation.R")
source("trace_front.R")
library(ggplot2)
library(shiny)
library(class)
library(reshape2)
# Define UI for application that draws a histogram
ui <- fluidPage(
# Application title
titlePanel("Overfitting"),
# Sidebar with a slider input for number of bins
# sidebarLayout(
sidebarPanel(
sliderInput("size_n",
"Number of points:",
min = 1,
max = 1000,
value = 5000),
sliderInput("lambda",
"Complexity:",
min = 0,
max = 20,
value = 10),
tableOutput("perf"),
submitButton("Update View", icon("refresh"))
),
mainPanel(
plotOutput("front",width="80%")
# plotOutput("train",width="80%")
),
fluidRow(
column(width = 6,
plotOutput("train",width="80%")),
column(width = 6,
plotOutput("test",width="80%"))
)
# )
)
# Define server logic required to draw a histogram
server <- function(input, output) {
data <- reactive(generation(input$size_n))
K <- reactive(c(1:5,seq(8,20,by=2),seq(20,50,by=10),80,100,130,0.3*input$size_n))
KK <- reactive(rev(K())[input$lambda])
prev_app <- reactive(
if (length(KK())==0){
# rep(round(mean(as.numeric(data()$train[,3])-1)),nrow(data()$train))
rep(1,nrow(data()$train))
} else {
knn(data()$train[,1:2],data()$train[,1:2],
data()$train[,3],k=KK())
}
)
prev_test <- reactive(
if (length(KK())==0){
# rep(round(mean(as.numeric(data()$train[,3])-1)),nrow(data()$test))
rep(1,nrow(data()$test))
} else {
knn(data()$train[,1:2],data()$test[,1:2],
data()$train[,3],k=KK())
}
)
# browser()
output$perf <- renderTable(
data.frame(Err.app=mean(prev_app()!=data()$train[,3]),
Err.test=mean(prev_test()!=data()$test[,3]))
)
mod <- reactive(trace_front_gg(data()$train,methode="KNN",k=KK()))
output$train <- renderPlot({
train <- data()$train
# ggplot(train)+aes(x=X1,y=X2,color=Y)+geom_point()+theme_bw()+
# labs(title="Train")
mod()+geom_point(data=train,aes(x=X1,y=X2,color=Y))+labs(title="Train")
})
output$test <- renderPlot({
test <- data()$test
mod()+geom_point(data=test,aes(x=X1,y=X2,color=Y))+labs(title="Test")
# ggplot(test)+aes(x=X1,y=X2,color=Y)+geom_point()+theme_bw()+
# labs(title="Train")
})
output$front <- renderPlot(
mod()+labs(title="Classification rule")
)
}
# Run the application
shinyApp(ui = ui, server = server)
| /SHINY/overfitting_app.R | no_license | lrouviere/intro-machine-learning | R | false | false | 2,993 | r | #
# This is a Shiny web application. You can run the application by clicking
# the 'Run App' button above.
#
# Find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com/
#
setwd("~/Dropbox/LAURENT/COURS/EDHEC/LEARNING/SHINY")
source("generation.R")
source("trace_front.R")
library(ggplot2)
library(shiny)
library(class)
library(reshape2)
# Define UI for application that draws a histogram
ui <- fluidPage(
# Application title
titlePanel("Overfitting"),
# Sidebar with a slider input for number of bins
# sidebarLayout(
sidebarPanel(
sliderInput("size_n",
"Number of points:",
min = 1,
max = 1000,
value = 5000),
sliderInput("lambda",
"Complexity:",
min = 0,
max = 20,
value = 10),
tableOutput("perf"),
submitButton("Update View", icon("refresh"))
),
mainPanel(
plotOutput("front",width="80%")
# plotOutput("train",width="80%")
),
fluidRow(
column(width = 6,
plotOutput("train",width="80%")),
column(width = 6,
plotOutput("test",width="80%"))
)
# )
)
# Define server logic required to draw a histogram
server <- function(input, output) {
data <- reactive(generation(input$size_n))
K <- reactive(c(1:5,seq(8,20,by=2),seq(20,50,by=10),80,100,130,0.3*input$size_n))
KK <- reactive(rev(K())[input$lambda])
prev_app <- reactive(
if (length(KK())==0){
# rep(round(mean(as.numeric(data()$train[,3])-1)),nrow(data()$train))
rep(1,nrow(data()$train))
} else {
knn(data()$train[,1:2],data()$train[,1:2],
data()$train[,3],k=KK())
}
)
prev_test <- reactive(
if (length(KK())==0){
# rep(round(mean(as.numeric(data()$train[,3])-1)),nrow(data()$test))
rep(1,nrow(data()$test))
} else {
knn(data()$train[,1:2],data()$test[,1:2],
data()$train[,3],k=KK())
}
)
# browser()
output$perf <- renderTable(
data.frame(Err.app=mean(prev_app()!=data()$train[,3]),
Err.test=mean(prev_test()!=data()$test[,3]))
)
mod <- reactive(trace_front_gg(data()$train,methode="KNN",k=KK()))
output$train <- renderPlot({
train <- data()$train
# ggplot(train)+aes(x=X1,y=X2,color=Y)+geom_point()+theme_bw()+
# labs(title="Train")
mod()+geom_point(data=train,aes(x=X1,y=X2,color=Y))+labs(title="Train")
})
output$test <- renderPlot({
test <- data()$test
mod()+geom_point(data=test,aes(x=X1,y=X2,color=Y))+labs(title="Test")
# ggplot(test)+aes(x=X1,y=X2,color=Y)+geom_point()+theme_bw()+
# labs(title="Train")
})
output$front <- renderPlot(
mod()+labs(title="Classification rule")
)
}
# Run the application
shinyApp(ui = ui, server = server)
|
#####
#####This script is for creating 1,0 indicator matrices for the clusters produced by subsamp_wgcna.R
####
library("data.table")
library(pryr)
args <- commandArgs(TRUE)
exp_name <- as.character(args[1])
##create matrix from gene list
gene_f <- read.delim("/cbcb/lab/smount/ZCL/gene_list.txt", sep = "\t", header = FALSE)
genes <- as.character(gene_f$V1)
#############################################################
###construct master matrix as data.table
#############################################################
#make matrix
print("make matrix")
#con_mat <- matrix(0, nrow = length(genes), ncol = length(genes))
master_mat <- matrix(0, nrow = length(genes), ncol = length(genes))
#convert to data frame
print("make data frame")
master_df <- as.data.frame(master_mat)
rm(master_mat)
#set colnames
colnames(master_df) <- genes
master_df$g <- genes
print("make data table")
#convert to data table
master_dt <- data.table(master_df)
rm(master_df)
setkey(master_dt, g)
master_dt[, g := NULL]
#############################################################
###construct matrix as data.table
#############################################################
#make matrix
print("make matrix")
#con_mat <- matrix(0, nrow = length(genes), ncol = length(genes))
con_mat <- matrix(0, nrow = length(genes), ncol = length(genes))
print(dim(con_mat))
#convert to data frame
print("make data frame")
con_df <- as.data.frame(con_mat)
rm(con_mat)
#set colnames
colnames(con_df) <- genes
#con_df$g <- genes
print("make data table")
#convert to data table
con_dt <- data.table(con_df)
rm(con_df)
#setkey(con_dt, g)
#############################################################
#############################################################
#############################################################
for(i in seq(701,1000)){
print(i)
con_dt[,] = 0
con_dt[, g := genes]
setkey(con_dt, g)
exp_dir <- "/cbcb/project-scratch/ZCL/wgcna/consensus/"
#open cluster list
group_name <- paste(exp_dir, exp_name, "/sub_genes/sample", i, ".txt", sep = "")
group <- as.character(read.csv(group_name, header = FALSE)$V1)
print("filling matrix")
con_dt[group, (group) := 1]
print("done filling matrix")
print(mem_used())
con_dt[, g := NULL]
master_dt <- master_dt + con_dt
}
# print(sum(con_dt[, lapply(.SD, sum, na.rm=TRUE), .SDcols=genes]))
fwrite(master_dt, file = paste( "/cbcb/project2-scratch/ZCL/indmat/", exp_name,"/ind3.csv" ,sep = ""))
| /seq_inidicator_mat3.R | no_license | czawora/strawberry | R | false | false | 2,478 | r |
#####
#####This script is for creating 1,0 indicator matrices for the clusters produced by subsamp_wgcna.R
####
library("data.table")
library(pryr)
args <- commandArgs(TRUE)
exp_name <- as.character(args[1])
##create matrix from gene list
gene_f <- read.delim("/cbcb/lab/smount/ZCL/gene_list.txt", sep = "\t", header = FALSE)
genes <- as.character(gene_f$V1)
#############################################################
###construct master matrix as data.table
#############################################################
#make matrix
print("make matrix")
#con_mat <- matrix(0, nrow = length(genes), ncol = length(genes))
master_mat <- matrix(0, nrow = length(genes), ncol = length(genes))
#convert to data frame
print("make data frame")
master_df <- as.data.frame(master_mat)
rm(master_mat)
#set colnames
colnames(master_df) <- genes
master_df$g <- genes
print("make data table")
#convert to data table
master_dt <- data.table(master_df)
rm(master_df)
setkey(master_dt, g)
master_dt[, g := NULL]
#############################################################
###construct matrix as data.table
#############################################################
#make matrix
print("make matrix")
#con_mat <- matrix(0, nrow = length(genes), ncol = length(genes))
con_mat <- matrix(0, nrow = length(genes), ncol = length(genes))
print(dim(con_mat))
#convert to data frame
print("make data frame")
con_df <- as.data.frame(con_mat)
rm(con_mat)
#set colnames
colnames(con_df) <- genes
#con_df$g <- genes
print("make data table")
#convert to data table
con_dt <- data.table(con_df)
rm(con_df)
#setkey(con_dt, g)
#############################################################
#############################################################
#############################################################
for(i in seq(701,1000)){
print(i)
con_dt[,] = 0
con_dt[, g := genes]
setkey(con_dt, g)
exp_dir <- "/cbcb/project-scratch/ZCL/wgcna/consensus/"
#open cluster list
group_name <- paste(exp_dir, exp_name, "/sub_genes/sample", i, ".txt", sep = "")
group <- as.character(read.csv(group_name, header = FALSE)$V1)
print("filling matrix")
con_dt[group, (group) := 1]
print("done filling matrix")
print(mem_used())
con_dt[, g := NULL]
master_dt <- master_dt + con_dt
}
# print(sum(con_dt[, lapply(.SD, sum, na.rm=TRUE), .SDcols=genes]))
fwrite(master_dt, file = paste( "/cbcb/project2-scratch/ZCL/indmat/", exp_name,"/ind3.csv" ,sep = ""))
|
plot_seq <- function(x, format.labels = TRUE, ticks.on = 'auto', k = 1, cex.axis = 0.7, ...) {
ticks <- xts::axTicksByTime(x, ticks.on = ticks.on, k, format.labels = format.labels)
plot(head(as.vector(ticks), -1), y = as.vector(x),
xaxt = 'n', ...)
axis(side = 1, at = as.vector(ticks), labels = names(ticks),
cex.axis = cex.axis)
}
add_points <- function(x, ...) {
if (!is.xts(x))
stop("Not an xts object, sorry =/")
points(x = 1:nrow(x), y = as.vector(x),
pch = 21, cex = 2 * par('cex'), ...)
}
add_lines <- function(x, ...) {
ticks <- xts::axTicksByTime(x, ticks.on = 'days')
ticks <- 1:nrow(x)
lines(as.vector(ticks), as.vector(x), ...)
}
myPlot.decomposed.ts <- function(x, ...) {
xx <- x$x
if (is.null(xx))
xx <- with(x, if (type == "additive")
random + trend + seasonal
else random * trend * seasonal)
X <- cbind(
Observado = xx,
Tendencia = x$trend,
Estacional = x$seasonal,
Irregular = x$random
)
colnames(X) <- c("Observación", "Tendencia", "Estacional", "Irregular")
# colnames(X) <- c(expression(Z[t]), expression(hat(T)[t]), expression(hat(S)[t]), expression(hat(E)[t]))
plot(X, ...)
}
| /clases/R/plots.R | permissive | rodrigodelrosso/unrseries18 | R | false | false | 1,196 | r | plot_seq <- function(x, format.labels = TRUE, ticks.on = 'auto', k = 1, cex.axis = 0.7, ...) {
ticks <- xts::axTicksByTime(x, ticks.on = ticks.on, k, format.labels = format.labels)
plot(head(as.vector(ticks), -1), y = as.vector(x),
xaxt = 'n', ...)
axis(side = 1, at = as.vector(ticks), labels = names(ticks),
cex.axis = cex.axis)
}
add_points <- function(x, ...) {
if (!is.xts(x))
stop("Not an xts object, sorry =/")
points(x = 1:nrow(x), y = as.vector(x),
pch = 21, cex = 2 * par('cex'), ...)
}
add_lines <- function(x, ...) {
ticks <- xts::axTicksByTime(x, ticks.on = 'days')
ticks <- 1:nrow(x)
lines(as.vector(ticks), as.vector(x), ...)
}
myPlot.decomposed.ts <- function(x, ...) {
xx <- x$x
if (is.null(xx))
xx <- with(x, if (type == "additive")
random + trend + seasonal
else random * trend * seasonal)
X <- cbind(
Observado = xx,
Tendencia = x$trend,
Estacional = x$seasonal,
Irregular = x$random
)
colnames(X) <- c("Observación", "Tendencia", "Estacional", "Irregular")
# colnames(X) <- c(expression(Z[t]), expression(hat(T)[t]), expression(hat(S)[t]), expression(hat(E)[t]))
plot(X, ...)
}
|
print.FHtestrcc <-
function (x, digits = max(options()$digits - 4, 3), ...)
{
saveopt <- options(digits = digits)
on.exit(options(saveopt))
if (!inherits(x, "FHtestrcc"))
stop("Object is not of class FHtestrcc")
cat("\n")
writeLines(x$information)
cat("\n")
cat(x$data.name, sep = "\n")
cat("\n")
otmp <- x$obs
etmp <- x$exp
if (substr(x$information,2,3) == "Tr") {
temp <- cbind(x$n, otmp, etmp, otmp - etmp)
dimnames(temp) <- list(names(x$n), c("N", "Observed", "Expected", "O-E"))
print(temp)
}
if (substr(x$information,2,3)!="Tr") {
temp <- cbind(x$n, otmp, etmp, otmp - etmp, ((otmp - etmp)^2)/etmp, ((otmp - etmp)^2)/diag(as.matrix(x$var)))
dimnames(temp) <- list(names(x$n), c("N", "Observed", "Expected", "O-E", "(O-E)^2/E", "(O-E)^2/V"))
print(temp)
}
if (substr(x$information,2,2) == "K") {
cat("\nChisq= ", format(round(x$statistic, 1)), " on ",length(x$n)-1 ," degrees of freedom, p-value= ", format(signif (x$pvalue, digits)), "\n",sep="")
} else
cat("\nStatistic Z= ", format(round(x$statistic, 1)), ", p-value= ", format(signif(x$pvalue, digits)), "\n",sep="")
cat(x$alt.phrase, sep = "\n")
cat("\n")
invisible(x)
}
| /R/print.FHtestrcc.R | no_license | cran/FHtest | R | false | false | 1,229 | r | print.FHtestrcc <-
function (x, digits = max(options()$digits - 4, 3), ...)
{
saveopt <- options(digits = digits)
on.exit(options(saveopt))
if (!inherits(x, "FHtestrcc"))
stop("Object is not of class FHtestrcc")
cat("\n")
writeLines(x$information)
cat("\n")
cat(x$data.name, sep = "\n")
cat("\n")
otmp <- x$obs
etmp <- x$exp
if (substr(x$information,2,3) == "Tr") {
temp <- cbind(x$n, otmp, etmp, otmp - etmp)
dimnames(temp) <- list(names(x$n), c("N", "Observed", "Expected", "O-E"))
print(temp)
}
if (substr(x$information,2,3)!="Tr") {
temp <- cbind(x$n, otmp, etmp, otmp - etmp, ((otmp - etmp)^2)/etmp, ((otmp - etmp)^2)/diag(as.matrix(x$var)))
dimnames(temp) <- list(names(x$n), c("N", "Observed", "Expected", "O-E", "(O-E)^2/E", "(O-E)^2/V"))
print(temp)
}
if (substr(x$information,2,2) == "K") {
cat("\nChisq= ", format(round(x$statistic, 1)), " on ",length(x$n)-1 ," degrees of freedom, p-value= ", format(signif (x$pvalue, digits)), "\n",sep="")
} else
cat("\nStatistic Z= ", format(round(x$statistic, 1)), ", p-value= ", format(signif(x$pvalue, digits)), "\n",sep="")
cat(x$alt.phrase, sep = "\n")
cat("\n")
invisible(x)
}
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/toxEval.R
\docType{package}
\name{toxEval-package}
\alias{toxEval-package}
\title{Evaluation of measured concentration data using the ToxCast high-throughput
screening database or a user-defined set of concentration benchmarks}
\description{
\tabular{ll}{
Package: \tab toxEval\cr
Type: \tab Package\cr
License: \tab Unlimited for this package, dependencies have more restrictive licensing.\cr
Copyright: \tab This software is in the public domain because it contains materials
that originally came from the United States Geological Survey, an agency of
the United States Department of Interior. For more information, see the
official USGS copyright policy at
https://www.usgs.gov/visual-id/credit_usgs.html#copyright\cr
LazyLoad: \tab yes\cr
}
}
\details{
Initial code for studying ToxCast data in relation to measured concentrations.
}
\author{
Steven Corsi \email{srcorsi@usgs.gov}, Laura De Cicco \email{ldecicco@usgs.gov}
}
\keyword{ToxCast}
| /man/toxEval-package.Rd | permissive | limnoliver/toxEval | R | false | true | 1,026 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/toxEval.R
\docType{package}
\name{toxEval-package}
\alias{toxEval-package}
\title{Evaluation of measured concentration data using the ToxCast high-throughput
screening database or a user-defined set of concentration benchmarks}
\description{
\tabular{ll}{
Package: \tab toxEval\cr
Type: \tab Package\cr
License: \tab Unlimited for this package, dependencies have more restrictive licensing.\cr
Copyright: \tab This software is in the public domain because it contains materials
that originally came from the United States Geological Survey, an agency of
the United States Department of Interior. For more information, see the
official USGS copyright policy at
https://www.usgs.gov/visual-id/credit_usgs.html#copyright\cr
LazyLoad: \tab yes\cr
}
}
\details{
Initial code for studying ToxCast data in relation to measured concentrations.
}
\author{
Steven Corsi \email{srcorsi@usgs.gov}, Laura De Cicco \email{ldecicco@usgs.gov}
}
\keyword{ToxCast}
|
#########################################################################
#
# CHAPTER 2, EXAMPLE 1, Dental Study
#
# Explore overall and within-child patterns of correlation in the
# dental study data using R
#
#########################################################################
# You may need to install the reshape package to run this code
#
# > install.packages("reshape")
#
# We use the reshape function below to reconfigure the dental data to
# facilitate computation of summary statistics and plotting
# Read in the data -- they are in the form of one record per observation
# The gender indicator = 0 for girls and = 1 for boys
thedat <- read.table("dental.dat")
thedat <- thedat[,2:5] # remove the first column
colnames(thedat) <- c("id","age","distance","gender")
# Total number of individuals
m <- max(thedat$id)
#########################################################################
#
# POPULATION-AVERAGED PERSPECTIVE
#
#########################################################################
# Calculate girl- and boy-specific overall sample covariance and correlation
# matrices and inspect to get a sense of overall pattern of variation and
# correlation
# Reconfigure the data set from one record per observation to one record
# per child using the reshape function (so from "long" to "wide" format
# in R-speak)
thedat.wide <- reshape(thedat,v.names="distance",idvar="id",
timevar="age",direction="wide")
# Extract boys and girls separately
girlsdat <- thedat.wide[thedat.wide$gender==0,]
boysdat <- thedat.wide[thedat.wide$gender==1,]
# Numbers of girls and boys
m.girls <- nrow(girlsdat)
m.boys <- nrow(boysdat)
# Sample mean vectors -- we could instead fit a straight line to
# the data on all m = 27 children and calculate the means as the predicted
# values at 8, 10, 12, and 14 years
girls.mean <- apply(girlsdat[,3:6],2,mean)
boys.mean <- apply(boysdat[,3:6],2,mean)
#> round(girls.mean,3)
# distance.8 distance.10 distance.12 distance.14
# 21.182 22.227 23.091 24.091
#> round(boys.mean,3)
# distance.8 distance.10 distance.12 distance.14
# 22.875 23.812 25.719 27.469
# Calculate the sample covariance matrix and correlation matrix for
# each gender
girls.cov <- cov(girlsdat[,3:6])
boys.cov <- cov(boysdat[,3:6])
girls.corr <- cor(girlsdat[,3:6]) # or use cov2cor(girls.cov)
boys.corr <- cor(boysdat[,3:6])
#> round(girls.cov,3)
# distance.8 distance.10 distance.12 distance.14
#distance.8 4.514 3.355 4.332 4.357
#distance.10 3.355 3.618 4.027 4.077
#distance.12 4.332 4.027 5.591 5.466
#distance.14 4.357 4.077 5.466 5.941
#> round(boys.cov,3)
# distance.8 distance.10 distance.12 distance.14
#distance.8 6.017 2.292 3.629 1.612
#distance.10 2.292 4.562 2.194 2.810
#distance.12 3.629 2.194 7.032 3.241
#distance.14 1.612 2.810 3.241 4.349
#> round(girls.corr,3)
# distance.8 distance.10 distance.12 distance.14
#distance.8 1.000 0.830 0.862 0.841
#distance.10 0.830 1.000 0.895 0.879
#distance.12 0.862 0.895 1.000 0.948
#distance.14 0.841 0.879 0.948 1.000
#> round(boys.corr,3)
# distance.8 distance.10 distance.12 distance.14
#distance.8 1.000 0.437 0.558 0.315
#distance.10 0.437 1.000 0.387 0.631
#distance.12 0.558 0.387 1.000 0.586
#distance.14 0.315 0.631 0.586 1.000
# Center and scale to create scatterplot matrices using the scale and
# pairs functions
girls.sd <- sqrt(diag(girls.cov))
boys.sd <- sqrt(diag(boys.cov))
girls.centscale <- scale(girlsdat[,3:6],center=girls.mean,scale=girls.sd)
boys.centscale <- scale(boysdat[,3:6],center=boys.mean,scale=boys.sd)
# Now create the scatterplots
agelabs <- c("Age 8", "Age 10", "Age 12", "Age 14")
pdf("girlsscatter.pdf",width=8)
pairs(girls.centscale,label=agelabs,oma=c(5,5,5,5),main="Girls")
graphics.off()
pdf("boysscatter.pdf",width=8)
pairs(boys.centscale,label=agelabs,oma=c(5,5,5,5),main="Boys")
graphics.off()
# Assuming a common pattern of overall covariance/correlation for
# boys and girls (but different overall means), calculate the pooled
# covariance matrix and associated correlation matrix
cov.pooled <- ( (m.girls-1)*girls.cov + (m.boys-1)*boys.cov )/(m-2)
corr.pooled <- cov2cor(cov.pooled)
#> round(cov.pooled,3)
# distance.8 distance.10 distance.12 distance.14
#distance.8 5.415 2.717 3.910 2.710
#distance.10 2.717 4.185 2.927 3.317
#distance.12 3.910 2.927 6.456 4.131
#distance.14 2.710 3.317 4.131 4.986
#> round(corr.pooled,3)
# distance.8 distance.10 distance.12 distance.14
#distance.8 1.000 0.571 0.661 0.522
#distance.10 0.571 1.000 0.563 0.726
#distance.12 0.661 0.563 1.000 0.728
#distance.14 0.522 0.726 0.728 1.000
# Autocorrelations at lags 1, 2, and 3 under stationarity for girls
ac.lag1 <- cor(c(girls.centscale[,1],girls.centscale[,2],girls.centscale[,3]),
c(girls.centscale[,2],girls.centscale[,3],girls.centscale[,4]))
ac.lag2 <- cor(c(girls.centscale[,1],girls.centscale[,2]),
c(girls.centscale[,3],girls.centscale[,4]))
ac.lag3 <- cor(girls.centscale[,1],girls.centscale[,4])
#> round(c(ac.lag1,ac.lag2,ac.lag3),3)
#[1] 0.891 0.871 0.841
# Create lag plots for girls
pdf("girlslag.pdf",width=8)
par(mfrow=c(2,2))
plot(c(girls.centscale[,1],girls.centscale[,2],girls.centscale[,3]),
c(girls.centscale[,2],girls.centscale[,3],girls.centscale[,4]),
xlab="at age",ylab="at age + 2 years",xlim=c(-2,2),ylim=c(-2,2))
title("Lag 1 (2 years)")
plot(c(girls.centscale[,1],girls.centscale[,2]),
c(girls.centscale[,3],girls.centscale[,4]),xlab="at age",
ylab="at age + 4 years",xlim=c(-2,2),ylim=c(-2,2))
title("Lag 2 (4 years)")
plot(girls.centscale[,1],girls.centscale[,4],xlab="at age",
ylab="at age + 6 years",xlim=c(-2,2),ylim=c(-2,2))
title("Lag 3 (6 years)")
graphics.off()
# Autocorrelations at lags 1, 2, and 3 under stationarity for boys
# (could be plotted as above)
ac.lag1.boys <- cor(c(boys.centscale[,1],boys.centscale[,2],boys.centscale[,3]),
c(boys.centscale[,2],boys.centscale[,3],boys.centscale[,4]))
ac.lag2.boys <- cor(c(boys.centscale[,1],boys.centscale[,2]),
c(boys.centscale[,3],boys.centscale[,4]))
ac.lag3.boys <- cor(boys.centscale[,1],boys.centscale[,4])
#> round(c(ac.lag1.boys,ac.lag2.boys,ac.lag3.boys),3)
#[1] 0.470 0.594 0.315
#########################################################################
#
# SUBJECT-SPECIFIC PERSPECTIVE
#
#########################################################################
# Fit child-specific straight lines, and calculate child-specific
# residuals. Then calculate autocorrelations on the lagged residuals
# and plot
# Illustrate for boys -- same for girls (not shown)
# Put data for each boy in a list and fit simple linear regression to each,
# and extract the residuals and predicted values for each boy
boys.regdat <- thedat[thedat$gender==1,1:3]
boys.list <- as.list(1:m.boys)
for (i in 1:m.boys){
boys.list[[i]] <- boys.regdat[boys.regdat$id==m.girls+i,]
}
boys.fits <- lapply(boys.list,FUN=function(u){lm(distance ~ age,data=u)})
boys.residuals <- sapply(boys.fits,residuals)
boys.pred <- sapply(boys.fits,fitted.values)
# Assume that the within-child response variance (aggregate variance from
# realization and measurement error) is constant and the same for
# all boys. Estimate it by pooling the residuals across all boys
# and then scale the residuals by its square root (the estimated within-child
# response standard deviation). The degrees of freedom in the denominator
# are computed as the total number of observations minus the total
# number of parameters estimated.
boys.var <- sum(boys.residuals^2)/(m.boys*4-m.boys*2)
boys.stdresid <- boys.residuals/sqrt(boys.var)
# Make a standard residual plot of the pooled residuals (standardized
# residuals vs predicted values from all boys on the same plot)
pdf("boysresidplot.pdf",width=8)
matplot(boys.pred,boys.stdresid,xlab="predicted values",
ylab="standardized residual",ylim=c(-3,3),pch=rep(1,m.boys))
abline(h=0)
title("Pooled, Standardized Least Squares Residuals, Boys")
graphics.off()
# Calculate the estimated autocorrelation function
boys.lagresid <- t(boys.stdresid)
ac.resid1 <- cor(c(boys.lagresid[,1],boys.lagresid[,2],boys.lagresid[,3]),
c(boys.lagresid[,2],boys.lagresid[,3],boys.lagresid[,4]))
ac.resid2 <- cor(c(boys.lagresid[,1],boys.lagresid[,2]),
c(boys.lagresid[,3],boys.lagresid[,4]))
ac.resid3 <- cor(boys.lagresid[,1],boys.lagresid[,4])
#> round(c(ac.resid1,ac.resid2,ac.resid3),3)
#[1] -0.685 0.144 0.290
# Plot the pooled lagged residuals
pdf("boyslag.pdf",width=8)
par(mfrow=c(2,2))
plot(c(boys.lagresid[,1],boys.lagresid[,2],boys.lagresid[,3]),
c(boys.lagresid[,2],boys.lagresid[,3],boys.lagresid[,4]),xlab="at age",
ylab="at age + 2 years",xlim=c(-3,3),ylim=c(-3,3))
title("Lag 1 (2 years)")
plot(c(boys.lagresid[,1],boys.lagresid[,2]),c(boys.lagresid[,3],boys.lagresid[,4]),
xlab="at age",ylab="at age + 4 years",xlim=c(-3,3),ylim=c(-3,3))
title("Lag 2 (4 years)")
plot(boys.lagresid[,1],boys.lagresid[,4],xlab="at age",ylab="at age + 6 years",
xlim=c(-3,3),ylim=c(-3,3))
title("Lag 3 (6 years)")
graphics.off()
| /course/st790/examples/dental_corr.R | no_license | BowenNCSU/BowenNCSU.github.io | R | false | false | 9,871 | r | #########################################################################
#
# CHAPTER 2, EXAMPLE 1, Dental Study
#
# Explore overall and within-child patterns of correlation in the
# dental study data using R
#
#########################################################################
# You may need to install the reshape package to run this code
#
# > install.packages("reshape")
#
# We use the reshape function below to reconfigure the dental data to
# facilitate computation of summary statistics and plotting
# Read in the data -- they are in the form of one record per observation
# The gender indicator = 0 for girls and = 1 for boys
thedat <- read.table("dental.dat")
thedat <- thedat[,2:5] # remove the first column
colnames(thedat) <- c("id","age","distance","gender")
# Total number of individuals
m <- max(thedat$id)
#########################################################################
#
# POPULATION-AVERAGED PERSPECTIVE
#
#########################################################################
# Calculate girl- and boy-specific overall sample covariance and correlation
# matrices and inspect to get a sense of overall pattern of variation and
# correlation
# Reconfigure the data set from one record per observation to one record
# per child using the reshape function (so from "long" to "wide" format
# in R-speak)
thedat.wide <- reshape(thedat,v.names="distance",idvar="id",
timevar="age",direction="wide")
# Extract boys and girls separately
girlsdat <- thedat.wide[thedat.wide$gender==0,]
boysdat <- thedat.wide[thedat.wide$gender==1,]
# Numbers of girls and boys
m.girls <- nrow(girlsdat)
m.boys <- nrow(boysdat)
# Sample mean vectors -- we could instead fit a straight line to
# the data on all m = 27 children and calculate the means as the predicted
# values at 8, 10, 12, and 14 years
girls.mean <- apply(girlsdat[,3:6],2,mean)
boys.mean <- apply(boysdat[,3:6],2,mean)
#> round(girls.mean,3)
# distance.8 distance.10 distance.12 distance.14
# 21.182 22.227 23.091 24.091
#> round(boys.mean,3)
# distance.8 distance.10 distance.12 distance.14
# 22.875 23.812 25.719 27.469
# Calculate the sample covariance matrix and correlation matrix for
# each gender
girls.cov <- cov(girlsdat[,3:6])
boys.cov <- cov(boysdat[,3:6])
girls.corr <- cor(girlsdat[,3:6]) # or use cov2cor(girls.cov)
boys.corr <- cor(boysdat[,3:6])
#> round(girls.cov,3)
# distance.8 distance.10 distance.12 distance.14
#distance.8 4.514 3.355 4.332 4.357
#distance.10 3.355 3.618 4.027 4.077
#distance.12 4.332 4.027 5.591 5.466
#distance.14 4.357 4.077 5.466 5.941
#> round(boys.cov,3)
# distance.8 distance.10 distance.12 distance.14
#distance.8 6.017 2.292 3.629 1.612
#distance.10 2.292 4.562 2.194 2.810
#distance.12 3.629 2.194 7.032 3.241
#distance.14 1.612 2.810 3.241 4.349
#> round(girls.corr,3)
# distance.8 distance.10 distance.12 distance.14
#distance.8 1.000 0.830 0.862 0.841
#distance.10 0.830 1.000 0.895 0.879
#distance.12 0.862 0.895 1.000 0.948
#distance.14 0.841 0.879 0.948 1.000
#> round(boys.corr,3)
# distance.8 distance.10 distance.12 distance.14
#distance.8 1.000 0.437 0.558 0.315
#distance.10 0.437 1.000 0.387 0.631
#distance.12 0.558 0.387 1.000 0.586
#distance.14 0.315 0.631 0.586 1.000
# Center and scale to create scatterplot matrices using the scale and
# pairs functions
girls.sd <- sqrt(diag(girls.cov))
boys.sd <- sqrt(diag(boys.cov))
girls.centscale <- scale(girlsdat[,3:6],center=girls.mean,scale=girls.sd)
boys.centscale <- scale(boysdat[,3:6],center=boys.mean,scale=boys.sd)
# Now create the scatterplots
agelabs <- c("Age 8", "Age 10", "Age 12", "Age 14")
pdf("girlsscatter.pdf",width=8)
pairs(girls.centscale,label=agelabs,oma=c(5,5,5,5),main="Girls")
graphics.off()
pdf("boysscatter.pdf",width=8)
pairs(boys.centscale,label=agelabs,oma=c(5,5,5,5),main="Boys")
graphics.off()
# Assuming a common pattern of overall covariance/correlation for
# boys and girls (but different overall means), calculate the pooled
# covariance matrix and associated correlation matrix
cov.pooled <- ( (m.girls-1)*girls.cov + (m.boys-1)*boys.cov )/(m-2)
corr.pooled <- cov2cor(cov.pooled)
#> round(cov.pooled,3)
# distance.8 distance.10 distance.12 distance.14
#distance.8 5.415 2.717 3.910 2.710
#distance.10 2.717 4.185 2.927 3.317
#distance.12 3.910 2.927 6.456 4.131
#distance.14 2.710 3.317 4.131 4.986
#> round(corr.pooled,3)
# distance.8 distance.10 distance.12 distance.14
#distance.8 1.000 0.571 0.661 0.522
#distance.10 0.571 1.000 0.563 0.726
#distance.12 0.661 0.563 1.000 0.728
#distance.14 0.522 0.726 0.728 1.000
# Autocorrelations at lags 1, 2, and 3 under stationarity for girls
ac.lag1 <- cor(c(girls.centscale[,1],girls.centscale[,2],girls.centscale[,3]),
c(girls.centscale[,2],girls.centscale[,3],girls.centscale[,4]))
ac.lag2 <- cor(c(girls.centscale[,1],girls.centscale[,2]),
c(girls.centscale[,3],girls.centscale[,4]))
ac.lag3 <- cor(girls.centscale[,1],girls.centscale[,4])
#> round(c(ac.lag1,ac.lag2,ac.lag3),3)
#[1] 0.891 0.871 0.841
# Create lag plots for girls
pdf("girlslag.pdf",width=8)
par(mfrow=c(2,2))
plot(c(girls.centscale[,1],girls.centscale[,2],girls.centscale[,3]),
c(girls.centscale[,2],girls.centscale[,3],girls.centscale[,4]),
xlab="at age",ylab="at age + 2 years",xlim=c(-2,2),ylim=c(-2,2))
title("Lag 1 (2 years)")
plot(c(girls.centscale[,1],girls.centscale[,2]),
c(girls.centscale[,3],girls.centscale[,4]),xlab="at age",
ylab="at age + 4 years",xlim=c(-2,2),ylim=c(-2,2))
title("Lag 2 (4 years)")
plot(girls.centscale[,1],girls.centscale[,4],xlab="at age",
ylab="at age + 6 years",xlim=c(-2,2),ylim=c(-2,2))
title("Lag 3 (6 years)")
graphics.off()
# Autocorrelations at lags 1, 2, and 3 under stationarity for boys
# (could be plotted as above)
ac.lag1.boys <- cor(c(boys.centscale[,1],boys.centscale[,2],boys.centscale[,3]),
c(boys.centscale[,2],boys.centscale[,3],boys.centscale[,4]))
ac.lag2.boys <- cor(c(boys.centscale[,1],boys.centscale[,2]),
c(boys.centscale[,3],boys.centscale[,4]))
ac.lag3.boys <- cor(boys.centscale[,1],boys.centscale[,4])
#> round(c(ac.lag1.boys,ac.lag2.boys,ac.lag3.boys),3)
#[1] 0.470 0.594 0.315
#########################################################################
#
# SUBJECT-SPECIFIC PERSPECTIVE
#
#########################################################################
# Fit child-specific straight lines, and calculate child-specific
# residuals. Then calculate autocorrelations on the lagged residuals
# and plot
# Illustrate for boys -- same for girls (not shown)
# Put data for each boy in a list and fit simple linear regression to each,
# and extract the residuals and predicted values for each boy
boys.regdat <- thedat[thedat$gender==1,1:3]
boys.list <- as.list(1:m.boys)
for (i in 1:m.boys){
boys.list[[i]] <- boys.regdat[boys.regdat$id==m.girls+i,]
}
boys.fits <- lapply(boys.list,FUN=function(u){lm(distance ~ age,data=u)})
boys.residuals <- sapply(boys.fits,residuals)
boys.pred <- sapply(boys.fits,fitted.values)
# Assume that the within-child response variance (aggregate variance from
# realization and measurement error) is constant and the same for
# all boys. Estimate it by pooling the residuals across all boys
# and then scale the residuals by its square root (the estimated within-child
# response standard deviation). The degrees of freedom in the denominator
# are computed as the total number of observations minus the total
# number of parameters estimated.
boys.var <- sum(boys.residuals^2)/(m.boys*4-m.boys*2)
boys.stdresid <- boys.residuals/sqrt(boys.var)
# Make a standard residual plot of the pooled residuals (standardized
# residuals vs predicted values from all boys on the same plot)
pdf("boysresidplot.pdf",width=8)
matplot(boys.pred,boys.stdresid,xlab="predicted values",
ylab="standardized residual",ylim=c(-3,3),pch=rep(1,m.boys))
abline(h=0)
title("Pooled, Standardized Least Squares Residuals, Boys")
graphics.off()
# Calculate the estimated autocorrelation function
boys.lagresid <- t(boys.stdresid)
ac.resid1 <- cor(c(boys.lagresid[,1],boys.lagresid[,2],boys.lagresid[,3]),
c(boys.lagresid[,2],boys.lagresid[,3],boys.lagresid[,4]))
ac.resid2 <- cor(c(boys.lagresid[,1],boys.lagresid[,2]),
c(boys.lagresid[,3],boys.lagresid[,4]))
ac.resid3 <- cor(boys.lagresid[,1],boys.lagresid[,4])
#> round(c(ac.resid1,ac.resid2,ac.resid3),3)
#[1] -0.685 0.144 0.290
# Plot the pooled lagged residuals
pdf("boyslag.pdf",width=8)
par(mfrow=c(2,2))
plot(c(boys.lagresid[,1],boys.lagresid[,2],boys.lagresid[,3]),
c(boys.lagresid[,2],boys.lagresid[,3],boys.lagresid[,4]),xlab="at age",
ylab="at age + 2 years",xlim=c(-3,3),ylim=c(-3,3))
title("Lag 1 (2 years)")
plot(c(boys.lagresid[,1],boys.lagresid[,2]),c(boys.lagresid[,3],boys.lagresid[,4]),
xlab="at age",ylab="at age + 4 years",xlim=c(-3,3),ylim=c(-3,3))
title("Lag 2 (4 years)")
plot(boys.lagresid[,1],boys.lagresid[,4],xlab="at age",ylab="at age + 6 years",
xlim=c(-3,3),ylim=c(-3,3))
title("Lag 3 (6 years)")
graphics.off()
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/soccerVelocity.R
\name{soccerVelocity}
\alias{soccerVelocity}
\title{Compute instantaneous distance, speed and direction from x,y-coordinates}
\usage{
soccerVelocity(dat)
}
\arguments{
\item{dat}{dataframe containing unnormalised x,y-coordinates `x` and `y`, time variable `t`, and identifier `id`}
}
\value{
a dataframe
}
\description{
Compute instantaneous distance moved (in metres), speed (in metres per second), and direction (in radians) between subsequent frames in a dataframe of x,y-coordinates.
}
\examples{
# calculate distance, speed, and direction for tromso dataset
soccerVelocity(tromso)
}
| /man/soccerVelocity.Rd | no_license | Bustami/soccermatics | R | false | true | 684 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/soccerVelocity.R
\name{soccerVelocity}
\alias{soccerVelocity}
\title{Compute instantaneous distance, speed and direction from x,y-coordinates}
\usage{
soccerVelocity(dat)
}
\arguments{
\item{dat}{dataframe containing unnormalised x,y-coordinates `x` and `y`, time variable `t`, and identifier `id`}
}
\value{
a dataframe
}
\description{
Compute instantaneous distance moved (in metres), speed (in metres per second), and direction (in radians) between subsequent frames in a dataframe of x,y-coordinates.
}
\examples{
# calculate distance, speed, and direction for tromso dataset
soccerVelocity(tromso)
}
|
#*****************************************************************#
# Model diagnostic Fire Ignitions #
# Deserts and xeric shrublands #
#*****************************************************************#
# This code is grouped into two steps:
# -Step 1: Data exploration and processing
# - Data exploration and preparation
# - Check relationships between the response variable and the explanatory variables
# - Check collinearity
# -Step 2: Fitting models
# - Fit linear model
# - Fit (weighted) mixed effect model
# - find best random structure
# - find best fixed structure
# - backward selection
# - Fit generalized additive model
#clean workspace
rm(list=ls(all=TRUE))
#read libraries
library(RColorBrewer) # for color ramps
library(nlme) #for gls and lme
library(lme4) #for glmer
library(data.table)
library(raster)
library(ggplot2)
library(rcompanion) #for plotNormalHistogram
library(piecewiseSEM) # to calculate R^2
library(MASS) # for stepAIC()
library(mgcv) #for GAM
#to save data to excel
library(devtools)
library(Rcpp)
library(openxlsx)
#enhance memory limit (only if necessary)
# Check memory limit
memory.limit()
# Change memory limit
memory.limit(Size= 12000)
memory.size(max = 7500)
#Define color ramp for plots
display.brewer.all(n=11,type="div"); title(main = "Divergent color palette")
mycolors <- colorRampPalette(brewer.pal(8, "Spectral"))(10)
#set path
setwd("~/Github/GLM-Drivers-of-Fire/Data")
#read data for presence data only
GlobalDriversFire.dt<-fread("~/GitHub/GLM-Drivers-of-Fire/Processed Data/GFED4.0_Presence2003-2016.csv", header = T, sep = ",", dec = ".")
#Filter data on required biome and drop the year 2016, as the data is incomplete for the data set distance to urban population
Data<-GlobalDriversFire.dt[Year!=2016 & Biomes==13,]
#We only want data were fires are actually possible, so no bare lands
plot(rasterFromXYZ(GlobalDriversFire.dt[,.(x, y,as.numeric(LC_Bare))]),main= "Fire Ignitions ",col=mycolors)
Data<-Data[LC_Bare!=1]
#check for missing values
colSums(is.na(Data))
Data <- na.omit(Data) #drop data with missing values
# Transform to factors
Data[,c("Month","GFED_Regions","IDL_Layer","Biomes","Continent")] <- lapply(Data[,c("Month","GFED_Regions","IDL_Layer","Biomes","Continent")], factor)
str(Data)
#rename levels of IDL_Layer
levels(Data$IDL_Layer) <- c("IDL","No_IDL")
#-------
#Step1 Data exploration and processing
#Get an overview of the data
head(Data)
names(Data)
str(Data)
colSums(Data!=0)
colSums(Data==0)
#plot some categorical variables and the response variable fire Ignitions
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(Ignitions))]),main= "Fire Ignitions ",col=mycolors)
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(GFED_Regions))]),main= "Fire Ignitions ",col=mycolors)
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(Continent))]),main= "Fire Ignitions ",col=mycolors)
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(IDL_Layer))]),main= "Fire Ignitions ",col=mycolors)
#view fire Ignitions indigenous vs none indigenous land
plot(rasterFromXYZ(Data[IDL_Layer=="IDL",.(x, y,as.numeric(Ignitions))]),main= "IDL ",col=mycolors)
plot(rasterFromXYZ(Data[IDL_Layer=="No_IDL",.(x, y,as.numeric(Ignitions))]),main= "No IDL ",col=mycolors)
#View histogram/distribution of response variable and transform if necessary
#Ignitions
summary(Data$Ignitions)
range(Data$Ignitions)
hist(Data$Ignitions) #right skewed
plotNormalHistogram(sqrt(Data$Ignitions))
plotNormalHistogram(sign(Data$Ignitions)*abs(Data$Ignitions)^(1/3))
plotNormalHistogram(log(Data$Ignitions))
plotNormalHistogram(log(Data$Ignitions))
plotNormalHistogram(log10(Data$Ignitions))
Data$Ignitions <- (sign(Data$Ignitions)*abs(Data$Ignitions)^(1/3))
plotNormalHistogram(Data$Ignitions)
#View histogram/distribution of explanatory variable and transform if necessary (only if extremly right skewed)
#Nr wet days
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(NrWetDays))]),main= "Nr Wet Days ",col=mycolors)
plotNormalHistogram(Data$NrWetDays)
range(Data$NrWetDays)
#DTR
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(DTR))]),main= "DTR ",col=mycolors)
range(Data$DTR)
plotNormalHistogram(Data$DTR)
#TMax
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(TMax))]),main= "Tmax ",col=mycolors)
range(Data$TMax)
plotNormalHistogram(Data$TMax)
#PET
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(PET))]),main= "PET ",col=mycolors)
range(Data$PET)
plotNormalHistogram(Data$PET)
#Precipitation
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(Precipitation))]),main= "Precipitation",col=mycolors)
range(Data$Precipitation)
plotNormalHistogram(Data$Precipitation) #might need to be transformed
plotNormalHistogram(sqrt(Data$Precipitation))
plotNormalHistogram(log(Data$Precipitation+1))
plotNormalHistogram(log10(Data$Precipitation+1))
#Data$Precipitation <- log(Data$Precipitation+1)
#plotNormalHistogram(Data$Precipitation)
#LAI
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(LAI))]),main= "LAI ",col=mycolors)
plotNormalHistogram(Data$LAI)
range(Data$LAI)
plotNormalHistogram(sqrt(Data$LAI))
plotNormalHistogram(log(Data$LAI))
#fPAR
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(fPAR))]),main= "fPAR ",col=mycolors)
plotNormalHistogram(Data$fPAR)
range(Data$fPAR)
#LC Tree
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(LC_Tree))]),main= "Landcover Tree ",col=mycolors)
plotNormalHistogram(Data$LC_Tree) # might still be alright
range(Data$LC_Tree)
plotNormalHistogram(sqrt(Data$LC_Tree))
plotNormalHistogram(sign(Data$LC_Tree)*abs(Data$LC_Tree)^(1/3))
plotNormalHistogram(log(Data$LC_Tree+1))
#LC Shrub
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(LC_Shrub))]),main= "Landcover Shrub ",col=mycolors)
plotNormalHistogram(Data$LC_Shrub) # might still be alright
range(Data$LC_Shrub)
plotNormalHistogram(sqrt(Data$LC_Shrub))
plotNormalHistogram(sign(Data$LC_Shrub)*abs(Data$LC_Shrub)^(1/3))
plotNormalHistogram(log(Data$LC_Shrub+1))
#Data$LC_Shrub <- (sign(Data$LC_Shrub)*abs(Data$LC_Shrub)^(1/3))
#LC Crop
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(LC_Crop))]),main= "Landcover Crop ",col=mycolors)
plotNormalHistogram(Data$LC_Crop)
range(Data$LC_Crop)
#LC Herbs
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(LC_Herbs))]),main= "Landcover Herbs",col=mycolors)
plotNormalHistogram(Data$LC_Herbs)
range(Data$LC_Herbs)
#Pop Density
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(PopDensity))]),main= "Pop density ",col=mycolors)
plotNormalHistogram(Data$PopDensity) #extremly right skewed
range(Data$PopDensity)
#possible transformations
plotNormalHistogram(log(Data$PopDensity+1))
plotNormalHistogram(log10(Data$PopDensity+1))
#transform data
Data$PopDensity<- log(Data$PopDensity+1)
setnames(Data, old="PopDensity", new=c("PopDensity_log")) #rename column
#Road Density
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(RoadDensity))]),main= "Road density ",col=mycolors)
plotNormalHistogram(Data$RoadDensity) #extremly right skewed
range(Data$RoadDensity)
#possible transformations
plotNormalHistogram(sqrt(Data$RoadDensity))
plotNormalHistogram(sign(Data$RoadDensity)*abs(Data$RoadDensity)^(1/3))
plotNormalHistogram(log(Data$RoadDensity+1))
plotNormalHistogram(log10(Data$RoadDensity+1))
#transform data
Data$RoadDensity <- sqrt(Data$RoadDensity)
setnames(Data, old="RoadDensity", new=c("RoadDensity_sqrt"))
#Distance to urban population
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(DistUrbPop))]),main= "Distance to urban pop ",col=mycolors)
plotNormalHistogram(Data$DistUrbPop) #might be still alright
range(Data$DistUrbPop)
#possible transformations
plotNormalHistogram(sqrt(Data$DistUrbPop))
plotNormalHistogram(log(Data$DistUrbPop+1))
#Explore data.
#View the relationship of all continuous explanatory variables to the response variable
attach(Data)
par(mfrow = c(2,2))
plot(Ignitions~TMax)
plot(Ignitions~DTR)
plot(Ignitions~NrWetDays)
plot(Ignitions~Precipitation)
plot(Ignitions~PET)
plot(Ignitions~RoadDensity_sqrt)
plot(Ignitions~PopDensity_log)
plot(Ignitions~DistUrbPop)
plot(Ignitions~LC_Shrub)
plot(Ignitions~LC_Tree)
plot(Ignitions~LC_Crop)
plot(Ignitions~LC_Herbs)
plot(Ignitions~LAI)
plot(Ignitions~fPAR)
detach(Data)
dev.off()
#View the relationship of all categorical explanatory variables to the response variable
barplot(table(Data$IDL_Layer), ylab = "Frequency", main = "IDL") #heavily skewed towards No IDL
boxplot( Ignitions ~ interaction(IDL_Layer,Month), data=Data )
boxplot( Ignitions ~ interaction(IDL_Layer,Year), data=Data )
boxplot( Ignitions ~ interaction(IDL_Layer,Continent), data=Data )
boxplot( Ignitions ~ interaction(IDL_Layer,GFED_Regions), data=Data )
boxplot( Ignitions ~ IDL_Layer, data=Data )
boxplot( Ignitions ~ Month, data=Data )
#Check for correlations
cor(Data[,c(6:19,28)], use="pairwise.complete.obs")>0.7
#Correlations
#PopDensity_log with LC_Crop, TMax with PET and LAI with fPAR, drop LAI and PET and LC_Crop
#Now we scale all explanatory variables to better compare estimates of the models
Data[,c(6:19,28)] <- lapply(Data[,c(6:19,28)], scale)
#------------------
#Step 2 Fitting models
#1 linear model
f2<-formula(Ignitions~IDL_Layer*LC_Tree+IDL_Layer*LC_Shrub+IDL_Layer*LC_Herbs
+IDL_Layer*DTR+IDL_Layer*TMax+IDL_Layer*fPAR+IDL_Layer*Precipitation+ IDL_Layer*NrWetDays+IDL_Layer*RoadDensity_sqrt+IDL_Layer*PopDensity_log+IDL_Layer*DistUrbPop)
#linear model, considering quadratic terms
f<-formula(Ignitions~IDL_Layer*LC_Tree+IDL_Layer*LC_Shrub+IDL_Layer*LC_Herbs
+IDL_Layer*DTR+IDL_Layer*TMax+IDL_Layer*fPAR+IDL_Layer*Precipitation+IDL_Layer*NrWetDays +IDL_Layer*RoadDensity_sqrt+IDL_Layer*PopDensity_log+IDL_Layer*DistUrbPop
+IDL_Layer*I(TMax^2)+IDL_Layer*I(DTR^2)+IDL_Layer*I(fPAR^2)+ IDL_Layer*I(LC_Tree^2) +IDL_Layer*I(LC_Shrub^2)+IDL_Layer*I(LC_Herbs^2)+IDL_Layer*I(Precipitation^2) +IDL_Layer*I(NrWetDays^2)
+IDL_Layer*I(RoadDensity_sqrt^2)+IDL_Layer*I(PopDensity_log^2)+IDL_Layer*I(DistUrbPop^2)
)
LM <-lm(f2, data = Data)
LM2<-lm(f, data= Data)
summary(LM)
summary(LM2)
AIC(LM)
AIC(LM2) # adding quadratic terms improves the results
#find the best LM with automatic model selection with StepAIC
LMfinal<-stepAIC(LM2)
summary(LMfinal)
AIC(LMfinal)
#validate model
par(mfrow = c(2,2))
plot(LMfinal)
dev.off()
plot(LMfinal,which=1)
#Make a histogram of the residuals to verify normality.
hist(residuals(LMfinal))
#-> Homogenity might be violated (trend in data) but looks ok, normality of the residuals looks ok, no outliers
#save the complete model output
#set path
setwd("~/GitHub/GLM-Drivers-of-Fire/Output/Model Results")
saveRDS(LMfinal, "LMBiome13Ignitions.rds")
#save linear model statistical output for thesis
setwd("~/GitHub/GLM-Drivers-of-Fire/Output/Statistic LM Results")
lmOut(LMfinal, file="my-results.xlsx")
#end 1 linear model
#*********************#
#2 Best (weighted) random/mixed effects model
#Generalised least squares (GLS) model
#needed to compare AIC in further analysis; identical to the linear model
GLM<-gls(f, data = Data)
AIC(GLM)
summary(GLM)
plot(GLM)
#1 Find a good random structure
#GLS allows for / to deal with heterogeneity in the model. This is essentially a weighted linear regression.
#Find a good variance structure
#varexp
vf1<- varExp(form =~fPAR)
M.gls1 <- gls(f, data =Data,
weights = vf1)
vf2<- varExp(form =~TMax)
M.gls2 <- gls(f, data =Data,
weights = vf2)
vf3<- varExp(form =~Precipitation)
M.gls3 <- gls(f, data =Data,
weights = vf3)
vf5<- varExp(form =~LC_Tree)
M.gls5 <- gls(f, data =Data,
weights = vf5)
vf6<- varExp(form =~RoadDensity_sqrt)
M.gls6 <- gls(f, data =Data,
weights = vf6)
vf7<- varExp(form =~PopDensity_log)
M.gls7 <- gls(f, data =Data,
weights = vf7)
vf8<- varExp(form =~LC_Shrub)
M.gls8 <- gls(f, data =Data,
weights = vf8)
vf9<- varExp(form =~LC_Herbs)
M.gls9 <- gls(f, data =Data,
weights = vf9)
vf10<- varExp(form =~DistUrbPop)
M.gls10 <- gls(f, data =Data,
weights = vf10)
AIC(GLM,M.gls1,M.gls2,M.gls3,M.gls5,M.gls6,M.gls7, M.gls8, M.gls9, M.gls10)
#plot residuals with best AIC and check whether the effect of heterogeneity decreased
plot(GLM)
plot(M.gls1, main="M.gls1")
plot(M.gls2, main="M.gls2")
plot(M.gls3, main="M.gls3")
plot(M.gls5, main="M.gls5")
plot(M.gls6, main="M.gls6")
plot(M.gls7, main="M.gls7")
plot(M.gls8, main="M.gls8")
plot(M.gls9, main="M.gls9")
plot(M.gls10, main="M.gls10")
#combined variance structure
vf11 <- varComb(
varExp(form =~RoadDensity_sqrt),
varExp(form =~PopDensity_log),
varExp(form =~DistUrbPop),
varExp(form =~fPAR))
M.glsw <- gls(f, data =Data,
weights = vf11)
AIC(GLM,M.gls2,M.gls3,M.gls5,M.gls6,M.gls7, M.gls8, M.gls9, M.gls10, M.glsw)
#check homogeneity of variance again
summary(M.glsw)
plot(M.glsw)
#End find a good variance structure; homogenity looks good now
#linear mixed effect models
#consider further random effects like nested effects
#effect of spatial and temporal autocorellation are unfortunately not feasible with the amount of data we have
#consider the nested effect of GFED Regions
start_time <- Sys.time()
M.glswc <- lme(f, data =Data,
random = ~ 1 |GFED_Regions, weights = vf11 )
end_time <- Sys.time()
start_time-end_time
AIC(GLM,M.gls2,M.gls3,M.gls5,M.gls6,M.gls7, M.gls8, M.gls9, M.gls10, M.glsw,M.glswc) #considerably better
summary(M.glswc)
plot(M.glswc)
#Best Model considers the nested effect of GFED Regions
#2 Find a good fixed term structure via backward selection
#to compare fixed structure we need to we need to change the method to "ML"
#mixed effect model with best random structure with ML instead of RML
Mfix.glswc <- lme(f, data =Data, method="ML",
random = ~ 1 |GFED_Regions, weights = vf11 )
summary(Mfix.glswc)
#drop terms that are not significant step by step and check whether this decreases the AIC
#drop IDL_LayerNo_IDL:I(DistUrbPop^2) & IDL_LayerNo_IDL:I(RoadDensity_sqrt^2) & IDL_LayerNo_IDL:I(fPAR^2) & IDL_LayerNo_IDL:DistUrbPop
ffix1<-formula(Ignitions~IDL_Layer*LC_Tree+IDL_Layer*LC_Shrub+IDL_Layer*LC_Herbs
+IDL_Layer*DTR+IDL_Layer*TMax+IDL_Layer*fPAR+IDL_Layer*Precipitation+IDL_Layer*NrWetDays +IDL_Layer*RoadDensity_sqrt+IDL_Layer*PopDensity_log+DistUrbPop
+IDL_Layer*I(TMax^2)+IDL_Layer*I(DTR^2)+I(fPAR^2)+ IDL_Layer*I(LC_Tree^2) +IDL_Layer*I(LC_Shrub^2)+IDL_Layer*I(LC_Herbs^2)+IDL_Layer*I(Precipitation^2) +IDL_Layer*I(NrWetDays^2)
+I(RoadDensity_sqrt^2)+IDL_Layer*I(PopDensity_log^2)+I(DistUrbPop^2)
)
Mfix.glswc1 <- lme(ffix1, data =Data, method="ML",
random = ~ 1 |GFED_Regions, weights = vf11 )
#compare AICs
AIC(Mfix.glswc, Mfix.glswc1)
summary(Mfix.glswc1)
#drop DistUrbPop
ffix2<-formula(Ignitions~IDL_Layer*LC_Tree+IDL_Layer*LC_Shrub+IDL_Layer*LC_Herbs
+IDL_Layer*DTR+IDL_Layer*TMax+IDL_Layer*fPAR+IDL_Layer*Precipitation+IDL_Layer*NrWetDays +IDL_Layer*RoadDensity_sqrt+IDL_Layer*PopDensity_log
+IDL_Layer*I(TMax^2)+IDL_Layer*I(DTR^2)+I(fPAR^2)+ IDL_Layer*I(LC_Tree^2) +IDL_Layer*I(LC_Shrub^2)+IDL_Layer*I(LC_Herbs^2)+IDL_Layer*I(Precipitation^2) +IDL_Layer*I(NrWetDays^2)
+I(RoadDensity_sqrt^2)+IDL_Layer*I(PopDensity_log^2)+I(DistUrbPop^2)
)
Mfix.glswc2 <- lme(ffix2, data =Data, method="ML",
random = ~ 1 |GFED_Regions, weights = vf11 )
AIC(Mfix.glswc, Mfix.glswc1, Mfix.glswc2)
summary(Mfix.glswc2)
#final model
LME.final.ML<-Mfix.glswc2
#now that we found the model with the best random and fixed structure -> refit it with REML estimation
LME.final<-lme(ffix2, data =Data, method="REML",
random = ~ 1 |GFED_Regions, weights = vf11 )
summary(LME.final)
AIC(LME.final)
#Model validation
#Plot (standardised) residuals against fitted values to assess homogeneity
plot(LME.final)
#Make a histogram of the residuals to verify normality.
plotNormalHistogram(residuals(LME.final))
#-> Homogenity and normality of the residuals looks good. Model with the best AIC as well
#Calculate R^2
rsquared(LME.final)
#save linear model output for thesis
lme_coef <- summary(LME.final)$tTable
#round coeffiecents
formatter <- function(x) format(round(x,5),nsmall=5)
Variables<-formatter(lme_coef)
#get variable names
lme_names<- variable.names(lm(ffix2,data = Data))
#combine data
lme_info <- data.table(lme_names,Variables)
lme_info
#get lme formula
LME.final$call
#set path
setwd("~/GitHub/GLM-Drivers-of-Fire/Output/Statistic LME Results")
#save output
header_style <- createStyle(halign = "center", textDecoration = "bold")
wb <- createWorkbook()
addWorksheet(wb, "Biome")
writeData(wb, "Biome", lme_info, headerStyle = header_style)
freezePane(wb, "Biome", firstRow = TRUE)
setColWidths(wb, "Biome", cols = 1:ncol(lme_info), widths = "auto")
saveWorkbook(wb, file = "my-results.xlsx", overwrite = TRUE)
#save the complete model output
#set path
setwd("~/GitHub/GLM-Drivers-of-Fire/Output/Model Results")
saveRDS(M.glswc, "lmeBiome13Ignitions.rds")
#test<- readRDS("lmeBiome7.rds")
#End 2 Best (weighted) random/mixed effects model
#*********************'
#3 Generalized additive model (GAM)
sf<-formula(Ignitions~IDL_Layer+s(LC_Tree)+s(LC_Shrub)+s(LC_Herbs)
+s(DTR)+s(TMax)+s(Precipitation)+s(NrWetDays)
+s(fPAR)+s(PopDensity_log)+s(RoadDensity_sqrt)+s(DistUrbPop))
GAM <- gam(sf,data = Data)
summary(GAM)
GAM.info<-summary(GAM)
GAM.linear<-GAM.info$p.table
GAM.smooth<-GAM.info$s.table
plot(GAM)
#set path
setwd("~/GitHub/GLM-Drivers-of-Fire/Output/Statistic GAM Results")
#save output
header_style <- createStyle(halign = "center", textDecoration = "bold")
wb <- createWorkbook()
addWorksheet(wb, "Biome")
addWorksheet(wb, "Biomesmooth")
writeData(wb, "Biome", GAM.linear, headerStyle = header_style)
writeData(wb, "Biomesmooth", GAM.smooth, headerStyle = header_style)
freezePane(wb, "Biome", firstRow = TRUE)
setColWidths(wb, "Biome", cols = 1:ncol(GAM.linear), widths = "auto")
setColWidths(wb, "Biomesmooth", cols = 1:ncol(GAM.smooth), widths = "auto")
saveWorkbook(wb, file = "my-results.xlsx", overwrite = TRUE)
#save the complete model output
#set path
setwd("~/GitHub/GLM-Drivers-of-Fire/Output/Model Results")
saveRDS(GAM, "GAMBiome13Ignitions.rds")
#test<- readRDS("lmeBiome7.rds")
| /Code analysis biomes/Deserts and xeric shrublands Ignitions.R | no_license | PatiBent/LME_Drivers_of_Fire | R | false | false | 18,356 | r | #*****************************************************************#
# Model diagnostic Fire Ignitions #
# Deserts and xeric shrublands #
#*****************************************************************#
# This code is grouped into two steps:
# -Step 1: Data exploration and processing
# - Data exploration and preparation
# - Check relationships between the response variable and the explanatory variables
# - Check collinearity
# -Step 2: Fitting models
# - Fit linear model
# - Fit (weighted) mixed effect model
# - find best random structure
# - find best fixed structure
# - backward selection
# - Fit generalized additive model
#clean workspace
rm(list=ls(all=TRUE))
#read libraries
library(RColorBrewer) # for color ramps
library(nlme) #for gls and lme
library(lme4) #for glmer
library(data.table)
library(raster)
library(ggplot2)
library(rcompanion) #for plotNormalHistogram
library(piecewiseSEM) # to calculate R^2
library(MASS) # for stepAIC()
library(mgcv) #for GAM
#to save data to excel
library(devtools)
library(Rcpp)
library(openxlsx)
#enhance memory limit (only if necessary)
# Check memory limit
memory.limit()
# Change memory limit
memory.limit(Size= 12000)
memory.size(max = 7500)
#Define color ramp for plots
display.brewer.all(n=11,type="div"); title(main = "Divergent color palette")
mycolors <- colorRampPalette(brewer.pal(8, "Spectral"))(10)
#set path
setwd("~/Github/GLM-Drivers-of-Fire/Data")
#read data for presence data only
GlobalDriversFire.dt<-fread("~/GitHub/GLM-Drivers-of-Fire/Processed Data/GFED4.0_Presence2003-2016.csv", header = T, sep = ",", dec = ".")
#Filter data on required biome and drop the year 2016, as the data is incomplete for the data set distance to urban population
Data<-GlobalDriversFire.dt[Year!=2016 & Biomes==13,]
#We only want data were fires are actually possible, so no bare lands
plot(rasterFromXYZ(GlobalDriversFire.dt[,.(x, y,as.numeric(LC_Bare))]),main= "Fire Ignitions ",col=mycolors)
Data<-Data[LC_Bare!=1]
#check for missing values
colSums(is.na(Data))
Data <- na.omit(Data) #drop data with missing values
# Transform to factors
Data[,c("Month","GFED_Regions","IDL_Layer","Biomes","Continent")] <- lapply(Data[,c("Month","GFED_Regions","IDL_Layer","Biomes","Continent")], factor)
str(Data)
#rename levels of IDL_Layer
levels(Data$IDL_Layer) <- c("IDL","No_IDL")
#-------
#Step1 Data exploration and processing
#Get an overview of the data
head(Data)
names(Data)
str(Data)
colSums(Data!=0)
colSums(Data==0)
#plot some categorical variables and the response variable fire Ignitions
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(Ignitions))]),main= "Fire Ignitions ",col=mycolors)
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(GFED_Regions))]),main= "Fire Ignitions ",col=mycolors)
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(Continent))]),main= "Fire Ignitions ",col=mycolors)
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(IDL_Layer))]),main= "Fire Ignitions ",col=mycolors)
#view fire Ignitions indigenous vs none indigenous land
plot(rasterFromXYZ(Data[IDL_Layer=="IDL",.(x, y,as.numeric(Ignitions))]),main= "IDL ",col=mycolors)
plot(rasterFromXYZ(Data[IDL_Layer=="No_IDL",.(x, y,as.numeric(Ignitions))]),main= "No IDL ",col=mycolors)
#View histogram/distribution of response variable and transform if necessary
#Ignitions
summary(Data$Ignitions)
range(Data$Ignitions)
hist(Data$Ignitions) #right skewed
plotNormalHistogram(sqrt(Data$Ignitions))
plotNormalHistogram(sign(Data$Ignitions)*abs(Data$Ignitions)^(1/3))
plotNormalHistogram(log(Data$Ignitions))
plotNormalHistogram(log(Data$Ignitions))
plotNormalHistogram(log10(Data$Ignitions))
Data$Ignitions <- (sign(Data$Ignitions)*abs(Data$Ignitions)^(1/3))
plotNormalHistogram(Data$Ignitions)
#View histogram/distribution of explanatory variable and transform if necessary (only if extremly right skewed)
#Nr wet days
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(NrWetDays))]),main= "Nr Wet Days ",col=mycolors)
plotNormalHistogram(Data$NrWetDays)
range(Data$NrWetDays)
#DTR
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(DTR))]),main= "DTR ",col=mycolors)
range(Data$DTR)
plotNormalHistogram(Data$DTR)
#TMax
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(TMax))]),main= "Tmax ",col=mycolors)
range(Data$TMax)
plotNormalHistogram(Data$TMax)
#PET
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(PET))]),main= "PET ",col=mycolors)
range(Data$PET)
plotNormalHistogram(Data$PET)
#Precipitation
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(Precipitation))]),main= "Precipitation",col=mycolors)
range(Data$Precipitation)
plotNormalHistogram(Data$Precipitation) #might need to be transformed
plotNormalHistogram(sqrt(Data$Precipitation))
plotNormalHistogram(log(Data$Precipitation+1))
plotNormalHistogram(log10(Data$Precipitation+1))
#Data$Precipitation <- log(Data$Precipitation+1)
#plotNormalHistogram(Data$Precipitation)
#LAI
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(LAI))]),main= "LAI ",col=mycolors)
plotNormalHistogram(Data$LAI)
range(Data$LAI)
plotNormalHistogram(sqrt(Data$LAI))
plotNormalHistogram(log(Data$LAI))
#fPAR
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(fPAR))]),main= "fPAR ",col=mycolors)
plotNormalHistogram(Data$fPAR)
range(Data$fPAR)
#LC Tree
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(LC_Tree))]),main= "Landcover Tree ",col=mycolors)
plotNormalHistogram(Data$LC_Tree) # might still be alright
range(Data$LC_Tree)
plotNormalHistogram(sqrt(Data$LC_Tree))
plotNormalHistogram(sign(Data$LC_Tree)*abs(Data$LC_Tree)^(1/3))
plotNormalHistogram(log(Data$LC_Tree+1))
#LC Shrub
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(LC_Shrub))]),main= "Landcover Shrub ",col=mycolors)
plotNormalHistogram(Data$LC_Shrub) # might still be alright
range(Data$LC_Shrub)
plotNormalHistogram(sqrt(Data$LC_Shrub))
plotNormalHistogram(sign(Data$LC_Shrub)*abs(Data$LC_Shrub)^(1/3))
plotNormalHistogram(log(Data$LC_Shrub+1))
#Data$LC_Shrub <- (sign(Data$LC_Shrub)*abs(Data$LC_Shrub)^(1/3))
#LC Crop
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(LC_Crop))]),main= "Landcover Crop ",col=mycolors)
plotNormalHistogram(Data$LC_Crop)
range(Data$LC_Crop)
#LC Herbs
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(LC_Herbs))]),main= "Landcover Herbs",col=mycolors)
plotNormalHistogram(Data$LC_Herbs)
range(Data$LC_Herbs)
#Pop Density
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(PopDensity))]),main= "Pop density ",col=mycolors)
plotNormalHistogram(Data$PopDensity) #extremly right skewed
range(Data$PopDensity)
#possible transformations
plotNormalHistogram(log(Data$PopDensity+1))
plotNormalHistogram(log10(Data$PopDensity+1))
#transform data
Data$PopDensity<- log(Data$PopDensity+1)
setnames(Data, old="PopDensity", new=c("PopDensity_log")) #rename column
#Road Density
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(RoadDensity))]),main= "Road density ",col=mycolors)
plotNormalHistogram(Data$RoadDensity) #extremly right skewed
range(Data$RoadDensity)
#possible transformations
plotNormalHistogram(sqrt(Data$RoadDensity))
plotNormalHistogram(sign(Data$RoadDensity)*abs(Data$RoadDensity)^(1/3))
plotNormalHistogram(log(Data$RoadDensity+1))
plotNormalHistogram(log10(Data$RoadDensity+1))
#transform data
Data$RoadDensity <- sqrt(Data$RoadDensity)
setnames(Data, old="RoadDensity", new=c("RoadDensity_sqrt"))
#Distance to urban population
plot(rasterFromXYZ(Data[,.(x, y,as.numeric(DistUrbPop))]),main= "Distance to urban pop ",col=mycolors)
plotNormalHistogram(Data$DistUrbPop) #might be still alright
range(Data$DistUrbPop)
#possible transformations
plotNormalHistogram(sqrt(Data$DistUrbPop))
plotNormalHistogram(log(Data$DistUrbPop+1))
#Explore data.
#View the relationship of all continuous explanatory variables to the response variable
attach(Data)
par(mfrow = c(2,2))
plot(Ignitions~TMax)
plot(Ignitions~DTR)
plot(Ignitions~NrWetDays)
plot(Ignitions~Precipitation)
plot(Ignitions~PET)
plot(Ignitions~RoadDensity_sqrt)
plot(Ignitions~PopDensity_log)
plot(Ignitions~DistUrbPop)
plot(Ignitions~LC_Shrub)
plot(Ignitions~LC_Tree)
plot(Ignitions~LC_Crop)
plot(Ignitions~LC_Herbs)
plot(Ignitions~LAI)
plot(Ignitions~fPAR)
detach(Data)
dev.off()
#View the relationship of all categorical explanatory variables to the response variable
barplot(table(Data$IDL_Layer), ylab = "Frequency", main = "IDL") #heavily skewed towards No IDL
boxplot( Ignitions ~ interaction(IDL_Layer,Month), data=Data )
boxplot( Ignitions ~ interaction(IDL_Layer,Year), data=Data )
boxplot( Ignitions ~ interaction(IDL_Layer,Continent), data=Data )
boxplot( Ignitions ~ interaction(IDL_Layer,GFED_Regions), data=Data )
boxplot( Ignitions ~ IDL_Layer, data=Data )
boxplot( Ignitions ~ Month, data=Data )
#Check for correlations
cor(Data[,c(6:19,28)], use="pairwise.complete.obs")>0.7
#Correlations
#PopDensity_log with LC_Crop, TMax with PET and LAI with fPAR, drop LAI and PET and LC_Crop
#Now we scale all explanatory variables to better compare estimates of the models
Data[,c(6:19,28)] <- lapply(Data[,c(6:19,28)], scale)
#------------------
#Step 2 Fitting models
#1 linear model
f2<-formula(Ignitions~IDL_Layer*LC_Tree+IDL_Layer*LC_Shrub+IDL_Layer*LC_Herbs
+IDL_Layer*DTR+IDL_Layer*TMax+IDL_Layer*fPAR+IDL_Layer*Precipitation+ IDL_Layer*NrWetDays+IDL_Layer*RoadDensity_sqrt+IDL_Layer*PopDensity_log+IDL_Layer*DistUrbPop)
#linear model, considering quadratic terms
f<-formula(Ignitions~IDL_Layer*LC_Tree+IDL_Layer*LC_Shrub+IDL_Layer*LC_Herbs
+IDL_Layer*DTR+IDL_Layer*TMax+IDL_Layer*fPAR+IDL_Layer*Precipitation+IDL_Layer*NrWetDays +IDL_Layer*RoadDensity_sqrt+IDL_Layer*PopDensity_log+IDL_Layer*DistUrbPop
+IDL_Layer*I(TMax^2)+IDL_Layer*I(DTR^2)+IDL_Layer*I(fPAR^2)+ IDL_Layer*I(LC_Tree^2) +IDL_Layer*I(LC_Shrub^2)+IDL_Layer*I(LC_Herbs^2)+IDL_Layer*I(Precipitation^2) +IDL_Layer*I(NrWetDays^2)
+IDL_Layer*I(RoadDensity_sqrt^2)+IDL_Layer*I(PopDensity_log^2)+IDL_Layer*I(DistUrbPop^2)
)
LM <-lm(f2, data = Data)
LM2<-lm(f, data= Data)
summary(LM)
summary(LM2)
AIC(LM)
AIC(LM2) # adding quadratic terms improves the results
#find the best LM with automatic model selection with StepAIC
LMfinal<-stepAIC(LM2)
summary(LMfinal)
AIC(LMfinal)
#validate model
par(mfrow = c(2,2))
plot(LMfinal)
dev.off()
plot(LMfinal,which=1)
#Make a histogram of the residuals to verify normality.
hist(residuals(LMfinal))
#-> Homogenity might be violated (trend in data) but looks ok, normality of the residuals looks ok, no outliers
#save the complete model output
#set path
setwd("~/GitHub/GLM-Drivers-of-Fire/Output/Model Results")
saveRDS(LMfinal, "LMBiome13Ignitions.rds")
#save linear model statistical output for thesis
setwd("~/GitHub/GLM-Drivers-of-Fire/Output/Statistic LM Results")
lmOut(LMfinal, file="my-results.xlsx")
#end 1 linear model
#*********************#
#2 Best (weighted) random/mixed effects model
#Generalised least squares (GLS) model
#needed to compare AIC in further analysis; identical to the linear model
GLM<-gls(f, data = Data)
AIC(GLM)
summary(GLM)
plot(GLM)
#1 Find a good random structure
#GLS allows for / to deal with heterogeneity in the model. This is essentially a weighted linear regression.
#Find a good variance structure
#varexp
vf1<- varExp(form =~fPAR)
M.gls1 <- gls(f, data =Data,
weights = vf1)
vf2<- varExp(form =~TMax)
M.gls2 <- gls(f, data =Data,
weights = vf2)
vf3<- varExp(form =~Precipitation)
M.gls3 <- gls(f, data =Data,
weights = vf3)
vf5<- varExp(form =~LC_Tree)
M.gls5 <- gls(f, data =Data,
weights = vf5)
vf6<- varExp(form =~RoadDensity_sqrt)
M.gls6 <- gls(f, data =Data,
weights = vf6)
vf7<- varExp(form =~PopDensity_log)
M.gls7 <- gls(f, data =Data,
weights = vf7)
vf8<- varExp(form =~LC_Shrub)
M.gls8 <- gls(f, data =Data,
weights = vf8)
vf9<- varExp(form =~LC_Herbs)
M.gls9 <- gls(f, data =Data,
weights = vf9)
vf10<- varExp(form =~DistUrbPop)
M.gls10 <- gls(f, data =Data,
weights = vf10)
AIC(GLM,M.gls1,M.gls2,M.gls3,M.gls5,M.gls6,M.gls7, M.gls8, M.gls9, M.gls10)
#plot residuals with best AIC and check whether the effect of heterogeneity decreased
plot(GLM)
plot(M.gls1, main="M.gls1")
plot(M.gls2, main="M.gls2")
plot(M.gls3, main="M.gls3")
plot(M.gls5, main="M.gls5")
plot(M.gls6, main="M.gls6")
plot(M.gls7, main="M.gls7")
plot(M.gls8, main="M.gls8")
plot(M.gls9, main="M.gls9")
plot(M.gls10, main="M.gls10")
#combined variance structure
vf11 <- varComb(
varExp(form =~RoadDensity_sqrt),
varExp(form =~PopDensity_log),
varExp(form =~DistUrbPop),
varExp(form =~fPAR))
M.glsw <- gls(f, data =Data,
weights = vf11)
AIC(GLM,M.gls2,M.gls3,M.gls5,M.gls6,M.gls7, M.gls8, M.gls9, M.gls10, M.glsw)
#check homogeneity of variance again
summary(M.glsw)
plot(M.glsw)
#End find a good variance structure; homogenity looks good now
#linear mixed effect models
#consider further random effects like nested effects
#effect of spatial and temporal autocorellation are unfortunately not feasible with the amount of data we have
#consider the nested effect of GFED Regions
start_time <- Sys.time()
M.glswc <- lme(f, data =Data,
random = ~ 1 |GFED_Regions, weights = vf11 )
end_time <- Sys.time()
start_time-end_time
AIC(GLM,M.gls2,M.gls3,M.gls5,M.gls6,M.gls7, M.gls8, M.gls9, M.gls10, M.glsw,M.glswc) #considerably better
summary(M.glswc)
plot(M.glswc)
#Best Model considers the nested effect of GFED Regions
#2 Find a good fixed term structure via backward selection
#to compare fixed structure we need to we need to change the method to "ML"
#mixed effect model with best random structure with ML instead of RML
Mfix.glswc <- lme(f, data =Data, method="ML",
random = ~ 1 |GFED_Regions, weights = vf11 )
summary(Mfix.glswc)
#drop terms that are not significant step by step and check whether this decreases the AIC
#drop IDL_LayerNo_IDL:I(DistUrbPop^2) & IDL_LayerNo_IDL:I(RoadDensity_sqrt^2) & IDL_LayerNo_IDL:I(fPAR^2) & IDL_LayerNo_IDL:DistUrbPop
ffix1<-formula(Ignitions~IDL_Layer*LC_Tree+IDL_Layer*LC_Shrub+IDL_Layer*LC_Herbs
+IDL_Layer*DTR+IDL_Layer*TMax+IDL_Layer*fPAR+IDL_Layer*Precipitation+IDL_Layer*NrWetDays +IDL_Layer*RoadDensity_sqrt+IDL_Layer*PopDensity_log+DistUrbPop
+IDL_Layer*I(TMax^2)+IDL_Layer*I(DTR^2)+I(fPAR^2)+ IDL_Layer*I(LC_Tree^2) +IDL_Layer*I(LC_Shrub^2)+IDL_Layer*I(LC_Herbs^2)+IDL_Layer*I(Precipitation^2) +IDL_Layer*I(NrWetDays^2)
+I(RoadDensity_sqrt^2)+IDL_Layer*I(PopDensity_log^2)+I(DistUrbPop^2)
)
Mfix.glswc1 <- lme(ffix1, data =Data, method="ML",
random = ~ 1 |GFED_Regions, weights = vf11 )
#compare AICs
AIC(Mfix.glswc, Mfix.glswc1)
summary(Mfix.glswc1)
#drop DistUrbPop
ffix2<-formula(Ignitions~IDL_Layer*LC_Tree+IDL_Layer*LC_Shrub+IDL_Layer*LC_Herbs
+IDL_Layer*DTR+IDL_Layer*TMax+IDL_Layer*fPAR+IDL_Layer*Precipitation+IDL_Layer*NrWetDays +IDL_Layer*RoadDensity_sqrt+IDL_Layer*PopDensity_log
+IDL_Layer*I(TMax^2)+IDL_Layer*I(DTR^2)+I(fPAR^2)+ IDL_Layer*I(LC_Tree^2) +IDL_Layer*I(LC_Shrub^2)+IDL_Layer*I(LC_Herbs^2)+IDL_Layer*I(Precipitation^2) +IDL_Layer*I(NrWetDays^2)
+I(RoadDensity_sqrt^2)+IDL_Layer*I(PopDensity_log^2)+I(DistUrbPop^2)
)
Mfix.glswc2 <- lme(ffix2, data =Data, method="ML",
random = ~ 1 |GFED_Regions, weights = vf11 )
AIC(Mfix.glswc, Mfix.glswc1, Mfix.glswc2)
summary(Mfix.glswc2)
#final model
LME.final.ML<-Mfix.glswc2
#now that we found the model with the best random and fixed structure -> refit it with REML estimation
LME.final<-lme(ffix2, data =Data, method="REML",
random = ~ 1 |GFED_Regions, weights = vf11 )
summary(LME.final)
AIC(LME.final)
#Model validation
#Plot (standardised) residuals against fitted values to assess homogeneity
plot(LME.final)
#Make a histogram of the residuals to verify normality.
plotNormalHistogram(residuals(LME.final))
#-> Homogenity and normality of the residuals looks good. Model with the best AIC as well
#Calculate R^2
rsquared(LME.final)
#save linear model output for thesis
lme_coef <- summary(LME.final)$tTable
#round coeffiecents
formatter <- function(x) format(round(x,5),nsmall=5)
Variables<-formatter(lme_coef)
#get variable names
lme_names<- variable.names(lm(ffix2,data = Data))
#combine data
lme_info <- data.table(lme_names,Variables)
lme_info
#get lme formula
LME.final$call
#set path
setwd("~/GitHub/GLM-Drivers-of-Fire/Output/Statistic LME Results")
#save output
header_style <- createStyle(halign = "center", textDecoration = "bold")
wb <- createWorkbook()
addWorksheet(wb, "Biome")
writeData(wb, "Biome", lme_info, headerStyle = header_style)
freezePane(wb, "Biome", firstRow = TRUE)
setColWidths(wb, "Biome", cols = 1:ncol(lme_info), widths = "auto")
saveWorkbook(wb, file = "my-results.xlsx", overwrite = TRUE)
#save the complete model output
#set path
setwd("~/GitHub/GLM-Drivers-of-Fire/Output/Model Results")
saveRDS(M.glswc, "lmeBiome13Ignitions.rds")
#test<- readRDS("lmeBiome7.rds")
#End 2 Best (weighted) random/mixed effects model
#*********************'
#3 Generalized additive model (GAM)
sf<-formula(Ignitions~IDL_Layer+s(LC_Tree)+s(LC_Shrub)+s(LC_Herbs)
+s(DTR)+s(TMax)+s(Precipitation)+s(NrWetDays)
+s(fPAR)+s(PopDensity_log)+s(RoadDensity_sqrt)+s(DistUrbPop))
GAM <- gam(sf,data = Data)
summary(GAM)
GAM.info<-summary(GAM)
GAM.linear<-GAM.info$p.table
GAM.smooth<-GAM.info$s.table
plot(GAM)
#set path
setwd("~/GitHub/GLM-Drivers-of-Fire/Output/Statistic GAM Results")
#save output
header_style <- createStyle(halign = "center", textDecoration = "bold")
wb <- createWorkbook()
addWorksheet(wb, "Biome")
addWorksheet(wb, "Biomesmooth")
writeData(wb, "Biome", GAM.linear, headerStyle = header_style)
writeData(wb, "Biomesmooth", GAM.smooth, headerStyle = header_style)
freezePane(wb, "Biome", firstRow = TRUE)
setColWidths(wb, "Biome", cols = 1:ncol(GAM.linear), widths = "auto")
setColWidths(wb, "Biomesmooth", cols = 1:ncol(GAM.smooth), widths = "auto")
saveWorkbook(wb, file = "my-results.xlsx", overwrite = TRUE)
#save the complete model output
#set path
setwd("~/GitHub/GLM-Drivers-of-Fire/Output/Model Results")
saveRDS(GAM, "GAMBiome13Ignitions.rds")
#test<- readRDS("lmeBiome7.rds")
|
### Script for managing data export by Access to use in harris matrices
library(dplyr)
library(DiagrammeR)
library(RPostgreSQL)
con <- dbConnect("PostgreSQL",
host='192.168.2.100',
port = '5432',
dbname = 'gygaia',
user = 'gygaiaro',
password = 'gygaiaro') # create and open the data base connection
area <- c('93', '545')
query <- paste(
'SELECT excavation.contexts.subtable, excavation.contexts.context_number, excavation.contexts_stratigraphic_relationships.stratigraphic_relationship_type, excavation.contexts_stratigraphic_relationships.stratigraphic_relationship_subtype, excavation.contexts_stratigraphic_relationships.related_context_number
FROM excavation.contexts INNER JOIN excavation.contexts_stratigraphic_relationships ON (excavation.contexts.context_number = excavation.contexts_stratigraphic_relationships.context_number) AND (excavation.contexts.area_northing = excavation.contexts_stratigraphic_relationships.area_northing) AND (excavation.contexts.area_easting = excavation.contexts_stratigraphic_relationships.area_easting)
GROUP BY excavation.contexts.area_easting, excavation.contexts.area_northing, excavation.contexts.subtable, excavation.contexts.context_number, excavation.contexts_stratigraphic_relationships.stratigraphic_relationship_type, excavation.contexts_stratigraphic_relationships.stratigraphic_relationship_subtype, excavation.contexts_stratigraphic_relationships.related_context_number
HAVING (((excavation.contexts.area_easting)=',area[1],') AND ((excavation.contexts.area_northing)=',area[2],'))
ORDER BY excavation.contexts.context_number;', sep = '')
db.out <- dbGetQuery(con, query)
dbDisconnect(con)
strat <- db.out %>% tbl_df %>%
filter(stratigraphic_relationship_type == 'Earlier than') %>%
select(context_number, related_context_number) %>%
mutate_each(funs(as.character)) %>%
transmute(relations = paste(context_number, related_context_number, sep = '-->')) %>%
t %>%
paste0(collapse = ';')
strat
diagram.command <- paste("graph BT", strat, sep = ';')
DiagrammeR(diagram.command)
## connecting to the database
## info at https://code.google.com/p/rpostgresql/
| /harris matrix.R | no_license | plekhovd/Harris-Matrix | R | false | false | 2,249 | r | ### Script for managing data export by Access to use in harris matrices
library(dplyr)
library(DiagrammeR)
library(RPostgreSQL)
con <- dbConnect("PostgreSQL",
host='192.168.2.100',
port = '5432',
dbname = 'gygaia',
user = 'gygaiaro',
password = 'gygaiaro') # create and open the data base connection
area <- c('93', '545')
query <- paste(
'SELECT excavation.contexts.subtable, excavation.contexts.context_number, excavation.contexts_stratigraphic_relationships.stratigraphic_relationship_type, excavation.contexts_stratigraphic_relationships.stratigraphic_relationship_subtype, excavation.contexts_stratigraphic_relationships.related_context_number
FROM excavation.contexts INNER JOIN excavation.contexts_stratigraphic_relationships ON (excavation.contexts.context_number = excavation.contexts_stratigraphic_relationships.context_number) AND (excavation.contexts.area_northing = excavation.contexts_stratigraphic_relationships.area_northing) AND (excavation.contexts.area_easting = excavation.contexts_stratigraphic_relationships.area_easting)
GROUP BY excavation.contexts.area_easting, excavation.contexts.area_northing, excavation.contexts.subtable, excavation.contexts.context_number, excavation.contexts_stratigraphic_relationships.stratigraphic_relationship_type, excavation.contexts_stratigraphic_relationships.stratigraphic_relationship_subtype, excavation.contexts_stratigraphic_relationships.related_context_number
HAVING (((excavation.contexts.area_easting)=',area[1],') AND ((excavation.contexts.area_northing)=',area[2],'))
ORDER BY excavation.contexts.context_number;', sep = '')
db.out <- dbGetQuery(con, query)
dbDisconnect(con)
strat <- db.out %>% tbl_df %>%
filter(stratigraphic_relationship_type == 'Earlier than') %>%
select(context_number, related_context_number) %>%
mutate_each(funs(as.character)) %>%
transmute(relations = paste(context_number, related_context_number, sep = '-->')) %>%
t %>%
paste0(collapse = ';')
strat
diagram.command <- paste("graph BT", strat, sep = ';')
DiagrammeR(diagram.command)
## connecting to the database
## info at https://code.google.com/p/rpostgresql/
|
#!/usr/bin/Rscript
library(psych)
library(effsize)
sink("abcd_ed_gi_descriptive_output.txt",split=TRUE)
print("Loading Rds files...")
abcd.ed.gi=readRDS("abcd_ed_gi.Rds")
abcd.ed.gi.m_crpbi=readRDS("abcd_ed_gi_mcrpbi.Rds")
abcd.ed.gi.f_crpbi=readRDS("abcd_ed_gi_fcrpbi.Rds")
abcd.ed.gi=abcd.ed.gi[abcd.ed.gi$gender=="F" | abcd.ed.gi$gender=="M",]
writeLines("\n######################")
writeLines("Demographics (Table 1)")
writeLines("######################")
writeLines("\nSex")
table(abcd.ed.gi$gender)
writeLines("\nRace_Ethnicity")
table(abcd.ed.gi$race_ethnicity.x)
writeLines("\nEducation")
table(abcd.ed.gi$high.educ.x)
writeLines("\nHousehold Income")
table(abcd.ed.gi$household.income.x)
writeLines("\nParent Marital Status")
table(abcd.ed.gi$married.or.livingtogether.x)
writeLines("\n#########################")
writeLines("Baseline Scores (Table 2)")
writeLines("#########################")
writeLines("\nBaseline Age")
describe(abcd.ed.gi$b.interview_age)
writeLines("\nBaseline BMI")
describe(abcd.ed.gi$b.bmi)
writeLines("\nBaseline GI Symptoms")
describe(abcd.ed.gi$b.gi_sum)
writeLines("\nBaseline CBCL Anxiety")
describe(abcd.ed.gi$b.cbcl_scr_dsm5_anxdisord_t)
writeLines("\nBaseline Maternal Acceptance")
describe(abcd.ed.gi.m_crpbi$b.crpbi_mother)
writeLines("\nBaseline Paternal Acceptance")
describe(abcd.ed.gi.f_crpbi$b.crpbi_father)
writeLines("\nBaseline ED Symptoms")
describe(abcd.ed.gi$b.ed_sum)
writeLines("\n#######################")
writeLines("Year 1 Scores (Table 2)")
writeLines("#######################")
writeLines("\nYear 1 Age")
describe(abcd.ed.gi$y1.interview_age)
writeLines("\nYear 1 BMI")
describe(abcd.ed.gi$y1.bmi)
writeLines("\nYear 1 GI Symptoms")
describe(abcd.ed.gi$y1.gi_sum)
writeLines("\nYear 1 CBCL Anxiety")
describe(abcd.ed.gi$y1.cbcl_scr_dsm5_anxdisord_t)
writeLines("\nYear 1 Maternal Acceptance")
describe(abcd.ed.gi.m_crpbi$y1.crpbi_mother)
writeLines("\nYear 1 Paternal Acceptance")
describe(abcd.ed.gi.f_crpbi$y1.crpbi_father)
writeLines("\nYear 1 ED Symptoms")
describe(abcd.ed.gi$y1.ed_sum)
detach("package:psych", unload=TRUE)
library(effsize)
writeLines("\n####################################")
writeLines("Baseline vs Year 1 t-tests (Table 2)")
writeLines("####################################")
writeLines("\nBaseline vs Y1 - Age")
t.test(abcd.ed.gi$b.interview_age,abcd.ed.gi$y1.interview_age)
cohen.d(abcd.ed.gi$b.interview_age,abcd.ed.gi$y1.interview_age,na.rm=TRUE)
writeLines("\nBaseline vs Y1 - BMI")
t.test(abcd.ed.gi$b.bmi,abcd.ed.gi$y1.bmi,paired=TRUE)
cohen.d(abcd.ed.gi$b.bmi,abcd.ed.gi$y1.bmi,na.rm=TRUE)
writeLines("\nBaseline vs Y1 - GI Symptoms")
t.test(abcd.ed.gi$y1.gi_sum,abcd.ed.gi$b.gi_sum,paired=TRUE)
cohen.d(abcd.ed.gi$y1.gi_sum,abcd.ed.gi$b.gi_sum,na.rm=TRUE)
writeLines("\nBaseline vs Y1 - CBCL Anxiety")
t.test(abcd.ed.gi$b.cbcl_scr_dsm5_anxdisord_t,abcd.ed.gi$y1.cbcl_scr_dsm5_anxdisord_t,paired=TRUE)
cohen.d(abcd.ed.gi$b.cbcl_scr_dsm5_anxdisord_t,abcd.ed.gi$y1.cbcl_scr_dsm5_anxdisord_t,na.rm=TRUE)
writeLines("\nBaseline vs Y1 - Maternal Acceptance")
t.test(abcd.ed.gi.m_crpbi$y1.crpbi_mother,abcd.ed.gi.m_crpbi$b.crpbi_mother,paired=TRUE)
cohen.d(abcd.ed.gi.m_crpbi$y1.crpbi_mother,abcd.ed.gi.m_crpbi$b.crpbi_mother,na.rm=TRUE)
writeLines("\nBaseline vs Y1 - Paternal Acceptance")
t.test(abcd.ed.gi.f_crpbi$y1.crpbi_father,abcd.ed.gi.f_crpbi$b.crpbi_father,paired=TRUE)
cohen.d(abcd.ed.gi.f_crpbi$y1.crpbi_father,abcd.ed.gi.f_crpbi$b.crpbi_father,na.rm=TRUE)
writeLines("\nBaseline vs Y1 - ED Symptoms")
t.test(abcd.ed.gi$y1.ed_sum,abcd.ed.gi$b.ed_sum,paired=TRUE)
cohen.d(abcd.ed.gi$y1.ed_sum,abcd.ed.gi$b.ed_sum,na.rm=TRUE)
writeLines("\n################################")
writeLines("Gendered Descriptives (Table S1)")
writeLines("################################")
girls.abcd.ed.gi=abcd.ed.gi[abcd.ed.gi$gender=="F",]
boys.abcd.ed.gi=abcd.ed.gi[abcd.ed.gi$gender=="M",]
girls.abcd.ed.gi.m_crpbi=abcd.ed.gi.m_crpbi[abcd.ed.gi.m_crpbi$gender=="F",]
boys.abcd.ed.gi.m_crpbi=abcd.ed.gi.m_crpbi[abcd.ed.gi.m_crpbi$gender=="M",]
girls.abcd.ed.gi.f_crpbi=abcd.ed.gi.f_crpbi[abcd.ed.gi.f_crpbi$gender=="F",]
boys.abcd.ed.gi.f_crpbi=abcd.ed.gi.f_crpbi[abcd.ed.gi.f_crpbi$gender=="M",]
print("Baseline Age - Girls")
describe(girls.abcd.ed.gi$b.interview_age)
print("Year 1 Age - Girls")
describe(girls.abcd.ed.gi$y1.interview_age)
print("Baseline BMI - Girls")
describe(girls.abcd.ed.gi$b.bmi)
print("Year 1 BMI - Girls")
describe(girls.abcd.ed.gi$y1.bmi)
print("Baseline GI Symptoms - Girls")
describe(girls.abcd.ed.gi$b.gi_sum)
print("Year 1 GI Symptoms - Girls")
describe(girls.abcd.ed.gi$y1.gi_sum)
print("Baseline Anxiety - Girls")
describe(girls.abcd.ed.gi$b.cbcl_scr_dsm5_anxdisord_t)
print("Year 1 Anxiety - Girls")
describe(girls.abcd.ed.gi$y1.cbcl_scr_dsm5_anxdisord_t)
print("Baseline ED Symptoms - Girls")
describe(girls.abcd.ed.gi$b.ed_sum)
print("Year 1 ED Symptoms - Girls")
describe(girls.abcd.ed.gi$y1.ed_sum)
print("Baseline Maternal Acceptance - Girls")
describe(girls.abcd.ed.gi.m_crpbi$b.crpbi_mother)
print("Year 1 Maternal Acceptance - Girls")
describe(girls.abcd.ed.gi.m_crpbi$y1.crpbi_mother)
print("Baseline Paternal Acceptance - Girls")
describe(girls.abcd.ed.gi.f_crpbi$b.crpbi_father)
print("Year 1 Paternal Acceptance - Girls")
describe(girls.abcd.ed.gi.f_crpbi$y1.crpbi_father)
print("Baseline Age - Boys")
describe(boys.abcd.ed.gi$b.interview_age)
print("Year 1 Age - Boys")
describe(boys.abcd.ed.gi$y1.interview_age)
print("Baseline BMI - Boys")
describe(boys.abcd.ed.gi$b.bmi)
print("Year 1 BMI - Boys")
describe(boys.abcd.ed.gi$y1.bmi)
print("Baseline GI Symptoms - Boys")
describe(boys.abcd.ed.gi$b.gi_sum)
print("Year 1 GI Symptoms - Boys")
describe(boys.abcd.ed.gi$y1.gi_sum)
print("Baseline ED Symptoms - Boys")
describe(boys.abcd.ed.gi$b.ed_sum)
print("Year 1 ED Symptoms - Boys")
describe(boys.abcd.ed.gi$y1.ed_sum)
print("Baseline Anxiety - Boys")
describe(boys.abcd.ed.gi$b.cbcl_scr_dsm5_anxdisord_t)
print("Year 1 Anxiety - Boys")
describe(boys.abcd.ed.gi$y1.cbcl_scr_dsm5_anxdisord_t)
print("Baseline Maternal Acceptance - Boys")
describe(boys.abcd.ed.gi.m_crpbi$b.crpbi_mother)
print("Year 1 Maternal Acceptance - Boys")
describe(boys.abcd.ed.gi.m_crpbi$y1.crpbi_mother)
print("Baseline Paternal Acceptance - Boys")
describe(boys.abcd.ed.gi.f_crpbi$b.crpbi_father)
print("Year 1 Paternal Acceptance - Boys")
describe(boys.abcd.ed.gi.f_crpbi$y1.crpbi_father)
sink()
| /abcd_ed_gi_descriptives.R | no_license | klkerr/abcd_ed_gi | R | false | false | 6,475 | r | #!/usr/bin/Rscript
library(psych)
library(effsize)
sink("abcd_ed_gi_descriptive_output.txt",split=TRUE)
print("Loading Rds files...")
abcd.ed.gi=readRDS("abcd_ed_gi.Rds")
abcd.ed.gi.m_crpbi=readRDS("abcd_ed_gi_mcrpbi.Rds")
abcd.ed.gi.f_crpbi=readRDS("abcd_ed_gi_fcrpbi.Rds")
abcd.ed.gi=abcd.ed.gi[abcd.ed.gi$gender=="F" | abcd.ed.gi$gender=="M",]
writeLines("\n######################")
writeLines("Demographics (Table 1)")
writeLines("######################")
writeLines("\nSex")
table(abcd.ed.gi$gender)
writeLines("\nRace_Ethnicity")
table(abcd.ed.gi$race_ethnicity.x)
writeLines("\nEducation")
table(abcd.ed.gi$high.educ.x)
writeLines("\nHousehold Income")
table(abcd.ed.gi$household.income.x)
writeLines("\nParent Marital Status")
table(abcd.ed.gi$married.or.livingtogether.x)
writeLines("\n#########################")
writeLines("Baseline Scores (Table 2)")
writeLines("#########################")
writeLines("\nBaseline Age")
describe(abcd.ed.gi$b.interview_age)
writeLines("\nBaseline BMI")
describe(abcd.ed.gi$b.bmi)
writeLines("\nBaseline GI Symptoms")
describe(abcd.ed.gi$b.gi_sum)
writeLines("\nBaseline CBCL Anxiety")
describe(abcd.ed.gi$b.cbcl_scr_dsm5_anxdisord_t)
writeLines("\nBaseline Maternal Acceptance")
describe(abcd.ed.gi.m_crpbi$b.crpbi_mother)
writeLines("\nBaseline Paternal Acceptance")
describe(abcd.ed.gi.f_crpbi$b.crpbi_father)
writeLines("\nBaseline ED Symptoms")
describe(abcd.ed.gi$b.ed_sum)
writeLines("\n#######################")
writeLines("Year 1 Scores (Table 2)")
writeLines("#######################")
writeLines("\nYear 1 Age")
describe(abcd.ed.gi$y1.interview_age)
writeLines("\nYear 1 BMI")
describe(abcd.ed.gi$y1.bmi)
writeLines("\nYear 1 GI Symptoms")
describe(abcd.ed.gi$y1.gi_sum)
writeLines("\nYear 1 CBCL Anxiety")
describe(abcd.ed.gi$y1.cbcl_scr_dsm5_anxdisord_t)
writeLines("\nYear 1 Maternal Acceptance")
describe(abcd.ed.gi.m_crpbi$y1.crpbi_mother)
writeLines("\nYear 1 Paternal Acceptance")
describe(abcd.ed.gi.f_crpbi$y1.crpbi_father)
writeLines("\nYear 1 ED Symptoms")
describe(abcd.ed.gi$y1.ed_sum)
detach("package:psych", unload=TRUE)
library(effsize)
writeLines("\n####################################")
writeLines("Baseline vs Year 1 t-tests (Table 2)")
writeLines("####################################")
writeLines("\nBaseline vs Y1 - Age")
t.test(abcd.ed.gi$b.interview_age,abcd.ed.gi$y1.interview_age)
cohen.d(abcd.ed.gi$b.interview_age,abcd.ed.gi$y1.interview_age,na.rm=TRUE)
writeLines("\nBaseline vs Y1 - BMI")
t.test(abcd.ed.gi$b.bmi,abcd.ed.gi$y1.bmi,paired=TRUE)
cohen.d(abcd.ed.gi$b.bmi,abcd.ed.gi$y1.bmi,na.rm=TRUE)
writeLines("\nBaseline vs Y1 - GI Symptoms")
t.test(abcd.ed.gi$y1.gi_sum,abcd.ed.gi$b.gi_sum,paired=TRUE)
cohen.d(abcd.ed.gi$y1.gi_sum,abcd.ed.gi$b.gi_sum,na.rm=TRUE)
writeLines("\nBaseline vs Y1 - CBCL Anxiety")
t.test(abcd.ed.gi$b.cbcl_scr_dsm5_anxdisord_t,abcd.ed.gi$y1.cbcl_scr_dsm5_anxdisord_t,paired=TRUE)
cohen.d(abcd.ed.gi$b.cbcl_scr_dsm5_anxdisord_t,abcd.ed.gi$y1.cbcl_scr_dsm5_anxdisord_t,na.rm=TRUE)
writeLines("\nBaseline vs Y1 - Maternal Acceptance")
t.test(abcd.ed.gi.m_crpbi$y1.crpbi_mother,abcd.ed.gi.m_crpbi$b.crpbi_mother,paired=TRUE)
cohen.d(abcd.ed.gi.m_crpbi$y1.crpbi_mother,abcd.ed.gi.m_crpbi$b.crpbi_mother,na.rm=TRUE)
writeLines("\nBaseline vs Y1 - Paternal Acceptance")
t.test(abcd.ed.gi.f_crpbi$y1.crpbi_father,abcd.ed.gi.f_crpbi$b.crpbi_father,paired=TRUE)
cohen.d(abcd.ed.gi.f_crpbi$y1.crpbi_father,abcd.ed.gi.f_crpbi$b.crpbi_father,na.rm=TRUE)
writeLines("\nBaseline vs Y1 - ED Symptoms")
t.test(abcd.ed.gi$y1.ed_sum,abcd.ed.gi$b.ed_sum,paired=TRUE)
cohen.d(abcd.ed.gi$y1.ed_sum,abcd.ed.gi$b.ed_sum,na.rm=TRUE)
writeLines("\n################################")
writeLines("Gendered Descriptives (Table S1)")
writeLines("################################")
girls.abcd.ed.gi=abcd.ed.gi[abcd.ed.gi$gender=="F",]
boys.abcd.ed.gi=abcd.ed.gi[abcd.ed.gi$gender=="M",]
girls.abcd.ed.gi.m_crpbi=abcd.ed.gi.m_crpbi[abcd.ed.gi.m_crpbi$gender=="F",]
boys.abcd.ed.gi.m_crpbi=abcd.ed.gi.m_crpbi[abcd.ed.gi.m_crpbi$gender=="M",]
girls.abcd.ed.gi.f_crpbi=abcd.ed.gi.f_crpbi[abcd.ed.gi.f_crpbi$gender=="F",]
boys.abcd.ed.gi.f_crpbi=abcd.ed.gi.f_crpbi[abcd.ed.gi.f_crpbi$gender=="M",]
print("Baseline Age - Girls")
describe(girls.abcd.ed.gi$b.interview_age)
print("Year 1 Age - Girls")
describe(girls.abcd.ed.gi$y1.interview_age)
print("Baseline BMI - Girls")
describe(girls.abcd.ed.gi$b.bmi)
print("Year 1 BMI - Girls")
describe(girls.abcd.ed.gi$y1.bmi)
print("Baseline GI Symptoms - Girls")
describe(girls.abcd.ed.gi$b.gi_sum)
print("Year 1 GI Symptoms - Girls")
describe(girls.abcd.ed.gi$y1.gi_sum)
print("Baseline Anxiety - Girls")
describe(girls.abcd.ed.gi$b.cbcl_scr_dsm5_anxdisord_t)
print("Year 1 Anxiety - Girls")
describe(girls.abcd.ed.gi$y1.cbcl_scr_dsm5_anxdisord_t)
print("Baseline ED Symptoms - Girls")
describe(girls.abcd.ed.gi$b.ed_sum)
print("Year 1 ED Symptoms - Girls")
describe(girls.abcd.ed.gi$y1.ed_sum)
print("Baseline Maternal Acceptance - Girls")
describe(girls.abcd.ed.gi.m_crpbi$b.crpbi_mother)
print("Year 1 Maternal Acceptance - Girls")
describe(girls.abcd.ed.gi.m_crpbi$y1.crpbi_mother)
print("Baseline Paternal Acceptance - Girls")
describe(girls.abcd.ed.gi.f_crpbi$b.crpbi_father)
print("Year 1 Paternal Acceptance - Girls")
describe(girls.abcd.ed.gi.f_crpbi$y1.crpbi_father)
print("Baseline Age - Boys")
describe(boys.abcd.ed.gi$b.interview_age)
print("Year 1 Age - Boys")
describe(boys.abcd.ed.gi$y1.interview_age)
print("Baseline BMI - Boys")
describe(boys.abcd.ed.gi$b.bmi)
print("Year 1 BMI - Boys")
describe(boys.abcd.ed.gi$y1.bmi)
print("Baseline GI Symptoms - Boys")
describe(boys.abcd.ed.gi$b.gi_sum)
print("Year 1 GI Symptoms - Boys")
describe(boys.abcd.ed.gi$y1.gi_sum)
print("Baseline ED Symptoms - Boys")
describe(boys.abcd.ed.gi$b.ed_sum)
print("Year 1 ED Symptoms - Boys")
describe(boys.abcd.ed.gi$y1.ed_sum)
print("Baseline Anxiety - Boys")
describe(boys.abcd.ed.gi$b.cbcl_scr_dsm5_anxdisord_t)
print("Year 1 Anxiety - Boys")
describe(boys.abcd.ed.gi$y1.cbcl_scr_dsm5_anxdisord_t)
print("Baseline Maternal Acceptance - Boys")
describe(boys.abcd.ed.gi.m_crpbi$b.crpbi_mother)
print("Year 1 Maternal Acceptance - Boys")
describe(boys.abcd.ed.gi.m_crpbi$y1.crpbi_mother)
print("Baseline Paternal Acceptance - Boys")
describe(boys.abcd.ed.gi.f_crpbi$b.crpbi_father)
print("Year 1 Paternal Acceptance - Boys")
describe(boys.abcd.ed.gi.f_crpbi$y1.crpbi_father)
sink()
|
testlist <- list(AgeVector = c(-4.73074171454048e-167, 2.2262381097027e-76, -9.12990429452974e-204, 5.97087417427845e-79, 4.7390525269307e-300, 6.58361441690132e-121, 3.58611068565168e-154, -2.94504776827523e-186, 2.62380314702636e-116, -6.78950518864266e+23, 6.99695749856012e-167, 86485.676793021, 1.11271562183704e+230, 1.94114173595984e-186, 1.44833381226225e-178, -6.75217876587581e-69, 1.17166524186752e-15, -4.66902120197297e-64, -1.96807327384856e+304, 4.43806122192432e-53, 9.29588680224717e-276, -6.49633240047463e-239, -1.22140819059424e-138, 5.03155164774999e-80, -6.36956558303921e-38, 7.15714506860012e-155, -1.21639456083975e-67, -4.53296532821828e-145, 1.02730307528395e+259, 6.48300719512778e-67, 1.35463567885879e-20, -1.05889609508607e+304, 1.60950429008189e-223, -6.15346754268764e-259, 4.96472645167748e+307, -2.5184537767256e-116), ExpressionMatrix = structure(c(4.80597147865938e+96, 6.97343932706536e+155, 1.3267342810479e+281, 1.34663897260867e+171, 1.76430141680543e+158, 1.20021255064002e-241, 1.72046093489436e+274, 4.64807629890539e-66, 3.23566990107388e-38, 3.70896378162114e-42, 1.09474740380531e+92, 7.49155705745727e-308, 3.26639180474928e+224, 3.21841801500177e-79, 4.26435540037564e-295, 1.40002857639358e+82, 47573397570345336, 2.00517157311369e-187, 2.74035572944044e+70, 2.89262435086883e-308, 6.65942057982148e-198, 1.10979548758712e-208, 1.40208057226312e-220, 6.25978904299555e-111, 1.06191688875218e+167, 1.1857452172049, 7.01135380962132e-157, 4.49610615342627e-308, 8.04053421408348e+261, 6.23220855980985e+275, 1.91601752509744e+141, 2.27737212344351e-244, 1.6315101795754e+126, 3.83196182917788e+160, 1.53445011275161e-192), .Dim = c(5L, 7L)), permutations = 0L)
result <- do.call(myTAI:::cpp_bootMatrix,testlist)
str(result) | /myTAI/inst/testfiles/cpp_bootMatrix/AFL_cpp_bootMatrix/cpp_bootMatrix_valgrind_files/1615764338-test.R | no_license | akhikolla/updatedatatype-list3 | R | false | false | 1,795 | r | testlist <- list(AgeVector = c(-4.73074171454048e-167, 2.2262381097027e-76, -9.12990429452974e-204, 5.97087417427845e-79, 4.7390525269307e-300, 6.58361441690132e-121, 3.58611068565168e-154, -2.94504776827523e-186, 2.62380314702636e-116, -6.78950518864266e+23, 6.99695749856012e-167, 86485.676793021, 1.11271562183704e+230, 1.94114173595984e-186, 1.44833381226225e-178, -6.75217876587581e-69, 1.17166524186752e-15, -4.66902120197297e-64, -1.96807327384856e+304, 4.43806122192432e-53, 9.29588680224717e-276, -6.49633240047463e-239, -1.22140819059424e-138, 5.03155164774999e-80, -6.36956558303921e-38, 7.15714506860012e-155, -1.21639456083975e-67, -4.53296532821828e-145, 1.02730307528395e+259, 6.48300719512778e-67, 1.35463567885879e-20, -1.05889609508607e+304, 1.60950429008189e-223, -6.15346754268764e-259, 4.96472645167748e+307, -2.5184537767256e-116), ExpressionMatrix = structure(c(4.80597147865938e+96, 6.97343932706536e+155, 1.3267342810479e+281, 1.34663897260867e+171, 1.76430141680543e+158, 1.20021255064002e-241, 1.72046093489436e+274, 4.64807629890539e-66, 3.23566990107388e-38, 3.70896378162114e-42, 1.09474740380531e+92, 7.49155705745727e-308, 3.26639180474928e+224, 3.21841801500177e-79, 4.26435540037564e-295, 1.40002857639358e+82, 47573397570345336, 2.00517157311369e-187, 2.74035572944044e+70, 2.89262435086883e-308, 6.65942057982148e-198, 1.10979548758712e-208, 1.40208057226312e-220, 6.25978904299555e-111, 1.06191688875218e+167, 1.1857452172049, 7.01135380962132e-157, 4.49610615342627e-308, 8.04053421408348e+261, 6.23220855980985e+275, 1.91601752509744e+141, 2.27737212344351e-244, 1.6315101795754e+126, 3.83196182917788e+160, 1.53445011275161e-192), .Dim = c(5L, 7L)), permutations = 0L)
result <- do.call(myTAI:::cpp_bootMatrix,testlist)
str(result) |
rm(list = ls())
#packages
{
library(C50)
require("ktspair")
library(e1071)
library(pamr)
library(switchBox)
library(tspair)
}
#functions
{
ktsp<-function(training_data,training_grp,krange=seq(3,9,by=2)){
p<-dim(training_data)[1]
c_0<-training_data[,training_grp==0]
c_1<-training_data[,training_grp==1]
if(length(krange) > 1){
kmax = ifelse(max(krange) %% 2 == 1, max(krange),max(krange)-1)
kmin = ifelse(min(krange) %% 2 == 1, min(krange),min(krange)+1)
krange = seq(kmin,kmax,by=2)
} else{
kmax = krange
}
if(!is.null(dim(c_0)[1])){
Rank0 = apply(c_0,2,rank)
}else{
Rank0 = rank(c_0)
}
if(!is.null(dim(c_1)[1])){
Rank1 = apply(c_1,2,rank)
}else{
Rank1 = rank(c_1)
}
kktsp<-c()
kktsp$Indices = matrix(0,kmax,2)
kktsp$FistTPScore = matrix(0,kmax,1)
fscore<-matrix(0,p,p)
sscore<-matrix(0,p,p)
dat_w<-function(dat){
p1<-dim(dat)[1]
w<-matrix(0,p1,p1)
newd <- t(dat)
for(i in 1:p1) {
w[,i] <- colSums((newd - dat[i,]) >= 0)
}
return(w)
}
tscore <- function(dta,grp,classifier,k){
p<-dim(training_data)[1]
c_0<-dta[,grp==0]
c_1<-dta[,grp==1]
s1 = c_0[classifier$Indices[1:k, 1], ] > c_0[classifier$Indices[1:k,2],]
s2 = c_0[classifier$Indices[1:k, 1], ] < c_0[classifier$Indices[1:k,2],]
s1 = apply(as.matrix(s1), 2, sum)
s2 = apply(as.matrix(s2), 2, sum)
stat0 = s1-s2
s1 = c_1[classifier$Indices[1:k, 1], ] > c_1[classifier$Indices[1:k,2],]
s2 = c_1[classifier$Indices[1:k, 1], ] < c_1[classifier$Indices[1:k,2],]
s1 = apply(as.matrix(s1), 2, sum)
s2 = apply(as.matrix(s2), 2, sum)
stat1 = s1-s2
tt <- ( abs(mean(stat0) - mean(stat1)) /
sqrt(var(stat1) + var(stat0) + 0.000000001) )
}
secscore <-function(Rank0,Rank1,ind){
if (dim(ind)[1]>1){
sscore = matrix(0,dim(ind)[1])
for(i in 1:dim(ind)[1]){
muij_0 = sum(Rank0[ind[i,1],] - Rank0[ind[i,2],])/dim(Rank0)[2]
muij_1 = sum(Rank1[ind[i,1],] - Rank1[ind[i,2],])/dim(Rank1)[2]
sscore[i] = abs(muij_0 - muij_1)
}
}else{
muij_0 = sum(Rank0[ind[1],] - Rank0[ind[2],])/dim(Rank0)[2]
muij_1 = sum(Rank1[ind[1],] - Rank1[ind[2],])/dim(Rank1)[2]
sscore = abs(muij_0 - muij_1)
}
return(sscore)
}
w_0 = dat_w(c_0)
w_1 = dat_w(c_1)
pij_0 = w_0 / dim(c_0)[2]
pij_1 = w_1 / dim(c_1)[2]
for(i in 1:(p-1)){
for(j in (i+1):p){
fscore [i,j] = abs(pij_0[i,j]-pij_1[i,j])
}
}
for (ii in 1:kmax){
mscore = which(fscore==max(fscore),arr.ind = T)
if (dim(mscore)[1] > 1) {
sscore <- secscore(Rank0,Rank1,mscore)
mscore<-matrix(mscore[which(sscore==max(sscore)),],nrow=1)
#if we have multiple secondscore
if(dim(mscore)[2]>2){
mscore = matrix(mscore[,1:2],ncol=2)
}
}
kktsp$Indices[ii,]<-mscore
kktsp$FistTPScore[ii,1]<-fscore[mscore]
fscore[mscore[,1],]<-fscore[mscore[,2],]<-fscore[,mscore[,1]]<-fscore[,mscore[,2]]<-0
}
# we want to be sure first column of indexes is bigger in class 0
for (ii in 1:kmax){
if(pij_0[kktsp$Indices[ii,1],kktsp$Indices[ii,2]]<pij_1[kktsp$Indices[ii,1],kktsp$Indices[ii,2]]){
temp<-kktsp$Indices[ii,1]
kktsp$Indices[ii,1]<-kktsp$Indices[ii,2]
kktsp$Indices[ii,2]<-temp
}
}
if (length(krange) > 1){
tt = 0
for (u in 1:length(krange)){
k = krange[u]
t = tscore(training_data, training_grp,kktsp,k)
if(t > tt){
kopt = k
tt = t
}
}
kktsp$Indices = kktsp$Indices[1:kopt,]
kktsp$FistTPScore = kktsp$FistTPScore[1:kopt,]
}
return(kktsp)
}
ktspSecondScore<-function(training_data,training_grp,k=1){
p<-dim(training_data)[1]
c_0<-training_data[,training_grp==0]
c_1<-training_data[,training_grp==1]
if(!is.null(dim(c_0)[1])){
Rank0 = apply(c_0,2,rank)
}else{
Rank0 = rank(c_0)
}
if(!is.null(dim(c_1)[1])){
Rank1 = apply(c_1,2,rank)
}else{
Rank1 = rank(c_1)
}
kktsp<-c()
kktsp$Indices = matrix(0,k,2)
kktsp$FistTPScore = matrix(0,k,1)
fscore<-matrix(0,p,p)
sscore<-matrix(0,p,p)
dat_w<-function(dat){
p1<-dim(dat)[1]
w<-matrix(0,p1,p1)
newd <- t(dat)
for(i in 1:p1) {
w[,i] <- colSums((newd - dat[i,]) > 0)
}
return(w)
}
secscore <-function(Rank0,Rank1,ind){
if (dim(ind)[1]>1){
sscore = matrix(0,dim(ind)[1])
for(i in 1:dim(ind)[1]){
muij_0 = sum(Rank0[ind[i,1],] - Rank0[ind[i,2],])/dim(Rank0)[2]
muij_1 = sum(Rank1[ind[i,1],] - Rank1[ind[i,2],])/dim(Rank1)[2]
sscore[i] = abs(muij_0 - muij_1)
}
}else{
muij_0 = sum(Rank0[ind[1],] - Rank0[ind[2],])/dim(Rank0)[2]
muij_1 = sum(Rank1[ind[1],] - Rank1[ind[2],])/dim(Rank1)[2]
sscore = abs(muij_0 - muij_1)
}
return(sscore)
}
w_0 = dat_w(c_0)
w_1 = dat_w(c_1)
pij_0 = w_0 / dim(c_0)[2]
pij_1 = w_1 / dim(c_1)[2]
for(i in 1:(p-1)){
for(j in (i+1):p){
fscore [i,j] = secscore(Rank0,Rank1,matrix(c(i,j),nrow=1))
}
}
for (ii in 1:k){
mscore = which(fscore==max(fscore),arr.ind = T)
if (dim(mscore)[1] > 1) {
sscore <- secscore(Rank0,Rank1,mscore)
mscore<-matrix(mscore[which(sscore==max(sscore)),],nrow=1)
#if we have multiple secondscore
c("noluyolan!")
if(dim(mscore)[2]>2){
mscore = matrix(mscore[,1:2],ncol=2)
}
}
kktsp$Indices[ii,]<-mscore
kktsp$FistTPScore[ii,1]<-fscore[mscore]
fscore[mscore[,1],]<-fscore[mscore[,2],]<-fscore[,mscore[,1]]<-fscore[,mscore[,2]]<-0
}
# we want to be sure first column of indexes is bigger in class 0
for (ii in 1:k){
if(pij_0[kktsp$Indices[ii,1],kktsp$Indices[ii,2]]<pij_1[kktsp$Indices[ii,1],kktsp$Indices[ii,2]]){
temp<-kktsp$Indices[ii,1]
kktsp$Indices[ii,1]<-kktsp$Indices[ii,2]
kktsp$Indices[ii,2]<-temp
}
}
return(kktsp)
}
predictktsp <- function(testdta,classifier){
n = dim(testdta)[2]
k = dim(classifier$Indices)[1]
estgrp = c()
for(i in 1:n){
c0 = 0
c1 = 0
for(j in 1:k){
indi = classifier$Indices[j,]
if(testdta[indi[1],i] > testdta[indi[2],i]){
c0 = c0+1
}else{
c1 = c1+1
}
}
if(c0 > c1){
estgrp[i] = 0
}else{
estgrp[i] = 1
}
}
return(estgrp)
}
RowVar <- function(x) {
rowSums((x - rowMeans(x))^2)/(dim(x)[2] - 1)
}
make.consecutive.int <- function (y){
intialwarn = getOption("warn")
options(warn = -1)
if (is.null(y)) {
return(NULL)
}
if (!is.vector(y)) {
y = as.vector(as.character(y))
}
out <- as.integer(as.factor(as.character(y))) - 1
options(warn = intialwarn)
return(out)
}
svmrfeFeatureRanking = function(x,y){
n = ncol(x)
survivingFeaturesIndexes = seq(1:n)
featureRankedList = vector(length=n)
rankedFeatureIndex = n
while(length(survivingFeaturesIndexes)>0){
#train the support vector machine
svmModel = svm(x[, survivingFeaturesIndexes], y, cost = 10, cachesize=500,
scale=F, type="C-classification", kernel="linear" )
#compute the weight vector
w = t(svmModel$coefs)%*%svmModel$SV
#compute ranking criteria
rankingCriteria = w * w
#rank the features
ranking = sort(rankingCriteria, index.return = TRUE)$ix
#update feature ranked list
featureRankedList[rankedFeatureIndex] = survivingFeaturesIndexes[ranking[1]]
rankedFeatureIndex = rankedFeatureIndex - 1
#eliminate the feature with smallest ranking criterion
(survivingFeaturesIndexes = survivingFeaturesIndexes[-ranking[1]])
}
return (featureRankedList)
}
}
#prepare data
{
rvar = RowVar(data)
qt <- quantile(rvar,probs = 1-2000/dim(data)[1],na.rm = T)
data <- data[apply( data , 1 , function(x) var(x) > qt[1] ),]
grp = data.matrix(grp)
grp = make.consecutive.int(grp)
n = dim(data)[2]
p = dim(data)[1]
ind = 1:n
rownames(data) = 1:p
}
#define parameters
{
testperc = 0.8
rep = 100
}
#classifiers
{
testPredDT = matrix(0,rep)
nfeatsDT = matrix(0,rep)
kktspair39 = matrix(0,rep)
corpredicktspair39 = matrix(0,rep)
testPredNB = matrix(0,rep)
corpredicpam = matrix(0,rep)
nfeatsPAM = matrix(0,rep)
testPredSVM10 = matrix(0,rep)
testPredSVM100 = matrix(0,rep)
testPredSw39 = matrix(0,rep)
kSw39 = matrix(0,rep)
testPred9TSP = matrix(0,rep)
testPredS9TSP = matrix(0,rep)
corpredictsp = matrix(0,rep)
kbtsp9 = matrix(0,rep)
u=1
while(u!=(rep+1)){
test_ind = sample(ind,round(n*testperc))
training_ind = ind[-test_ind]
training_data = data.matrix(data[,training_ind])
training_grp = grp[training_ind]
test_data = data.matrix(data[,test_ind])
test_grp = grp[test_ind]
while (is.na(unique(training_grp)[2]) | table(training_grp)[1] < 2 | table(training_grp)[2] < 2){
test_ind = sample(ind,round(n*testperc))
training_ind = ind[-test_ind]
training_data = data.matrix(data[,training_ind])
training_grp = grp[training_ind]
test_data = data.matrix(data[,test_ind])
test_grp = grp[test_ind]
}
#kbtsp
#feats <- k_sel_feats(training_data,training_grp,N_Gibbs=N_Gibbs,N_burn=N_burn,a=a,k=9)
#kbtsp9[u] = mean(pre_kbtsp(test_data,feats) == test_grp)
#decision tree
#model = C5.0(t(training_data),as.factor(training_grp))
#testPredDT[u] <- mean (predict(model,t(test_data),type="class") == as.factor(test_grp))
#nfeatsDT[u] = sum(C5imp(model)!=0)
#ktspair w k = 3:9
# ccv <- cv(training_data, training_grp,cross=3)
# ktspa <- ktspcalc(training_data, training_grp, ccv$k)
# kktspair39[u] = ktspa$k
# corpredicktspair39[u]<-mean(predict(ktspa,data.matrix(test_data))==test_grp)
#naive bayes
#classifier = naiveBayes(t(training_data),as.factor(training_grp))
#testPredNB[u] <- mean (predict(classifier,t(test_data)) == as.factor(test_grp))
#pam
# tr.data = list(x = training_data, y = training_grp,
# geneid=as.character(1:nrow(training_data)),
# genenames=paste("g",as.character(1:nrow(training_data)),sep=""))
# te.data = list(x=test_data, y = test_grp)
# tr.train = pamr.train(tr.data)
# new.scales <- pamr.adaptthresh(tr.train)
# tr.train2 <- pamr.train(tr.data, threshold.scale=new.scales,prior = c(0.5,0.5))
# nfeatsPAM[u] = dim(pamr.listgenes(tr.train2, tr.data, threshold=new.scales))[1]
# corpredicpam[u] = mean(pamr.predict(tr.train2, te.data$x, threshold=new.scales) == te.data$y)
#SVM-RFE
featureRankedList = svmrfeFeatureRanking(t(training_data),as.factor(training_grp))
svmModel10 = svm(t(training_data[featureRankedList[1:10],]), as.factor(training_grp), cost = 0.1, kernel="linear" )
svmModel100 = svm(t(training_data[featureRankedList[1:100],]), as.factor(training_grp), cost = 0.1, kernel="linear" )
testPredSVM10[u] <- mean (predict(svmModel10,t(test_data[featureRankedList[1:10],])) == as.factor(test_grp))
testPredSVM100[u] <- mean (predict(svmModel100,t(test_data[featureRankedList[1:100],])) == as.factor(test_grp))
#switchbox39
#classifier = SWAP.KTSP.Train(training_data, as.factor(training_grp),FilterFunc = NULL,krange = seq(3,9,by=2))
#testPredSw39[u] <- mean(SWAP.KTSP.Classify(test_data, classifier) == test_grp)
#kSw39[u] = dim(classifier$TSPs)[1]
#ktsp defined func
# classifier9 = ktsp(training_data,training_grp,k=9)
# testPred9TSP[u] = mean(predictktsp(test_data, classifier9) == test_grp)
# classifierS9 = ktspSecondScore(training_data,training_grp,k=9)
# testPredS9TSP[u] = mean(predictktsp(test_data, classifierS9) == test_grp)
#tspair
#tsp <- tspcalc(training_data, training_grp)
#corpredictsp[u]<-mean(predict(tsp,data.matrix(test_data))==test_grp)
cat(u,"\n")
u=u+1
}
}
#results
{
mean(testPredDT)
mean(nfeatsDT)
mean(corpredicktspair39)
mean(kktspair39)
mean(testPredNB)
mean(corpredicpam)
mean(nfeatsPAM)
mean(testPredSVM10)
mean(testPredSVM100)
mean(testPredSw39)
mean(kSw39)
mean(testPred9TSP)
mean(testPredS9TSP)
mean(corpredictsp)
}
#write results
{
write.csv(testPredDT,file= "DT.csv" )
write.csv(corpredicktspair39,file= "ktspair.csv" )
write.csv(testPredNB,file= "NB.csv" )
write.csv(corpredicpam,file= "PAM.csv" )
write.csv(testPredSVM10,file= "SVM10.csv" )
write.csv(testPredSVM100,file= "SVM100.csv" )
write.csv(testPredSw39,file= "switk39.csv" )
write.csv(testPred9TSP,file= "9tsp.csv" )
write.csv(testPredS9TSP,file= "S9tsp.csv" )
write.csv(corpredictsp,file= "tsp.csv" )
}
| /AllinOne.R | no_license | e-arslan/ktsp | R | false | false | 13,961 | r | rm(list = ls())
#packages
{
library(C50)
require("ktspair")
library(e1071)
library(pamr)
library(switchBox)
library(tspair)
}
#functions
{
ktsp<-function(training_data,training_grp,krange=seq(3,9,by=2)){
p<-dim(training_data)[1]
c_0<-training_data[,training_grp==0]
c_1<-training_data[,training_grp==1]
if(length(krange) > 1){
kmax = ifelse(max(krange) %% 2 == 1, max(krange),max(krange)-1)
kmin = ifelse(min(krange) %% 2 == 1, min(krange),min(krange)+1)
krange = seq(kmin,kmax,by=2)
} else{
kmax = krange
}
if(!is.null(dim(c_0)[1])){
Rank0 = apply(c_0,2,rank)
}else{
Rank0 = rank(c_0)
}
if(!is.null(dim(c_1)[1])){
Rank1 = apply(c_1,2,rank)
}else{
Rank1 = rank(c_1)
}
kktsp<-c()
kktsp$Indices = matrix(0,kmax,2)
kktsp$FistTPScore = matrix(0,kmax,1)
fscore<-matrix(0,p,p)
sscore<-matrix(0,p,p)
dat_w<-function(dat){
p1<-dim(dat)[1]
w<-matrix(0,p1,p1)
newd <- t(dat)
for(i in 1:p1) {
w[,i] <- colSums((newd - dat[i,]) >= 0)
}
return(w)
}
tscore <- function(dta,grp,classifier,k){
p<-dim(training_data)[1]
c_0<-dta[,grp==0]
c_1<-dta[,grp==1]
s1 = c_0[classifier$Indices[1:k, 1], ] > c_0[classifier$Indices[1:k,2],]
s2 = c_0[classifier$Indices[1:k, 1], ] < c_0[classifier$Indices[1:k,2],]
s1 = apply(as.matrix(s1), 2, sum)
s2 = apply(as.matrix(s2), 2, sum)
stat0 = s1-s2
s1 = c_1[classifier$Indices[1:k, 1], ] > c_1[classifier$Indices[1:k,2],]
s2 = c_1[classifier$Indices[1:k, 1], ] < c_1[classifier$Indices[1:k,2],]
s1 = apply(as.matrix(s1), 2, sum)
s2 = apply(as.matrix(s2), 2, sum)
stat1 = s1-s2
tt <- ( abs(mean(stat0) - mean(stat1)) /
sqrt(var(stat1) + var(stat0) + 0.000000001) )
}
secscore <-function(Rank0,Rank1,ind){
if (dim(ind)[1]>1){
sscore = matrix(0,dim(ind)[1])
for(i in 1:dim(ind)[1]){
muij_0 = sum(Rank0[ind[i,1],] - Rank0[ind[i,2],])/dim(Rank0)[2]
muij_1 = sum(Rank1[ind[i,1],] - Rank1[ind[i,2],])/dim(Rank1)[2]
sscore[i] = abs(muij_0 - muij_1)
}
}else{
muij_0 = sum(Rank0[ind[1],] - Rank0[ind[2],])/dim(Rank0)[2]
muij_1 = sum(Rank1[ind[1],] - Rank1[ind[2],])/dim(Rank1)[2]
sscore = abs(muij_0 - muij_1)
}
return(sscore)
}
w_0 = dat_w(c_0)
w_1 = dat_w(c_1)
pij_0 = w_0 / dim(c_0)[2]
pij_1 = w_1 / dim(c_1)[2]
for(i in 1:(p-1)){
for(j in (i+1):p){
fscore [i,j] = abs(pij_0[i,j]-pij_1[i,j])
}
}
for (ii in 1:kmax){
mscore = which(fscore==max(fscore),arr.ind = T)
if (dim(mscore)[1] > 1) {
sscore <- secscore(Rank0,Rank1,mscore)
mscore<-matrix(mscore[which(sscore==max(sscore)),],nrow=1)
#if we have multiple secondscore
if(dim(mscore)[2]>2){
mscore = matrix(mscore[,1:2],ncol=2)
}
}
kktsp$Indices[ii,]<-mscore
kktsp$FistTPScore[ii,1]<-fscore[mscore]
fscore[mscore[,1],]<-fscore[mscore[,2],]<-fscore[,mscore[,1]]<-fscore[,mscore[,2]]<-0
}
# we want to be sure first column of indexes is bigger in class 0
for (ii in 1:kmax){
if(pij_0[kktsp$Indices[ii,1],kktsp$Indices[ii,2]]<pij_1[kktsp$Indices[ii,1],kktsp$Indices[ii,2]]){
temp<-kktsp$Indices[ii,1]
kktsp$Indices[ii,1]<-kktsp$Indices[ii,2]
kktsp$Indices[ii,2]<-temp
}
}
if (length(krange) > 1){
tt = 0
for (u in 1:length(krange)){
k = krange[u]
t = tscore(training_data, training_grp,kktsp,k)
if(t > tt){
kopt = k
tt = t
}
}
kktsp$Indices = kktsp$Indices[1:kopt,]
kktsp$FistTPScore = kktsp$FistTPScore[1:kopt,]
}
return(kktsp)
}
ktspSecondScore<-function(training_data,training_grp,k=1){
p<-dim(training_data)[1]
c_0<-training_data[,training_grp==0]
c_1<-training_data[,training_grp==1]
if(!is.null(dim(c_0)[1])){
Rank0 = apply(c_0,2,rank)
}else{
Rank0 = rank(c_0)
}
if(!is.null(dim(c_1)[1])){
Rank1 = apply(c_1,2,rank)
}else{
Rank1 = rank(c_1)
}
kktsp<-c()
kktsp$Indices = matrix(0,k,2)
kktsp$FistTPScore = matrix(0,k,1)
fscore<-matrix(0,p,p)
sscore<-matrix(0,p,p)
dat_w<-function(dat){
p1<-dim(dat)[1]
w<-matrix(0,p1,p1)
newd <- t(dat)
for(i in 1:p1) {
w[,i] <- colSums((newd - dat[i,]) > 0)
}
return(w)
}
secscore <-function(Rank0,Rank1,ind){
if (dim(ind)[1]>1){
sscore = matrix(0,dim(ind)[1])
for(i in 1:dim(ind)[1]){
muij_0 = sum(Rank0[ind[i,1],] - Rank0[ind[i,2],])/dim(Rank0)[2]
muij_1 = sum(Rank1[ind[i,1],] - Rank1[ind[i,2],])/dim(Rank1)[2]
sscore[i] = abs(muij_0 - muij_1)
}
}else{
muij_0 = sum(Rank0[ind[1],] - Rank0[ind[2],])/dim(Rank0)[2]
muij_1 = sum(Rank1[ind[1],] - Rank1[ind[2],])/dim(Rank1)[2]
sscore = abs(muij_0 - muij_1)
}
return(sscore)
}
w_0 = dat_w(c_0)
w_1 = dat_w(c_1)
pij_0 = w_0 / dim(c_0)[2]
pij_1 = w_1 / dim(c_1)[2]
for(i in 1:(p-1)){
for(j in (i+1):p){
fscore [i,j] = secscore(Rank0,Rank1,matrix(c(i,j),nrow=1))
}
}
for (ii in 1:k){
mscore = which(fscore==max(fscore),arr.ind = T)
if (dim(mscore)[1] > 1) {
sscore <- secscore(Rank0,Rank1,mscore)
mscore<-matrix(mscore[which(sscore==max(sscore)),],nrow=1)
#if we have multiple secondscore
c("noluyolan!")
if(dim(mscore)[2]>2){
mscore = matrix(mscore[,1:2],ncol=2)
}
}
kktsp$Indices[ii,]<-mscore
kktsp$FistTPScore[ii,1]<-fscore[mscore]
fscore[mscore[,1],]<-fscore[mscore[,2],]<-fscore[,mscore[,1]]<-fscore[,mscore[,2]]<-0
}
# we want to be sure first column of indexes is bigger in class 0
for (ii in 1:k){
if(pij_0[kktsp$Indices[ii,1],kktsp$Indices[ii,2]]<pij_1[kktsp$Indices[ii,1],kktsp$Indices[ii,2]]){
temp<-kktsp$Indices[ii,1]
kktsp$Indices[ii,1]<-kktsp$Indices[ii,2]
kktsp$Indices[ii,2]<-temp
}
}
return(kktsp)
}
predictktsp <- function(testdta,classifier){
n = dim(testdta)[2]
k = dim(classifier$Indices)[1]
estgrp = c()
for(i in 1:n){
c0 = 0
c1 = 0
for(j in 1:k){
indi = classifier$Indices[j,]
if(testdta[indi[1],i] > testdta[indi[2],i]){
c0 = c0+1
}else{
c1 = c1+1
}
}
if(c0 > c1){
estgrp[i] = 0
}else{
estgrp[i] = 1
}
}
return(estgrp)
}
RowVar <- function(x) {
rowSums((x - rowMeans(x))^2)/(dim(x)[2] - 1)
}
make.consecutive.int <- function (y){
intialwarn = getOption("warn")
options(warn = -1)
if (is.null(y)) {
return(NULL)
}
if (!is.vector(y)) {
y = as.vector(as.character(y))
}
out <- as.integer(as.factor(as.character(y))) - 1
options(warn = intialwarn)
return(out)
}
svmrfeFeatureRanking = function(x,y){
n = ncol(x)
survivingFeaturesIndexes = seq(1:n)
featureRankedList = vector(length=n)
rankedFeatureIndex = n
while(length(survivingFeaturesIndexes)>0){
#train the support vector machine
svmModel = svm(x[, survivingFeaturesIndexes], y, cost = 10, cachesize=500,
scale=F, type="C-classification", kernel="linear" )
#compute the weight vector
w = t(svmModel$coefs)%*%svmModel$SV
#compute ranking criteria
rankingCriteria = w * w
#rank the features
ranking = sort(rankingCriteria, index.return = TRUE)$ix
#update feature ranked list
featureRankedList[rankedFeatureIndex] = survivingFeaturesIndexes[ranking[1]]
rankedFeatureIndex = rankedFeatureIndex - 1
#eliminate the feature with smallest ranking criterion
(survivingFeaturesIndexes = survivingFeaturesIndexes[-ranking[1]])
}
return (featureRankedList)
}
}
#prepare data
{
rvar = RowVar(data)
qt <- quantile(rvar,probs = 1-2000/dim(data)[1],na.rm = T)
data <- data[apply( data , 1 , function(x) var(x) > qt[1] ),]
grp = data.matrix(grp)
grp = make.consecutive.int(grp)
n = dim(data)[2]
p = dim(data)[1]
ind = 1:n
rownames(data) = 1:p
}
#define parameters
{
testperc = 0.8
rep = 100
}
#classifiers
{
testPredDT = matrix(0,rep)
nfeatsDT = matrix(0,rep)
kktspair39 = matrix(0,rep)
corpredicktspair39 = matrix(0,rep)
testPredNB = matrix(0,rep)
corpredicpam = matrix(0,rep)
nfeatsPAM = matrix(0,rep)
testPredSVM10 = matrix(0,rep)
testPredSVM100 = matrix(0,rep)
testPredSw39 = matrix(0,rep)
kSw39 = matrix(0,rep)
testPred9TSP = matrix(0,rep)
testPredS9TSP = matrix(0,rep)
corpredictsp = matrix(0,rep)
kbtsp9 = matrix(0,rep)
u=1
while(u!=(rep+1)){
test_ind = sample(ind,round(n*testperc))
training_ind = ind[-test_ind]
training_data = data.matrix(data[,training_ind])
training_grp = grp[training_ind]
test_data = data.matrix(data[,test_ind])
test_grp = grp[test_ind]
while (is.na(unique(training_grp)[2]) | table(training_grp)[1] < 2 | table(training_grp)[2] < 2){
test_ind = sample(ind,round(n*testperc))
training_ind = ind[-test_ind]
training_data = data.matrix(data[,training_ind])
training_grp = grp[training_ind]
test_data = data.matrix(data[,test_ind])
test_grp = grp[test_ind]
}
#kbtsp
#feats <- k_sel_feats(training_data,training_grp,N_Gibbs=N_Gibbs,N_burn=N_burn,a=a,k=9)
#kbtsp9[u] = mean(pre_kbtsp(test_data,feats) == test_grp)
#decision tree
#model = C5.0(t(training_data),as.factor(training_grp))
#testPredDT[u] <- mean (predict(model,t(test_data),type="class") == as.factor(test_grp))
#nfeatsDT[u] = sum(C5imp(model)!=0)
#ktspair w k = 3:9
# ccv <- cv(training_data, training_grp,cross=3)
# ktspa <- ktspcalc(training_data, training_grp, ccv$k)
# kktspair39[u] = ktspa$k
# corpredicktspair39[u]<-mean(predict(ktspa,data.matrix(test_data))==test_grp)
#naive bayes
#classifier = naiveBayes(t(training_data),as.factor(training_grp))
#testPredNB[u] <- mean (predict(classifier,t(test_data)) == as.factor(test_grp))
#pam
# tr.data = list(x = training_data, y = training_grp,
# geneid=as.character(1:nrow(training_data)),
# genenames=paste("g",as.character(1:nrow(training_data)),sep=""))
# te.data = list(x=test_data, y = test_grp)
# tr.train = pamr.train(tr.data)
# new.scales <- pamr.adaptthresh(tr.train)
# tr.train2 <- pamr.train(tr.data, threshold.scale=new.scales,prior = c(0.5,0.5))
# nfeatsPAM[u] = dim(pamr.listgenes(tr.train2, tr.data, threshold=new.scales))[1]
# corpredicpam[u] = mean(pamr.predict(tr.train2, te.data$x, threshold=new.scales) == te.data$y)
#SVM-RFE
featureRankedList = svmrfeFeatureRanking(t(training_data),as.factor(training_grp))
svmModel10 = svm(t(training_data[featureRankedList[1:10],]), as.factor(training_grp), cost = 0.1, kernel="linear" )
svmModel100 = svm(t(training_data[featureRankedList[1:100],]), as.factor(training_grp), cost = 0.1, kernel="linear" )
testPredSVM10[u] <- mean (predict(svmModel10,t(test_data[featureRankedList[1:10],])) == as.factor(test_grp))
testPredSVM100[u] <- mean (predict(svmModel100,t(test_data[featureRankedList[1:100],])) == as.factor(test_grp))
#switchbox39
#classifier = SWAP.KTSP.Train(training_data, as.factor(training_grp),FilterFunc = NULL,krange = seq(3,9,by=2))
#testPredSw39[u] <- mean(SWAP.KTSP.Classify(test_data, classifier) == test_grp)
#kSw39[u] = dim(classifier$TSPs)[1]
#ktsp defined func
# classifier9 = ktsp(training_data,training_grp,k=9)
# testPred9TSP[u] = mean(predictktsp(test_data, classifier9) == test_grp)
# classifierS9 = ktspSecondScore(training_data,training_grp,k=9)
# testPredS9TSP[u] = mean(predictktsp(test_data, classifierS9) == test_grp)
#tspair
#tsp <- tspcalc(training_data, training_grp)
#corpredictsp[u]<-mean(predict(tsp,data.matrix(test_data))==test_grp)
cat(u,"\n")
u=u+1
}
}
#results
{
mean(testPredDT)
mean(nfeatsDT)
mean(corpredicktspair39)
mean(kktspair39)
mean(testPredNB)
mean(corpredicpam)
mean(nfeatsPAM)
mean(testPredSVM10)
mean(testPredSVM100)
mean(testPredSw39)
mean(kSw39)
mean(testPred9TSP)
mean(testPredS9TSP)
mean(corpredictsp)
}
#write results
{
write.csv(testPredDT,file= "DT.csv" )
write.csv(corpredicktspair39,file= "ktspair.csv" )
write.csv(testPredNB,file= "NB.csv" )
write.csv(corpredicpam,file= "PAM.csv" )
write.csv(testPredSVM10,file= "SVM10.csv" )
write.csv(testPredSVM100,file= "SVM100.csv" )
write.csv(testPredSw39,file= "switk39.csv" )
write.csv(testPred9TSP,file= "9tsp.csv" )
write.csv(testPredS9TSP,file= "S9tsp.csv" )
write.csv(corpredictsp,file= "tsp.csv" )
}
|
outputpng <- "~/projects/datasciencecoursera/explore/a1/ExData_Plotting1/plot2.png"
# Download power consumption data and read into R (view code in prepData.R)
source("prepData.R")
data <- getPowerConsumptionDataFrame()
# Open png
png(file = outputpng, width = 480, height = 480)
# Write out graph
plot(data$datetime, data$Global_active_power, type = "o", pch = "", xlab = "", ylab = "Global Active Power (kilowatts)")
# Close and save png
dev.off() | /plot2.R | no_license | solatido/ExData_Plotting1 | R | false | false | 453 | r | outputpng <- "~/projects/datasciencecoursera/explore/a1/ExData_Plotting1/plot2.png"
# Download power consumption data and read into R (view code in prepData.R)
source("prepData.R")
data <- getPowerConsumptionDataFrame()
# Open png
png(file = outputpng, width = 480, height = 480)
# Write out graph
plot(data$datetime, data$Global_active_power, type = "o", pch = "", xlab = "", ylab = "Global Active Power (kilowatts)")
# Close and save png
dev.off() |
plot.alignment.in.3d <- function(x1, y1, z1,
x2, y2, z2,
path1, path2,
draw.text = FALSE)
{
foo <- plot.in.3d(x1, y1, z1, radius = 0.01)
foo <- plot.in.3d(x2, y2, z2, new.plot=FALSE, color.base = 'g', radius = 0.01)
for (a in 1:length(path1))
{
lines3d(c(x1[best.res$path1[a]],
x2[best.res$path2[a]]),
c(y1[best.res$path1[a]],
y2[best.res$path2[a]]),
c(z1[best.res$path1[a]],
z2[best.res$path2[a]]),
color="green")
rgl.texts((x1[best.res$path1[a]] + x2[best.res$path2[a]]) / 2,
(y1[best.res$path1[a]] + y2[best.res$path2[a]]) / 2,
(z1[best.res$path1[a]] + z2[best.res$path2[a]]) / 2,
text = a, color = "white")
}
} | /plots.3d.R | no_license | browarsoftware/headmotions | R | false | false | 852 | r |
plot.alignment.in.3d <- function(x1, y1, z1,
x2, y2, z2,
path1, path2,
draw.text = FALSE)
{
foo <- plot.in.3d(x1, y1, z1, radius = 0.01)
foo <- plot.in.3d(x2, y2, z2, new.plot=FALSE, color.base = 'g', radius = 0.01)
for (a in 1:length(path1))
{
lines3d(c(x1[best.res$path1[a]],
x2[best.res$path2[a]]),
c(y1[best.res$path1[a]],
y2[best.res$path2[a]]),
c(z1[best.res$path1[a]],
z2[best.res$path2[a]]),
color="green")
rgl.texts((x1[best.res$path1[a]] + x2[best.res$path2[a]]) / 2,
(y1[best.res$path1[a]] + y2[best.res$path2[a]]) / 2,
(z1[best.res$path1[a]] + z2[best.res$path2[a]]) / 2,
text = a, color = "white")
}
} |
### Enter directory containing downloaded source files
source_dir="/home/source_dir/"
### Enter directory containing SNP array genotype data
array_dir="/home/array_dir/"
### Is the genotype data in PLINK *.ped format or GenomeStudio matrix *.txt format?
### Enter "PLINK" or "GS":
format="PLINK"
### Enter filename of X chromosome genotype data
X_raw="Prostate_X_plink.ped"
### Enter filename of Y chromosome genotype data
Y_raw="Prostate_Y_plink.ped"
### Enter desired filename of sex inference output file
output="sex_results.txt"
##################################
##################################
##################################
### 1. Fit logistic regression model to males and females from prostate cancer and ovarian cancer GWAS TRAINING SET
ref <- read.delim(paste(c(source_dir, "XY_data.txt"), collapse=""), sep="\t", stringsAsFactors=FALSE, header=TRUE)
fit <- glm(factor(true_sex) ~ XH + YM, family="binomial", data=ref)
### 2. Import TEST SET genotype data
if (format == "GS") {
X <- read.delim(paste(c(array_dir, X_raw), collapse=""), sep="\t", skip=9, stringsAsFactors=FALSE, header=TRUE)
X <- as.matrix(X[,(2:ncol(X))])
Y <- read.delim(paste(c(array_dir, Y_raw), collapse=""), sep="\t", skip=9, stringsAsFactors=FALSE, header=TRUE)
Y <- as.matrix(Y[,(2:ncol(Y))])
} else {
X <- read.delim(paste(c(array_dir, X_raw), collapse=""), sep=" ", stringsAsFactors=FALSE, header=FALSE)
X <- as.matrix(X[,(7:ncol(X))])
Y <- read.delim(paste(c(array_dir, Y_raw), collapse=""), sep=" ", stringsAsFactors=FALSE, header=FALSE)
Y <- as.matrix(Y[,(7:ncol(Y))])
}
### 3. Compute X chromosome heterzygosity for TEST SET data
if (format == "GS") {
XH <- rep(0, ncol(X))
scorecard <- matrix(0, nrow=length(XH), ncol=2)
HZ <- function(x) {
if (nchar(x) == 2 & substr(x, 1, 1) != "-" & substr(x, 2, 2) != "-") {
if (substr(x, 1, 1) != substr(x, 2, 2)) {
return(c(1, 0))
} else {
return(c(0, 0))
}
} else {
return(c(0, 1))
}
}
pb <- txtProgressBar(min = 0, max = length(XH), style = 3)
for (i in 1:length(XH)) {
Sys.sleep(0.001)
setTxtProgressBar(pb, i)
prelim <- lapply(X[,i], HZ)
scorecard <- do.call(rbind, prelim)
XH[i] <- sum(scorecard[,1])/(nrow(scorecard) - sum(scorecard[,2]))
}
close(pb)
rm(pb)
} else {
XH <- rep(0, nrow(X))
pb <- txtProgressBar(min = 0, max = length(XH), style = 3)
for (i in 1:length(XH)) {
Sys.sleep(0.001)
setTxtProgressBar(pb, i)
allele1 <- X[i, seq(1, (ncol(X)-1), 2)]
allele2 <- X[i, seq(2, ncol(X), 2)]
missing <- union(which(allele1 == "0"), which(allele2 == "0"))
XH[i] <- length(which(allele1 != allele2))/(ncol(X)/2 - length(missing))
}
close(pb)
rm(pb)
}
### 4. Compute Y chromosome missingness for TEST SET data
if (format == "GS") {
YM <- rep(0, ncol(Y))
pb <- txtProgressBar(min = 0, max = length(YM), style = 3)
for (i in 1:length(YM)) {
Sys.sleep(0.001)
setTxtProgressBar(pb, i)
YM[i] <- length(which(Y[,i] == "--"))/nrow(Y)
}
close(pb)
rm(pb)
} else {
YM <- rep(0, nrow(Y))
pb <- txtProgressBar(min = 0, max = length(YM), style = 3)
for (i in 1:length(YM)) {
allele1 <- Y[i, seq(1, (ncol(Y)-1), 2)]
allele2 <- Y[i, seq(2, ncol(Y), 2)]
YM[i] <- length(union(which(allele1 == "0"), which(allele2 == "0")))/(ncol(Y)/2)
}
close(pb)
rm(pb)
}
### 5. Infer sex from XH and YM
### Male = 1, Female = 2
testset <- data.frame(Subject=1:length(XH), XH, YM)
probs <- as.numeric(predict(fit, testset, type="response"))
testset$Predicted <- (probs > 0.5)*1+1
### 6. Print results
write.table(testset, paste(c(array_dir, output), collapse=""), sep="\t", row.name=FALSE, col.names=TRUE, quote=FALSE)
| /seXY.R | no_license | Christopher-Amos-Lab/seXY | R | false | false | 3,922 | r | ### Enter directory containing downloaded source files
source_dir="/home/source_dir/"
### Enter directory containing SNP array genotype data
array_dir="/home/array_dir/"
### Is the genotype data in PLINK *.ped format or GenomeStudio matrix *.txt format?
### Enter "PLINK" or "GS":
format="PLINK"
### Enter filename of X chromosome genotype data
X_raw="Prostate_X_plink.ped"
### Enter filename of Y chromosome genotype data
Y_raw="Prostate_Y_plink.ped"
### Enter desired filename of sex inference output file
output="sex_results.txt"
##################################
##################################
##################################
### 1. Fit logistic regression model to males and females from prostate cancer and ovarian cancer GWAS TRAINING SET
ref <- read.delim(paste(c(source_dir, "XY_data.txt"), collapse=""), sep="\t", stringsAsFactors=FALSE, header=TRUE)
fit <- glm(factor(true_sex) ~ XH + YM, family="binomial", data=ref)
### 2. Import TEST SET genotype data
if (format == "GS") {
X <- read.delim(paste(c(array_dir, X_raw), collapse=""), sep="\t", skip=9, stringsAsFactors=FALSE, header=TRUE)
X <- as.matrix(X[,(2:ncol(X))])
Y <- read.delim(paste(c(array_dir, Y_raw), collapse=""), sep="\t", skip=9, stringsAsFactors=FALSE, header=TRUE)
Y <- as.matrix(Y[,(2:ncol(Y))])
} else {
X <- read.delim(paste(c(array_dir, X_raw), collapse=""), sep=" ", stringsAsFactors=FALSE, header=FALSE)
X <- as.matrix(X[,(7:ncol(X))])
Y <- read.delim(paste(c(array_dir, Y_raw), collapse=""), sep=" ", stringsAsFactors=FALSE, header=FALSE)
Y <- as.matrix(Y[,(7:ncol(Y))])
}
### 3. Compute X chromosome heterzygosity for TEST SET data
if (format == "GS") {
XH <- rep(0, ncol(X))
scorecard <- matrix(0, nrow=length(XH), ncol=2)
HZ <- function(x) {
if (nchar(x) == 2 & substr(x, 1, 1) != "-" & substr(x, 2, 2) != "-") {
if (substr(x, 1, 1) != substr(x, 2, 2)) {
return(c(1, 0))
} else {
return(c(0, 0))
}
} else {
return(c(0, 1))
}
}
pb <- txtProgressBar(min = 0, max = length(XH), style = 3)
for (i in 1:length(XH)) {
Sys.sleep(0.001)
setTxtProgressBar(pb, i)
prelim <- lapply(X[,i], HZ)
scorecard <- do.call(rbind, prelim)
XH[i] <- sum(scorecard[,1])/(nrow(scorecard) - sum(scorecard[,2]))
}
close(pb)
rm(pb)
} else {
XH <- rep(0, nrow(X))
pb <- txtProgressBar(min = 0, max = length(XH), style = 3)
for (i in 1:length(XH)) {
Sys.sleep(0.001)
setTxtProgressBar(pb, i)
allele1 <- X[i, seq(1, (ncol(X)-1), 2)]
allele2 <- X[i, seq(2, ncol(X), 2)]
missing <- union(which(allele1 == "0"), which(allele2 == "0"))
XH[i] <- length(which(allele1 != allele2))/(ncol(X)/2 - length(missing))
}
close(pb)
rm(pb)
}
### 4. Compute Y chromosome missingness for TEST SET data
if (format == "GS") {
YM <- rep(0, ncol(Y))
pb <- txtProgressBar(min = 0, max = length(YM), style = 3)
for (i in 1:length(YM)) {
Sys.sleep(0.001)
setTxtProgressBar(pb, i)
YM[i] <- length(which(Y[,i] == "--"))/nrow(Y)
}
close(pb)
rm(pb)
} else {
YM <- rep(0, nrow(Y))
pb <- txtProgressBar(min = 0, max = length(YM), style = 3)
for (i in 1:length(YM)) {
allele1 <- Y[i, seq(1, (ncol(Y)-1), 2)]
allele2 <- Y[i, seq(2, ncol(Y), 2)]
YM[i] <- length(union(which(allele1 == "0"), which(allele2 == "0")))/(ncol(Y)/2)
}
close(pb)
rm(pb)
}
### 5. Infer sex from XH and YM
### Male = 1, Female = 2
testset <- data.frame(Subject=1:length(XH), XH, YM)
probs <- as.numeric(predict(fit, testset, type="response"))
testset$Predicted <- (probs > 0.5)*1+1
### 6. Print results
write.table(testset, paste(c(array_dir, output), collapse=""), sep="\t", row.name=FALSE, col.names=TRUE, quote=FALSE)
|
# Function creates a "matrix" object, along with a get, set get-inverse and set-inverse methods.
makeCacheMatrix <- function(x = matrix()) {
m <- NULL # initialise cache
set <- function(y) {
x <<- y
m <<- NULL
}
get <- function() x
setinv <- function(solve) m <<- solve
getinv <- function() m
# return functions to caller
list(set = set, get = get,
setinv = setinv,
getinv = getinv)
}
# Function utilises the makeCacheMatrix object to calculate the inverse of the intial matrix.
cacheSolve <- function(x, ...) {
m <- x$getinv() # obtain result
if(!is.null(m)) { # if result is empty, send a message
message("getting cached data")
return(m)
}
data <- x$get() # obtain current result
m <- solve(data, ...) # calculate inverse matrix
x$setinv(m) # cache the result
m # return the result
} | /cachematrix.R | no_license | ryan402/ProgrammingAssignment2 | R | false | false | 916 | r | # Function creates a "matrix" object, along with a get, set get-inverse and set-inverse methods.
makeCacheMatrix <- function(x = matrix()) {
m <- NULL # initialise cache
set <- function(y) {
x <<- y
m <<- NULL
}
get <- function() x
setinv <- function(solve) m <<- solve
getinv <- function() m
# return functions to caller
list(set = set, get = get,
setinv = setinv,
getinv = getinv)
}
# Function utilises the makeCacheMatrix object to calculate the inverse of the intial matrix.
cacheSolve <- function(x, ...) {
m <- x$getinv() # obtain result
if(!is.null(m)) { # if result is empty, send a message
message("getting cached data")
return(m)
}
data <- x$get() # obtain current result
m <- solve(data, ...) # calculate inverse matrix
x$setinv(m) # cache the result
m # return the result
} |
## ---------------------------
##
## Script name: ui.R
##
## Purpose of script: user interface for CORONAinJena-App
##
## Author: Ben Phillips, Volker Holzendorf
##
## Date Created: 2020-03-12, 2020-03-29
##
## Email: statistik@jena.de
##
## ---------------------------
##
## Notes:
## Diese Datei übersetzt das Sktript von Ben Phillips ins Deutsche und
## adaptiert dies für die Daten der Landkreise in Deutschland
##
## --------------------------
## load up the packages we will need
library(shiny)
## ---------------------------
## load up our functions into memory
## source files
lastdate <-Sys.Date()-1
source("functions.R")
source("getRKIdata.R")
source("getmapVDZdata.R")
source("getISbedsTHdata.R")
## ---------------------------
## ---------------------------
options(scipen=9999)
# Define UI
shinyUI(
fluidPage(
# Application title
titlePanel("Coronavirus 10-Tages Vorhersage auf Landkreisebene in Deutschland"),
p("Entwickelt von Volker Holzendorf, Stadtverwaltung Jena, Fachdienst Haushalt, Controlling und Organisationsentwicklung, Team Controlling und Statistik"),
navbarPage(
p(format(dates[length(dates)], "%d %b")),
tabPanel("Deutschlandkarte: Reproduktionszahl",
# Sidebar
sidebarLayout(
sidebarPanel(
titlePanel("Reproduktionszahl in Deutschlands Stadt- bzw. Landkreisen"),
h4("Deutschlandkarte als Heatmap der Reproduktionszahl der (bekannten) COVID 19 Patienten"),
p("Es kann bis zu 10 Tage in die Vergangenheit geschaut werden."),
dateInput("rpzdat", "Wahle ein Datum", value = lastdate,language = "de",format = "d. MM yyyy"),
),
mainPanel(
img(src='LichtstadtJenaneu.png', align = "right",height = 40),
plotOutput("rpzplot"),
hr(),
p(""),
h4("Reproduktionszahl in den Bundesländern:"),
tableOutput(outputId = "rpztabBL"),
hr()
)
)
)
)
)
)
| /ui.R | permissive | StatistikVolker/CORONA_App_Jena | R | false | false | 2,107 | r | ## ---------------------------
##
## Script name: ui.R
##
## Purpose of script: user interface for CORONAinJena-App
##
## Author: Ben Phillips, Volker Holzendorf
##
## Date Created: 2020-03-12, 2020-03-29
##
## Email: statistik@jena.de
##
## ---------------------------
##
## Notes:
## Diese Datei übersetzt das Sktript von Ben Phillips ins Deutsche und
## adaptiert dies für die Daten der Landkreise in Deutschland
##
## --------------------------
## load up the packages we will need
library(shiny)
## ---------------------------
## load up our functions into memory
## source files
lastdate <-Sys.Date()-1
source("functions.R")
source("getRKIdata.R")
source("getmapVDZdata.R")
source("getISbedsTHdata.R")
## ---------------------------
## ---------------------------
options(scipen=9999)
# Define UI
shinyUI(
fluidPage(
# Application title
titlePanel("Coronavirus 10-Tages Vorhersage auf Landkreisebene in Deutschland"),
p("Entwickelt von Volker Holzendorf, Stadtverwaltung Jena, Fachdienst Haushalt, Controlling und Organisationsentwicklung, Team Controlling und Statistik"),
navbarPage(
p(format(dates[length(dates)], "%d %b")),
tabPanel("Deutschlandkarte: Reproduktionszahl",
# Sidebar
sidebarLayout(
sidebarPanel(
titlePanel("Reproduktionszahl in Deutschlands Stadt- bzw. Landkreisen"),
h4("Deutschlandkarte als Heatmap der Reproduktionszahl der (bekannten) COVID 19 Patienten"),
p("Es kann bis zu 10 Tage in die Vergangenheit geschaut werden."),
dateInput("rpzdat", "Wahle ein Datum", value = lastdate,language = "de",format = "d. MM yyyy"),
),
mainPanel(
img(src='LichtstadtJenaneu.png', align = "right",height = 40),
plotOutput("rpzplot"),
hr(),
p(""),
h4("Reproduktionszahl in den Bundesländern:"),
tableOutput(outputId = "rpztabBL"),
hr()
)
)
)
)
)
)
|
% Generated by roxygen2 (4.1.0): do not edit by hand
% Please edit documentation in R/adherence.R
\name{new_adherence}
\alias{new_adherence}
\title{Adherence function}
\usage{
new_adherence(n = 100, type = "markov", markov = list(p11 = 0.75, p01 =
0.75), p_binom = 0.7)
}
\description{
Adherence function
}
| /man/new_adherence.Rd | permissive | yookhwan/PKPDsim | R | false | false | 310 | rd | % Generated by roxygen2 (4.1.0): do not edit by hand
% Please edit documentation in R/adherence.R
\name{new_adherence}
\alias{new_adherence}
\title{Adherence function}
\usage{
new_adherence(n = 100, type = "markov", markov = list(p11 = 0.75, p01 =
0.75), p_binom = 0.7)
}
\description{
Adherence function
}
|
#' Calculate analyte concentration (ppm) from plate reader absorbance values
#'
#' This function calculates analyte concentration from absorbance values within an exported Gen5 Excel table. Returns a dataframe.
#' @param assay.data.raw An excel table exported from the Gen5 software.
#' @param sample.IDs A 2-column dataframe consisting of 'well_ID' (e.g., A12) and 'sample' (a sample ID mapped to each well_ID)
#' @param standard.IDs A 2-column dataframe consisting of 'well_ID' (e.g., A12) and 'standard' (a standard concentration, generally in parts per million, mapped to each well_ID)
#' @keywords calculate concentration excel
#' @export
#' @examples
#' abs_to_ppm
abs_to_ppm <- function(assay.data.raw, sample.IDs, standard.IDs) {
#remove header info from Gen5 Excel output
suppressWarnings(
assay_data <- assay.data.raw %>%
slice(-c(1:33)) %>%
row_to_names(1) %>%
clean_names() %>%
filter(!is.na(.[,2]),
!.[,2] == "Curve Name",
!.[,2] == "StdCurve") %>%
rename("well_row" = names(.[,2])) %>%
select(-1, -15)
)
assay_data_long <- assay_data %>%
pivot_longer(cols = 2:ncol(.),
values_to = "absorbance",
names_to = "well_column") %>%
mutate(well_ID = str_c(well_row, well_column),
well_ID = str_remove(well_ID, "x"),
absorbance = as.numeric(absorbance)) %>%
select(well_ID, absorbance)
suppressMessages(
sample_data <- assay_data_long %>%
left_join(., sampleIDs) %>%
filter(!is.na(sample)) %>%
mutate(rowID = as.character(seq(1:nrow(.))))
)
suppressMessages(
standard_data <- assay_data_long %>%
left_join(., standardIDs) %>%
filter(!is.na(standard))
)
# use lm to predict analyte concentration
curve <- lm(standard ~ absorbance, data = standard_data)
predicted_vals <- predict(curve, newdata = sample_data)
concentrations <- predicted_vals %>%
as.data.frame() %>%
rename("ppm" = ".") %>%
rownames_to_column("rowID") %>%
left_join(sample_data, ., "rowID") %>%
select(-rowID)
concentrations
}
| /.Rproj.user/D2E2CF1A/sources/s-317BE811/C23A42A9-contents | no_license | mselensky/platereadR | R | false | false | 2,122 | #' Calculate analyte concentration (ppm) from plate reader absorbance values
#'
#' This function calculates analyte concentration from absorbance values within an exported Gen5 Excel table. Returns a dataframe.
#' @param assay.data.raw An excel table exported from the Gen5 software.
#' @param sample.IDs A 2-column dataframe consisting of 'well_ID' (e.g., A12) and 'sample' (a sample ID mapped to each well_ID)
#' @param standard.IDs A 2-column dataframe consisting of 'well_ID' (e.g., A12) and 'standard' (a standard concentration, generally in parts per million, mapped to each well_ID)
#' @keywords calculate concentration excel
#' @export
#' @examples
#' abs_to_ppm
abs_to_ppm <- function(assay.data.raw, sample.IDs, standard.IDs) {
#remove header info from Gen5 Excel output
suppressWarnings(
assay_data <- assay.data.raw %>%
slice(-c(1:33)) %>%
row_to_names(1) %>%
clean_names() %>%
filter(!is.na(.[,2]),
!.[,2] == "Curve Name",
!.[,2] == "StdCurve") %>%
rename("well_row" = names(.[,2])) %>%
select(-1, -15)
)
assay_data_long <- assay_data %>%
pivot_longer(cols = 2:ncol(.),
values_to = "absorbance",
names_to = "well_column") %>%
mutate(well_ID = str_c(well_row, well_column),
well_ID = str_remove(well_ID, "x"),
absorbance = as.numeric(absorbance)) %>%
select(well_ID, absorbance)
suppressMessages(
sample_data <- assay_data_long %>%
left_join(., sampleIDs) %>%
filter(!is.na(sample)) %>%
mutate(rowID = as.character(seq(1:nrow(.))))
)
suppressMessages(
standard_data <- assay_data_long %>%
left_join(., standardIDs) %>%
filter(!is.na(standard))
)
# use lm to predict analyte concentration
curve <- lm(standard ~ absorbance, data = standard_data)
predicted_vals <- predict(curve, newdata = sample_data)
concentrations <- predicted_vals %>%
as.data.frame() %>%
rename("ppm" = ".") %>%
rownames_to_column("rowID") %>%
left_join(sample_data, ., "rowID") %>%
select(-rowID)
concentrations
}
| |
library(shiny)
# Define UI for application that draws a histogram
shinyUI(pageWithSidebar(
# Application title
headerPanel("Triathlon Time Estimator"),
# Sidebar with a slider input for the number of bins
sidebarPanel(
h4("Swim Pace (min/100m)", align = "center"),
column(12,
column(6,
numericInput("Minutes:",
min = 0,
max = 60,
value = 1,
inputId = "swim_min")),
column(6, numericInput("Seconds:",
min = 0,
max = 60,
value = 30,
inputId = "swim_sec"))),
helpText(textOutput("swim_time"), align = "center"),
h4("Bike Pace (mph)", align = "center"),
column(12,
column(12,
numericInput(
label="Mph:",
min = 0,
max = 80,
step=0.1,
value = 20,
inputId = "bike_pace"))),
helpText(textOutput("bike_time"), align = "center"),
h4("Run Pace (min/mile)", align = "center"),
column(12,
column(6,
numericInput("Minutes:",
min = 0,
max = 80,
value = 6,
inputId = "run_min")),
column(6, numericInput("Seconds:",
min = 0,
max = 60,
value = 30,
inputId = "run_sec"))),
helpText(textOutput("run_time"), align = "center"),
tags$hr(),
# Option of including transition times
checkboxInput('showPanel1', 'Include Transition times', FALSE),
conditionalPanel(condition = 'input.showPanel1',
wellPanel(
h3("Transition Times:", align = "center"),
h4("#1", align = "center"),
column(12,
column(6,
numericInput("Minutes:",
min = 0,
max = 60,
value = 0,
inputId = "T1_min")),
column(6, numericInput("Seconds:",
min = 0,
max = 60,
value = 0,
inputId = "T1_sec"))),
h4("#2", align = "center"),
column(12,
column(6,
numericInput("Minutes:",
min = 0,
max = 60,
value = 0,
inputId = "T2_min")),
column(6, numericInput("Seconds:",
min = 0,
max = 60,
value = 0,
inputId = "T2_sec"))),
# create extra gray space
br(), br(), br()
)
)
),
# Display total time and adjusting distances
mainPanel(br(),h1(textOutput("total_time"), align = "center", style = "font-size: 100px; font-size: 14vw;"),
helpText("(Hr : Min : Sec)", align = "center", style = "font-size: 100px; font-size: 3vw;"),
br(),br(),br(),br(),br(),
checkboxInput('showPanel2', 'Adjust Distances', FALSE),
conditionalPanel(condition = 'input.showPanel2',
wellPanel(
h3("Adjust Course Distances", align = "center"),
helpText("If you know your exact course distances, enter them here:"),
column(12,
column(4,
numericInput("Swim Distance: (m)",
min = 0,
max = 10000,
value = 1500,
inputId = "swim_dist")),
column(4,
numericInput("Bike Distance (mi)",
min = 0,
max = 200,
value = 24.9,
step=0.1,
inputId = "bike_dist")),
column(4, numericInput("Run Distance (mi):",
min = 0,
max = 30,
value = 6.2,
step=0.1,
inputId = "run_dist"))),
br(), br(), br(), br()) # So that gray box extends below text
)
)
))
| /ui.R | permissive | pbieberstein/Triathlon_estimator | R | false | false | 6,561 | r | library(shiny)
# Define UI for application that draws a histogram
shinyUI(pageWithSidebar(
# Application title
headerPanel("Triathlon Time Estimator"),
# Sidebar with a slider input for the number of bins
sidebarPanel(
h4("Swim Pace (min/100m)", align = "center"),
column(12,
column(6,
numericInput("Minutes:",
min = 0,
max = 60,
value = 1,
inputId = "swim_min")),
column(6, numericInput("Seconds:",
min = 0,
max = 60,
value = 30,
inputId = "swim_sec"))),
helpText(textOutput("swim_time"), align = "center"),
h4("Bike Pace (mph)", align = "center"),
column(12,
column(12,
numericInput(
label="Mph:",
min = 0,
max = 80,
step=0.1,
value = 20,
inputId = "bike_pace"))),
helpText(textOutput("bike_time"), align = "center"),
h4("Run Pace (min/mile)", align = "center"),
column(12,
column(6,
numericInput("Minutes:",
min = 0,
max = 80,
value = 6,
inputId = "run_min")),
column(6, numericInput("Seconds:",
min = 0,
max = 60,
value = 30,
inputId = "run_sec"))),
helpText(textOutput("run_time"), align = "center"),
tags$hr(),
# Option of including transition times
checkboxInput('showPanel1', 'Include Transition times', FALSE),
conditionalPanel(condition = 'input.showPanel1',
wellPanel(
h3("Transition Times:", align = "center"),
h4("#1", align = "center"),
column(12,
column(6,
numericInput("Minutes:",
min = 0,
max = 60,
value = 0,
inputId = "T1_min")),
column(6, numericInput("Seconds:",
min = 0,
max = 60,
value = 0,
inputId = "T1_sec"))),
h4("#2", align = "center"),
column(12,
column(6,
numericInput("Minutes:",
min = 0,
max = 60,
value = 0,
inputId = "T2_min")),
column(6, numericInput("Seconds:",
min = 0,
max = 60,
value = 0,
inputId = "T2_sec"))),
# create extra gray space
br(), br(), br()
)
)
),
# Display total time and adjusting distances
mainPanel(br(),h1(textOutput("total_time"), align = "center", style = "font-size: 100px; font-size: 14vw;"),
helpText("(Hr : Min : Sec)", align = "center", style = "font-size: 100px; font-size: 3vw;"),
br(),br(),br(),br(),br(),
checkboxInput('showPanel2', 'Adjust Distances', FALSE),
conditionalPanel(condition = 'input.showPanel2',
wellPanel(
h3("Adjust Course Distances", align = "center"),
helpText("If you know your exact course distances, enter them here:"),
column(12,
column(4,
numericInput("Swim Distance: (m)",
min = 0,
max = 10000,
value = 1500,
inputId = "swim_dist")),
column(4,
numericInput("Bike Distance (mi)",
min = 0,
max = 200,
value = 24.9,
step=0.1,
inputId = "bike_dist")),
column(4, numericInput("Run Distance (mi):",
min = 0,
max = 30,
value = 6.2,
step=0.1,
inputId = "run_dist"))),
br(), br(), br(), br()) # So that gray box extends below text
)
)
))
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/BSDA-package.R
\docType{data}
\name{Backtoback}
\alias{Backtoback}
\title{Illustrates inferences based on pooled t-test versus Wilcoxon rank sum test}
\format{A data frame with 24 observations on the following 3 variables.
\describe{
\item{score}{a numeric vector}
\item{group}{a numeric vector}
}}
\source{
Kitchens, L. J. (2003) \emph{Basic Statistics and Data Analysis}.
Duxbury
}
\usage{
Backtoback
}
\description{
Data for Exercise 7.40
}
\examples{
wilcox.test(score ~ group, data = Backtoback)
t.test(score ~ group, data = Backtoback)
}
\keyword{datasets}
| /man/Backtoback.Rd | no_license | lelou6666/BSDA | R | false | true | 647 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/BSDA-package.R
\docType{data}
\name{Backtoback}
\alias{Backtoback}
\title{Illustrates inferences based on pooled t-test versus Wilcoxon rank sum test}
\format{A data frame with 24 observations on the following 3 variables.
\describe{
\item{score}{a numeric vector}
\item{group}{a numeric vector}
}}
\source{
Kitchens, L. J. (2003) \emph{Basic Statistics and Data Analysis}.
Duxbury
}
\usage{
Backtoback
}
\description{
Data for Exercise 7.40
}
\examples{
wilcox.test(score ~ group, data = Backtoback)
t.test(score ~ group, data = Backtoback)
}
\keyword{datasets}
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/sampling.R
\name{new_sample}
\alias{new_sample}
\title{Generate particles and select one to be the new sample}
\usage{
new_sample(
s,
data,
num_particles,
parameters,
efficient_mu = NULL,
efficient_sig2 = NULL,
mix_proportion = c(0.5, 0.5, 0),
likelihood_func = NULL,
epsilon = 1,
subjects = NULL
)
}
\arguments{
\item{s}{A number - the index of the subject. For \code{s == 1} The first
subject ID from the \code{data} subject column will be selected. For
\code{s == 2} the second unique value for subject id will be used.}
\item{data}{A data.frame (or similar object) which contains the data against
which the particles are assessed. The only strict requirement is that
it contains a subject column named as such to allow for the splitting
of the data by unique subject id. The provided log likelihood function
is the only other contact with the data.}
\item{num_particles}{The total number of particles to generate using a
combination of the three methods.}
\item{parameters}{A list containing:
\describe{
\item{\code{tmu}}{The vector of means for the multivariate normal}
\item{\code{tsig}}{A covariate matrix for the multivariate normal}
\item{\code{alpha}}{An array of individual subject random effects}
}}
\item{efficient_mu}{The mu value for the efficient proposals}
\item{efficient_sig2}{The sigma value for the efficient proposals}
\item{mix_proportion}{A vector of floats between 0 and 1 and summing to 1
which give the proportion of particles to generate from the population
level parameters, the individual random effects and the conditional
parameters respectively}
\item{likelihood_func}{A likelihood function for calculating log likelihood
of samples. Usually provided internally in \code{run_stage} from the pmwgs
object.}
\item{epsilon}{A scaling factor to reduce the variance on the distribution
based on subject random effects when generating particles.}
\item{subjects}{A list of unique subject ids in the order they appear in
the data.frame}
}
\value{
A single sample from the new proposals
}
\description{
Generate a new sample for a particular subject given their data and the
new model parameter estimates. This should not be called directly, rather it
is used internally to run_stage.
}
\details{
The function that controls the generation of new samples for the Particle
Metropolis within Gibbs sampler. It generates samples from either the initial
proposal or from the last iteration of the sampler. This function should not
usually need to be called, as the \code{run_stage} function uses this
internally.
The way it selects a new sample is by generating proposal particles from up
to three different distributions (according to a mixing proportion).
The first distribution is based on the current model parameter sample values.
The second distribution is based on the last random effects for the subject.
The third distribution is only used in the final sampling phase and is based
on the conditional distribution built from accepted particles in the adapt
phase of the sampler.
}
\keyword{internal}
| /man/new_sample.Rd | no_license | cran/pmwg | R | false | true | 3,143 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/sampling.R
\name{new_sample}
\alias{new_sample}
\title{Generate particles and select one to be the new sample}
\usage{
new_sample(
s,
data,
num_particles,
parameters,
efficient_mu = NULL,
efficient_sig2 = NULL,
mix_proportion = c(0.5, 0.5, 0),
likelihood_func = NULL,
epsilon = 1,
subjects = NULL
)
}
\arguments{
\item{s}{A number - the index of the subject. For \code{s == 1} The first
subject ID from the \code{data} subject column will be selected. For
\code{s == 2} the second unique value for subject id will be used.}
\item{data}{A data.frame (or similar object) which contains the data against
which the particles are assessed. The only strict requirement is that
it contains a subject column named as such to allow for the splitting
of the data by unique subject id. The provided log likelihood function
is the only other contact with the data.}
\item{num_particles}{The total number of particles to generate using a
combination of the three methods.}
\item{parameters}{A list containing:
\describe{
\item{\code{tmu}}{The vector of means for the multivariate normal}
\item{\code{tsig}}{A covariate matrix for the multivariate normal}
\item{\code{alpha}}{An array of individual subject random effects}
}}
\item{efficient_mu}{The mu value for the efficient proposals}
\item{efficient_sig2}{The sigma value for the efficient proposals}
\item{mix_proportion}{A vector of floats between 0 and 1 and summing to 1
which give the proportion of particles to generate from the population
level parameters, the individual random effects and the conditional
parameters respectively}
\item{likelihood_func}{A likelihood function for calculating log likelihood
of samples. Usually provided internally in \code{run_stage} from the pmwgs
object.}
\item{epsilon}{A scaling factor to reduce the variance on the distribution
based on subject random effects when generating particles.}
\item{subjects}{A list of unique subject ids in the order they appear in
the data.frame}
}
\value{
A single sample from the new proposals
}
\description{
Generate a new sample for a particular subject given their data and the
new model parameter estimates. This should not be called directly, rather it
is used internally to run_stage.
}
\details{
The function that controls the generation of new samples for the Particle
Metropolis within Gibbs sampler. It generates samples from either the initial
proposal or from the last iteration of the sampler. This function should not
usually need to be called, as the \code{run_stage} function uses this
internally.
The way it selects a new sample is by generating proposal particles from up
to three different distributions (according to a mixing proportion).
The first distribution is based on the current model parameter sample values.
The second distribution is based on the last random effects for the subject.
The third distribution is only used in the final sampling phase and is based
on the conditional distribution built from accepted particles in the adapt
phase of the sampler.
}
\keyword{internal}
|
test_that("dependencies are not reformatted if new value is the same", {
desc <- description$new(test_path("D1"))
desc$set("Imports", "R6")
before <- desc$get("Imports")
desc$set_dep("R6")
after <- desc$get("Imports")
expect_equal(before, after)
desc <- description$new(test_path("D1"))
desc$set("Imports", "R6")
before <- desc$get("Imports")
desc$set_deps(data.frame(package = "R6", type = "Imports", version = "*"))
after <- desc$get("Imports")
expect_equal(before, after)
})
test_that("collate fields are not reformatted if new value is the same", {
desc <- description$new(test_path("D1"))
desc$set("Collate", "'foo.R' 'bar.R' foobar.R")
before <- desc$get("Collate")
desc$set_collate(desc$get_collate())
after <- desc$get("Collate")
expect_equal(before, after)
})
| /tests/testthat/test-idempotent.R | permissive | cran/desc | R | false | false | 813 | r |
test_that("dependencies are not reformatted if new value is the same", {
desc <- description$new(test_path("D1"))
desc$set("Imports", "R6")
before <- desc$get("Imports")
desc$set_dep("R6")
after <- desc$get("Imports")
expect_equal(before, after)
desc <- description$new(test_path("D1"))
desc$set("Imports", "R6")
before <- desc$get("Imports")
desc$set_deps(data.frame(package = "R6", type = "Imports", version = "*"))
after <- desc$get("Imports")
expect_equal(before, after)
})
test_that("collate fields are not reformatted if new value is the same", {
desc <- description$new(test_path("D1"))
desc$set("Collate", "'foo.R' 'bar.R' foobar.R")
before <- desc$get("Collate")
desc$set_collate(desc$get_collate())
after <- desc$get("Collate")
expect_equal(before, after)
})
|
rm(list = ls())
args <- commandArgs(TRUE)
wd <- args[1]
query <- args[2]
service <- args[3]
setwd(wd) #Don't forget to set your working directory
renv::activate()
renv::restore(lockfile = '../renv.lock')
Sys.setlocale(category="LC_ALL", locale = "en_US.UTF-8")
library(jsonlite)
library(logging)
source('utils.R')
if (Sys.getenv("BASE_LOGLEVEL") == "DEBUG") {
DEBUG <- FALSE
} else {
DEBUG <- TRUE
}
if (DEBUG==TRUE){
setup_logging('DEBUG')
} else {
setup_logging('INFO')
}
tslog <- getLogger('ts')
f <- file("stdin")
open(f)
data = fromJSON(readLines(f))
params <- data$params
if (!is.null(params$lang_id)) {
lang_id <- params$lang_id
} else {
lang_id <- 'all'
}
source('altmetrics.R')
source('base.R')
limit = 120
list_size = 100
failed <- list(params=params)
tryCatch({
input_data = get_papers(query, params, limit=limit)
}, error=function(err){
tslog$error(gsub("\n", " ", paste("Query failed", service, query, paste(params, collapse=" "), err, sep="||")))
failed$query <<- query
failed$query_reason <<- err$message
})
print(toJSON(input_data$metadata))
print(toJSON(input_data$text))
| /server/preprocessing/other-scripts/run_base.R | permissive | dasch124/Headstart | R | false | false | 1,121 | r | rm(list = ls())
args <- commandArgs(TRUE)
wd <- args[1]
query <- args[2]
service <- args[3]
setwd(wd) #Don't forget to set your working directory
renv::activate()
renv::restore(lockfile = '../renv.lock')
Sys.setlocale(category="LC_ALL", locale = "en_US.UTF-8")
library(jsonlite)
library(logging)
source('utils.R')
if (Sys.getenv("BASE_LOGLEVEL") == "DEBUG") {
DEBUG <- FALSE
} else {
DEBUG <- TRUE
}
if (DEBUG==TRUE){
setup_logging('DEBUG')
} else {
setup_logging('INFO')
}
tslog <- getLogger('ts')
f <- file("stdin")
open(f)
data = fromJSON(readLines(f))
params <- data$params
if (!is.null(params$lang_id)) {
lang_id <- params$lang_id
} else {
lang_id <- 'all'
}
source('altmetrics.R')
source('base.R')
limit = 120
list_size = 100
failed <- list(params=params)
tryCatch({
input_data = get_papers(query, params, limit=limit)
}, error=function(err){
tslog$error(gsub("\n", " ", paste("Query failed", service, query, paste(params, collapse=" "), err, sep="||")))
failed$query <<- query
failed$query_reason <<- err$message
})
print(toJSON(input_data$metadata))
print(toJSON(input_data$text))
|
## These functions are used together to cache the inverse of a matrix
## The first function can be given an invertible matrix, and returns a list containing four functions. "setinverse" stores
## the calculated inverse of the matrix in a cache, "getinverse" retrieves the cached value, the "get" function
## returns the matrix itself, and "set" allows the matrix to be changed while resetting the cached inverse.
makeCacheMatrix <- function(x = numeric()) {
inv <- NULL
set <- function(y) {
x <<- y
inv <<- NULL
}
get <- function() x
setinverse <- function(inverse) inv <<- inverse
getinverse <- function() inv
list(set = set, get = get,
setinverse = setinverse,
getinverse = getinverse)
}
## This function is used on the output of makeCacheMatrix and calculates the inverse of the matrix inside.
cachesolve <- function(x, ...) {
inv <- x$getinverse()
if(!is.null(inv)) {
message("getting cached data")
return(inv)
}
data <- x$get()
inv <- solve(data, ...)
x$setinverse(inv)
inv
}
| /cachematrix.R | no_license | floondi/ProgrammingAssignment2 | R | false | false | 1,189 | r | ## These functions are used together to cache the inverse of a matrix
## The first function can be given an invertible matrix, and returns a list containing four functions. "setinverse" stores
## the calculated inverse of the matrix in a cache, "getinverse" retrieves the cached value, the "get" function
## returns the matrix itself, and "set" allows the matrix to be changed while resetting the cached inverse.
makeCacheMatrix <- function(x = numeric()) {
inv <- NULL
set <- function(y) {
x <<- y
inv <<- NULL
}
get <- function() x
setinverse <- function(inverse) inv <<- inverse
getinverse <- function() inv
list(set = set, get = get,
setinverse = setinverse,
getinverse = getinverse)
}
## This function is used on the output of makeCacheMatrix and calculates the inverse of the matrix inside.
cachesolve <- function(x, ...) {
inv <- x$getinverse()
if(!is.null(inv)) {
message("getting cached data")
return(inv)
}
data <- x$get()
inv <- solve(data, ...)
x$setinverse(inv)
inv
}
|
fluidPage(
# Application title
titlePanel("Tumor Image Processing"),
sidebarLayout(
# Sidebar with a slider input
sidebarPanel(
conditionalPanel(condition="input.conditionedPanels == 'Single Image Processing'",
helpText("Please select a .tif file from the
folder you wish to view the updated images and histogram for.
You can change the file by once again clicking on the 'Browse' button."),
#File input
fileInput("file1", "Choose a File"
)
),
conditionalPanel(condition= "input.conditionedPanels == 'Batch Image Processing'",
helpText("Please select the directory for the folder you would like to
batch process by clicking on the 'Folder Select' button.
When the folder has been selected, click the button labeled
'Start Processing'to begin. Wait for the files to be processed."),
shinyFiles::shinyDirButton('directory', 'Folder select', 'Please select a folder'),
actionButton("batch", "Start Processing"),
helpText("Select a minimum number of pixels in image for valid image"),
sliderInput("slider", label= "slider",min= 200, max=100000, value=20000)
),
conditionalPanel(condition= "input.conditionedPanels == 'HELP ME'",
helpText("Thank you for using our app!"),
helpText("To the right you will find some instructions on how to use the app.")
)),
# Show outputs
mainPanel(
# Output: Tabset w/ plot, summary, and table ----
tabsetPanel(type = "tabs",
tabPanel("Single Image Processing", helpText("Here you will see the Otsu's Threshold Histogram for the selected file.
The threshold is marked with the vertical black line. The threshold value will also be printed below."),
fluidRow(column(width = 12,plotOutput("plot"))),
fluidRow(column(width = 12,textOutput("threshCap"))),
br(),
helpText("Below you will find both the original image located in the file you
chose and the updated black and white threshold image. The percent vascularization for
the file is displayed below the images."),
fluidRow(column(width = 6,plotOutput("image1")), column(width = 6,plotOutput("image2"))),
fluidRow(column(width = 12,textOutput("vasc"))),
br(),
br()
),
tabPanel("Batch Image Processing",
helpText("Here is a table containing the percent vascularization of the tumor images you selected. The images in yellow are flagged based
on the number chosen using the slider"),
DT::dataTableOutput("table")
),
tabPanel("HELP ME", helpText(tags$h4("Single Image Processing")),
helpText("1. Click on the 'Single Image Processing' tab. button on the left hand side of the app"),
helpText("2. Click on the button on the left hand side of the app"),
helpText(tags$h6("-This allows you to choose a file")),
helpText(tags$h6("-Please make sure the images are .tif files")),
helpText("3. The histogram and images will be located on the left hand side. This takes a minute so be patient."),
helpText(tags$h4("Batch Processing (multiple images)")),
helpText("If you wish to batch process multiple images in a new folder follow these instructions:"),
helpText("1. Click on the “Batch Processing” tab"),
helpText("2. Click folder select button"),
helpText("3. Select the path directory by clicking on the folder paths"),
helpText("4. Select the count number using to slider to choose how to flag images."),
helpText("5. When you have finished selecting the path and slider value, click on the button that says “Start Processing”"),
helpText("6. You may have to wait a while if the folder contains many images"),
helpText("7. When the batchprocessing is finished, a table will appear"),
helpText("8. A new excel file with the data can be found in the chosen folder"),
helpText(tags$caption(" -NOTE: you can determine if this is working if a new folder appears labeled
threshold_images inside the folder where you selected to batch process the
images and that there are new images within the new folder")),
helpText(tags$h4("Viewing Other Tabs in the App")),
helpText("1. The default tab is the “Single Image Processing” Tab"),
helpText(tags$h6("-This tab shows the original image and the thresholded
image selected through the Browse button. It also provides the Otsu's
Threshold histogram for the selected image file")),
helpText("2. The second tab is the “Batch Processing” Tab"),
helpText(tags$h6("-Under this tab is a print out of the percent vascularization
and file names from the images in the chosen folder")),
helpText(tags$h6("-You can seach for specific files using the search tool.
You may also choose how many rows you wish to see at a time.")),
helpText("3. The third tab is the“HELP ME”tab"),
helpText(tags$h6("-This tab contains a short guide on how to use the app")),
helpText(tags$h4("Analyzing the results")),
helpText("-The percentages found under the table tab give the percent
vascularization for the tumor image. This is done by analyzing the percentage
of white pixels within the box given by the Threshold
image that is produced by the app."),
helpText("-An excel file will be generated and placed in the directory of the images being processed
with the vascularity percents and image names."),
helpText("-A new folder will be added to the directory chosen that contains the thresholded images.")
),
id = "conditionedPanels"
)
)
)
)
| /ui.R | no_license | rbotts/TumorQuant | R | false | false | 7,504 | r | fluidPage(
# Application title
titlePanel("Tumor Image Processing"),
sidebarLayout(
# Sidebar with a slider input
sidebarPanel(
conditionalPanel(condition="input.conditionedPanels == 'Single Image Processing'",
helpText("Please select a .tif file from the
folder you wish to view the updated images and histogram for.
You can change the file by once again clicking on the 'Browse' button."),
#File input
fileInput("file1", "Choose a File"
)
),
conditionalPanel(condition= "input.conditionedPanels == 'Batch Image Processing'",
helpText("Please select the directory for the folder you would like to
batch process by clicking on the 'Folder Select' button.
When the folder has been selected, click the button labeled
'Start Processing'to begin. Wait for the files to be processed."),
shinyFiles::shinyDirButton('directory', 'Folder select', 'Please select a folder'),
actionButton("batch", "Start Processing"),
helpText("Select a minimum number of pixels in image for valid image"),
sliderInput("slider", label= "slider",min= 200, max=100000, value=20000)
),
conditionalPanel(condition= "input.conditionedPanels == 'HELP ME'",
helpText("Thank you for using our app!"),
helpText("To the right you will find some instructions on how to use the app.")
)),
# Show outputs
mainPanel(
# Output: Tabset w/ plot, summary, and table ----
tabsetPanel(type = "tabs",
tabPanel("Single Image Processing", helpText("Here you will see the Otsu's Threshold Histogram for the selected file.
The threshold is marked with the vertical black line. The threshold value will also be printed below."),
fluidRow(column(width = 12,plotOutput("plot"))),
fluidRow(column(width = 12,textOutput("threshCap"))),
br(),
helpText("Below you will find both the original image located in the file you
chose and the updated black and white threshold image. The percent vascularization for
the file is displayed below the images."),
fluidRow(column(width = 6,plotOutput("image1")), column(width = 6,plotOutput("image2"))),
fluidRow(column(width = 12,textOutput("vasc"))),
br(),
br()
),
tabPanel("Batch Image Processing",
helpText("Here is a table containing the percent vascularization of the tumor images you selected. The images in yellow are flagged based
on the number chosen using the slider"),
DT::dataTableOutput("table")
),
tabPanel("HELP ME", helpText(tags$h4("Single Image Processing")),
helpText("1. Click on the 'Single Image Processing' tab. button on the left hand side of the app"),
helpText("2. Click on the button on the left hand side of the app"),
helpText(tags$h6("-This allows you to choose a file")),
helpText(tags$h6("-Please make sure the images are .tif files")),
helpText("3. The histogram and images will be located on the left hand side. This takes a minute so be patient."),
helpText(tags$h4("Batch Processing (multiple images)")),
helpText("If you wish to batch process multiple images in a new folder follow these instructions:"),
helpText("1. Click on the “Batch Processing” tab"),
helpText("2. Click folder select button"),
helpText("3. Select the path directory by clicking on the folder paths"),
helpText("4. Select the count number using to slider to choose how to flag images."),
helpText("5. When you have finished selecting the path and slider value, click on the button that says “Start Processing”"),
helpText("6. You may have to wait a while if the folder contains many images"),
helpText("7. When the batchprocessing is finished, a table will appear"),
helpText("8. A new excel file with the data can be found in the chosen folder"),
helpText(tags$caption(" -NOTE: you can determine if this is working if a new folder appears labeled
threshold_images inside the folder where you selected to batch process the
images and that there are new images within the new folder")),
helpText(tags$h4("Viewing Other Tabs in the App")),
helpText("1. The default tab is the “Single Image Processing” Tab"),
helpText(tags$h6("-This tab shows the original image and the thresholded
image selected through the Browse button. It also provides the Otsu's
Threshold histogram for the selected image file")),
helpText("2. The second tab is the “Batch Processing” Tab"),
helpText(tags$h6("-Under this tab is a print out of the percent vascularization
and file names from the images in the chosen folder")),
helpText(tags$h6("-You can seach for specific files using the search tool.
You may also choose how many rows you wish to see at a time.")),
helpText("3. The third tab is the“HELP ME”tab"),
helpText(tags$h6("-This tab contains a short guide on how to use the app")),
helpText(tags$h4("Analyzing the results")),
helpText("-The percentages found under the table tab give the percent
vascularization for the tumor image. This is done by analyzing the percentage
of white pixels within the box given by the Threshold
image that is produced by the app."),
helpText("-An excel file will be generated and placed in the directory of the images being processed
with the vascularity percents and image names."),
helpText("-A new folder will be added to the directory chosen that contains the thresholded images.")
),
id = "conditionedPanels"
)
)
)
)
|
setwd("~/Coursera/Exploratory/Project1/ExData_Plotting1")
tidydata<-read.csv("household_power_consumption.txt",sep=";",
header=TRUE,na.strings="?",stringsAsFactors=FALSE)
library(dplyr)
library(lubridate)
tidydata$date_time = dmy_hms(paste(tidydata$Date,tidydata$Time))
tidydata<-select(tidydata,date_time,Global_active_power:Sub_metering_3)
tidydata<-filter(tidydata,year(date_time)=='2007',
month(date_time)=='2',day(date_time)==1|day(date_time)==2)
hist(tidydata$Global_active_power,col='red',
main='Global Active Power',
xlab='Global Active Power (kilowatts)')
dev.copy(png,file="plot1.png")
dev.off()
| /plot1.R | no_license | dalemillar/Individual-Power | R | false | false | 681 | r | setwd("~/Coursera/Exploratory/Project1/ExData_Plotting1")
tidydata<-read.csv("household_power_consumption.txt",sep=";",
header=TRUE,na.strings="?",stringsAsFactors=FALSE)
library(dplyr)
library(lubridate)
tidydata$date_time = dmy_hms(paste(tidydata$Date,tidydata$Time))
tidydata<-select(tidydata,date_time,Global_active_power:Sub_metering_3)
tidydata<-filter(tidydata,year(date_time)=='2007',
month(date_time)=='2',day(date_time)==1|day(date_time)==2)
hist(tidydata$Global_active_power,col='red',
main='Global Active Power',
xlab='Global Active Power (kilowatts)')
dev.copy(png,file="plot1.png")
dev.off()
|
#************************************************
# Brandon Cabaleiro
# RCS: cabalb
# RIN: 661648482
# 6000 Level
#
# This R code is for Group 4 ida1.R
#************************************************
library(kknn)
data(ionosphere)
# class is categorical var.
i2<-ionosphere[,-1]
i2<-i2[,-1]
# class is categorical var.
library(MASS)
ifit <- lda(class ~ ., data=i2, na.action="na.omit", CV=TRUE)
summary(ifit)
ctable <- table(i2$class, ifit$class)
diag(prop.table(ctable, 1))
# total percent correct
sum(diag(prop.table(ctable)))
| /Lab/Group4/DataAnalytics_Group4_Brandon_Cabaleiro_ida1.R | no_license | brandon-cabaleiro/DataAnalytics2021_Brandon_Cabaleiro | R | false | false | 558 | r | #************************************************
# Brandon Cabaleiro
# RCS: cabalb
# RIN: 661648482
# 6000 Level
#
# This R code is for Group 4 ida1.R
#************************************************
library(kknn)
data(ionosphere)
# class is categorical var.
i2<-ionosphere[,-1]
i2<-i2[,-1]
# class is categorical var.
library(MASS)
ifit <- lda(class ~ ., data=i2, na.action="na.omit", CV=TRUE)
summary(ifit)
ctable <- table(i2$class, ifit$class)
diag(prop.table(ctable, 1))
# total percent correct
sum(diag(prop.table(ctable)))
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/simulation.R
\name{parallel.trial}
\alias{parallel.trial}
\title{Simulated Dose-finding Trial}
\usage{
parallel.trial(true, n, cores = 1, K, size, cycle_prob, cycle_time,
target, samples, assessment, fixed, mode, stopping, least, dropout,
od_control, mcmc_chains = 4, mcmc_samples = 3000)
}
\arguments{
\item{true}{Matrix; Pre-defined true dose-toxicity relationship. The input should be a 2-by-p matrix, with the 1st row being the
p dose levels and the 2nd row being the corresponding probability of DLT.}
\item{n}{Integer; Number of trials to be simulated. Minimum of 1.}
\item{cores}{Integer; Number of cores to utilize for parallel computing. Defaults to 1.}
\item{K}{Integer; Number of treatment cycles considered.}
\item{size}{Integer; Number of patients to enrolled in each cohort.}
\item{cycle_prob}{K-simplex; A vector that contains the true probability of DLT happening in each of the cycles. Sums up to one.}
\item{cycle_time}{Integer; Duration of a single treatment cycle (NOT entire treatment window!). Units are arbitrary.}
\item{target}{The defined target probability of toxicity. For point-estimate-based decision rules, please input a single numeric value.
For interval-estimate-based decision rules, please input a vector indicating the target toxicity range, e.g. c(0.2, 0.33).}
\item{samples}{Integer; The maximum number of patients to be enrolled into the trial. Also serves as the default stopping rule.}
\item{assessment}{Integer; The cycle in which the model is assessed to determine the dose level of the next cohort (1 means the model is assessed
after the completion of the 1st cycle of each cohort, 2 means 2nd cycle...).}
\item{fixed}{Boolean; TRUE if patients in the same cohort are enrolled at the same time. FALSE if the enrollment time of patients in the same
cohort follows a Uniform (0, cycle_time).}
\item{mode}{Integer; Determine which decision rule to implement to perform dose escalation / de-escalation. 1 = Original CRM, 2 = Inverse Point-Estimate,
3 = BLRM, 4 = Ratio. Defaults to 1. For details on the decision rule please refer to the report.}
\item{stopping}{Integer; Defined the stopping criteria. 1 = stop the trial when maximum enrollment is achieved, 2 = stop the trial if at least 12
patients are enrolled and 9 patients have already been treated at the next recommended dose. Defaults to 1.}
\item{least}{Integer; Least amount of patients to enrolled if using the second stopping rule. Defaults to 12, directly impacts "stopping".}
\item{dropout}{Boolean; TRUE if patient dropout time is assumened to follow an exponential distribution with a cumulative probability of 15% at the end
of the treatment window.}
\item{od_control}{Double (0 - 1); Escalation with overdose control. Escalate to the next dose if the probability of overdosing does not exceed the
input probability. No overdose control if od_control is set to 1.}
\item{mcmc_chains}{Integer; Number of chains to consider during MCMC sampling. Defaults to 3.}
\item{mcmc_samples}{Integer; Numbers of samples from the posterior distribution of the betas. Default to 3000 with a burn-in period of 500
samples.}
}
\value{
Returns a list with two sublist.
###########################################################################
The first sublist contains the two information tables of the simulated trials.
The first table provides the allocation of patients and number of DLTs averaged over all simulations.
The second table gives the summary information of the simulations. Below are the meaning of the summary information.
# The first four probabilities sums up to 1.
P(Choose True MTD): Probability of choosing the true MTD as the final recommended dose.
P(Choose Over MTD): Probability of choosing a dose level above the true MTD as the final recommended dose.
P(Choose Under MTD): Probability of choosing a dose level below the true MTD as the final recommended dose.
P(No Selection): Probability of terminating the trial due to all dose levels deemed toxic.
Mean Final Dose: Numeric average of the final recommended dose.
Allo Under / True / Over MTD: Average allocation of patients under / at / over the true MTD during trials.
Total / Prop DLT: Average total number and proportion of patients who had DLT.
Patients Enrolled / Trial Duration: Average number of patients enrolled before meeting stopping criteria
and duration of the trials.
Computation Time: Average computation time of a trial.
###########################################################################
The second sublist gives the detail generated information table of each trial. The last element within the sublist
gives the total computation time of simulated trials.
}
\description{
This function simulates a user defined number of dose-finding trials with the pre-specified design in parallel.
}
\examples{
################################# Example 1 ################################
# Simple uniform 2-cycle treatment design simulation with 4 trials and 4 cores. #
set.seed(1031)
dose1 = rbind(1:5, c(0.05, 0.1, 0.25, 0.4, 0.6))
n1 = 4
cores1 = 4
K1 = 2
size1 = 3
cycle_prob1 = c(0.5, 0.5)
cycle_time1 = 30
samples1 = 36
assessment1 = 1
fixed1 = TRUE
mode1 = 1
stopping1 = 1
least1 = 12
dropout1 = FALSE
od_control1 = 0.8
target1 = 0.25
mcmc_chains = 4
mcmc_samples = 1000
# Simulate 4 trials in parallel with 4 cores according to the defined parameters. #
test = parallel.trial(dose1, n1, cores1, K1, size1, cycle_prob1, cycle_time1, target1, samples1, assessment1,
fixed1, mode1, stopping1, least1, dropout1, od_control1, mcmc_chains, mcmc_samples)
################################# Example 2 ################################
# 3-cycle treatment design simulation with 4 trials and 4 cores. #
# BLRM Decision Rule
# Early Dropout
set.seed(1031)
dose2 = rbind(1:5, c(0.05, 0.1, 0.25, 0.4, 0.6))
n2 = 4
cores2 = 4
K2 = 3
size2 = 3
cycle_prob2 = c(0.25, 0.25, 0.5)
cycle_time2 = 30
samples2 = 36
assessment2 = 2
fixed2 = TRUE
mode2 = 3
stopping2 = 2
least2 = 12
dropout2 = TRUE
od_control2 = 0.75
target2 = c(0.2, 0.33)
mcmc_chains = 3
mcmc_samples = 2000
# Simulate 4 trials in parallel with 4 cores according to the defined parameters. #
test = parallel.trial(dose2, n2, cores2, K2, size2, cycle_prob2, cycle_time2, target2, samples2, assessment2,
fixed2, mode2, stopping2, least2, dropout2, od_control2, mcmc_chains, mcmc_samples)
}
| /AWBLRM/man/parallel.trial.Rd | no_license | cralo31/awblrm | R | false | true | 6,448 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/simulation.R
\name{parallel.trial}
\alias{parallel.trial}
\title{Simulated Dose-finding Trial}
\usage{
parallel.trial(true, n, cores = 1, K, size, cycle_prob, cycle_time,
target, samples, assessment, fixed, mode, stopping, least, dropout,
od_control, mcmc_chains = 4, mcmc_samples = 3000)
}
\arguments{
\item{true}{Matrix; Pre-defined true dose-toxicity relationship. The input should be a 2-by-p matrix, with the 1st row being the
p dose levels and the 2nd row being the corresponding probability of DLT.}
\item{n}{Integer; Number of trials to be simulated. Minimum of 1.}
\item{cores}{Integer; Number of cores to utilize for parallel computing. Defaults to 1.}
\item{K}{Integer; Number of treatment cycles considered.}
\item{size}{Integer; Number of patients to enrolled in each cohort.}
\item{cycle_prob}{K-simplex; A vector that contains the true probability of DLT happening in each of the cycles. Sums up to one.}
\item{cycle_time}{Integer; Duration of a single treatment cycle (NOT entire treatment window!). Units are arbitrary.}
\item{target}{The defined target probability of toxicity. For point-estimate-based decision rules, please input a single numeric value.
For interval-estimate-based decision rules, please input a vector indicating the target toxicity range, e.g. c(0.2, 0.33).}
\item{samples}{Integer; The maximum number of patients to be enrolled into the trial. Also serves as the default stopping rule.}
\item{assessment}{Integer; The cycle in which the model is assessed to determine the dose level of the next cohort (1 means the model is assessed
after the completion of the 1st cycle of each cohort, 2 means 2nd cycle...).}
\item{fixed}{Boolean; TRUE if patients in the same cohort are enrolled at the same time. FALSE if the enrollment time of patients in the same
cohort follows a Uniform (0, cycle_time).}
\item{mode}{Integer; Determine which decision rule to implement to perform dose escalation / de-escalation. 1 = Original CRM, 2 = Inverse Point-Estimate,
3 = BLRM, 4 = Ratio. Defaults to 1. For details on the decision rule please refer to the report.}
\item{stopping}{Integer; Defined the stopping criteria. 1 = stop the trial when maximum enrollment is achieved, 2 = stop the trial if at least 12
patients are enrolled and 9 patients have already been treated at the next recommended dose. Defaults to 1.}
\item{least}{Integer; Least amount of patients to enrolled if using the second stopping rule. Defaults to 12, directly impacts "stopping".}
\item{dropout}{Boolean; TRUE if patient dropout time is assumened to follow an exponential distribution with a cumulative probability of 15% at the end
of the treatment window.}
\item{od_control}{Double (0 - 1); Escalation with overdose control. Escalate to the next dose if the probability of overdosing does not exceed the
input probability. No overdose control if od_control is set to 1.}
\item{mcmc_chains}{Integer; Number of chains to consider during MCMC sampling. Defaults to 3.}
\item{mcmc_samples}{Integer; Numbers of samples from the posterior distribution of the betas. Default to 3000 with a burn-in period of 500
samples.}
}
\value{
Returns a list with two sublist.
###########################################################################
The first sublist contains the two information tables of the simulated trials.
The first table provides the allocation of patients and number of DLTs averaged over all simulations.
The second table gives the summary information of the simulations. Below are the meaning of the summary information.
# The first four probabilities sums up to 1.
P(Choose True MTD): Probability of choosing the true MTD as the final recommended dose.
P(Choose Over MTD): Probability of choosing a dose level above the true MTD as the final recommended dose.
P(Choose Under MTD): Probability of choosing a dose level below the true MTD as the final recommended dose.
P(No Selection): Probability of terminating the trial due to all dose levels deemed toxic.
Mean Final Dose: Numeric average of the final recommended dose.
Allo Under / True / Over MTD: Average allocation of patients under / at / over the true MTD during trials.
Total / Prop DLT: Average total number and proportion of patients who had DLT.
Patients Enrolled / Trial Duration: Average number of patients enrolled before meeting stopping criteria
and duration of the trials.
Computation Time: Average computation time of a trial.
###########################################################################
The second sublist gives the detail generated information table of each trial. The last element within the sublist
gives the total computation time of simulated trials.
}
\description{
This function simulates a user defined number of dose-finding trials with the pre-specified design in parallel.
}
\examples{
################################# Example 1 ################################
# Simple uniform 2-cycle treatment design simulation with 4 trials and 4 cores. #
set.seed(1031)
dose1 = rbind(1:5, c(0.05, 0.1, 0.25, 0.4, 0.6))
n1 = 4
cores1 = 4
K1 = 2
size1 = 3
cycle_prob1 = c(0.5, 0.5)
cycle_time1 = 30
samples1 = 36
assessment1 = 1
fixed1 = TRUE
mode1 = 1
stopping1 = 1
least1 = 12
dropout1 = FALSE
od_control1 = 0.8
target1 = 0.25
mcmc_chains = 4
mcmc_samples = 1000
# Simulate 4 trials in parallel with 4 cores according to the defined parameters. #
test = parallel.trial(dose1, n1, cores1, K1, size1, cycle_prob1, cycle_time1, target1, samples1, assessment1,
fixed1, mode1, stopping1, least1, dropout1, od_control1, mcmc_chains, mcmc_samples)
################################# Example 2 ################################
# 3-cycle treatment design simulation with 4 trials and 4 cores. #
# BLRM Decision Rule
# Early Dropout
set.seed(1031)
dose2 = rbind(1:5, c(0.05, 0.1, 0.25, 0.4, 0.6))
n2 = 4
cores2 = 4
K2 = 3
size2 = 3
cycle_prob2 = c(0.25, 0.25, 0.5)
cycle_time2 = 30
samples2 = 36
assessment2 = 2
fixed2 = TRUE
mode2 = 3
stopping2 = 2
least2 = 12
dropout2 = TRUE
od_control2 = 0.75
target2 = c(0.2, 0.33)
mcmc_chains = 3
mcmc_samples = 2000
# Simulate 4 trials in parallel with 4 cores according to the defined parameters. #
test = parallel.trial(dose2, n2, cores2, K2, size2, cycle_prob2, cycle_time2, target2, samples2, assessment2,
fixed2, mode2, stopping2, least2, dropout2, od_control2, mcmc_chains, mcmc_samples)
}
|
context("m2r parser")
m2_parse_test <- function(m2_str, m2_expected_output) {
out <- m2_parse(m2_str)
if (is.m2(out) && !is.null(m2_name(out))) m2_name(out) <- ""
expect_equal(out, m2_expected_output)
}
test_that("m2_parse parses basic data structures",{
m2_list <- "{1,2,3}"
m2_list_output <- structure(
list(1,2,3),
class = c("m2_list","m2")
)
m2_parse_test(m2_list,m2_list_output)
m2_array <- "[1,2,3]"
m2_array_output <- structure(
list(1,2,3),
class = c("m2_array", "m2")
)
m2_parse_test(m2_array,m2_array_output)
m2_sequence <- "(1,2,3)"
m2_sequence_output <- structure(list(1,2,3), class = c("m2_sequence", "m2"))
m2_parse_test(m2_sequence, m2_sequence_output)
m2_str <- "\"my string\""
m2_str_output <- "my string"
m2_parse_test(m2_str, m2_str_output)
m2_opt <- "c => 4"
m2_opt_output <- structure(
list(structure("c", class = c("m2_symbol", "m2")), 4),
class = c("m2_option", "m2")
)
m2_parse_test(m2_opt,m2_opt_output)
m2_new_thing <- "new HashTable from {A => 1}"
m2_new_thing_output <- structure(
list(structure(
list(structure("A", class = c("m2_symbol", "m2")),1),
class = c("m2_option", "m2")
)),
class = c("m2_hashtable", "m2"))
m2_parse_test(m2_new_thing, m2_new_thing_output)
# toExternalString(matrix{{1,2,3},{4,5,6}})
m2_matrix <- "map((ZZ)^2,(ZZ)^3,{{1, 2, 3}, {4, 5, 6}})"
m2_matrix_output <- m2_structure(
matrix(c(1,4,2,5,3,6), nrow = 2, ncol = 3),
m2_name = "",
m2_class = "m2_matrix",
m2_meta = list(
ring = coefring_as_ring("ZZ")
),
base_class = "matrix"
)
m2_parse_test(m2_matrix,m2_matrix_output)
# toExternalString(matrix{{}})
m2_empty_matrix <- "map((ZZ)^1,(ZZ)^0,0)"
m2_empty_matrix_output <- m2_structure(
matrix(numeric(0), nrow = 0, ncol = 0),
m2_name = "",
m2_class = "m2_matrix",
m2_meta = list(
ring = coefring_as_ring("ZZ")
),
base_class = "matrix"
)
m2_parse_test(m2_empty_matrix,m2_empty_matrix_output)
# Test case where one ring has another ring as a prefix
m2_ring1 <- m2("R = CC[x]")
m2_ring2 <- m2("S = R[y]")
m2_second_ring <- "R(monoid[y, Degrees => {1}, Heft => {1}, MonomialOrder => VerticalList{MonomialSize => 32, GRevLex => {1}, Position => Up}, DegreeRank => 1])"
m2_second_ring_output <- m2_structure(
m2_name = "",
m2_class = "m2_polynomialring",
m2_meta = list(
vars = c("x","y"),
coefring = "CC",
order = "grevlex"
)
)
m2_parse_test(m2_second_ring,m2_second_ring_output)
# map(S,R,{s^3-t^2, s^3-t, s-t})
# m2_ring1 <- m2("R = QQ[a,b,c]")
# m2_ring2 <- m2("S = QQ[s,t]")
# m2_ring_map <- "map(S,R,{s^3-t^2, s^3-t, s-t})"
# m2_parse(m2_ring_map)
# m2_ring_map_output <- " "
})
test_that("m2 parses harder data structures", {
m2_poly_list <- "{b*c*e-a*d*f, a*c*e-b*d*f}"
m2_poly_list_output <- structure(
list(
structure("b*c*e-a*d*f", class = c("m2_expression", "m2")),
structure("a*c*e-b*d*f", class = c("m2_expression", "m2"))
),
class = c("m2_list", "m2")
)
m2_parse_test(m2_poly_list, m2_poly_list_output)
# toExternalString(factor(2^4*3^3))
m2_factor <- "new Product from {new Power from {2,4},new Power from {3,3}}"
m2_factor_output <- structure(
list(
structure(list(2,4), class = c("m2_power" , "m2")),
structure(list(3,3), class = c("m2_power" , "m2"))
),
class = c("m2_product", "m2")
)
m2_parse_test(m2_factor, m2_factor_output)
m2_compound_test <- "new OptionTable from {Headline => \"test\", Configuration => new OptionTable from {}}"
m2_compound_test_output <- structure(
list(
structure(
list(
structure("Headline", class = c("m2_symbol", "m2")),
"test"
),
class = c("m2_option","m2")
),
structure(
list(
structure("Configuration", class = c("m2_symbol", "m2")),
structure(list(),class=c("m2_optiontable","m2"))
),
class = c("m2_option", "m2")
)
),
class = c("m2_optiontable", "m2")
)
m2_parse_test(m2_compound_test, m2_compound_test_output)
# R = QQ[a,b,c,d,e,f]
# toExternalString(ideal(a*b*c-d*e*f,a*c*e-b*d*f))
m2("R = QQ[a,b,c,e,d,f]")
m2_ideal <- "map((R)^1,(R)^{1},{{a*b*c-d*e*f, a*c*e-b*d*f}})"
m2_ideal_output <- m2_structure(
structure(
list(
structure(
list(c("a"=1,"b"=1,"c"=1,"coef"=1), c("d"=1,"e"=1,"f"=1,"coef"=-1)),
class=c("mpoly")
),
structure(
list(c("a"=1,"c"=1,"e"=1,"coef"=1), c("b"=1,"d"=1,"f"=1,"coef"=-1)),
class=c("mpoly")
)
),
dim=c(1,2)
),
m2_name = "",
m2_class = "m2_matrix",
m2_meta = list(
ring = m2_structure(
m2_name = "R",
m2_class = "m2_polynomialring",
m2_meta = list(
vars = c("a","b","c","e","d","f"),
coefring = "QQ",
order="grevlex"
)
)
),
base_class = "matrix"
)
m2_parse_test(m2_ideal, m2_ideal_output)
# toExternalString(CC[x,y])
m2_ring <- "CC_53(monoid[x..z, a..d, Degrees => {2:1}, Heft => {1}, MonomialOrder => VerticalList{MonomialSize => 32, GRevLex => {2:1}, Position => Up}, DegreeRank => 1])"
m2_ring_output <- m2_structure(
m2_name = "",
m2_class = "m2_polynomialring",
m2_meta = list(
vars = c("x", "y", "z", "a", "b", "c", "d"),
coefring = "CC",
order = "grevlex"
)
)
m2_parse_test(m2_ring, m2_ring_output)
})
| /tests/testthat/test-m2_parser.R | no_license | rshhar/m2r | R | false | false | 5,539 | r | context("m2r parser")
m2_parse_test <- function(m2_str, m2_expected_output) {
out <- m2_parse(m2_str)
if (is.m2(out) && !is.null(m2_name(out))) m2_name(out) <- ""
expect_equal(out, m2_expected_output)
}
test_that("m2_parse parses basic data structures",{
m2_list <- "{1,2,3}"
m2_list_output <- structure(
list(1,2,3),
class = c("m2_list","m2")
)
m2_parse_test(m2_list,m2_list_output)
m2_array <- "[1,2,3]"
m2_array_output <- structure(
list(1,2,3),
class = c("m2_array", "m2")
)
m2_parse_test(m2_array,m2_array_output)
m2_sequence <- "(1,2,3)"
m2_sequence_output <- structure(list(1,2,3), class = c("m2_sequence", "m2"))
m2_parse_test(m2_sequence, m2_sequence_output)
m2_str <- "\"my string\""
m2_str_output <- "my string"
m2_parse_test(m2_str, m2_str_output)
m2_opt <- "c => 4"
m2_opt_output <- structure(
list(structure("c", class = c("m2_symbol", "m2")), 4),
class = c("m2_option", "m2")
)
m2_parse_test(m2_opt,m2_opt_output)
m2_new_thing <- "new HashTable from {A => 1}"
m2_new_thing_output <- structure(
list(structure(
list(structure("A", class = c("m2_symbol", "m2")),1),
class = c("m2_option", "m2")
)),
class = c("m2_hashtable", "m2"))
m2_parse_test(m2_new_thing, m2_new_thing_output)
# toExternalString(matrix{{1,2,3},{4,5,6}})
m2_matrix <- "map((ZZ)^2,(ZZ)^3,{{1, 2, 3}, {4, 5, 6}})"
m2_matrix_output <- m2_structure(
matrix(c(1,4,2,5,3,6), nrow = 2, ncol = 3),
m2_name = "",
m2_class = "m2_matrix",
m2_meta = list(
ring = coefring_as_ring("ZZ")
),
base_class = "matrix"
)
m2_parse_test(m2_matrix,m2_matrix_output)
# toExternalString(matrix{{}})
m2_empty_matrix <- "map((ZZ)^1,(ZZ)^0,0)"
m2_empty_matrix_output <- m2_structure(
matrix(numeric(0), nrow = 0, ncol = 0),
m2_name = "",
m2_class = "m2_matrix",
m2_meta = list(
ring = coefring_as_ring("ZZ")
),
base_class = "matrix"
)
m2_parse_test(m2_empty_matrix,m2_empty_matrix_output)
# Test case where one ring has another ring as a prefix
m2_ring1 <- m2("R = CC[x]")
m2_ring2 <- m2("S = R[y]")
m2_second_ring <- "R(monoid[y, Degrees => {1}, Heft => {1}, MonomialOrder => VerticalList{MonomialSize => 32, GRevLex => {1}, Position => Up}, DegreeRank => 1])"
m2_second_ring_output <- m2_structure(
m2_name = "",
m2_class = "m2_polynomialring",
m2_meta = list(
vars = c("x","y"),
coefring = "CC",
order = "grevlex"
)
)
m2_parse_test(m2_second_ring,m2_second_ring_output)
# map(S,R,{s^3-t^2, s^3-t, s-t})
# m2_ring1 <- m2("R = QQ[a,b,c]")
# m2_ring2 <- m2("S = QQ[s,t]")
# m2_ring_map <- "map(S,R,{s^3-t^2, s^3-t, s-t})"
# m2_parse(m2_ring_map)
# m2_ring_map_output <- " "
})
test_that("m2 parses harder data structures", {
m2_poly_list <- "{b*c*e-a*d*f, a*c*e-b*d*f}"
m2_poly_list_output <- structure(
list(
structure("b*c*e-a*d*f", class = c("m2_expression", "m2")),
structure("a*c*e-b*d*f", class = c("m2_expression", "m2"))
),
class = c("m2_list", "m2")
)
m2_parse_test(m2_poly_list, m2_poly_list_output)
# toExternalString(factor(2^4*3^3))
m2_factor <- "new Product from {new Power from {2,4},new Power from {3,3}}"
m2_factor_output <- structure(
list(
structure(list(2,4), class = c("m2_power" , "m2")),
structure(list(3,3), class = c("m2_power" , "m2"))
),
class = c("m2_product", "m2")
)
m2_parse_test(m2_factor, m2_factor_output)
m2_compound_test <- "new OptionTable from {Headline => \"test\", Configuration => new OptionTable from {}}"
m2_compound_test_output <- structure(
list(
structure(
list(
structure("Headline", class = c("m2_symbol", "m2")),
"test"
),
class = c("m2_option","m2")
),
structure(
list(
structure("Configuration", class = c("m2_symbol", "m2")),
structure(list(),class=c("m2_optiontable","m2"))
),
class = c("m2_option", "m2")
)
),
class = c("m2_optiontable", "m2")
)
m2_parse_test(m2_compound_test, m2_compound_test_output)
# R = QQ[a,b,c,d,e,f]
# toExternalString(ideal(a*b*c-d*e*f,a*c*e-b*d*f))
m2("R = QQ[a,b,c,e,d,f]")
m2_ideal <- "map((R)^1,(R)^{1},{{a*b*c-d*e*f, a*c*e-b*d*f}})"
m2_ideal_output <- m2_structure(
structure(
list(
structure(
list(c("a"=1,"b"=1,"c"=1,"coef"=1), c("d"=1,"e"=1,"f"=1,"coef"=-1)),
class=c("mpoly")
),
structure(
list(c("a"=1,"c"=1,"e"=1,"coef"=1), c("b"=1,"d"=1,"f"=1,"coef"=-1)),
class=c("mpoly")
)
),
dim=c(1,2)
),
m2_name = "",
m2_class = "m2_matrix",
m2_meta = list(
ring = m2_structure(
m2_name = "R",
m2_class = "m2_polynomialring",
m2_meta = list(
vars = c("a","b","c","e","d","f"),
coefring = "QQ",
order="grevlex"
)
)
),
base_class = "matrix"
)
m2_parse_test(m2_ideal, m2_ideal_output)
# toExternalString(CC[x,y])
m2_ring <- "CC_53(monoid[x..z, a..d, Degrees => {2:1}, Heft => {1}, MonomialOrder => VerticalList{MonomialSize => 32, GRevLex => {2:1}, Position => Up}, DegreeRank => 1])"
m2_ring_output <- m2_structure(
m2_name = "",
m2_class = "m2_polynomialring",
m2_meta = list(
vars = c("x", "y", "z", "a", "b", "c", "d"),
coefring = "CC",
order = "grevlex"
)
)
m2_parse_test(m2_ring, m2_ring_output)
})
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/sdhelper.r
\name{setup.results}
\alias{setup.results}
\title{Create results file}
\usage{
setup.results(ResultsFile, out.metrics, scale.vec, do.cwm = 0)
}
\arguments{
\item{ResultsFile}{The file that results will be written to.}
\item{out.metrics}{The fields to be calculated}
\item{scale.vec}{An indicator vector}
\item{do.cwm}{An indicator for whether community weighted means should be calculated. (Needs testing, may be broken)}
}
\description{
Set up the output results file and results dataframe
}
| /man/setup.results.Rd | no_license | akeyel/spatialdemography | R | false | true | 586 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/sdhelper.r
\name{setup.results}
\alias{setup.results}
\title{Create results file}
\usage{
setup.results(ResultsFile, out.metrics, scale.vec, do.cwm = 0)
}
\arguments{
\item{ResultsFile}{The file that results will be written to.}
\item{out.metrics}{The fields to be calculated}
\item{scale.vec}{An indicator vector}
\item{do.cwm}{An indicator for whether community weighted means should be calculated. (Needs testing, may be broken)}
}
\description{
Set up the output results file and results dataframe
}
|
\name{silhouette.partana}
\alias{silhouette.partana}
\alias{silhouette.clustering}
\alias{silhouette.stride}
\alias{testsil}
\title{Produce a Silhouette Object From a Partana, Clustering, or Stride Object}
\description{Extracts components from a \code{partana}, \code{clustering}, or \code{stride} object,
and passes the values to the \code{\link[cluster]{silhouette}} function to
produce an object of class silhouette.
}
\usage{
\method{silhouette}{partana}(x, dist, \dots)
\method{silhouette}{clustering}(x, dist, \dots)
\method{silhouette}{stride}(x, dist, \dots)
testsil(sil)
}
\arguments{
\item{x}{an object of class \sQuote{partana}, \sQuote{clustering}, or \sQuote{stride}}
\item{dist}{an object of class dist}
\item{\dots}{miscellaneous arguments to pass to function silhouette}
\item{sil}{an object of class \sQuote{silhouette}}
}
\details{For \sQuote{partana} and \sQuote{clustering} objects the advantage over
calling \code{\link[cluster]{silhouette}} directly is that the row.names of the resulting
object are added to the results, as opposed to consecutive integers.
For objects of class \sQuote{stride} the function extracts the component
\sQuote{clustering} for each level of a stride object, and calls function
\code{\link[cluster]{silhouette}} in library \sQuote{cluster}
returniung the mean silhouette width for each case.
\code{testsil} identifies \sQuote{misfits} in a partition, defined as plots with
a negative silhouette width, and prints them out in a sorted list.
}
\value{
An object of class \code{\link[cluster]{silhouette}}
}
\references{\url{http://ecology.msu.montana.edu/labdsv/R}}
\note{This is a a simple conversion routine to allow plotting a silhouette plot
for an object of class partana.}
\author{
David W. Roberts
\email{droberts@montana.edu}
}
\seealso{\code{\link[cluster]{silhouette}}}
\examples{
data(shoshveg) # produces a data frame of vegetation data,
#samples as rows, attributes as columns
dis.bc <- dsvdis(shoshveg,'bray/curtis') # produces a Bray/Curtis
# dissimilarity matrix
opt.5 <- optpart(5,dis.bc) # produces an optimal partitioning into
# 5 clusters
silhouette(opt.5,dis.bc) # calculates the silhouette values
\dontrun{plot(silhouette(opt.5,dis.bc))} # produce silhouette
# plot on current device
}
\keyword{cluster}
| /man/silhouette.Rd | no_license | cran/optpart | R | false | false | 2,459 | rd | \name{silhouette.partana}
\alias{silhouette.partana}
\alias{silhouette.clustering}
\alias{silhouette.stride}
\alias{testsil}
\title{Produce a Silhouette Object From a Partana, Clustering, or Stride Object}
\description{Extracts components from a \code{partana}, \code{clustering}, or \code{stride} object,
and passes the values to the \code{\link[cluster]{silhouette}} function to
produce an object of class silhouette.
}
\usage{
\method{silhouette}{partana}(x, dist, \dots)
\method{silhouette}{clustering}(x, dist, \dots)
\method{silhouette}{stride}(x, dist, \dots)
testsil(sil)
}
\arguments{
\item{x}{an object of class \sQuote{partana}, \sQuote{clustering}, or \sQuote{stride}}
\item{dist}{an object of class dist}
\item{\dots}{miscellaneous arguments to pass to function silhouette}
\item{sil}{an object of class \sQuote{silhouette}}
}
\details{For \sQuote{partana} and \sQuote{clustering} objects the advantage over
calling \code{\link[cluster]{silhouette}} directly is that the row.names of the resulting
object are added to the results, as opposed to consecutive integers.
For objects of class \sQuote{stride} the function extracts the component
\sQuote{clustering} for each level of a stride object, and calls function
\code{\link[cluster]{silhouette}} in library \sQuote{cluster}
returniung the mean silhouette width for each case.
\code{testsil} identifies \sQuote{misfits} in a partition, defined as plots with
a negative silhouette width, and prints them out in a sorted list.
}
\value{
An object of class \code{\link[cluster]{silhouette}}
}
\references{\url{http://ecology.msu.montana.edu/labdsv/R}}
\note{This is a a simple conversion routine to allow plotting a silhouette plot
for an object of class partana.}
\author{
David W. Roberts
\email{droberts@montana.edu}
}
\seealso{\code{\link[cluster]{silhouette}}}
\examples{
data(shoshveg) # produces a data frame of vegetation data,
#samples as rows, attributes as columns
dis.bc <- dsvdis(shoshveg,'bray/curtis') # produces a Bray/Curtis
# dissimilarity matrix
opt.5 <- optpart(5,dis.bc) # produces an optimal partitioning into
# 5 clusters
silhouette(opt.5,dis.bc) # calculates the silhouette values
\dontrun{plot(silhouette(opt.5,dis.bc))} # produce silhouette
# plot on current device
}
\keyword{cluster}
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/merge-data.R
\name{which_conflicts}
\alias{which_conflicts}
\title{return which rows of a merged \code{data.frame} contain conflicts}
\usage{
which_conflicts(merged)
}
\arguments{
\item{merged}{\code{data.frame} merged data.frame with possible conflicts.}
}
\value{
\code{integer} vector with row positions containing conflicts.
}
\description{
return which rows of a merged \code{data.frame} contain conflicts.
}
\examples{
parent <- a <- b <- iris[1:3,]
a[1,1] <- 10
b[2,1] <- 11
# succesful merge
merge_data(parent, a, b)
parent <- a <- b <- iris[1:3,]
a[1,1] <- 10
b[1,1] <- 11
# conflicting merge (both a and b change same cell)
merged <- merge_data(parent, a, b)
merged #note the conflict
#find out which rows contain a conflict
which_conflicts(merged)
}
\seealso{
\code{\link{merge_data}}
}
| /man/which_conflicts.Rd | no_license | gwarnes-mdsol/daff | R | false | true | 879 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/merge-data.R
\name{which_conflicts}
\alias{which_conflicts}
\title{return which rows of a merged \code{data.frame} contain conflicts}
\usage{
which_conflicts(merged)
}
\arguments{
\item{merged}{\code{data.frame} merged data.frame with possible conflicts.}
}
\value{
\code{integer} vector with row positions containing conflicts.
}
\description{
return which rows of a merged \code{data.frame} contain conflicts.
}
\examples{
parent <- a <- b <- iris[1:3,]
a[1,1] <- 10
b[2,1] <- 11
# succesful merge
merge_data(parent, a, b)
parent <- a <- b <- iris[1:3,]
a[1,1] <- 10
b[1,1] <- 11
# conflicting merge (both a and b change same cell)
merged <- merge_data(parent, a, b)
merged #note the conflict
#find out which rows contain a conflict
which_conflicts(merged)
}
\seealso{
\code{\link{merge_data}}
}
|
## function API によるモデルの定義
x = layer_input(784)
z1 = x %>% layer_dense(units = 256, activation="relu")
z2 = z1 %>% layer_dense(units = 128, activation="relu")
y = z2 %>% layer_dense(units = 10, activation="softmax")
model = keras_model(x, y)
## 上記のネットワークは, 次のように書くこともできる.
# model = keras_model_sequential()
# model %>%
# layer_dense(units = 256, activation="relu", input_shape = c(784)) %>%
# layer_dense(units = 128, activation="relu") %>%
# layer_dense(units = 10, activation="softmax")
model # modelの出力 | /chap3/R/code2.r | no_license | daishinmutaku/SRAPR | R | false | false | 576 | r | ## function API によるモデルの定義
x = layer_input(784)
z1 = x %>% layer_dense(units = 256, activation="relu")
z2 = z1 %>% layer_dense(units = 128, activation="relu")
y = z2 %>% layer_dense(units = 10, activation="softmax")
model = keras_model(x, y)
## 上記のネットワークは, 次のように書くこともできる.
# model = keras_model_sequential()
# model %>%
# layer_dense(units = 256, activation="relu", input_shape = c(784)) %>%
# layer_dense(units = 128, activation="relu") %>%
# layer_dense(units = 10, activation="softmax")
model # modelの出力 |
# Function calling
# rnorm will return random normal distribution with given sample size (optional to provide mean and s.d.)
x <- rnorm(100, mean=21, sd=2.1)
# Support functions
help(rnorm)
example(rnorm)
# Launch HTML helper
help.start()
# Vectors
# initializing with given vector components
vec1 = c(1,2,3,4,5)
vec1[5]
# Using sequence
vec2 = seq(from=0, to=1, by=0.25)
vec2
# sum
sum(vec2)
# addition
vec1 + vec2
# Matrices
mat=matrix(data=c(9,2,3,4,5,6),ncol=3)
mat[1,2]
mat[2,]
mean(mat)
# Data frames
t = data.frame(x = c(11,12,14), y = c(19,20,21), z = c(10,9,7))
mean(t$z)
mean(t[["z"]]) ## same
# Lists
L = list(one=1, two=c(1,2), five=seq(0, 1, length=5))
names(L)
L$five + 10
# Graphs
plot(rnorm(100), type="l", col="gold")
hist(rnorm(100))
x1 = rnorm(100)
x2 = rnorm(100)
x3 = rnorm(100)
t = data.frame(a = x1, b = x1+x2, c = x1+x2+x3)
plot(t$a, type="l", ylim=range(t), lwd=3, col=rgb(1,0,0,0.3))
lines(t$b, type="s", lwd=2, col=rgb(0.3,0.4,0.3,0.9))
points(t$c, pch=20, cex=4, col=rgb(0,0,1,0.3))
| /reference.R | no_license | ashans/r-statistical-inference | R | false | false | 1,029 | r | # Function calling
# rnorm will return random normal distribution with given sample size (optional to provide mean and s.d.)
x <- rnorm(100, mean=21, sd=2.1)
# Support functions
help(rnorm)
example(rnorm)
# Launch HTML helper
help.start()
# Vectors
# initializing with given vector components
vec1 = c(1,2,3,4,5)
vec1[5]
# Using sequence
vec2 = seq(from=0, to=1, by=0.25)
vec2
# sum
sum(vec2)
# addition
vec1 + vec2
# Matrices
mat=matrix(data=c(9,2,3,4,5,6),ncol=3)
mat[1,2]
mat[2,]
mean(mat)
# Data frames
t = data.frame(x = c(11,12,14), y = c(19,20,21), z = c(10,9,7))
mean(t$z)
mean(t[["z"]]) ## same
# Lists
L = list(one=1, two=c(1,2), five=seq(0, 1, length=5))
names(L)
L$five + 10
# Graphs
plot(rnorm(100), type="l", col="gold")
hist(rnorm(100))
x1 = rnorm(100)
x2 = rnorm(100)
x3 = rnorm(100)
t = data.frame(a = x1, b = x1+x2, c = x1+x2+x3)
plot(t$a, type="l", ylim=range(t), lwd=3, col=rgb(1,0,0,0.3))
lines(t$b, type="s", lwd=2, col=rgb(0.3,0.4,0.3,0.9))
points(t$c, pch=20, cex=4, col=rgb(0,0,1,0.3))
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/highlight.R
\name{highlight}
\alias{highlight}
\title{syntax highlighting based on the R parser}
\usage{
highlight(file, output = stdout(), detective = simple_detective, renderer,
encoding = "unknown", parse.output = parse(file, encoding = encoding,
keep.source = TRUE), styles = detective(parse.output), expr = NULL,
final.newline = FALSE, showPrompts = FALSE,
prompt = getOption("prompt"), continue = getOption("continue"),
initial.spaces = TRUE, size = c("normalsize", "tiny", "scriptsize",
"footnotesize", "small", "large", "Large", "LARGE", "huge", "Huge"),
show_line_numbers = FALSE, ...)
}
\arguments{
\item{file}{code file to parse. This is only used if the \code{parse.output} is given}
\item{output}{where to write the rendered text. If this is anything else than the
default (standard output), the \code{\link{sink}} function
is used to redirect the standard output to the output.}
\item{detective}{the detective chooses the style to apply to each token, basing its
investigation on the results of the \code{\link[base]{parse}}}
\item{renderer}{highlight delegates rendering the information to the renderer. This
package includes html and latex renderers. See \code{\link{renderer_html}}
and \code{\link{renderer_latex}}}
\item{encoding}{encoding to assume for the file. the argument is directly passed
to the \code{\link[base]{parse}}.}
\item{parse.output}{output from the \code{\link[base]{parse}}. If this is given, the
arguments \code{file} and \code{encoding} are not used}
\item{styles}{result of the detective investigation. A character vector
with as many elements as there are tokens in the parser output}
\item{expr}{In case we want to render only one expression and not the full parse
tree, this argument can be used to specify which expression
to render. The default (NULL) means render all expressions.}
\item{final.newline}{logical. Indicates if a newline character is added after all tokens.}
\item{showPrompts}{if TRUE, the highlighted text will show standard and continue prompt}
\item{prompt}{standard prompt}
\item{continue}{continue prompt}
\item{initial.spaces}{should initial spaces be displayed or skipped.}
\item{size}{font size. only respected by the latex renderer so far.}
\item{show_line_numbers}{logical. When TRUE, line numbers are shown in the output.}
\item{\dots}{additional arguments, currently ignored.}
}
\value{
The resulting formatted text is returned invisibly. It is also
written to the output if the output is not \code{NULL}
}
\description{
The \code{highlight} function performs syntax highlighting based on the
results of the \code{\link[base]{parse}} and the investigation
of a detective.
}
\examples{
\dontrun{
tf <- tempfile()
dump( "jitter", file = tf )
highlight( file = tf, detective = simple_detective,
renderer = renderer_html( document = TRUE ) )
highlight( file = tf, detective = simple_detective,
renderer = renderer_latex( document = TRUE ) )
unlink(tf)
}
}
\seealso{
\code{\link{renderer_html}} and \code{\link{renderer_latex}} are the
two implementation of renderers currently available in this package.
\code{\link{simple_detective}} is an example detective which does a very
simple investigation.
}
| /man/highlight.Rd | no_license | eddelbuettel/highlight | R | false | true | 3,305 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/highlight.R
\name{highlight}
\alias{highlight}
\title{syntax highlighting based on the R parser}
\usage{
highlight(file, output = stdout(), detective = simple_detective, renderer,
encoding = "unknown", parse.output = parse(file, encoding = encoding,
keep.source = TRUE), styles = detective(parse.output), expr = NULL,
final.newline = FALSE, showPrompts = FALSE,
prompt = getOption("prompt"), continue = getOption("continue"),
initial.spaces = TRUE, size = c("normalsize", "tiny", "scriptsize",
"footnotesize", "small", "large", "Large", "LARGE", "huge", "Huge"),
show_line_numbers = FALSE, ...)
}
\arguments{
\item{file}{code file to parse. This is only used if the \code{parse.output} is given}
\item{output}{where to write the rendered text. If this is anything else than the
default (standard output), the \code{\link{sink}} function
is used to redirect the standard output to the output.}
\item{detective}{the detective chooses the style to apply to each token, basing its
investigation on the results of the \code{\link[base]{parse}}}
\item{renderer}{highlight delegates rendering the information to the renderer. This
package includes html and latex renderers. See \code{\link{renderer_html}}
and \code{\link{renderer_latex}}}
\item{encoding}{encoding to assume for the file. the argument is directly passed
to the \code{\link[base]{parse}}.}
\item{parse.output}{output from the \code{\link[base]{parse}}. If this is given, the
arguments \code{file} and \code{encoding} are not used}
\item{styles}{result of the detective investigation. A character vector
with as many elements as there are tokens in the parser output}
\item{expr}{In case we want to render only one expression and not the full parse
tree, this argument can be used to specify which expression
to render. The default (NULL) means render all expressions.}
\item{final.newline}{logical. Indicates if a newline character is added after all tokens.}
\item{showPrompts}{if TRUE, the highlighted text will show standard and continue prompt}
\item{prompt}{standard prompt}
\item{continue}{continue prompt}
\item{initial.spaces}{should initial spaces be displayed or skipped.}
\item{size}{font size. only respected by the latex renderer so far.}
\item{show_line_numbers}{logical. When TRUE, line numbers are shown in the output.}
\item{\dots}{additional arguments, currently ignored.}
}
\value{
The resulting formatted text is returned invisibly. It is also
written to the output if the output is not \code{NULL}
}
\description{
The \code{highlight} function performs syntax highlighting based on the
results of the \code{\link[base]{parse}} and the investigation
of a detective.
}
\examples{
\dontrun{
tf <- tempfile()
dump( "jitter", file = tf )
highlight( file = tf, detective = simple_detective,
renderer = renderer_html( document = TRUE ) )
highlight( file = tf, detective = simple_detective,
renderer = renderer_latex( document = TRUE ) )
unlink(tf)
}
}
\seealso{
\code{\link{renderer_html}} and \code{\link{renderer_latex}} are the
two implementation of renderers currently available in this package.
\code{\link{simple_detective}} is an example detective which does a very
simple investigation.
}
|
# Copyright (C) Tal Galili
#
# This file is part of dendextend.
#
# dendextend is free software: you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 2 of the License, or
# (at your option) any later version.
#
# dendextend is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# A copy of the GNU General Public License is available at
# http://www.r-project.org/Licenses/
#
#' @title Counts the number of leaves in a tree
#' @export
#' @aliases
#' nleaves.default
#' nleaves.dendrogram
#' nleaves.dendlist
#' nleaves.hclust
#' nleaves.phylo
#' @description
#' Counts the number of leaves in a tree (dendrogram or hclust).
#' @usage
#' nleaves(x, ...)
#'
#' \method{nleaves}{dendrogram}(x, method = c("members", "order"), ...)
#'
#' \method{nleaves}{dendlist}(x, ...)
#'
#' \method{nleaves}{hclust}(x, ...)
#'
#' \method{nleaves}{phylo}(x, ...)
#'
#' @param x tree object (dendrogram/hclust/phylo,\link{dendlist})
#' @param method a character scalar (default is "members"). If "order"
#' than nleaves is based on length of \link{order.dendrogram}.
#' If "members", than length is trusting what is written in the
#' dendrogram's root \link{attr}.
#' "members" is about 4 times faster than "order".
#'
#' @param ... not used
#' @details
#' The idea for the name is from functions like ncol, and nrow.
#'
#' Also, it is worth noting that the nleaves.dendrogram is based on
#' order.dendrogram instead of labels.dendrogram since the first is
#' MUCH faster than the later.
#'
#' The phylo method is based on turning the phylo to hclust and than to
#' dendrogram. It may not work for complex phylo trees.
#'
#' @return The number of leaves in the tree
#' @seealso \link{nrow}, \link{count_terminal_nodes}
#' @examples
#' hc <- hclust(dist(USArrests[1:5,]), "ave")
#' dend <- as.dendrogram(hc)
#'
#' nleaves(dend) # 5
#' nleaves(hc) # 5
nleaves <- function(x, ...) {UseMethod("nleaves")}
nleaves.default <- function(x,...) {stop("object x must be a dendrogram/hclust/phylo object")}
# ' @S3method nleaves dendrogram
#' @export
nleaves.dendrogram <- function(x, method = c("members", "order"),...) {
if(method[1] == "members") {
return(as.integer(attr(x, "members")))
} else {
# "order"
return(length(order.dendrogram(x)))
}
}
# ' @S3method set dendlist
#' @export
nleaves.dendlist <- function(x, ...) {
sapply(x, nleaves, ...)
}
# library(microbenchmark)
# big_dend <- USArrests %>% dist %>% hclust %>% as.dendrogram
# microbenchmark(
# nleaves.dendrogram(big_dend, "order"),
# nleaves.dendrogram(big_dend, "members")
# )
#TODO: add count by number of labels/ or by the number of is.leaf==TRUE
# ' @S3method nleaves hclust
#' @export
nleaves.hclust <- function(x,...) {length(x$order)}
# ' @S3method nleaves phylo
#' @export
nleaves.phylo <- function(x,...) {
#nleaves(as.dendrogram(x))
length(labels(x))
}
# TODO: there is probably a better way for getting the tree size for a phylo object.
#' @title Counts the number of nodes (Vertices) in a tree
#' @aliases
#' nnodes.default
#' nnodes.dendrogram
#' nnodes.hclust
#' nnodes.phylo
#' @description Counts the number of nodes in a tree (dendrogram, hclust, phylo).
#'
#'
#' @usage
#' nnodes(x, ...)
#'
#' \method{nnodes}{dendrogram}(x, ...)
#'
#' \method{nnodes}{hclust}(x, ...)
#'
#' \method{nnodes}{phylo}(x, ...)
#'
#' @export
#' @param x tree object (dendrogram or hclust)
#' @param ... not used
#' @details
#' The idea for the name is from functions like ncol, and nrow.
#'
#' The phylo method is based on turning the phylo to hclust and than to
#' dendrogram. It may not work for complex phylo trees.
#'
#' @return The number of leaves in the tree
#' @seealso \link{nrow}, \link{count_terminal_nodes}, \link{nleaves}
#' @examples
#' hc <- hclust(dist(USArrests[1:5,]), "ave")
#' dend <- as.dendrogram(hc)
#'
#' nnodes(dend) # 9
#' nnodes(hc) # 9
nnodes <- function(x, ...) {UseMethod("nnodes")}
#' @export
nnodes.default <- function(x,...) {stop("object x must be a dendrogram/hclust/phylo object")}
# ' @S3method nnodes dendrogram
#' @export
nnodes.dendrogram <- function(x,...) {
if(!inherits(x,'dendrogram')) warning("'object' should be a dendrogram.")
i_node_counter <- 0
go_through_nodes <- function(dend_node) {
i_node_counter <<- i_node_counter + 1
}
dendrapply(x, go_through_nodes)
return(i_node_counter)
}
# nnodes(dend)
# ' @S3method nnodes hclust
#' @export
nnodes.hclust <- function(x,...) {nnodes(as.dendrogram(x))}
# ' @S3method nnodes phylo
#' @export
nnodes.phylo <- function(x,...) {nnodes(as.dendrogram(x))}
#' @title Counts the number of terminal nodes (merging 0 nodes!)
#' @export
#' @description This function counts the number of "practical" terminal nodes (nodes which are not leaves, but has 0 height to them are considered "terminal" nodes).
#' If the tree is standard, that would simply be the number of leaves (only the leaves will have height 0).
#' However, in cases where the tree has several nodes (before the leaves) with 0 height,
#' the count_terminal_nodes counts such nodes as terminal nodes
#'
#' The function is recursive in that it either returns 1 if it reached a terminal node (either a leaf or a 0 height node),
#' else: it will count the number of terminal nodes in each of its sub-nodes, sum them up, and return them.
#'
#' @param dend_node a dendrogram object for which to count its number of terminal nodes (leaves or 0 height nodes).
#' @param ... not used
#' @return The number of terminal nodes (excluding the leaves of nodes of height 0)
#' @examples
#' # define dendrogram object to play with:
#' hc <- hclust(dist(USArrests[1:3,]), "ave")
#' dend <- as.dendrogram(hc)
#'
#' ###
#' # Trivial case
#' count_terminal_nodes(dend) # 3 terminal nodes
#' length(labels(dend)) # 3 - the same number
#' plot(dend,
#' main = "This is considered a tree \n with THREE terminal nodes (leaves)")
#'
#' ###
#' # NON-Trivial case
#' str(dend)
#' attr(dend[[2]], "height") <- 0
#' count_terminal_nodes(dend) # 2 terminal nodes, why? see this plot:
#' plot(dend,
#' main = "This is considered a tree \n with TWO terminal nodes only")
#' # while we have 3 leaves, in practice we have only 2 terminal nodes
#' # (this is a feature, not a bug.)
count_terminal_nodes <- function(dend_node,...) {
# a recursive function for counting the number of first encountered zero nodes
# if you are a leaf, or a node with height 0, return 1
if(is.leaf(dend_node) | attr(dend_node, "height") == 0) return(1L)
# else : # go through all of the childrens and apply count.first.zero.nodes
terminal_nodes_counter <- 0
for(i in seq_len(length(dend_node))){
terminal_nodes_counter <- terminal_nodes_counter + # let each sub-node add its counts
count_terminal_nodes(dend_node[[i]],...)
}
return(terminal_nodes_counter)
}
#' @title unclass an entire dendrogram tree
#' @export
#' @param dend a dendrogram object
#' @param ... not used
#' @return The list which was the dendrogram (but without a class)
#' @seealso \link{nleaves}
#' @examples
#' # define dendrogram object to play with:
#' hc <- hclust(dist(USArrests[1:3,]), "ave")
#' dend <- as.dendrogram(hc)
#'
#' itself <- function(x) x
#' dend <- dendrapply(dend, itself)
#' unclass(dend) # this only returns a list with
#' # two dendrogram objects inside it.
#' str(dend) # this is a great way to show a dendrogram,
#' # but it doesn't help us understand how the R object is built.
#' str(unclass(dend)) # this is a great way to show a dendrogram,
#' # but it doesn't help us understand how the R object is built.
#' unclass_dend(dend) # this only returns a list
#' # with two dendrogram objects inside it.
#' str(unclass_dend(dend)) # NOW we can more easily understand
#' # how the dendrogram object is structured...
unclass_dend <- function(dend,...)
{
# I could have also made this into a method
# unclass_dendrogram
# But decided not to, so to allow unclass to work as usual in case someone wants to use it only on one branch.
# if(!is.leaf(dend))
# {
# for(i in seq_len(length(dend)))
# {
# dend[[i]] <- unclass_dend(dend[[i]])
# }
# }
# dend <- unclass(dend)
dend <- dendrapply(dend, unclass)
return(dend)
}
# example(count_terminal_nodes)
# example(labels_colors)
# ' @S3method head dendrogram
#' @export
head.dendrogram <- function(x, n = 3L, ...) {
# library(utils)
utils::str(x, max.leve = n,...)
cat( "etc...","\n")
}
# hc <- hclust(dist(USArrests), "ave")
# dend <- as.dendrogram(hc)
# str(dend)
# head(dend)
# Some thoughts on imports: http://obeautifulcode.com/R/How-R-Searches-And-Finds-Stuff/
# and: http://stackoverflow.com/questions/8637993/better-explanation-of-when-to-use-imports-depends
# methods(nleaves)
# This is what should have been done for dendrograms
#order.default <- order
#order <- function(...) UseMethod("order")
| /R/nleaves.R | no_license | timelyportfolio/dendextend | R | false | false | 9,328 | r | # Copyright (C) Tal Galili
#
# This file is part of dendextend.
#
# dendextend is free software: you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 2 of the License, or
# (at your option) any later version.
#
# dendextend is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# A copy of the GNU General Public License is available at
# http://www.r-project.org/Licenses/
#
#' @title Counts the number of leaves in a tree
#' @export
#' @aliases
#' nleaves.default
#' nleaves.dendrogram
#' nleaves.dendlist
#' nleaves.hclust
#' nleaves.phylo
#' @description
#' Counts the number of leaves in a tree (dendrogram or hclust).
#' @usage
#' nleaves(x, ...)
#'
#' \method{nleaves}{dendrogram}(x, method = c("members", "order"), ...)
#'
#' \method{nleaves}{dendlist}(x, ...)
#'
#' \method{nleaves}{hclust}(x, ...)
#'
#' \method{nleaves}{phylo}(x, ...)
#'
#' @param x tree object (dendrogram/hclust/phylo,\link{dendlist})
#' @param method a character scalar (default is "members"). If "order"
#' than nleaves is based on length of \link{order.dendrogram}.
#' If "members", than length is trusting what is written in the
#' dendrogram's root \link{attr}.
#' "members" is about 4 times faster than "order".
#'
#' @param ... not used
#' @details
#' The idea for the name is from functions like ncol, and nrow.
#'
#' Also, it is worth noting that the nleaves.dendrogram is based on
#' order.dendrogram instead of labels.dendrogram since the first is
#' MUCH faster than the later.
#'
#' The phylo method is based on turning the phylo to hclust and than to
#' dendrogram. It may not work for complex phylo trees.
#'
#' @return The number of leaves in the tree
#' @seealso \link{nrow}, \link{count_terminal_nodes}
#' @examples
#' hc <- hclust(dist(USArrests[1:5,]), "ave")
#' dend <- as.dendrogram(hc)
#'
#' nleaves(dend) # 5
#' nleaves(hc) # 5
nleaves <- function(x, ...) {UseMethod("nleaves")}
nleaves.default <- function(x,...) {stop("object x must be a dendrogram/hclust/phylo object")}
# ' @S3method nleaves dendrogram
#' @export
nleaves.dendrogram <- function(x, method = c("members", "order"),...) {
if(method[1] == "members") {
return(as.integer(attr(x, "members")))
} else {
# "order"
return(length(order.dendrogram(x)))
}
}
# ' @S3method set dendlist
#' @export
nleaves.dendlist <- function(x, ...) {
sapply(x, nleaves, ...)
}
# library(microbenchmark)
# big_dend <- USArrests %>% dist %>% hclust %>% as.dendrogram
# microbenchmark(
# nleaves.dendrogram(big_dend, "order"),
# nleaves.dendrogram(big_dend, "members")
# )
#TODO: add count by number of labels/ or by the number of is.leaf==TRUE
# ' @S3method nleaves hclust
#' @export
nleaves.hclust <- function(x,...) {length(x$order)}
# ' @S3method nleaves phylo
#' @export
nleaves.phylo <- function(x,...) {
#nleaves(as.dendrogram(x))
length(labels(x))
}
# TODO: there is probably a better way for getting the tree size for a phylo object.
#' @title Counts the number of nodes (Vertices) in a tree
#' @aliases
#' nnodes.default
#' nnodes.dendrogram
#' nnodes.hclust
#' nnodes.phylo
#' @description Counts the number of nodes in a tree (dendrogram, hclust, phylo).
#'
#'
#' @usage
#' nnodes(x, ...)
#'
#' \method{nnodes}{dendrogram}(x, ...)
#'
#' \method{nnodes}{hclust}(x, ...)
#'
#' \method{nnodes}{phylo}(x, ...)
#'
#' @export
#' @param x tree object (dendrogram or hclust)
#' @param ... not used
#' @details
#' The idea for the name is from functions like ncol, and nrow.
#'
#' The phylo method is based on turning the phylo to hclust and than to
#' dendrogram. It may not work for complex phylo trees.
#'
#' @return The number of leaves in the tree
#' @seealso \link{nrow}, \link{count_terminal_nodes}, \link{nleaves}
#' @examples
#' hc <- hclust(dist(USArrests[1:5,]), "ave")
#' dend <- as.dendrogram(hc)
#'
#' nnodes(dend) # 9
#' nnodes(hc) # 9
nnodes <- function(x, ...) {UseMethod("nnodes")}
#' @export
nnodes.default <- function(x,...) {stop("object x must be a dendrogram/hclust/phylo object")}
# ' @S3method nnodes dendrogram
#' @export
nnodes.dendrogram <- function(x,...) {
if(!inherits(x,'dendrogram')) warning("'object' should be a dendrogram.")
i_node_counter <- 0
go_through_nodes <- function(dend_node) {
i_node_counter <<- i_node_counter + 1
}
dendrapply(x, go_through_nodes)
return(i_node_counter)
}
# nnodes(dend)
# ' @S3method nnodes hclust
#' @export
nnodes.hclust <- function(x,...) {nnodes(as.dendrogram(x))}
# ' @S3method nnodes phylo
#' @export
nnodes.phylo <- function(x,...) {nnodes(as.dendrogram(x))}
#' @title Counts the number of terminal nodes (merging 0 nodes!)
#' @export
#' @description This function counts the number of "practical" terminal nodes (nodes which are not leaves, but has 0 height to them are considered "terminal" nodes).
#' If the tree is standard, that would simply be the number of leaves (only the leaves will have height 0).
#' However, in cases where the tree has several nodes (before the leaves) with 0 height,
#' the count_terminal_nodes counts such nodes as terminal nodes
#'
#' The function is recursive in that it either returns 1 if it reached a terminal node (either a leaf or a 0 height node),
#' else: it will count the number of terminal nodes in each of its sub-nodes, sum them up, and return them.
#'
#' @param dend_node a dendrogram object for which to count its number of terminal nodes (leaves or 0 height nodes).
#' @param ... not used
#' @return The number of terminal nodes (excluding the leaves of nodes of height 0)
#' @examples
#' # define dendrogram object to play with:
#' hc <- hclust(dist(USArrests[1:3,]), "ave")
#' dend <- as.dendrogram(hc)
#'
#' ###
#' # Trivial case
#' count_terminal_nodes(dend) # 3 terminal nodes
#' length(labels(dend)) # 3 - the same number
#' plot(dend,
#' main = "This is considered a tree \n with THREE terminal nodes (leaves)")
#'
#' ###
#' # NON-Trivial case
#' str(dend)
#' attr(dend[[2]], "height") <- 0
#' count_terminal_nodes(dend) # 2 terminal nodes, why? see this plot:
#' plot(dend,
#' main = "This is considered a tree \n with TWO terminal nodes only")
#' # while we have 3 leaves, in practice we have only 2 terminal nodes
#' # (this is a feature, not a bug.)
count_terminal_nodes <- function(dend_node,...) {
# a recursive function for counting the number of first encountered zero nodes
# if you are a leaf, or a node with height 0, return 1
if(is.leaf(dend_node) | attr(dend_node, "height") == 0) return(1L)
# else : # go through all of the childrens and apply count.first.zero.nodes
terminal_nodes_counter <- 0
for(i in seq_len(length(dend_node))){
terminal_nodes_counter <- terminal_nodes_counter + # let each sub-node add its counts
count_terminal_nodes(dend_node[[i]],...)
}
return(terminal_nodes_counter)
}
#' @title unclass an entire dendrogram tree
#' @export
#' @param dend a dendrogram object
#' @param ... not used
#' @return The list which was the dendrogram (but without a class)
#' @seealso \link{nleaves}
#' @examples
#' # define dendrogram object to play with:
#' hc <- hclust(dist(USArrests[1:3,]), "ave")
#' dend <- as.dendrogram(hc)
#'
#' itself <- function(x) x
#' dend <- dendrapply(dend, itself)
#' unclass(dend) # this only returns a list with
#' # two dendrogram objects inside it.
#' str(dend) # this is a great way to show a dendrogram,
#' # but it doesn't help us understand how the R object is built.
#' str(unclass(dend)) # this is a great way to show a dendrogram,
#' # but it doesn't help us understand how the R object is built.
#' unclass_dend(dend) # this only returns a list
#' # with two dendrogram objects inside it.
#' str(unclass_dend(dend)) # NOW we can more easily understand
#' # how the dendrogram object is structured...
unclass_dend <- function(dend,...)
{
# I could have also made this into a method
# unclass_dendrogram
# But decided not to, so to allow unclass to work as usual in case someone wants to use it only on one branch.
# if(!is.leaf(dend))
# {
# for(i in seq_len(length(dend)))
# {
# dend[[i]] <- unclass_dend(dend[[i]])
# }
# }
# dend <- unclass(dend)
dend <- dendrapply(dend, unclass)
return(dend)
}
# example(count_terminal_nodes)
# example(labels_colors)
# ' @S3method head dendrogram
#' @export
head.dendrogram <- function(x, n = 3L, ...) {
# library(utils)
utils::str(x, max.leve = n,...)
cat( "etc...","\n")
}
# hc <- hclust(dist(USArrests), "ave")
# dend <- as.dendrogram(hc)
# str(dend)
# head(dend)
# Some thoughts on imports: http://obeautifulcode.com/R/How-R-Searches-And-Finds-Stuff/
# and: http://stackoverflow.com/questions/8637993/better-explanation-of-when-to-use-imports-depends
# methods(nleaves)
# This is what should have been done for dendrograms
#order.default <- order
#order <- function(...) UseMethod("order")
|
% Generated by roxygen2 (4.0.2): do not edit by hand
\name{logger.status}
\alias{logger.error}
\alias{logger.info}
\alias{logger.status}
\alias{logger.warning}
\title{Writing text messages to the log file.}
\usage{
logger.status(txt)
logger.info(txt)
logger.warning(txt)
logger.error(txt, terminate = rnb.getOption("logging.exit.on.error"))
}
\arguments{
\item{txt}{Text to add to the log file. This must be a \code{character} vector; its elements are concatenated
using a single space (\code{" "}) as a separator.}
\item{terminate}{Flag indicating if the execution is to be terminated after this error message is added to the log.}
}
\description{
Appends a single-line status message to the log text file. The message is prepended by its type, which is one of
\code{STATUS}, \code{INFO}, \code{WARNING} or \code{ERROR}.
}
\examples{
\dontrun{
if (!logger.isinitialized())
logger.start(fname = NA)
logger.status(c("Reached step", 2))
logger.info(c("Provided email:", rnb.getOption("email")))
}
}
\author{
Yassen Assenov
}
\seealso{
\code{\link{logger.isinitialized}}to check if logging is activated;
\code{\link{logger.start}} for initializing a logger or starting a section
}
| /RnBeads/r-packages/RnBeads/man/loggerMessages.Rd | permissive | relshire/epiGBS | R | false | false | 1,187 | rd | % Generated by roxygen2 (4.0.2): do not edit by hand
\name{logger.status}
\alias{logger.error}
\alias{logger.info}
\alias{logger.status}
\alias{logger.warning}
\title{Writing text messages to the log file.}
\usage{
logger.status(txt)
logger.info(txt)
logger.warning(txt)
logger.error(txt, terminate = rnb.getOption("logging.exit.on.error"))
}
\arguments{
\item{txt}{Text to add to the log file. This must be a \code{character} vector; its elements are concatenated
using a single space (\code{" "}) as a separator.}
\item{terminate}{Flag indicating if the execution is to be terminated after this error message is added to the log.}
}
\description{
Appends a single-line status message to the log text file. The message is prepended by its type, which is one of
\code{STATUS}, \code{INFO}, \code{WARNING} or \code{ERROR}.
}
\examples{
\dontrun{
if (!logger.isinitialized())
logger.start(fname = NA)
logger.status(c("Reached step", 2))
logger.info(c("Provided email:", rnb.getOption("email")))
}
}
\author{
Yassen Assenov
}
\seealso{
\code{\link{logger.isinitialized}}to check if logging is activated;
\code{\link{logger.start}} for initializing a logger or starting a section
}
|
library(glmnet)
mydata = read.table("./TrainingSet/Correlation/bone.csv",head=T,sep=",")
x = as.matrix(mydata[,4:ncol(mydata)])
y = as.matrix(mydata[,1])
set.seed(123)
glm = cv.glmnet(x,y,nfolds=10,type.measure="mae",alpha=0.04,family="gaussian",standardize=FALSE)
sink('./Model/EN/Correlation/bone/bone_020.txt',append=TRUE)
print(glm$glmnet.fit)
sink()
| /Model/EN/Correlation/bone/bone_020.R | no_license | leon1003/QSMART | R | false | false | 355 | r | library(glmnet)
mydata = read.table("./TrainingSet/Correlation/bone.csv",head=T,sep=",")
x = as.matrix(mydata[,4:ncol(mydata)])
y = as.matrix(mydata[,1])
set.seed(123)
glm = cv.glmnet(x,y,nfolds=10,type.measure="mae",alpha=0.04,family="gaussian",standardize=FALSE)
sink('./Model/EN/Correlation/bone/bone_020.txt',append=TRUE)
print(glm$glmnet.fit)
sink()
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/linear_SSLDP.R
\name{do.ssldp}
\alias{do.ssldp}
\title{Semi-Supervised Locally Discriminant Projection}
\usage{
do.ssldp(X, label, ndim = 2, type = c("proportion", 0.1),
preprocess = c("center", "scale", "cscale", "whiten", "decorrelate"),
beta = 0.5)
}
\arguments{
\item{X}{an \eqn{(n\times p)} matrix or data frame whose rows are observations
and columns represent independent variables.}
\item{label}{a length-\eqn{n} vector of data class labels.}
\item{ndim}{an integer-valued target dimension.}
\item{type}{a vector of neighborhood graph construction. Following types are supported;
\code{c("knn",k)}, \code{c("enn",radius)}, and \code{c("proportion",ratio)}.
Default is \code{c("proportion",0.1)}, connecting about 1/10 of nearest data points
among all data points. See also \code{\link{aux.graphnbd}} for more details.}
\item{preprocess}{an additional option for preprocessing the data.
Default is "center". See also \code{\link{aux.preprocess}} for more details.}
\item{beta}{balancing parameter for intra- and inter-class information in \eqn{[0,1]}.}
}
\value{
a named list containing
\describe{
\item{Y}{an \eqn{(n\times ndim)} matrix whose rows are embedded observations.}
\item{trfinfo}{a list containing information for out-of-sample prediction.}
\item{projection}{a \eqn{(p\times ndim)} whose columns are basis for projection.}
}
}
\description{
Semi-Supervised Locally Discriminant Projection (SSLDP) is a semi-supervised
extension of LDP. It utilizes unlabeled data to overcome the small-sample-size problem
under the situation where labeled data have the small number. Using two information,
it both constructs the within- and between-class weight matrices incorporating the
neighborhood information of the data set.
}
\examples{
## generate data of 3 types with clear difference
dt1 = aux.gensamples(n=33)-100
dt2 = aux.gensamples(n=33)
dt3 = aux.gensamples(n=33)+100
## merge the data and create a label correspondingly
Z = rbind(dt1,dt2,dt3)
label = c(rep(1,33), rep(2,33), rep(3,33))
## copy a label and let 10\% of elements be missing
nlabel = length(label)
nmissing = round(nlabel*0.10)
label_missing = label
label_missing[sample(1:nlabel, nmissing)]=NA
## compute with 3 different neighborhood size
out1 = do.ssldp(Z, label_missing, type=c("proportion",0.05))
out2 = do.ssldp(Z, label_missing, type=c("proportion",0.10))
out3 = do.ssldp(Z, label_missing, type=c("proportion",0.25))
## visualize
par(mfrow=c(1,3))
plot(out1$Y[,1], out1$Y[,2], main="5\% connectivity")
plot(out2$Y[,1], out2$Y[,2], main="10\% connectivity")
plot(out3$Y[,1], out3$Y[,2], main="25\% connectivity")
}
\references{
\insertRef{zhang_semi-supervised_2011}{Rdimtools}
}
\author{
Kisung You
}
| /man/linear_SSLDP.Rd | no_license | rcannood/Rdimtools | R | false | true | 2,791 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/linear_SSLDP.R
\name{do.ssldp}
\alias{do.ssldp}
\title{Semi-Supervised Locally Discriminant Projection}
\usage{
do.ssldp(X, label, ndim = 2, type = c("proportion", 0.1),
preprocess = c("center", "scale", "cscale", "whiten", "decorrelate"),
beta = 0.5)
}
\arguments{
\item{X}{an \eqn{(n\times p)} matrix or data frame whose rows are observations
and columns represent independent variables.}
\item{label}{a length-\eqn{n} vector of data class labels.}
\item{ndim}{an integer-valued target dimension.}
\item{type}{a vector of neighborhood graph construction. Following types are supported;
\code{c("knn",k)}, \code{c("enn",radius)}, and \code{c("proportion",ratio)}.
Default is \code{c("proportion",0.1)}, connecting about 1/10 of nearest data points
among all data points. See also \code{\link{aux.graphnbd}} for more details.}
\item{preprocess}{an additional option for preprocessing the data.
Default is "center". See also \code{\link{aux.preprocess}} for more details.}
\item{beta}{balancing parameter for intra- and inter-class information in \eqn{[0,1]}.}
}
\value{
a named list containing
\describe{
\item{Y}{an \eqn{(n\times ndim)} matrix whose rows are embedded observations.}
\item{trfinfo}{a list containing information for out-of-sample prediction.}
\item{projection}{a \eqn{(p\times ndim)} whose columns are basis for projection.}
}
}
\description{
Semi-Supervised Locally Discriminant Projection (SSLDP) is a semi-supervised
extension of LDP. It utilizes unlabeled data to overcome the small-sample-size problem
under the situation where labeled data have the small number. Using two information,
it both constructs the within- and between-class weight matrices incorporating the
neighborhood information of the data set.
}
\examples{
## generate data of 3 types with clear difference
dt1 = aux.gensamples(n=33)-100
dt2 = aux.gensamples(n=33)
dt3 = aux.gensamples(n=33)+100
## merge the data and create a label correspondingly
Z = rbind(dt1,dt2,dt3)
label = c(rep(1,33), rep(2,33), rep(3,33))
## copy a label and let 10\% of elements be missing
nlabel = length(label)
nmissing = round(nlabel*0.10)
label_missing = label
label_missing[sample(1:nlabel, nmissing)]=NA
## compute with 3 different neighborhood size
out1 = do.ssldp(Z, label_missing, type=c("proportion",0.05))
out2 = do.ssldp(Z, label_missing, type=c("proportion",0.10))
out3 = do.ssldp(Z, label_missing, type=c("proportion",0.25))
## visualize
par(mfrow=c(1,3))
plot(out1$Y[,1], out1$Y[,2], main="5\% connectivity")
plot(out2$Y[,1], out2$Y[,2], main="10\% connectivity")
plot(out3$Y[,1], out3$Y[,2], main="25\% connectivity")
}
\references{
\insertRef{zhang_semi-supervised_2011}{Rdimtools}
}
\author{
Kisung You
}
|
testlist <- list(id = NULL, id = NULL, booklet_id = c(8168473L, 2127314835L, 171177770L, -1942759639L, -1815221204L, 609641752L, -804651186L, 2094281728L, 860713787L, -971707632L, -1475044502L, 870040598L, -1182814578L, -1415711445L, 1901326755L, -1882837573L, 1340545259L, 1156041943L, 823641812L, -1106109928L, -1048157941L), person_id = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L))
result <- do.call(dexterMST:::is_person_booklet_sorted,testlist)
str(result) | /dexterMST/inst/testfiles/is_person_booklet_sorted/AFL_is_person_booklet_sorted/is_person_booklet_sorted_valgrind_files/1615938416-test.R | no_license | akhikolla/updatedatatype-list1 | R | false | false | 826 | r | testlist <- list(id = NULL, id = NULL, booklet_id = c(8168473L, 2127314835L, 171177770L, -1942759639L, -1815221204L, 609641752L, -804651186L, 2094281728L, 860713787L, -971707632L, -1475044502L, 870040598L, -1182814578L, -1415711445L, 1901326755L, -1882837573L, 1340545259L, 1156041943L, 823641812L, -1106109928L, -1048157941L), person_id = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L))
result <- do.call(dexterMST:::is_person_booklet_sorted,testlist)
str(result) |
###########################
# Mut matrix
###########################
# Mutations
CCLE_mutations<- readr::read_csv("downloads/CCLE/CCLE_mutations.csv")
# Only missense
CCLE_maf<- CCLE_mutations[CCLE_mutations$Variant_Classification=="Missense_Mutation",]
# Factorize samples
CCLE_maf$DepMap_ID<- factor(CCLE_maf$DepMap_ID) # 1749 samples
# Add mut_id
aa_change<- gsub("p\\.","",CCLE_maf$Protein_Change)
CCLE_maf$mut_id<- paste0(CCLE_maf$Hugo_Symbol,"_",aa_change)
# Get driver muts from other study
driver_muts<- colnames(readRDS("data/mut_matrix.rds"))
# Select these mutation data: 1500 muts
CCLE_maf_driver<- subset(CCLE_maf,CCLE_maf$mut_id%in%driver_muts)
CCLE_maf_driver$mut_id<- factor(CCLE_maf_driver$mut_id,levels = driver_muts)
# Create matrix
mut_matrix<- table(CCLE_maf_driver$DepMap_ID,CCLE_maf_driver$mut_id)
# dim(mut_matrix) # 1749 x 688
# Sort driver muts by frequency
mut_matrix<- mut_matrix[,order(colSums(mut_matrix),decreasing = T)]
colSums(mut_matrix)[1:10]
# BRAF_V600E KRAS_G12D TP53_R273H KRAS_G12V TP53_R175H TP53_R273C NRAS_Q61K PIK3CA_H1047R
# 112 71 48 46 44 39 38 33
# TP53_R248W KRAS_G12C
# 31 28
###########################
# HLA matrix
###########################
# Sample info
sample_info<- as.data.frame(readr::read_csv("downloads/CCLE/sample_info.csv"))
sample_info<- sample_info[!duplicated(sample_info$stripped_cell_line_name)&!is.na(sample_info$stripped_cell_line_name),]
rownames(sample_info)<- sample_info$stripped_cell_line_name
# HLA data From TRON project
HLA<- as.data.frame(readr::read_csv("downloads/CCLE/TRON_seq2hla.csv"))
rownames(HLA)<- toupper(gsub("\\.|\\,|\\-|\\_","",HLA$CELLLINE))
rownames(HLA)[rownames(HLA)=="D341MED"]<- "D341"
# Get HLA alleles
HLA_t<- data.frame(
HLA_A1=paste0("HLA-",gsub("\\*|\\'","",HLA$`HLA-A-A1`)),
HLA_A2=paste0("HLA-",gsub("\\*|\\'","",HLA$`HLA-A-A2`)),
HLA_B1=paste0("HLA-",gsub("\\*|\\'","",HLA$`HLA-B-A1`)),
HLA_B2=paste0("HLA-",gsub("\\*|\\'","",HLA$`HLA-B-A2`)),
HLA_C1=paste0("HLA-",gsub("\\*|\\'","",HLA$`HLA-C-A1`)),
HLA_C2=paste0("HLA-",gsub("\\*|\\'","",HLA$`HLA-C-A2`)),stringsAsFactors = F, row.names = sample_info[rownames(HLA),"DepMap_ID"]
)
# Generate HLA matrix
########################
# Harmonic mean function
source("scripts/functions/harmonic_mean.R")
# Create empty HLA matrix
driver_muts<- colnames(mut_matrix)
HLA_matrix<- mut_matrix
HLA_matrix[,]<- NA
# HLA alleles not called bedore
HLA_alleles_called<- c(
setdiff(unlist(strsplit(readLines(paste0("temp/netMHCPan40/output/BRAF_V600E",1,'.xls'),n=1),"\t")),""),
setdiff(unlist(strsplit(readLines(paste0("temp/netMHCPan40/output/BRAF_V600E",2,'.xls'),n=1),"\t")),""),
setdiff(unlist(strsplit(readLines(paste0("temp/netMHCPan40/output/BRAF_V600E",3,'.xls'),n=1),"\t")),"")
)
HLA_all<- unique(c(
as.character(HLA_t$HLA_A1),
as.character(HLA_t$HLA_A2),
as.character(HLA_t$HLA_B1),
as.character(HLA_t$HLA_B2),
as.character(HLA_t$HLA_C1),
as.character(HLA_t$HLA_C2)
))
HLA_alleles_uncalled<- setdiff(HLA_all,HLA_alleles_called) # 75
HLA_alleles_uncalled<- setdiff(HLA_alleles_uncalled,"HLA-no")
cat(HLA_alleles_uncalled,sep=",",file="temp/netMHCPan40/CCLE_other_HLA_alleles.txt")
# Get PHBR scores
for(mut_tmp in driver_muts){
cat(which(driver_muts==mut_tmp)," ")
# Run NetMHCPan: for HLA alleles not called before
if(!file.exists(paste0("temp/netMHCPan40/input/",mut_tmp,".fasta"))) next
if(!file.exists(paste0("temp/netMHCPan40/output/",mut_tmp,"5.xls"))) system(paste0("/home/labgroups/ccgg/tools/netMHCpan-4.0/netMHCpan -a `head temp/netMHCPan40/Other_HLA_alleles.txt` -f temp/netMHCPan40/input/",mut_tmp,".fasta -inptype 0 -l 8,9,10,11 -BA -xls -xlsfile temp/netMHCPan40/output/",mut_tmp,"5.xls > /dev/null"))
# Import results
for(i in c(1:5)){
gene_mhc1_filename<- paste0("temp/netMHCPan40/output/",mut_tmp,i,'.xls')
gene_mhc1<- read.table(gene_mhc1_filename,header = T, stringsAsFactors = F,sep ="\t",quote = "",skip=1)
# Only select peptides with actual mutation present
idx_core<- which(gene_mhc1$Pos%in%0:10) # Cannever start at position 11 (12) or higher
idx_core<- intersect(idx_core,which(nchar(gene_mhc1$Peptide)+gene_mhc1$Pos>10)) # Remove pos 0 (1) for 8/9/10-mers, ...
gene_mhc1<- gene_mhc1[idx_core,]
# Get ranks
gene_mhc1_rank<- gene_mhc1[,grep("Rank",colnames(gene_mhc1))]
colnames(gene_mhc1_rank)<- setdiff(unlist(strsplit(readLines(gene_mhc1_filename,n=1),"\t")),"")
# Calculate PBR
if(i==1) PBR_tmp<- apply(gene_mhc1_rank,MARGIN = 2, "min")
else PBR_tmp<- c(PBR_tmp,apply(gene_mhc1_rank,MARGIN = 2, "min"))
}
# PHBR for each sample
PBR_all_alleles<- cbind(
PBR_tmp[HLA_t$HLA_A1],
PBR_tmp[HLA_t$HLA_A2],
PBR_tmp[HLA_t$HLA_B1],
PBR_tmp[HLA_t$HLA_B2],
PBR_tmp[HLA_t$HLA_C1],
PBR_tmp[HLA_t$HLA_C2]
)
rownames(PBR_all_alleles)<- rownames(HLA_t)
PHBR_tmp<- apply(PBR_all_alleles,1,"harmonic_mean")
# Put to HLA matrix
common_samples<- intersect(rownames(HLA_matrix),names(PHBR_tmp)) # 8760
HLA_matrix[common_samples,mut_tmp]<- PHBR_tmp[common_samples]
}
save(mut_matrix, HLA_matrix, CCLE_maf_driver, file="data/CCLE_data.RData")
| /scripts/create_CCLE_data.R | no_license | CCGGlab/mhc_driver | R | false | false | 5,286 | r | ###########################
# Mut matrix
###########################
# Mutations
CCLE_mutations<- readr::read_csv("downloads/CCLE/CCLE_mutations.csv")
# Only missense
CCLE_maf<- CCLE_mutations[CCLE_mutations$Variant_Classification=="Missense_Mutation",]
# Factorize samples
CCLE_maf$DepMap_ID<- factor(CCLE_maf$DepMap_ID) # 1749 samples
# Add mut_id
aa_change<- gsub("p\\.","",CCLE_maf$Protein_Change)
CCLE_maf$mut_id<- paste0(CCLE_maf$Hugo_Symbol,"_",aa_change)
# Get driver muts from other study
driver_muts<- colnames(readRDS("data/mut_matrix.rds"))
# Select these mutation data: 1500 muts
CCLE_maf_driver<- subset(CCLE_maf,CCLE_maf$mut_id%in%driver_muts)
CCLE_maf_driver$mut_id<- factor(CCLE_maf_driver$mut_id,levels = driver_muts)
# Create matrix
mut_matrix<- table(CCLE_maf_driver$DepMap_ID,CCLE_maf_driver$mut_id)
# dim(mut_matrix) # 1749 x 688
# Sort driver muts by frequency
mut_matrix<- mut_matrix[,order(colSums(mut_matrix),decreasing = T)]
colSums(mut_matrix)[1:10]
# BRAF_V600E KRAS_G12D TP53_R273H KRAS_G12V TP53_R175H TP53_R273C NRAS_Q61K PIK3CA_H1047R
# 112 71 48 46 44 39 38 33
# TP53_R248W KRAS_G12C
# 31 28
###########################
# HLA matrix
###########################
# Sample info
sample_info<- as.data.frame(readr::read_csv("downloads/CCLE/sample_info.csv"))
sample_info<- sample_info[!duplicated(sample_info$stripped_cell_line_name)&!is.na(sample_info$stripped_cell_line_name),]
rownames(sample_info)<- sample_info$stripped_cell_line_name
# HLA data From TRON project
HLA<- as.data.frame(readr::read_csv("downloads/CCLE/TRON_seq2hla.csv"))
rownames(HLA)<- toupper(gsub("\\.|\\,|\\-|\\_","",HLA$CELLLINE))
rownames(HLA)[rownames(HLA)=="D341MED"]<- "D341"
# Get HLA alleles
HLA_t<- data.frame(
HLA_A1=paste0("HLA-",gsub("\\*|\\'","",HLA$`HLA-A-A1`)),
HLA_A2=paste0("HLA-",gsub("\\*|\\'","",HLA$`HLA-A-A2`)),
HLA_B1=paste0("HLA-",gsub("\\*|\\'","",HLA$`HLA-B-A1`)),
HLA_B2=paste0("HLA-",gsub("\\*|\\'","",HLA$`HLA-B-A2`)),
HLA_C1=paste0("HLA-",gsub("\\*|\\'","",HLA$`HLA-C-A1`)),
HLA_C2=paste0("HLA-",gsub("\\*|\\'","",HLA$`HLA-C-A2`)),stringsAsFactors = F, row.names = sample_info[rownames(HLA),"DepMap_ID"]
)
# Generate HLA matrix
########################
# Harmonic mean function
source("scripts/functions/harmonic_mean.R")
# Create empty HLA matrix
driver_muts<- colnames(mut_matrix)
HLA_matrix<- mut_matrix
HLA_matrix[,]<- NA
# HLA alleles not called bedore
HLA_alleles_called<- c(
setdiff(unlist(strsplit(readLines(paste0("temp/netMHCPan40/output/BRAF_V600E",1,'.xls'),n=1),"\t")),""),
setdiff(unlist(strsplit(readLines(paste0("temp/netMHCPan40/output/BRAF_V600E",2,'.xls'),n=1),"\t")),""),
setdiff(unlist(strsplit(readLines(paste0("temp/netMHCPan40/output/BRAF_V600E",3,'.xls'),n=1),"\t")),"")
)
HLA_all<- unique(c(
as.character(HLA_t$HLA_A1),
as.character(HLA_t$HLA_A2),
as.character(HLA_t$HLA_B1),
as.character(HLA_t$HLA_B2),
as.character(HLA_t$HLA_C1),
as.character(HLA_t$HLA_C2)
))
HLA_alleles_uncalled<- setdiff(HLA_all,HLA_alleles_called) # 75
HLA_alleles_uncalled<- setdiff(HLA_alleles_uncalled,"HLA-no")
cat(HLA_alleles_uncalled,sep=",",file="temp/netMHCPan40/CCLE_other_HLA_alleles.txt")
# Get PHBR scores
for(mut_tmp in driver_muts){
cat(which(driver_muts==mut_tmp)," ")
# Run NetMHCPan: for HLA alleles not called before
if(!file.exists(paste0("temp/netMHCPan40/input/",mut_tmp,".fasta"))) next
if(!file.exists(paste0("temp/netMHCPan40/output/",mut_tmp,"5.xls"))) system(paste0("/home/labgroups/ccgg/tools/netMHCpan-4.0/netMHCpan -a `head temp/netMHCPan40/Other_HLA_alleles.txt` -f temp/netMHCPan40/input/",mut_tmp,".fasta -inptype 0 -l 8,9,10,11 -BA -xls -xlsfile temp/netMHCPan40/output/",mut_tmp,"5.xls > /dev/null"))
# Import results
for(i in c(1:5)){
gene_mhc1_filename<- paste0("temp/netMHCPan40/output/",mut_tmp,i,'.xls')
gene_mhc1<- read.table(gene_mhc1_filename,header = T, stringsAsFactors = F,sep ="\t",quote = "",skip=1)
# Only select peptides with actual mutation present
idx_core<- which(gene_mhc1$Pos%in%0:10) # Cannever start at position 11 (12) or higher
idx_core<- intersect(idx_core,which(nchar(gene_mhc1$Peptide)+gene_mhc1$Pos>10)) # Remove pos 0 (1) for 8/9/10-mers, ...
gene_mhc1<- gene_mhc1[idx_core,]
# Get ranks
gene_mhc1_rank<- gene_mhc1[,grep("Rank",colnames(gene_mhc1))]
colnames(gene_mhc1_rank)<- setdiff(unlist(strsplit(readLines(gene_mhc1_filename,n=1),"\t")),"")
# Calculate PBR
if(i==1) PBR_tmp<- apply(gene_mhc1_rank,MARGIN = 2, "min")
else PBR_tmp<- c(PBR_tmp,apply(gene_mhc1_rank,MARGIN = 2, "min"))
}
# PHBR for each sample
PBR_all_alleles<- cbind(
PBR_tmp[HLA_t$HLA_A1],
PBR_tmp[HLA_t$HLA_A2],
PBR_tmp[HLA_t$HLA_B1],
PBR_tmp[HLA_t$HLA_B2],
PBR_tmp[HLA_t$HLA_C1],
PBR_tmp[HLA_t$HLA_C2]
)
rownames(PBR_all_alleles)<- rownames(HLA_t)
PHBR_tmp<- apply(PBR_all_alleles,1,"harmonic_mean")
# Put to HLA matrix
common_samples<- intersect(rownames(HLA_matrix),names(PHBR_tmp)) # 8760
HLA_matrix[common_samples,mut_tmp]<- PHBR_tmp[common_samples]
}
save(mut_matrix, HLA_matrix, CCLE_maf_driver, file="data/CCLE_data.RData")
|
#!/usr/bin/env Rscript
options(error = function() { traceback(2); stop("Error encountered") } )
C_CHR <- "chr"
C_START <- "start"
C_STOP <- "stop"
C_HCLUST_METHODS <- c("ward.D", "ward.D2", "single", "complete", "average", "mcquitty", "median", "centroid")
C_OUTPUT_FORMAT <- c("pdf", "png")
## also including some globals:
infercnv.env <- new.env()
infercnv.env$GLOBAL_NUM_THREADS <- 1 # default is single-threaded.
#' @importFrom grDevices col2rgb colorRampPalette dev.off pdf png rgb
#' @importFrom graphics abline axis boxplot hist image layout lines mtext par plot points rect text title legend
#' @importFrom stats as.dendrogram as.dist cutree density dist filter median order.dendrogram quantile reorder sd complete.cases cor t.test p.adjust predict rnorm runif smooth.spline var wilcox.test dnorm ecdf ks.test lm nls pnorm qgamma qnorm rbinom rchisq rgamma rlnorm rnbinom rpois shapiro.test update
#' @importFrom utils flush.console read.table write.table tail read.csv
#' @import futile.logger
#' @importFrom methods setClass new is
#' @importFrom gplots bluered
#' @importFrom ape write.tree as.phylo
#' @importFrom fastcluster hclust
#' @import RColorBrewer
#' @importFrom Matrix Matrix rowMeans colSums
#' @importFrom dplyr %>% count
#' @import fitdistrplus
#' @import foreach
#' @import doParallel
#' @import future
#' @import coda
#' @import ggplot2
#' @import argparse
#' @importFrom edgeR estimateDisp
#' @importFrom caTools runmean
#' @importFrom coin oneway_test pvalue
#' @importFrom reshape melt
#' @importFrom rjags jags.model coda.samples
#' @importFrom BiocGenerics counts t
#' @importFrom SummarizedExperiment start colData rowData assays assays<- rowData<- colData<-
#' @importFrom SingleCellExperiment SingleCellExperiment
#' @importFrom tidyr gather
#' @importFrom parallel detectCores
#' @importFrom gridExtra ttheme_default tableGrob gtable_combine marrangeGrob
NULL
| /R/inferCNV_constants.R | no_license | gegegui/infercnv | R | false | false | 1,910 | r | #!/usr/bin/env Rscript
options(error = function() { traceback(2); stop("Error encountered") } )
C_CHR <- "chr"
C_START <- "start"
C_STOP <- "stop"
C_HCLUST_METHODS <- c("ward.D", "ward.D2", "single", "complete", "average", "mcquitty", "median", "centroid")
C_OUTPUT_FORMAT <- c("pdf", "png")
## also including some globals:
infercnv.env <- new.env()
infercnv.env$GLOBAL_NUM_THREADS <- 1 # default is single-threaded.
#' @importFrom grDevices col2rgb colorRampPalette dev.off pdf png rgb
#' @importFrom graphics abline axis boxplot hist image layout lines mtext par plot points rect text title legend
#' @importFrom stats as.dendrogram as.dist cutree density dist filter median order.dendrogram quantile reorder sd complete.cases cor t.test p.adjust predict rnorm runif smooth.spline var wilcox.test dnorm ecdf ks.test lm nls pnorm qgamma qnorm rbinom rchisq rgamma rlnorm rnbinom rpois shapiro.test update
#' @importFrom utils flush.console read.table write.table tail read.csv
#' @import futile.logger
#' @importFrom methods setClass new is
#' @importFrom gplots bluered
#' @importFrom ape write.tree as.phylo
#' @importFrom fastcluster hclust
#' @import RColorBrewer
#' @importFrom Matrix Matrix rowMeans colSums
#' @importFrom dplyr %>% count
#' @import fitdistrplus
#' @import foreach
#' @import doParallel
#' @import future
#' @import coda
#' @import ggplot2
#' @import argparse
#' @importFrom edgeR estimateDisp
#' @importFrom caTools runmean
#' @importFrom coin oneway_test pvalue
#' @importFrom reshape melt
#' @importFrom rjags jags.model coda.samples
#' @importFrom BiocGenerics counts t
#' @importFrom SummarizedExperiment start colData rowData assays assays<- rowData<- colData<-
#' @importFrom SingleCellExperiment SingleCellExperiment
#' @importFrom tidyr gather
#' @importFrom parallel detectCores
#' @importFrom gridExtra ttheme_default tableGrob gtable_combine marrangeGrob
NULL
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Sql.R
\name{renderTranslateQuerySql.ffdf}
\alias{renderTranslateQuerySql.ffdf}
\title{Render, translate, and query to ffdf}
\usage{
renderTranslateQuerySql.ffdf(
connection,
sql,
errorReportFile = file.path(getwd(), "errorReport.txt"),
snakeCaseToCamelCase = FALSE,
oracleTempSchema = NULL,
...
)
}
\arguments{
\item{connection}{The connection to the database server.}
\item{sql}{The SQL to be send.}
\item{errorReportFile}{The file where an error report will be written if an error occurs. Defaults to
'errorReport.txt' in the current working directory.}
\item{snakeCaseToCamelCase}{If true, field names are assumed to use snake_case, and are converted to camelCase.}
\item{oracleTempSchema}{A schema that can be used to create temp tables in when using Oracle or Impala.}
\item{...}{Parameters that will be used to render the SQL.}
}
\value{
An ffdf object
}
\description{
This function renders, and translates SQL, sends it to the server, and returns the results as an ffdf object
}
\details{
This function calls the \code{render} and \code{translate} functions in the SqlRender package before
calling \code{\link{querySql.ffdf}}.
}
\examples{
\dontrun{
connectionDetails <- createConnectionDetails(dbms = "postgresql",
server = "localhost",
user = "root",
password = "blah",
schema = "cdm_v4")
conn <- connect(connectionDetails)
persons <- renderTranslatequerySql.ffdf(conn,
sql = "SELECT * FROM @schema.person",
schema = "cdm_synpuf")
disconnect(conn)
}
}
| /man/renderTranslateQuerySql.ffdf.Rd | permissive | CristianPachacama/DatabaseConnector | R | false | true | 1,818 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Sql.R
\name{renderTranslateQuerySql.ffdf}
\alias{renderTranslateQuerySql.ffdf}
\title{Render, translate, and query to ffdf}
\usage{
renderTranslateQuerySql.ffdf(
connection,
sql,
errorReportFile = file.path(getwd(), "errorReport.txt"),
snakeCaseToCamelCase = FALSE,
oracleTempSchema = NULL,
...
)
}
\arguments{
\item{connection}{The connection to the database server.}
\item{sql}{The SQL to be send.}
\item{errorReportFile}{The file where an error report will be written if an error occurs. Defaults to
'errorReport.txt' in the current working directory.}
\item{snakeCaseToCamelCase}{If true, field names are assumed to use snake_case, and are converted to camelCase.}
\item{oracleTempSchema}{A schema that can be used to create temp tables in when using Oracle or Impala.}
\item{...}{Parameters that will be used to render the SQL.}
}
\value{
An ffdf object
}
\description{
This function renders, and translates SQL, sends it to the server, and returns the results as an ffdf object
}
\details{
This function calls the \code{render} and \code{translate} functions in the SqlRender package before
calling \code{\link{querySql.ffdf}}.
}
\examples{
\dontrun{
connectionDetails <- createConnectionDetails(dbms = "postgresql",
server = "localhost",
user = "root",
password = "blah",
schema = "cdm_v4")
conn <- connect(connectionDetails)
persons <- renderTranslatequerySql.ffdf(conn,
sql = "SELECT * FROM @schema.person",
schema = "cdm_synpuf")
disconnect(conn)
}
}
|
testlist <- list(m = NULL, repetitions = 0L, in_m = structure(c(2.31584307392687e+77, 4.09661819939949e+305, 1.22810536108214e+146, 4.12396251261199e-221, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), .Dim = c(5L, 7L)))
result <- do.call(CNull:::communities_individual_based_sampling_beta,testlist)
str(result) | /CNull/inst/testfiles/communities_individual_based_sampling_beta/AFL_communities_individual_based_sampling_beta/communities_individual_based_sampling_beta_valgrind_files/1615829005-test.R | no_license | akhikolla/updatedatatype-list2 | R | false | false | 361 | r | testlist <- list(m = NULL, repetitions = 0L, in_m = structure(c(2.31584307392687e+77, 4.09661819939949e+305, 1.22810536108214e+146, 4.12396251261199e-221, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), .Dim = c(5L, 7L)))
result <- do.call(CNull:::communities_individual_based_sampling_beta,testlist)
str(result) |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{curatedMarkers_human}
\alias{curatedMarkers_human}
\title{Curated cell type markers for hand-selected cell types (Human)}
\format{:
A list of gene symbols for different tissues/cell-types}
\source{
\url{http://compbio.mit.edu/ACTIONet/}
}
\usage{
curatedMarkers_human
}
\description{
Curated cell type markers for hand-selected cell types (Human)
}
\keyword{datasets}
| /man/curatedMarkers_human.Rd | no_license | shmohammadi86/ACTIONet_legacy | R | false | true | 476 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{curatedMarkers_human}
\alias{curatedMarkers_human}
\title{Curated cell type markers for hand-selected cell types (Human)}
\format{:
A list of gene symbols for different tissues/cell-types}
\source{
\url{http://compbio.mit.edu/ACTIONet/}
}
\usage{
curatedMarkers_human
}
\description{
Curated cell type markers for hand-selected cell types (Human)
}
\keyword{datasets}
|
context("Comparing three vectors")
test_that("Identifies if identical", {
expect_true(compare_three(1:10, 1:10, 1:10))
expect_false(compare_three(c("a", "a"), c("a", "a"), c("a", "b")))
expect_length(compare_three(c("a", "a"), c("a", "a"), c("a", "b"), result = "itemized"), 2)
})
test_that("Fails on different length", {
expect_error(compare_three(1:10, 1:10, 1:100),
regexp = ".*must\\shave\\slength.*")
})
| /tests/testthat/test-comparing-three.R | permissive | konradzdeb/KEmisc | R | false | false | 444 | r | context("Comparing three vectors")
test_that("Identifies if identical", {
expect_true(compare_three(1:10, 1:10, 1:10))
expect_false(compare_three(c("a", "a"), c("a", "a"), c("a", "b")))
expect_length(compare_three(c("a", "a"), c("a", "a"), c("a", "b"), result = "itemized"), 2)
})
test_that("Fails on different length", {
expect_error(compare_three(1:10, 1:10, 1:100),
regexp = ".*must\\shave\\slength.*")
})
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/recurrent.r
\name{recurrent.marginal.mean}
\alias{recurrent.marginal.mean}
\title{Estimates marginal mean of recurrent events}
\usage{
recurrent.marginal.mean(recurrent, death)
}
\arguments{
\item{recurrent}{aalen model for recurrent events}
\item{death}{aalen model for recurrent events}
}
\description{
Fitting two aalen models for death and recurent events these are
combined to prducte the estimator
\deqn{ \int_0^t S(u) dR(u) } the mean number of recurrent events, here
\deqn{ S(u) } is the probability of survival, and
\deqn{ dR(u) } is the probability of an event among survivors.
}
\details{
IID versions used for Ghosh & Lin (2000) variance. See also mets package for
quick version of this for large data mets:::recurrent.marginal, these two
version should give the same when there are no ties.
}
\examples{
\donttest{
### get some data using mets simulaitons
library(mets)
data(base1cumhaz)
data(base4cumhaz)
data(drcumhaz)
dr <- drcumhaz
base1 <- base1cumhaz
base4 <- base4cumhaz
rr <- simRecurrent(100,base1,death.cumhaz=dr)
rr$x <- rnorm(nrow(rr))
rr$strata <- floor((rr$id-0.01)/50)
drename(rr) <- start+stop~entry+time
ar <- aalen(Surv(start,stop,status)~+1+cluster(id),data=rr,resample.iid=1
,max.clust=NULL)
ad <- aalen(Surv(start,stop,death)~+1+cluster(id),data=rr,resample.iid=1,
,max.clust=NULL)
mm <- recurrent.marginal.mean(ar,ad)
with(mm,plot(times,mu,type="s"))
with(mm,lines(times,mu+1.96*se.mu,type="s",lty=2))
with(mm,lines(times,mu-1.96*se.mu,type="s",lty=2))
}
}
\references{
Ghosh and Lin (2002) Nonparametric Analysis of Recurrent events and death,
Biometrics, 554--562.
}
\author{
Thomas Scheike
}
\keyword{survival}
| /man/recurrent.marginal.mean.Rd | no_license | scheike/timereg | R | false | true | 1,866 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/recurrent.r
\name{recurrent.marginal.mean}
\alias{recurrent.marginal.mean}
\title{Estimates marginal mean of recurrent events}
\usage{
recurrent.marginal.mean(recurrent, death)
}
\arguments{
\item{recurrent}{aalen model for recurrent events}
\item{death}{aalen model for recurrent events}
}
\description{
Fitting two aalen models for death and recurent events these are
combined to prducte the estimator
\deqn{ \int_0^t S(u) dR(u) } the mean number of recurrent events, here
\deqn{ S(u) } is the probability of survival, and
\deqn{ dR(u) } is the probability of an event among survivors.
}
\details{
IID versions used for Ghosh & Lin (2000) variance. See also mets package for
quick version of this for large data mets:::recurrent.marginal, these two
version should give the same when there are no ties.
}
\examples{
\donttest{
### get some data using mets simulaitons
library(mets)
data(base1cumhaz)
data(base4cumhaz)
data(drcumhaz)
dr <- drcumhaz
base1 <- base1cumhaz
base4 <- base4cumhaz
rr <- simRecurrent(100,base1,death.cumhaz=dr)
rr$x <- rnorm(nrow(rr))
rr$strata <- floor((rr$id-0.01)/50)
drename(rr) <- start+stop~entry+time
ar <- aalen(Surv(start,stop,status)~+1+cluster(id),data=rr,resample.iid=1
,max.clust=NULL)
ad <- aalen(Surv(start,stop,death)~+1+cluster(id),data=rr,resample.iid=1,
,max.clust=NULL)
mm <- recurrent.marginal.mean(ar,ad)
with(mm,plot(times,mu,type="s"))
with(mm,lines(times,mu+1.96*se.mu,type="s",lty=2))
with(mm,lines(times,mu-1.96*se.mu,type="s",lty=2))
}
}
\references{
Ghosh and Lin (2002) Nonparametric Analysis of Recurrent events and death,
Biometrics, 554--562.
}
\author{
Thomas Scheike
}
\keyword{survival}
|
## Put comments here that give an overall description of what your
## functions do
## Adding comments
## 'makeCacheMatrix' initializes the makeCacheMatrix 'object' using the matrix
## given in the function argument
makeCacheMatrix <- function(x = matrix()) {
## Initialize an empty variable for the inverse
inv <- NULL
## 'set' creates a setter function which can be used to set 'x'
## (a matrix which has a value in the parent scope i.e. makeCachMatrix)
## to a new value. It also sets the 'inv' variable (also in parent scope)
## to NULL
set <- function(y) {
x <<- y
inv <<- NULL
}
## 'get' creates a getter function for the current value of 'x'
get <- function() x
## 'setinverse' creates a setter function which takes an argument
## (i.e. 'inverse') and assigns it to the 'inv' variable (in the parent scope).
## this function will be used cacheSolve function to store
## the inverse calculated there
setinverse <- function(inverse) inv <<-inverse
## 'getinverse', like 'get' retrieves the current value of 'inv'
getinverse <- function() inv
## the returned list below allows other environments to access the values
## within makeCacheMatrix using names
list(set = set, get = get, setinverse = setinverse, getinverse = getinverse)
}
## 'cacheSolve' takes a 'makeCacheMatrix' object as an argument and checks if an inverse
## has been calculated. If it has (i.e. the 'inv' parameter is not set to NULL) then that
## value is returned. If not, it is calculated and then stored in the object
cacheSolve <- function(x, ...) {
## Get 'inv' parameter from 'x'
inv <- x$getinverse()
## Check if an inverse value exists in 'x'
if(!is.null(inv)){
## if yes, retrieve and return this value
message('retrieving cached inverse')
return(inv)
}
## if an inverse value isn't found, get the matrix from 'x'...
matrix <- x$get()
## ... then calculate its inverse...
inv <- solve(matrix)
## ...and store it back in 'x's 'inv' parameter...
x$setinverse(inv)
##... and finally display to user
inv
}
| /cachematrix.R | no_license | mayanatid/ProgrammingAssignment2 | R | false | false | 2,533 | r | ## Put comments here that give an overall description of what your
## functions do
## Adding comments
## 'makeCacheMatrix' initializes the makeCacheMatrix 'object' using the matrix
## given in the function argument
makeCacheMatrix <- function(x = matrix()) {
## Initialize an empty variable for the inverse
inv <- NULL
## 'set' creates a setter function which can be used to set 'x'
## (a matrix which has a value in the parent scope i.e. makeCachMatrix)
## to a new value. It also sets the 'inv' variable (also in parent scope)
## to NULL
set <- function(y) {
x <<- y
inv <<- NULL
}
## 'get' creates a getter function for the current value of 'x'
get <- function() x
## 'setinverse' creates a setter function which takes an argument
## (i.e. 'inverse') and assigns it to the 'inv' variable (in the parent scope).
## this function will be used cacheSolve function to store
## the inverse calculated there
setinverse <- function(inverse) inv <<-inverse
## 'getinverse', like 'get' retrieves the current value of 'inv'
getinverse <- function() inv
## the returned list below allows other environments to access the values
## within makeCacheMatrix using names
list(set = set, get = get, setinverse = setinverse, getinverse = getinverse)
}
## 'cacheSolve' takes a 'makeCacheMatrix' object as an argument and checks if an inverse
## has been calculated. If it has (i.e. the 'inv' parameter is not set to NULL) then that
## value is returned. If not, it is calculated and then stored in the object
cacheSolve <- function(x, ...) {
## Get 'inv' parameter from 'x'
inv <- x$getinverse()
## Check if an inverse value exists in 'x'
if(!is.null(inv)){
## if yes, retrieve and return this value
message('retrieving cached inverse')
return(inv)
}
## if an inverse value isn't found, get the matrix from 'x'...
matrix <- x$get()
## ... then calculate its inverse...
inv <- solve(matrix)
## ...and store it back in 'x's 'inv' parameter...
x$setinverse(inv)
##... and finally display to user
inv
}
|
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(2)</span></strong><span class="presenceIndicator presenceListener_1836900805"></span></div><div class="snippet preview fsm fwn fcg"><span><span class="MercuryRepliedIndicator seenByListener"></span><span class="_1az _1a- _2gn"></span></span></div><div class="time"><abbr title="Thursday" data-utime="1406222572.291" class="timestamp">Thu</abbr></div></div></div></div><div class="x_div"><div class="_5c9q" data-hover="tooltip" aria-label="Mark as Read"></div></div></a></li><li><a class="messagesContent" href="https://www.facebook.com/messages/607733450" role="button"><div class="clearfix"><div class="MercuryThreadImage _8o _8s lfloat _ohe"><div size="50" class="_55lt" style="width:50px;height:50px;" data-reactid=".98"><img src="./ui_files/10489982_10152342663828451_1700033478094368756_n.jpg" width="50" height="50" alt="" class="img" data-reactid=".98.0"></div></div><div class="clearfix _42ef"><div class="snippetThumbnail rfloat _ohf"><span class="_56hv hidden_elem"><i 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lfloat _ohe"><div size="50" class="_55lt" style="width:50px;height:50px;" data-reactid=".99"><img src="./ui_files/994470_10152207885323372_6403415396523104172_n.jpg" width="50" height="50" alt="" class="img" data-reactid=".99.0"></div></div><div class="clearfix _42ef"><div class="snippetThumbnail rfloat _ohf"><span class="_56hv hidden_elem"><i style="background-image: url(/images/blank.gif);"></i></span><span class="hidden_elem"><span class="_56hy"></span><span class="_56hv"><i style="background-image: url(/images/blank.gif);"></i></span></span></div><div class="content fsm fwn fcg"><div class="author"><strong>Sneha Choudhary</strong><span class="presenceIndicator presenceListener_504153371"></span></div><div class="snippet preview fsm fwn fcg"><span><span class="MercuryRepliedIndicator seenByListener repliedLast"></span>Hi Sneha..</span></div><div class="time"><abbr title="Wednesday" data-utime="1406128422.486" class="timestamp">Wed</abbr></div></div></div></div><div class="x_div"><div class="_5c9q" data-hover="tooltip" aria-label="Mark as Unread"></div></div></a></li><li><a class="messagesContent" href="https://www.facebook.com/messages/537165995" role="button"><div class="clearfix"><div class="MercuryThreadImage _8o _8s lfloat _ohe"><div size="50" class="_55lt" style="width:50px;height:50px;" data-reactid=".9a"><img src="./ui_files/10505425_10152557839315996_7475969937511343698_n.jpg" width="50" height="50" alt="" class="img" data-reactid=".9a.0"></div></div><div class="clearfix _42ef"><div class="snippetThumbnail rfloat _ohf"><span class="_56hv hidden_elem"><i style="background-image: url(/images/blank.gif);"></i></span><span class="hidden_elem"><span class="_56hy"></span><span class="_56hv"><i style="background-image: url(/images/blank.gif);"></i></span></span></div><div class="content fsm fwn fcg"><div class="author"><strong>Himangshu Jyoti Hazarika</strong><span class="presenceIndicator presenceListener_537165995"></span></div><div class="snippet preview fsm fwn fcg"><span><span class="MercuryRepliedIndicator seenByListener repliedLast"></span>Sure</span></div><div class="time"><abbr title="Monday" data-utime="1405939497.645" class="timestamp">Mon</abbr></div></div></div></div><div class="x_div"><div class="_5c9q" data-hover="tooltip" aria-label="Mark as Unread"></div></div></a></li></div></div><img class="jewelLoading img hidden_elem" src="./ui_files/GsNJNwuI-UM.gif" alt="" width="16" height="11"></li></ul><div class="clearfix uiMorePager stat_elem _8y5 uiMorePagerLight _52jv"><div><a class="pam uiBoxWhite topborder _8y6 uiMorePagerPrimary" rel="async" href="https://www.facebook.com/#" role="button">Show Older<i class="mts mls arrow img sp_6H68Ux8tLRN sx_5fa4eb"></i></a><span class="uiMorePagerLoader pam uiBoxWhite topborder _8y6"><img class="img" src="./ui_files/GsNJNwuI-UM.gif" alt="" width="16" height="11"></span></div></div></div></div></div><div class="uiScrollableAreaTrack" style="opacity: 0;"><div class="uiScrollableAreaGripper" style="height: 270.2720207253886px; top: 0px;"></div></div></div><div id="MercuryJewelFooter"><div class="jewelFooter"><a class="seeMore" href="https://www.facebook.com/messages/" accesskey="4"><span>See All</span></a></div></div></div></div><div class="uiToggle _4962 _4xi2 west" id="fbNotificationsJewel"><a class="jewelButton" aria-labelledby="notificationsCountWrapper" href="https://www.facebook.com/#" rel="toggle" role="button" name="notifications" data-gt="{"ua_id":"jewel:notifications"}" data-target="fbNotificationsFlyout" aria-haspopup="true" aria-owns="fbNotificationsFlyout"><i class="jewelButtonHcm img sp_zx-0ABL3iAw sx_9bd663"></i><span class="jewelCount"><span class="_5ugh _3z_5 hidden_elem" id="notificationsCountValue">0</span><i class="accessible_elem"> Notifications</i></span></a><div id="fbNotificationsFlyout" class="__tw toggleTargetClosed _4xi1 uiToggleFlyout"><div class="jewelBeeperHeader"><div class="beeperNubWrapper"><div 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data-reactid=".y.0.0.0.0.0.$100000590753545=2143475159:0.0.0.0.$right.0.0.$left.0.0.0.$range0:0">Neha Singh</span><span data-reactid=".y.0.0.0.0.0.$100000590753545=2143475159:0.0.0.0.$right.0.0.$left.0.0.0.$end:0:$0:0"> likes your comment: "Arre yaar sahi mahaul hai...."</span></span><div class="_33f clearfix" data-reactid=".y.0.0.0.0.0.$100000590753545=2143475159:0.0.0.0.$right.0.0.$left.0.0.2"><div class="_ohe lfloat" data-reactid=".y.0.0.0.0.0.$100000590753545=2143475159:0.0.0.0.$right.0.0.$left.0.0.2.$left"><img class="img _8o _8r _10cu" src="./ui_files/QSjhWQt47wv.png" alt="" data-reactid=".y.0.0.0.0.0.$100000590753545=2143475159:0.0.0.0.$right.0.0.$left.0.0.2.$left.0"></div><div class="" data-reactid=".y.0.0.0.0.0.$100000590753545=2143475159:0.0.0.0.$right.0.0.$left.0.0.2.$right"><div class="_42ef _8u" data-reactid=".y.0.0.0.0.0.$100000590753545=2143475159:0.0.0.0.$right.0.0.$left.0.0.2.$right.0"><span data-reactid=".y.0.0.0.0.0.$100000590753545=2143475159:0.0.0.0.$right.0.0.$left.0.0.2.$right.0.0"><abbr class="_33g livetimestamp" title="Sunday, July 27, 2014 at 10:10pm" data-utime="1406479257" data-shorten="true" data-reactid=".y.0.0.0.0.0.$100000590753545=2143475159:0.0.0.0.$right.0.0.$left.0.0.2.$right.0.0.0">4 hrs</abbr></span></div></div></div></div></div></div></div></div></div></div></a><a href="https://www.facebook.com/#" class="_55m9 _5c9_" role="button" aria-label="Read" data-hover="tooltip" data-tooltip-alignh="center" data-reactid=".y.0.0.0.0.0.$100000590753545=2143475159:0.0.1"></a></div></li><li class="_33c _4af" data-gt="{"alert_id":143461067,"app_id":210831918949520,"unread":2,"context_id":210831918949520,"from_uids":{"666916153":"666916153","558221377":"558221377"},"notif_type":"app_invite","fbsource":1001,"type":"click2canvas","ref":"notif_jewel","request_fbids":[767270659962680,1448786102054294]}" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0"><div class="anchorContainer" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0"><a id="notif_flyout_100000590753545:143461067" href="https://apps.facebook.com/candycrush/?fb_source=notification&request_ids=767270659962680%2C1448786102054294&ref=notif&app_request_type=user_to_user¬if_t=app_invite" class="_33e" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0"><div class="clearfix" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0"><div class="_ohe lfloat" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$left"><span class="img _8o _8r _33h" style="background-image:url(https://fbcdn-profile-a.akamaihd.net/hprofile-ak-xaf1/v/t1.0-1/c66.66.828.828/s50x50/5283_10151838597331154_872785682_n.jpg?oh=f6d1c64179d5c15afb16d4b00999d7cd&oe=5434377A&__gda__=1414535345_de6e12ea1fad98768b0e139e6d9fd725);" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$left.0"><img src="./ui_files/notif_flyout_indicator.png" class="flyoutNoIndicator" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$left.0.0"></span></div><div class="" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right"><div class="_42ef _8u" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0"><div class="clearfix" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0"><div class="_ohf rfloat" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$right"><img src="./ui_files/10173495_757386157627424_390424487_n.png" class="_42td" aria-hidden="true" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$right.0"></div><div class="" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left"><div class="_42ef" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0"><div class="_4l_v" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0"><span data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0.0"><span class="fwb" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0.0.$range0:0">Aditya Saurabh</span><span data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0.0.$text1:0:$0:0"> and </span><span class="fwb" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0.0.$range1:0">Nalin Jha</span><span data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0.0.$text2:0:$0:0"> invited you to play </span><span class="fwb" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0.0.$range2:0">Candy Crush Saga</span><span data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0.0.$end:0:$0:0">.</span></span><div class="_33f clearfix" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0.2"><div class="_ohe lfloat" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0.2.$left"><img class="img _8o _8r _10cu" src="./ui_files/10173495_757386157627424_390424487_n(1).png" alt="" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0.2.$left.0"></div><div class="" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0.2.$right"><div class="_42ef _8u" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0.2.$right.0"><span data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0.2.$right.0.0"><abbr class="_33g livetimestamp" title="Sunday, July 27, 2014 at 8:22pm" data-utime="1406472721" data-shorten="true" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0.2.$right.0.0.0">6 hrs</abbr></span></div></div></div></div></div></div></div></div></div></div></a><a href="https://www.facebook.com/#" class="_55m9 _5c9q" role="button" aria-label="Mark as Read" data-hover="tooltip" data-tooltip-alignh="center" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.1"></a><a class="_4ah _55m9 uiCloseButton" data-gt="{"alert_id":143461067,"app_id":210831918949520,"unread":2,"context_id":210831918949520,"from_uids":{"558221377":"558221377","666916153":"666916153"},"notif_type":"app_invite","fbsource":1001,"type":"click2canvas","ref":"notif_jewel","request_fbids":[767270659962680,1448786102054294],"negative_feedback":"negative_click"}" href="https://www.facebook.com/#" role="button" aria-label="Turn Off" data-hover="tooltip" data-tooltip-alignh="center" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.2"><img class="uiCloseButtonHighContrast img" src="./ui_files/close.png" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.2.0"></a></div></li></ul><img src="./ui_files/indicator_blue_small.gif" class="_33i" data-reactid=".y.0.0.0.0.1"></div></div></div><div class="uiScrollableAreaTrack invisible_elem"><div class="uiScrollableAreaGripper hidden_elem"></div></div></div></div></div></div><div class="jewelFooter" id="u_0_6"><a class="seeMore" href="https://www.facebook.com/notifications" accesskey="5"><span>See All</span></a></div></div></div></div></li><li class="navItem middleItem _5cop _55bh" id="navPrivacy"><div class="uiToggle _8-a _4962" id="u_0_8"><a data-onclick="[["PrivacyLiteFlyout","loadBody"]]" class="_59fc _1ayn" aria-labelledby="privacyFlyoutLabel" href="https://www.facebook.com/#" rel="toggle" role="button" aria-haspopup="true" aria-owns="u_0_7"><div class="_59fb" id="privacyFlyoutLabel"><i class="accessible_elem">Privacy Shortcuts</i></div></a><div class="_8-b __tw toggleTargetClosed uiToggleFlyout" id="u_0_7"><div class="jewelBeeperHeader"><div class="beeperNubWrapper"><div class="beeperNub"></div></div></div><div class="uiHeader uiHeaderBottomBorder _26y1"><div class="clearfix uiHeaderTop"><div class="rfloat _ohf"><h3 class="accessible_elem">Privacy Shortcuts</h3><a class="_d1r uiHeaderActions" href="https://www.facebook.com/#" role="button"><i class="img sp_xFwBv1W8Ynk sx_681f1a"><u>Search</u></i></a></div><div><h3 class="uiHeaderTitle" aria-hidden="true">Privacy Shortcuts</h3></div></div></div><div id="fbPrivacyLiteFlyoutLoading"><img class="_26y2 img" src="./ui_files/GsNJNwuI-UM.gif" alt="" width="16" height="11"></div><div class="_bxv"><div class="_awf"><a class="_awi" href="https://www.facebook.com/#" role="button" id="u_0_9"><i class="default img sp_gPysIaDCTmE sx_ab490d"></i></a><span class="uiSearchInput _awh" id="u_0_a"><span><input type="text" class="inputtext DOMControl_placeholder" maxlength="100" aria-label="Search" name="query" placeholder="Search for help" autocomplete="off" value="Search for help"><button type="submit" title="Search for help"><span class="accessible_elem">Search for help</span></button></span></span><a class="_awj hidden_elem" href="https://www.facebook.com/#" role="button" id="u_0_b"></a></div><div class="_awg"><div class="_awk hidden_elem" id="u_0_h"></div><div class="_awl hidden_elem" id="u_0_i"><img class="img" src="./ui_files/jKEcVPZFk-2.gif" alt="" width="32" height="32"></div></div></div><div class="_4_8m"></div><div class="_26y3"><a class="_5cw0" href="https://www.facebook.com/settings/?tab=privacy&privacy_source=privacy_lite">See More Settings</a><a class="_5cw1" href="https://www.facebook.com/help/?ref=privacy_lite" target="_blank">Visit Help Center</a></div></div></div></li><li class="_3tmp" id="u_0_j"><a class="_1xn5 _1ayn" id="pageLoginAnchor" href="https://www.facebook.com/editaccount.php?ref=mb&drop" rel="toggle" role="button" aria-haspopup="true" aria-controls="userNavigation" aria-labelledby="userNavigationLabel"><div class="_50__" id="userNavigationLabel">Account Settings</div></a><div class="navigation" id="userNavigation" role="menu navigation" aria-label="Account Menu"><div class="jewelBeeperHeader"><div class="beeperNubWrapper"><div class="beeperNub"></div></div></div><ul><li role="menuitem"><a class="navSubmenu" href="https://www.facebook.com/pages/create/?ref_type=logout_gear">Create Page</a></li><li class="menuDivider"></li><li role="menuitem"><a class="navSubmenu" href="https://www.facebook.com/campaign/landing.php?placement=tcr&campaign_id=276899725739312&extra_1=auto">Create Ads</a></li><li role="menuitem"><a class="navSubmenu" href="https://www.facebook.com/campaign/landing.php?placement=tad&campaign_id=264263327005748&extra_1=auto">Advertising on Facebook</a></li><li class="menuDivider"></li><li role="menuitem"><a class="navSubmenu" accesskey="7" href="https://www.facebook.com/mayur.kumar.77/allactivity?privacy_source=activity_log_top_menu"><div class="clearfix"><div class="lfloat _ohe">Activity Log</div><span class="count _5wk0 mls rfloat _ohf uiSideNavCount uiSideNavCountInline"><span class="countValue fss">60</span></span></div></a></li><li role="menuitem"><a class="navSubmenu" href="https://www.facebook.com/settings" accesskey="6">Settings</a></li><li id="user_chooser_settings_menu_replaceme" class="hidden_elem"></li><li role="menuitem"><form id="logout_form" method="post" action="https://www.facebook.com/logout.php" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="fb_dtsg" value="AQFcXAeFeVL6" autocomplete="off"><input type="hidden" autocomplete="off" name="ref" value="mb"><input type="hidden" autocomplete="off" name="h" value="AfdveCfCYR9jrhoC"><label class="uiLinkButton navSubmenu"><input class="uiLinkButtonInput" type="submit" value="Log Out"></label></form></li><li class="menuDivider"></li><li role="menuitem"><a class="navSubmenu" href="https://www.facebook.com/help/?ref=drop" id="navHelpCenter" target="_blank" ajaxify="/help/ajax/contextual/?page_type=364455653583099" rel="async"><div class="clearfix"><div class="lfloat _ohe">Help</div><img class="rfloat _ohf uiLoadingIndicatorAsync img" src="./ui_files/GsNJNwuI-UM.gif" alt="" width="16" height="11"></div></a></li><li role="menuitem"><a class="navSubmenu" ajaxify="/help/ajax/report_a_problem" rel="dialog" href="https://www.facebook.com/#" role="button">Report a Problem</a></li></ul></div></li></ul></div><div class="_585-" role="search"><i class="_585_"></i><div class="uiTypeahead _5860" data-ft="{"tn":"+Q"}" id="u_0_d"><div class="wrap"><input type="hidden" autocomplete="off" class="hiddenInput"><div class="innerWrap"><div class="_5861 textInput _586g _586p focus_target" id="u_0_e" style="font-size: 14px;"><div class="_586j">Search for people, places and things</div><div class="_586k hidden_elem"></div><input type="text" class="inputtext _586f DOMControl_placeholder hidden_elem" name="q" value="Search for people, places and things" autocomplete="off" onfocus="Bootloader.loadModules(["FacebarTypeaheadNavigation","FacebarTypeaheadDecorateEntities","FacebarTypeaheadDisambiguateResults","FacebarTypeaheadSeeMoreSerp","FacebarTypeaheadSizeAdjuster","FacebarTypeaheadShortcut","FacebarTypeaheadQuickSelect","FacebarTypeaheadAutoWidth","FacebarTypeaheadMagGo","FacebarTypeaheadSelectAll","FacebarTypeaheadPrefixLengthOrderedCache","FacebarTypeaheadRecorderBasic","FacebarTypeaheadHashtagResult","FacebarTypeaheadSearchMap","FacebarTypeaheadCore","FacebarTypeaheadView","FacebarDataSource","FacebarTypeahead"], emptyFunction);" placeholder="Search for people, places and things" aria-label="Search for people, places and things" tabindex="-1"><div class="_586i" onfocus="Bootloader.loadModules(["FacebarTypeaheadNavigation","FacebarTypeaheadDecorateEntities","FacebarTypeaheadDisambiguateResults","FacebarTypeaheadSeeMoreSerp","FacebarTypeaheadSizeAdjuster","FacebarTypeaheadShortcut","FacebarTypeaheadQuickSelect","FacebarTypeaheadAutoWidth","FacebarTypeaheadMagGo","FacebarTypeaheadSelectAll","FacebarTypeaheadPrefixLengthOrderedCache","FacebarTypeaheadRecorderBasic","FacebarTypeaheadHashtagResult","FacebarTypeaheadSearchMap","FacebarTypeaheadCore","FacebarTypeaheadView","FacebarDataSource","FacebarTypeahead"], emptyFunction);" role="textbox" aria-autocomplete="list" aria-expanded="false" aria-owns="js_0" aria-haspopup="true" contenteditable="true" spellcheck="false" tabindex="1"></div><input type="text" tabindex="-1" style="position: absolute; top: 0px; left: -100px; width: 1px; height: 1px;"></div></div></div></div></div></div></div></div><div class="_7fw"><div class="_7fz" id="u_0_k"></div><div class="_7fx"></div></div><div class="pagesVoiceBar"><div id="pagesVoiceBarContent"></div><div id="pagesVoiceBarShadow"></div></div></div></div></div><div id="globalContainer" class="uiContextualLayerParent"><div id="content" class="fb_content clearfix"><div><div id="toolbarContainer" class="hidden_elem"><div id="toolbarContainer" class="hidden_elem"></div></div><div id="mainContainer"><div id="leftCol"><div id="pagelet_welcome_box" data-referrer="pagelet_welcome_box"><div class="clearfix fbxWelcomeBox litestandClassicWelcomeBox" data-gt="{"ref":"bookmarks"}"><a class="fbxWelcomeBoxBlock _8o _8s lfloat _ohe" aria-hidden="true" data-gt="{"bmid":100000590753545,"count":0,"bookmark_type":"type_self_timeline"}" href="https://www.facebook.com/mayur.kumar.77" tabindex="-1"><img class="_s0 fbxWelcomeBoxImg _rw img" src="./ui_files/10492488_855847354444948_8753844995165142862_n.jpg" alt="" id="profile_pic_welcome_100000590753545"></a><div class="_42ef"><div class="_6a prs"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><a class="fbxWelcomeBoxName" data-gt="{"bmid":100000590753545,"count":0,"bookmark_type":"type_self_timeline"}" href="https://www.facebook.com/mayur.kumar.77">Mayur Kumar</a><a href="https://www.facebook.com/mayur.kumar.77?sk=info&edit=eduwork&ref=home_edit_profile">Edit Profile</a></div></div></div></div></div><div id="pagelet_navigation" data-referrer="pagelet_navigation"><div class="_5plv"><div aria-label="Apps" role="navigation" class="uiFutureSideNav" data-gt="{"ref":"bookmarks"}" id="sideNav" data-ft="{"tn":"+H"}"><div id="pagelet_pinned_nav" data-referrer="pagelet_pinned_nav"><div class="homeSideNav" id="pinnedNav"><h4 class="navHeader accessible_elem">FAVORITES</h4><div class="mts mbm droppableNav"><ul class="uiSideNav" data-gt="{"nav_items_count":"3","nav_section":"pinnedNav","bm_sec":"pinnedNav"}"><li class="sideNavItem stat_elem selectedItem open" data-bookmarkid="4748854339" id="navItem_app_4748854339"><div class="_6a uiPopover uiSideNavAux" id="u_0_3n"><a class="_2jq5 _p" aria-label="Sort options" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_3o"></a></div><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_3q"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit News Feed" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_3r"></a></div></div><a class="item clearfix" href="https://www.facebook.com/?sk=nf" title="News Feed" data-gt="{"bmid":"4748854339","count":"0","bookmark_type":"type_newsfeed","rank":"1"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_2b1c6e"></i></span><div class="linkWrap noCount">News Feed</div></div></a></li><li class="sideNavItem stat_elem" data-bookmarkid="217974574879787" id="navItem_app_217974574879787"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_3k"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Messages" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_3l"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/messages/" title="Messages" data-gt="{"bmid":"217974574879787","count":"39","bookmark_type":"type_facebook_app","rank":"2"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">38</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_e0e00d"></i></span><div class="linkWrap hasCount">Messages</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="2344061033" id="navItem_app_2344061033"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_3t"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Events" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_3u"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/events/list?ref=46" title="Events" data-gt="{"bmid":"2344061033","count":"1","bookmark_type":"type_facebook_app","rank":"3"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">1</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_QJMnTnphIUg sx_f54935"></i></span><div class="linkWrap hasCount">Events</div></div></a><span class="mover hidden_elem"></span></li></ul><div class="actionLinks stat_elem"><a class="navEditDone" href="https://www.facebook.com/#" data-endpoint="/ajax/bookmark/edit/" role="button"><span class="navEdit">Edit</span><span class="navDone">Done</span></a><span class="img _55ym _55yn _55yo loadingIndicator" aria-label="Loading..." aria-busy="1"></span></div></div></div></div><div id="pagelet_bookmark_nav" data-referrer="pagelet_bookmark_nav"><div><div class="homeSideNav" id="groupsNav" data-ft="{"tn":"+X"}"><h4 class="navHeader"><a href="https://www.facebook.com/browsegroups/?category=membership&ref=bookmark_header"><div class="clearfix"><div class="lfloat _ohe">GROUPS</div><span class="mrm rfloat _ohf"><div class="bookmarksNavSeeAll">More</div><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span></span></div></a></h4><ul class="uiSideNav mts mbm nonDroppableNav" data-ft="{"tn":"+X"}" data-gt="{"nav_items_count":"14","nav_section":"groupsNav","bm_sec":"groupsNav"}"><li class="sideNavItem stat_elem" data-bookmarkid="697850363602950" id="navItem_group_697850363602950"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_52"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit lets do it guys ;)" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_53"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/697850363602950/" title="lets do it guys ;)" data-gt="{"bmid":"697850363602950","count":"7","bookmark_type":"type_group","rank":"1"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">7</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><img class="img" src="./ui_files/_9rFHMj4DIY.png" alt="" width="16" height="16"></span><div class="linkWrap hasCount">lets do it guys ;)</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="1486334851608134" id="navItem_group_1486334851608134"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_4b"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit राष्ट्रकवि रामधारी सिंह "दिनकर"" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_4c"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/1486334851608134/" title="राष्ट्रकवि रामधारी सिंह "दिनकर"" data-gt="{"bmid":"1486334851608134","count":"7","bookmark_type":"type_group","rank":"2"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">7</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_7ce2bb"></i></span><div class="linkWrap hasCount">राष्ट्रकवि रामधारी सिंह "दिनकर"</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="458089457642810" id="navItem_group_458089457642810"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_4e"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit MDI Job Referrals" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_4f"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/mdigurgaon/" title="MDI Job Referrals" data-gt="{"bmid":"458089457642810","count":"0","bookmark_type":"type_group","rank":"3"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 hidden_elem uiSideNavCount"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><img class="img" src="./ui_files/3OYk4ErGiUt.png" alt="" width="16" height="16"></span><div class="linkWrap noCount">MDI Job Referrals</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="398637273528511" id="navItem_group_398637273528511"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_4h"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit MIT Manipal Alumni Open group" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_4i"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/mitmanipalalumni/" title="MIT Manipal Alumni Open group" data-gt="{"bmid":"398637273528511","count":"25","bookmark_type":"type_group","rank":"4"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">20</span><span class="maxCountIndicator">+</span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_jQ50cqjcfGy sx_98b83e"></i></span><div class="linkWrap hasCount">MIT Manipal Alumni Open group</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="284314518394092" id="navItem_group_284314518394092"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_55"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Travel Buddy" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_56"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/284314518394092/" title="Travel Buddy" data-gt="{"bmid":"284314518394092","count":"25","bookmark_type":"type_group","rank":"5"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">20</span><span class="maxCountIndicator">+</span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_db668e"></i></span><div class="linkWrap hasCount">Travel Buddy</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="288841594499715" id="navItem_group_288841594499715"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_4k"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit I&CT MIT Manipal" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_4l"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/288841594499715/" title="I&CT MIT Manipal" data-gt="{"bmid":"288841594499715","count":"0","bookmark_type":"type_group","rank":"6"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 hidden_elem uiSideNavCount"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_e7c025"></i></span><div class="linkWrap noCount">I&CT MIT Manipal</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="150893991629890" id="navItem_group_150893991629890"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_4n"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Beehad Hard Gane 90 ke dashak ke" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_4o"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/150893991629890/" title="Beehad Hard Gane 90 ke dashak ke" data-gt="{"bmid":"150893991629890","count":"25","bookmark_type":"type_group","rank":"7"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">20</span><span class="maxCountIndicator">+</span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_e7c025"></i></span><div class="linkWrap hasCount">Beehad Hard Gane 90 ke dashak ke</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="137568023111395" id="navItem_group_137568023111395"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_4q"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit MDI PGP 2012 - 14" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_4r"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/137568023111395/" title="MDI PGP 2012 - 14" data-gt="{"bmid":"137568023111395","count":"17","bookmark_type":"type_group","rank":"8"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">17</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_jQ50cqjcfGy sx_98b83e"></i></span><div class="linkWrap hasCount">MDI PGP 2012 - 14</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="248292315251935" id="navItem_group_248292315251935"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_4t"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit In loving memory of a friend" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_4u"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/248292315251935/" title="In loving memory of a friend" data-gt="{"bmid":"248292315251935","count":"17","bookmark_type":"type_group","rank":"9"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">17</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_e7c025"></i></span><div class="linkWrap hasCount">In loving memory of a friend</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="137645986366973" id="navItem_group_137645986366973"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_4w"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit MDI PGP 2012-14" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_4x"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/mdi.pgp.2014/" title="MDI PGP 2012-14" data-gt="{"bmid":"137645986366973","count":"25","bookmark_type":"type_group","rank":"10"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">20</span><span class="maxCountIndicator">+</span></span><span class="grip"></span></div><div><span class="imgWrap"><img class="img" src="./ui_files/_9rFHMj4DIY.png" alt="" width="16" height="16"></span><div class="linkWrap hasCount">MDI PGP 2012-14</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="345181272212991" id="navItem_group_345181272212991"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_4z"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit MADSAM TINZIN" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_50"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/345181272212991/" title="MADSAM TINZIN" data-gt="{"bmid":"345181272212991","count":"25","bookmark_type":"type_group","rank":"11"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">20</span><span class="maxCountIndicator">+</span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_e7c025"></i></span><div class="linkWrap hasCount">MADSAM TINZIN</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="1453691111529322" id="navItem_app_1453691111529322"><div class="buttonWrap"></div><a class="item clearfix" href="https://www.facebook.com/browsegroups/?category=membership&ref=bookmarks&dismissnux=1" title="Manage Your Groups" data-gt="{"bmid":"1453691111529322","count":"0","bookmark_type":"type_group_tool","rank":"12"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 hidden_elem uiSideNavCount"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span></div><div><span class="imgWrap"><img class="img" src="./ui_files/p8wxhmZcSa_.png" alt="" width="16" height="16"></span><div class="linkWrap noCount">Manage Your Groups</div></div></a></li><li class="sideNavItem stat_elem" data-bookmarkid="637803516301738" id="navItem_app_637803516301738"><div class="buttonWrap"></div><a class="item clearfix" href="https://www.facebook.com/browsegroups?ref=bookmarks&dismissnux=true" title="Find New Groups" data-gt="{"bmid":"637803516301738","count":"0","bookmark_type":"type_group_tool","rank":"13"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 hidden_elem uiSideNavCount"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span></div><div><span class="imgWrap"><img class="img" src="./ui_files/TbPApve0wPE.png" alt="" width="16" height="16"></span><div class="linkWrap noCount">Find New Groups</div></div></a></li><li class="sideNavItem stat_elem" data-bookmarkid="230259100322928" id="navItem_app_230259100322928"><div class="buttonWrap"></div><a class="item clearfix" rel="dialog" href="https://www.facebook.com/ajax/groups/create_get.php?ref=bookmarks" title="Create Group" data-gt="{"bmid":"230259100322928","count":"0","bookmark_type":"type_group_tool","rank":"14"}" role="button"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 hidden_elem uiSideNavCount"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_0d2f32"></i></span><div class="linkWrap noCount">Create Group</div></div></a></li></ul></div><div class="homeSideNav" id="appsNav" data-ft="{"tn":"+X"}"><h4 class="navHeader"><a href="https://www.facebook.com/bookmarks/apps"><div class="clearfix"><div class="lfloat _ohe">APPS</div><span class="mrm rfloat _ohf"><div class="bookmarksNavSeeAll">More</div><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span></span></div></a></h4><ul class="uiSideNav mts mbm nonDroppableNav" data-ft="{"tn":"+X"}" data-gt="{"nav_items_count":"8","nav_section":"appsNav","bm_sec":"appsNav"}"><li class="sideNavItem stat_elem" data-bookmarkid="140332009231" id="navItem_app_140332009231"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_58"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Apps and Games" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_59"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/games/?from_bookmark=1" title="Games" data-gt="{"bmid":"140332009231","count":"33","bookmark_type":"type_game_tool","rank":"1","type":"click2appcenter"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">20</span><span class="maxCountIndicator">+</span></span><span class="grip"></span></div><div><span class="imgWrap"><img class="img" src="./ui_files/3JtZHx9TaF3.png" alt="" width="16" height="16"></span><div class="linkWrap hasCount">Games</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="2389801228" id="navItem_app_2389801228"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_5b"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Texas HoldEm Poker" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_5c"></a></div></div><a class="item clearfix sortableItem" rel="nofollow" href="https://www.facebook.com/l.php?u=https%3A%2F%2Fapps.facebook.com%2Ftexas_holdem%2F%3Ffb_source%3Dbookmark%26ref%3Dbookmarks%26count%3D1%26fb_bmpos%3D2_1&h=lAQFnv-YS&s=1" title="Texas HoldEm Poker" data-gt="{"bmid":"2389801228","count":"1","bookmark_type":"type_canvas_app_game","rank":"2","type":"click2canvas","appid":"2389801228","fbsource":"301"}" onmouseover="LinkshimAsyncLink.swap(this, "https:\/\/apps.facebook.com\/texas_holdem\/?fb_source=bookmark&ref=bookmarks&count=1&fb_bmpos=2_1");" onclick="LinkshimAsyncLink.swap(this, "\/l.php?u=https\u00253A\u00252F\u00252Fapps.facebook.com\u00252Ftexas_holdem\u00252F\u00253Ffb_source\u00253Dbookmark\u002526ref\u00253Dbookmarks\u002526count\u00253D1\u002526fb_bmpos\u00253D2_1&h=lAQFnv-YS&s=1");"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">1</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><img class="img" height="16" src="./ui_files/851561_10151520509171229_2012052015_n.png" width="16" alt=""></span><div class="linkWrap hasCount">Texas HoldEm Poker</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="183217215062060" id="navItem_app_183217215062060"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_42"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Pokes" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_43"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/pokes?ref_type=bookmark" title="Pokes" data-gt="{"bmid":"183217215062060","count":"1","bookmark_type":"type_facebook_app","rank":"3"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">1</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_220762"></i></span><div class="linkWrap hasCount">Pokes</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="133451120007663" id="navItem_app_133451120007663"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_5e"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Truth Game" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_5f"></a></div></div><a class="item clearfix sortableItem" rel="nofollow" href="https://www.facebook.com/l.php?u=https%3A%2F%2Fapps.facebook.com%2Fsocialtrueorfalse%2F%3Ffb_source%3Dbookmark%26ref%3Dbookmarks%26count%3D3%26fb_bmpos%3D4_3&h=MAQGTW2rm&s=1" title="Truth Game" data-gt="{"bmid":"133451120007663","count":"3","bookmark_type":"type_canvas_app_non_game","rank":"4","type":"click2canvas","appid":"133451120007663","fbsource":"301"}" onmouseover="LinkshimAsyncLink.swap(this, "https:\/\/apps.facebook.com\/socialtrueorfalse\/?fb_source=bookmark&ref=bookmarks&count=3&fb_bmpos=4_3");" onclick="LinkshimAsyncLink.swap(this, "\/l.php?u=https\u00253A\u00252F\u00252Fapps.facebook.com\u00252Fsocialtrueorfalse\u00252F\u00253Ffb_source\u00253Dbookmark\u002526ref\u00253Dbookmarks\u002526count\u00253D3\u002526fb_bmpos\u00253D4_3&h=MAQGTW2rm&s=1");"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">3</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><img class="img" height="16" src="./ui_files/851560_597214673631303_41456674_n.gif" width="16" alt=""></span><div class="linkWrap hasCount">Truth Game</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="291549705119" id="navItem_app_291549705119"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_5h"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit CityVille" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_5i"></a></div></div><a class="item clearfix sortableItem" rel="nofollow" href="https://www.facebook.com/l.php?u=https%3A%2F%2Fapps.facebook.com%2Fcityville%2F%3Ffb_source%3Dbookmark%26ref%3Dbookmarks%26count%3D0%26fb_bmpos%3D5_0&h=JAQHiD1x7&s=1" title="CityVille" data-gt="{"bmid":"291549705119","count":"0","bookmark_type":"type_canvas_app_game","rank":"5","type":"click2canvas","appid":"291549705119","fbsource":"301"}" onmouseover="LinkshimAsyncLink.swap(this, "https:\/\/apps.facebook.com\/cityville\/?fb_source=bookmark&ref=bookmarks&count=0&fb_bmpos=5_0");" onclick="LinkshimAsyncLink.swap(this, "\/l.php?u=https\u00253A\u00252F\u00252Fapps.facebook.com\u00252Fcityville\u00252F\u00253Ffb_source\u00253Dbookmark\u002526ref\u00253Dbookmarks\u002526count\u00253D0\u002526fb_bmpos\u00253D5_0&h=JAQHiD1x7&s=1");"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 hidden_elem uiSideNavCount"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><img class="img" height="16" src="./ui_files/851578_10151677700040120_627798878_n.png" width="16" alt=""></span><div class="linkWrap noCount">CityVille</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="2305272732" id="navItem_app_2305272732"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_3w"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Photos" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_3x"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/mayur.kumar.77/photos?ref_type=bookmark" title="Photos" data-gt="{"bmid":"2305272732","count":"0","bookmark_type":"type_facebook_app","rank":"6"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 hidden_elem uiSideNavCount"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_4ab491"></i></span><div class="linkWrap noCount">Photos</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="124318160942877" id="navItem_app_124318160942877"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_5k"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Get Revealed" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_5l"></a></div></div><a class="item clearfix sortableItem" rel="nofollow" href="https://www.facebook.com/l.php?u=https%3A%2F%2Fapps.facebook.com%2Fgetrevealed%2F%3Ffb_source%3Dbookmark%26ref%3Dbookmarks%26count%3D3%26fb_bmpos%3D7_3&h=TAQEhAmGV&s=1" title="Get Revealed" data-gt="{"bmid":"124318160942877","count":"3","bookmark_type":"type_canvas_app_non_game","rank":"7","type":"click2canvas","appid":"124318160942877","fbsource":"301"}" onmouseover="LinkshimAsyncLink.swap(this, "https:\/\/apps.facebook.com\/getrevealed\/?fb_source=bookmark&ref=bookmarks&count=3&fb_bmpos=7_3");" onclick="LinkshimAsyncLink.swap(this, "\/l.php?u=https\u00253A\u00252F\u00252Fapps.facebook.com\u00252Fgetrevealed\u00252F\u00253Ffb_source\u00253Dbookmark\u002526ref\u00253Dbookmarks\u002526count\u00253D3\u002526fb_bmpos\u00253D7_3&h=TAQEhAmGV&s=1");"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">3</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><img class="img" height="16" src="./ui_files/851582_536987513009271_727903419_n.gif" width="16" alt=""></span><div class="linkWrap hasCount">Get Revealed</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="261369767293002" id="navItem_app_261369767293002"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_45"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Games Feed" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_46"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/apps/feed" title="Games Feed" data-gt="{"bmid":"261369767293002","count":"230","bookmark_type":"type_game_tool","rank":"8"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">20</span><span class="maxCountIndicator">+</span></span><span class="grip"></span></div><div><span class="imgWrap"><img class="img" src="./ui_files/jr7r-LBNMdR.png" alt="" width="16" height="16"></span><div class="linkWrap hasCount">Games Feed</div></div></a><span class="mover hidden_elem"></span></li></ul></div><div class="homeSideNav" id="listsNav" data-ft="{"tn":"+X"}"><h4 class="navHeader"><a href="https://www.facebook.com/bookmarks/lists"><div class="clearfix"><div class="lfloat _ohe">FRIENDS</div><span class="mrm rfloat _ohf"><div class="bookmarksNavSeeAll">More</div><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span></span></div></a></h4><ul class="uiSideNav mts mbm nonDroppableNav" data-ft="{"tn":"+X"}" data-gt="{"nav_items_count":"1","nav_section":"listsNav","bm_sec":"listsNav"}"><li class="sideNavItem stat_elem" data-bookmarkid="485218421507845" id="navItem_fl_485218421507845"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_5n"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Management Development Institute" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_5o"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/lists/485218421507845" title="Management Development Institute" data-gt="{"bmid":"485218421507845","count":"0","bookmark_type":"type_friend_list","rank":"1"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 hidden_elem uiSideNavCount"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><img class="img" src="./ui_files/nyGEC6hOf9m.png" alt="" width="16" height="16"></span><div class="linkWrap noCount">Management Development Institute</div></div></a><span class="mover hidden_elem"></span></li></ul></div><div class="homeSideNav" id="interestsNav" data-ft="{"tn":"+X"}"><h4 class="navHeader"><a href="https://www.facebook.com/bookmarks/interests"><div class="clearfix"><div class="lfloat _ohe">INTERESTS</div><span class="mrm rfloat _ohf"><div class="bookmarksNavSeeAll">More</div><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span></span></div></a></h4><ul class="uiSideNav mts mbm nonDroppableNav" data-ft="{"tn":"+X"}" data-gt="{"nav_items_count":"1","nav_section":"interestsNav","bm_sec":"interestsNav"}"><li class="sideNavItem stat_elem" data-bookmarkid="298069413556081" id="navItem_fl_298069413556081"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_5q"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Pages and Public Figures" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_5r"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/lists/298069413556081" title="Pages and Public Figures" data-gt="{"bmid":"298069413556081","count":"0","bookmark_type":"type_interest_list","rank":"1"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 hidden_elem uiSideNavCount"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><img class="img" src="./ui_files/C0eConWN8vs.png" alt="" width="16" height="16"></span><div class="linkWrap noCount">Pages and Public Figures</div></div></a><span class="mover hidden_elem"></span></li></ul></div><div class="homeSideNav" id="pagesNav" data-ft="{"tn":"+X"}"><h4 class="navHeader">PAGES</h4><ul class="uiSideNav mts mbm nonDroppableNav" data-ft="{"tn":"+X"}" data-gt="{"nav_items_count":"3","nav_section":"pagesNav","bm_sec":"pagesNav"}"><li class="sideNavItem stat_elem" data-bookmarkid="140472815972081" id="navItem_app_140472815972081"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_48"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Pages Feed" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_49"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/pages/feed?ref=bookmarks" title="Pages Feed" data-gt="{"bmid":"140472815972081","count":"65","bookmark_type":"type_pinnable_page_tool","rank":"1"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">20</span><span class="maxCountIndicator">+</span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_f60a2f"></i></span><div class="linkWrap hasCount">Pages Feed</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="357937250942127" id="navItem_app_357937250942127"><div class="buttonWrap"></div><a class="item clearfix" href="https://www.facebook.com/pages" title="Like Pages" data-gt="{"bmid":"357937250942127","count":"0","bookmark_type":"type_pinnable_page_tool","rank":"2"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 hidden_elem uiSideNavCount"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_ae654a"></i></span><div class="linkWrap noCount">Like Pages</div></div></a></li><li class="sideNavItem stat_elem" data-bookmarkid="188619144602540" id="navItem_app_188619144602540"><div class="buttonWrap"></div><a class="item clearfix" href="https://www.facebook.com/pages/create/?ref_type=bookmark" title="Create Page" data-gt="{"bmid":"188619144602540","count":"0","bookmark_type":"type_page_tool","rank":"3"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 hidden_elem uiSideNavCount"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span></div><div><span class="imgWrap"><img class="img" src="./ui_files/6E9hzsKtqGP.png" alt="" width="16" height="16"></span><div class="linkWrap noCount">Create Page</div></div></a></li></ul></div><div class="homeSideNav" id="developerNav" data-ft="{"tn":"+X"}"><h4 class="navHeader"><a href="https://developers.facebook.com/apps"><div class="clearfix"><div class="lfloat _ohe">DEVELOPER</div><span class="mrm rfloat _ohf"><div class="bookmarksNavSeeAll">More</div><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span></span></div></a></h4><ul class="uiSideNav mts mbm nonDroppableNav" data-ft="{"tn":"+X"}" data-gt="{"nav_items_count":"1","nav_section":"developerNav","bm_sec":"developerNav"}"><li class="sideNavItem stat_elem" data-bookmarkid="188833664616804" id="navItem_app_188833664616804"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_3z"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Developer Insights" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_40"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/insights/?ref=bm" title="Insights" data-gt="{"bmid":"188833664616804","count":"0","bookmark_type":"type_developer_tool","rank":"1"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 hidden_elem uiSideNavCount"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><img class="img" src="./ui_files/qXp0obBTSK_.png" alt="" width="15" height="16"></span><div class="linkWrap noCount">Insights</div></div></a><span class="mover hidden_elem"></span></li></ul></div></div></div></div><div id="pagelet_pinned_nav" data-referrer="pagelet_pinned_nav"></div><div id="pagelet_bookmark_nav" data-referrer="pagelet_bookmark_nav"></div></div></div></div><div id="contentCol" class="homeWiderContent homeFixedLayout hasExpandedComposer newsFeedComposer _5r-_ homeFixedLayout hasRightCol" data-referrer="contentCol" style="min-height: 100px;"><div><div id="headerArea" class="hidden_elem"></div><div id="rightCol" role="complementary"><div class="_5rzs _5v6d"><div class="home_right_column tickerOnTop"><div class="rightColumnWrapper fixed_elem" style="top: -498px;"><div class="_4-u2 _5v6e" id="u_jsonp_4_0"><div class="hidden_rhc_ticker pagelet hidden_elem" id="pagelet_rhc_ticker"></div><div class="pagelet" id="pagelet_reminders" data-referrer="pagelet_reminders"><div class=" pagelet _5qrt _y92 _1snm egoOrganicColumn"><div><div><div class="tickerToggleWrapper displayedTickerToggleWrapper fbRemindersThickline toggleWrapperWithoutMargin"><a data-hover="tooltip" aria-label="Show Ticker" data-tooltip-alignh="center" class="tickerLineToggle stat_elem" ajaxify="/ajax/feed/ticker/hide/?hide=0" rel="async-post" href="https://www.facebook.com/#" role="button"><div class="tickerLineToggleNormal"><img class="img" src="./ui_files/g9fa9rLidUb.png" alt="" width="12" height="10"></div><div class="tickerLineToggleAsync"><img class="uiLoadingIndicatorAsync img" src="./ui_files/GsNJNwuI-UM.gif" alt="" width="16" height="11"></div></a></div></div><div class="fbReminders"><div class="clearfix fbRemindersStory" id="u_jsonp_4_z"><a href="https://www.facebook.com/#" id="birthday_reminders_link" role="button"><div class="clearfix"><i class="fbRemindersIcon _8o _8r lfloat _ohe img sp_843e1e sx_fc4977"></i><div class="_8u _42ef"><span class="_50f8"><span class="fbRemindersTitle"><strong>Naveen Bolla</strong></span>'s birthday is today</span></div></div></a></div><div class="clearfix fbRemindersStory" id="u_jsonp_4_y"><a href="https://www.facebook.com/#" id="pages_reminders_link" role="button"><div class="clearfix"><i class="fbRemindersIcon _8o _8r lfloat _ohe img sp_Fl-Bi-rXZkL sx_5bc1ce"></i><div class="_8u _42ef"><span class="_50f8"><span class="fbRemindersTitle"><strong>Abhishek Kumar</strong></span> and <span class="fbRemindersTitle">41 others</span> invited you to like Pages</span></div></div></a></div></div></div></div><span class="muffin_tracking_pixel_start"></span><iframe src="./ui_files/ai(1).html" class="fbEmuTracking" width="0" height="0" scrolling="no" frameborder="0"></iframe><span class="muffin_tracking_pixel_end"></span></div><div class="pagelet" id="pagelet_trending_tags_and_topics" data-referrer="pagelet_trending_tags_and_topics"><div class="_5mym"><div class="uiHeader uiHeaderTopBorder pbs _2w2d"><div class="clearfix uiHeaderTop"><div><h6 class="uiHeaderTitle"><a class="_2w2e" href="https://www.facebook.com/help/1401671260054622" target="_blank">Trending</a></h6></div></div></div><div class="_5my7"><div id="u_2c_1s"><ul class="_5myl"><li class="_5my2" data-position="1" id="u_2c_17"><div class="clearfix _4_nm"><button value="1" class="_42ft _5upp _19_3 rfloat _ohf" title="Hide" type="submit" id="u_2c_18"><span></span></button><div class="clearfix _uhk _19_2 _42ef"><img class="_5r-z _8o lfloat _ohe img" alt="" src="./ui_files/-PAXP-deijE.gif"><div class="_42ef"><div class="_5r--"><span><span><a class="_5cl5 _7ge _5v0t _5v0s" href="https://www.facebook.com/topic/Avengers-Age-of-Ultron/568422066549498?source=whfrt&position=1&trqid=6040847686396380970"><span class="_452y"></span><span class="_5my8">Avengers: Age of Ultron</span></a>: </span><span class="_5v9v">Marvel Brought The Goods From ‘Avengers: Age Of Ultron’ To Comic-Con</span></span></div></div></div></div><div class="clearfix _4_nl hidden_elem" id="u_2c_19"><img class="_19_0 _8o lfloat _ohe img" alt="" src="./ui_files/-PAXP-deijE.gif"><div class="_42ef"><div><div class="clearfix"><span class="lfloat _ohe fwb">Topic Hidden</span><a class="_4_nn rfloat _ohf" href="https://www.facebook.com/#" role="button">Undo</a></div><div class="mbm">We'll try not to show you this topic again.</div><form class="mbs" action="https://www.facebook.com/#" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)" id="u_2c_1t"><div class="mbs">Why did you hide it?</div><div class="uiInputLabel clearfix"><label class="_55sh uiInputLabelInput" id="u_2c_1b"><input type="radio" name="trending_hide_reason" value="1" id="u_2c_1a"><span></span></label><label for="u_2c_1a" class="uiInputLabelLabel">I don't care about this</label></div><div class="uiInputLabel clearfix"><label class="_55sh uiInputLabelInput" id="u_2c_1d"><input type="radio" name="trending_hide_reason" value="2" id="u_2c_1c"><span></span></label><label for="u_2c_1c" class="uiInputLabelLabel">I keep seeing this</label></div><div class="uiInputLabel clearfix"><label class="_55sh uiInputLabelInput" id="u_2c_1f"><input type="radio" name="trending_hide_reason" value="3" id="u_2c_1e"><span></span></label><label for="u_2c_1e" class="uiInputLabelLabel">It's offensive or inappropriate</label></div><div class="uiInputLabel clearfix"><label class="_55sh uiInputLabelInput" id="u_2c_1h"><input type="radio" name="trending_hide_reason" value="4" 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class="UFICommentActorName" data-hovercard="/ajax/hovercard/hovercard.php?id=100004927363232&extragetparams=%7B%22hc_location%22%3A%22ufi%22%7D" data-ft="{"tn":";"}" dir="ltr" href="https://www.facebook.com/surbhi.shriwastava.37" data-reactid=".46.1:3:1:$comment10152452206563880_10152452221403880:0.0.$right.0.$left.0.0.$author.0">Surbhi Shriwastava</a></span><span data-reactid=".46.1:3:1:$comment10152452206563880_10152452221403880:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".46.1:3:1:$comment10152452206563880_10152452221403880:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".46.1:3:1:$comment10152452206563880_10152452221403880:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".46.1:3:1:$comment10152452206563880_10152452221403880:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Very true darling......n we r lucky dat we are sharing such kind of relationship.....miss u lot...</span></span></span><span 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data-reactid=".4r.1:3:1:$comment10152592287329168_10152592522654168:0.0.$right.0.$left.0.0.$author.0" onmousedown="this.href = this.href.replace('__md__=0', '__md__=1');">Kyle Kelly</a></span><span data-reactid=".4r.1:3:1:$comment10152592287329168_10152592522654168:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".4r.1:3:1:$comment10152592287329168_10152592522654168:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".4r.1:3:1:$comment10152592287329168_10152592522654168:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".4r.1:3:1:$comment10152592287329168_10152592522654168:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Never had interest in the first place. Why carry a tablet around when my laptop isn't much bigger or heavier?</span></span></span><span data-reactid=".4r.1:3:1:$comment10152592287329168_10152592522654168:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".4r.1:3:1:$comment10152592287329168_10152592522654168:0.0.$right.0.$left.0.3"><a class="UFILikeLink" data-ft="{"tn":">"}" href="https://www.facebook.com/#" role="button" title="Like this comment" data-reactid=".4r.1:3:1:$comment10152592287329168_10152592522654168:0.0.$right.0.$left.0.3.$likeToggle:0">Like</a><span data-reactid=".4r.1:3:1:$comment10152592287329168_10152592522654168:0.0.$right.0.$left.0.3.$commentReply:0:$MIDDOT:0"> · </span><a class="UFIReplyLink" href="https://www.facebook.com/#" data-reactid=".4r.1:3:1:$comment10152592287329168_10152592522654168:0.0.$right.0.$left.0.3.$commentReply:0:$action:0">Reply</a><span 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data-reactid=".4r.1:3:1:$comment10152592287329168_10152592514859168:0.0.$right.0.$left.0.0.$author.0" onmousedown="this.href = this.href.replace('__md__=0', '__md__=1');">Ivan Kutyrev</a></span><span data-reactid=".4r.1:3:1:$comment10152592287329168_10152592514859168:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".4r.1:3:1:$comment10152592287329168_10152592514859168:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".4r.1:3:1:$comment10152592287329168_10152592514859168:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".4r.1:3:1:$comment10152592287329168_10152592514859168:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Can't lose an interest if you didn't have it in the first place..</span></span></span><span data-reactid=".4r.1:3:1:$comment10152592287329168_10152592514859168:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" 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class="_5pbw" data-ft="{"tn":"C"}" id="js_64"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/ssouvik8?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1630893146&extragetparams=%7B%22fref%22%3A%22nf%22%2C%22directed_target_id%22%3A284314518394092%7D">Souvik Saha</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/groups/284314518394092/?fref=nf" data-hovercard="/ajax/hovercard/group.php?id=284314518394092&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Travel Buddy</a></span></div></h5><div class="_5pcp" id="js_65"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/groups/284314518394092/permalink/321212378037639/"><abbr title="Monday, July 28, 2014 at 1:17am" data-utime="1406490427" data-shorten="1" class="_5ptz timestamp livetimestamp">1 hr</abbr></a> · <a class="_5pcq" href="https://www.facebook.com/pages/Gurgaon-Haryana/106487939387579" data-hovercard="/ajax/hovercard/page.php?id=106487939387579">Gurgaon</a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_4_ae" aria-label="Shared with: Members of Travel Buddy"><i class="lock img sp_843e1e sx_447ccd"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}" id="js_66"><p>Which would be a better place to go at this time? Kasol or Mcleodganj? Or maybe Lansdowne? PLease share your experiences.</p></div><div></div><div><form rel="async" class="live_321212378037639_316526391751760 commentable_item autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":321213008037576}" id="u_jsonp_4_a7" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQGu_d_uoqoN" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"1630893146","target_fbid":"321212378037639","target_profile_id":"","type_id":"308","assoc_obj_id":"284314518394092","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406490426","check_hash":"AQBX8LCXT0_Xwy90","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div 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data-hovercard="/ajax/hovercard/hovercard.php?id=693685012&extragetparams=%7B%22hc_location%22%3A%22ufi%22%7D" data-ft="{"tn":";"}" dir="ltr" href="https://www.facebook.com/rahul.stylejunction?fref=ufi" data-reactid=".4n.1:3:1:$comment321212378037639_321212654704278:0.0.$right.0.$left.0.0.$author.0">Rahul Sood</a></span><span data-reactid=".4n.1:3:1:$comment321212378037639_321212654704278:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".4n.1:3:1:$comment321212378037639_321212654704278:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".4n.1:3:1:$comment321212378037639_321212654704278:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".4n.1:3:1:$comment321212378037639_321212654704278:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Kasol anyday....</span></span></span><span data-reactid=".4n.1:3:1:$comment321212378037639_321212654704278:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg 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data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Go to Kheerganga, 32 kms from Kasol</span></span></span><span data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.3"><span data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.3.$metadata:0"><a class="uiLinkSubtle" 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class="mentionsHidden" value="" data-reactid=".4n.1:4.0.$right.0.0.0.0.2"></div><div class="UFICommentAttachmentButtons clearfix" data-reactid=".4n.1:4.0.$right.0.0.0.1"><div class="UFIPhotoAttachLinkWrapper _m" data-hover="tooltip" data-tooltip-alignh="center" aria-label="Attach a Photo" data-reactid=".4n.1:4.0.$right.0.0.0.1.0"><i class="UFICommentPhotoIcon" data-reactid=".4n.1:4.0.$right.0.0.0.1.0.0"><input type="file" accept="image/*" class="_n" name="file" title="Choose a file to upload" aria-label="Choose a file to upload"></i></div></div></div></div></div></div></div></li></ul></div></form></div></div></div><div class="_4-u2 mbm _5jmm _5pat _5v3q _5x16 _2l4l _x72" data-ft="{"qid":"6040832212780584222","mf_story_key":"-5284350930492807642","fbfeed_location":1,"insertion_position":3}" data-cursor="MTQwNjQ5MDg1MjoxNDA2NDkwODUyOjQ6LTUyODQzNTA5MzA0OTI4MDc2NDI6MTQwNjQ4ODE0MDow" data-dedupekey="-5284350930492807642" data-timestamp="1406486776" id="u_jsonp_4_8s" aria-labelledby="js_67 js_68 js_69 js_70 js_71 js_72 js_73" data-insertion-position="3"><div class="_5pcr clearfix" id="u_jsonp_4_8v"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_4_94" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_4_96"></a></div><h5 class="mbs _5pbw" data-ft="{"tn":"C"}" id="js_67"><div class="fwn fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/chandrachudasarma" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=100000189921464">Chandrachuda Sharma</a></span> and <a data-hover="tooltip" aria-label="Naman Sharma
Aditya Chadha
Bharath Velishala
and 12 more..." data-tooltip-position="below" href="https://www.facebook.com/#" ajaxify="/ajax/browser/dialog/participants/?q=AeKFhkW72h3sZAYldazWUjJAzcwFgQHu2O58tiTwJ67pwk6e7ak1MT0kZzELMubGUA8m1NUgWaGq3qh0EZqIcr4M3hnC8xDrcHyQQJlWqFTBWIWalzeQgiLiZ_wzneuL5xbzI8-2F5sTv1ALjhjVDDL0N9cPJySNKc0y3VKpahDOP3zi5bM3d4Arp6xWnVi89N8UnWPCdKJdiOef2MxqNTSB9oVJu3uqUbNTnu-HVvrc03liiUMj_2ptQOOl-GFMfU_vnbJS-4cKS8tOR_vLsvFJUGkDjH_NYY6oXKhrg0TjDETXebRunaNBy4nCGsRrExjz9uLPbmtjjK7p-V1Gfddjz2Nsliinhhof9vRqqXK7u618aWAKoro7dyjoTElgG0TkgSdVFyXM7vJy5OD80g2yZvU1k7xJ_ZJvYU6YS8COfiMB-hVOZWKFLd0U0zJV3rOk6zFf_7ZXpVJqoqVGc8AkePNz1Orp5O_-WtrS4aVPJDnrZVTrhxjo8xtu9iMQzxnZXyH1VRpu55dRQZ47fMzk-diMqAmR64z6EsblTiavcx_XOMZG6IAZea7yiKBsQH0gSWoXDgLIT8Vk310ZFnF4zo2eJ9xJgWrLZpaz67Q-csi8ZVr9_Oolgz-3oNw4yW-2Ua2d-Q-oLNZGXhPE_TkukKMwBRIPxZXWrGO-VTbDRe1rKmtm4QVpawDc1PH3CJSTQb2MkF1I5NZdRMe_DmbqqT_aY5Q5oRYqBkvlAZx5HwvioPrw1NUGbonue5o33L6_rK7k-J7J2fOWZLndhNXo3tE1Eb7utF4hdplJogaxLmVZjYsxB0obOXsJ53zjQMdci5XcPhg8iW2yLOozuQNBNyn30628d22GL7FoFt3uzS8toUwsndGjnjydAefVaFP1Ge9kwfwU0xr4vGVFqpsjVgszjMoNYlr19dN09Jhsxg" rel="dialog" data-ft="{"tn":"l"}" role="button">15 others</a> wrote on <a class="profileLink" href="https://www.facebook.com/sainaveen721" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=1663627786">Naveen Bolla</a>'s timeline.</span></div></h5><div class="clearfix mvm"><a class="_8o _8t lfloat _ohe" href="https://www.facebook.com/sainaveen721" tabindex="-1" aria-hidden="true" data-hovercard="/ajax/hovercard/user.php?id=1663627786"><div class="uiScaledImageContainer" style="width: 90px; height: 90px"><img class="scaledImageFitWidth img" src="./ui_files/1538682_10202283464882375_844078298_n.jpg" alt="" width="90" height="90"></div></a><div class="_42ef"><div class="mbs fwb"><a href="https://www.facebook.com/sainaveen721" data-hovercard="/ajax/hovercard/user.php?id=1663627786">Naveen Bolla</a></div><div class="mbs fcg">Birthday: Today</div><ul class="uiList _4kg _6-h _704 _6-i"><li><form rel="async" class="uiStreamInlineAction" action="https://www.facebook.com/ajax/stream/inline.php" method="post" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)" id="u_jsonp_4_97"><input type="hidden" name="fb_dtsg" value="AQGu_d_uoqoN" autocomplete="off"><div class="formWrapper"><input type="hidden" autocomplete="off" name="walltarget" value="1663627786"><input type="hidden" autocomplete="off" name="render_notif_only" value="1"><input type="hidden" autocomplete="off" name="birthday" value="1"><div class="uiMentionsInput" id="u_jsonp_4_98"><div class="highlighter"><div><span class="highlighterContent"></span></div></div><div class="uiTypeahead mentionsTypeahead" data-ft="{"tn":"+Q"}" id="u_jsonp_4_99"><div class="wrap"><input type="hidden" autocomplete="off" class="hiddenInput"><div class="innerWrap"><textarea class="enter_submit DOMControl_placeholder uiTextareaNoResize uiTextareaAutogrow uiStreamInlineTextarea inlineReplyTextArea mentionsTextarea textInput" title="Write a birthday wish on his timeline..." placeholder="Write a birthday wish on his timeline..." name="message" cols="48" role="textbox" aria-autocomplete="list" autocomplete="off" aria-expanded="false" aria-owns="typeahead_list_u_jsonp_4_99" aria-haspopup="true" onkeydown="run_with(this, ["legacy:control-textarea"], function() {TextAreaControl.getInstance(this)});" id="u_jsonp_4_9a">Write a birthday wish on his timeline...</textarea></div></div></div><input type="hidden" autocomplete="off" class="mentionsHidden"></div><label class="hidden_elem"><input name="post" value="Post" type="submit" class="enter_submit_target"></label></div><input type="hidden" autocomplete="off" name="source" value="avatar_attachment"></form></li></ul></div></div><div class="stat_elem"><ul class="uiList uiCollapsedList uiCollapsedListHidden _5pbz _5va0 _4kg" id="u_jsonp_4_9b"><li><div class="userContentWrapper _5pcr mbs _5v9_ _5va1 _3ccb" data-dedup="S:_I100000189921464:945535718796083" id="u_jsonp_4_90" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_4_9c" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_4_9m"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/chandrachudasarma?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=100000189921464"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/67132_556186177731041_585147869_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_68"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/chandrachudasarma?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=100000189921464&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Chandrachuda Sharma</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/sainaveen721?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1663627786&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Naveen Bolla</a></span></div></h6><div class="_5pcp" id="js_72"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/sainaveen721/posts/10203560581729498"><abbr title="Monday, July 28, 2014 at 12:16am" data-utime="1406486776" data-shorten="1" class="_5ptz timestamp livetimestamp">2 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_4_af" aria-label="Shared with: Public"><i class="lock img sp_xFwBv1W8Ynk sx_07a954"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}" id="js_73"><p>Orey Happy birthday ra..</p></div><div></div><div><form rel="async" class="live_10203560581729498_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_4_9v" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQGu_d_uoqoN" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"100000189921464","target_fbid":"10203560581729498","target_profile_id":"1663627786","type_id":"100","assoc_obj_id":"","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406486776","check_hash":"AQBhXwnKFuIyG51f","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp _5vsi"><span><span data-reactid=".4a"><a class="UFILikeLink accessible_elem" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-reactid=".4a.0">Like</a><a class="UFILikeLink" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-ft="{"tn":">"}" data-reactid=".4a.1">Like</a></span></span> · <label class="uiLinkButton comment_link" title="Leave a comment"><input class="uiLinkButtonInput" data-ft="{"type":24,"tn":"S"}" type="button" value="Comment" onclick="return fc_click(this);"></label> · <span><a class="share_action_link" data-ft="{ "tn": "J", "type": 25 }" href="https://www.facebook.com/ajax/sharer/?s=65&appid=2719290516&p[0]=100000189921464&p[1]=10203560581729498&share_source_type=unknown&__av=100000590753545" rel="dialog" title="Send this to friends or post it on your timeline." data-reactid=".4b">Share</a></span></div></div></div><div class="uiUfi UFIContainer _5pc9 _5vsj _5v9k" id="u_jsonp_4_a0"><ul class="UFIList" data-reactid=".4c"><li class="UFIRow UFIComponent UFIAddComment UFIAddCommentWithPhotoAttacher UFIFirstComponent UFILastComponent" data-ft="{"tn":"["}" data-reactid=".4c.1:4"><div class="UFIMentionsInputWrap clearfix" data-reactid=".4c.1:4.0"><div class="_ohe lfloat" data-reactid=".4c.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".4c.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur Kumar" data-reactid=".4c.1:4.0.$left.0.0"></div></div><div class="" data-reactid=".4c.1:4.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".4c.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".4c.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".4c.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".4c.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".4c.1:4.0.$right.0.0.0.0.0"><div data-reactid=".4c.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" data-reactid=".4c.1:4.0.$right.0.0.0.0.0.0.0"></span></div></div><div class="uiTypeahead mentionsTypeahead" data-reactid=".4c.1:4.0.$right.0.0.0.0.1"><div class="wrap" data-reactid=".4c.1:4.0.$right.0.0.0.0.1.0"><input type="hidden" autocomplete="off" class="hiddenInput" data-reactid=".4c.1:4.0.$right.0.0.0.0.1.0.0"><div class="innerWrap" data-reactid=".4c.1:4.0.$right.0.0.0.0.1.0.1"><textarea name="add_comment_text" class="textInput mentionsTextarea uiTextareaAutogrow uiTextareaNoResize UFIAddCommentInput DOMControl_placeholder" title="Write a comment..." placeholder="Write a comment..." data-reactid=".4c.1:4.0.$right.0.0.0.0.1.0.1.0">Write a comment...</textarea></div></div></div><input type="hidden" autocomplete="off" class="mentionsHidden" value="" data-reactid=".4c.1:4.0.$right.0.0.0.0.2"></div><div class="UFICommentAttachmentButtons clearfix" data-reactid=".4c.1:4.0.$right.0.0.0.1"><div class="UFIPhotoAttachLinkWrapper _m" data-hover="tooltip" data-tooltip-alignh="center" aria-label="Attach a Photo" data-reactid=".4c.1:4.0.$right.0.0.0.1.0"><i class="UFICommentPhotoIcon" data-reactid=".4c.1:4.0.$right.0.0.0.1.0.0"><input type="file" accept="image/*" class="_n" name="file" title="Choose a file to upload" aria-label="Choose a file to upload"></i></div></div></div></div></div></div></div></li></ul></div></form></div></div></li><li><div class="userContentWrapper _5pcr mvs _5v9_ _5va1 _3ccb" data-dedup="S:_I1806904242:10201476718358992" id="u_jsonp_4_91" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_4_9d" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_4_9o"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/naman.sharma.1800?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=1806904242"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/1796457_10200668324829659_419841048_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_69"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/naman.sharma.1800?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1806904242&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Naman Sharma</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/sainaveen721?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1663627786&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Naveen Bolla</a></span></div></h6><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/sainaveen721/posts/10203560562249011"><abbr title="Monday, July 28, 2014 at 12:11am" data-utime="1406486498" data-shorten="1" class="_5ptz timestamp livetimestamp">2 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_4_ag" aria-label="Shared with: Public"><i class="lock img sp_xFwBv1W8Ynk sx_07a954"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}"><p>Happy B'day</p></div><div></div><div><form rel="async" class="live_10203560562249011_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_4_9w" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQGu_d_uoqoN" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"1806904242","target_fbid":"10203560562249011","target_profile_id":"1663627786","type_id":"100","assoc_obj_id":"","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406486498","check_hash":"AQAGFFMsD-QBoGzU","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp _5vsi"><span><span data-reactid=".4d"><a class="UFILikeLink accessible_elem" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" 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data-reactid=".4f.1:4"><div class="UFIMentionsInputWrap clearfix" data-reactid=".4f.1:4.0"><div class="_ohe lfloat" data-reactid=".4f.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".4f.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur Kumar" data-reactid=".4f.1:4.0.$left.0.0"></div></div><div class="" data-reactid=".4f.1:4.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".4f.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".4f.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".4f.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".4f.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".4f.1:4.0.$right.0.0.0.0.0"><div data-reactid=".4f.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" 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tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=754438500"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/10434312_10152498669578501_7595833544498234698_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_70"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/adityarchadha?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=754438500&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Aditya Chadha</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/sainaveen721?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1663627786&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Naveen Bolla</a></span></div></h6><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/sainaveen721/posts/10203560535808350"><abbr title="Monday, July 28, 2014 at 12:06am" data-utime="1406486189" data-shorten="1" class="_5ptz timestamp livetimestamp">2 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_4_ah" aria-label="Shared with: Public"><i class="lock img sp_xFwBv1W8Ynk sx_07a954"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}"><p>happy bday <i class="_4-k1 img sp_F6Afu2XGiZY sx_a8bc3e"></i></p></div><div></div><div><form rel="async" class="live_10203560535808350_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_4_9x" onsubmit="return window.Event && Event.__inlineSubmit && 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src="./ui_files/1960041_10152363808472265_1989571149_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_71"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/bharath.velishala?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=633702264&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Bharath Velishala</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/sainaveen721?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1663627786&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Naveen Bolla</a></span></div></h6><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/sainaveen721/posts/10203560704692572"><abbr title="Monday, July 28, 2014 at 12:39am" data-utime="1406488140" data-shorten="1" class="_5ptz timestamp 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class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/suyashkant?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=856885384"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/10372006_10154252722540385_2367321161725996696_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h5 class="_5pbw" data-ft="{"tn":"C"}" id="js_74"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/suyashkant?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=856885384&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Suyash Kant</a></span></div></h5><div class="_5pcp" id="js_75"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/suyashkant/posts/10154433971925385"><abbr title="Sunday, July 27, 2014 at 9:17pm" data-utime="1406476076" data-shorten="1" class="_5ptz timestamp livetimestamp">5 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_4_aj" aria-label="Shared with: Public"><i class="lock img sp_xFwBv1W8Ynk sx_07a954"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}" id="js_76"><p>Riots - Request all friends to spread and maintain peace.Any rage whatsoever,should be expressed as a message for peace and not against each others.People spreading communal hatred now should be diligently taught to reconsider their opinions and understand that root cause of all this is nothing but political cynicism.All anger could instead be intelligently channelised to demonstrate and campaign against the communal forces.India is and always will remain Secular. <a class="_58cn" href="https://www.facebook.com/hashtag/unity?source=feed_text&story_id=10154433971925385" 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now! Download it at <a href="http://l.facebook.com/l.php?u=http%3A%2F%2Fsmarturl.it%2Fghoststories&h=2AQEM0fH9&s=1" target="_blank" rel="nofollow" onmouseover="LinkshimAsyncLink.swap(this, "http:\/\/smarturl.it\/ghoststories");" onclick="LinkshimAsyncLink.referrer_log(this, "http:\/\/smarturl.it\/ghoststories", "\/si\/ajax\/l\/render_linkshim_log\/?u=http\u00253A\u00252F\u00252Fsmarturl.it\u00252Fghoststories&h=2AQEM0fH9&render_verification=0&enc&d");">http://smarturl.it/ghoststories</a> or get the CD at <a href="http://l.facebook.com/l.php?u=http%3A%2F%2Fsmarturl.it%2Fghoststoriescd&h=_AQGKiLXB&s=1" target="_blank" rel="nofollow" onmouseover="LinkshimAsyncLink.swap(this, "http:\/\/smarturl.it\/ghoststoriescd");" onclick="LinkshimAsyncLink.referrer_log(this, "http:\/\/smarturl.it\/ghoststoriescd", "\/si\/ajax\/l\/render_linkshim_log\/?u=http\u00253A\u00252F\u00252Fsmarturl.it\u00252Fghoststoriescd&h=_AQGKiLXB&render_verification=0&enc&d");">http://smarturl.it/ghoststoriescd</a> ~ Follow 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class="_4-u2 mbm _5jmm _5pat _5v3q _5x16 _2l4l _x72" data-ft="{"qid":"6040832212780584222","mf_story_key":"4220279481215032944","fbfeed_location":1,"insertion_position":8}" data-cursor="MTQwNjQ5MDg1MjoxNDA2NDkwODUyOjk6NDIyMDI3OTQ4MTIxNTAzMjk0NDoxNDA2NDg0OTY4OjA=" data-dedupekey="4220279481215032944" data-timestamp="1406484968" id="u_jsonp_5_r" data-insertion-position="8"><div class="userContentWrapper _5pcr _3ccb" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_5_s" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_5_1h"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/profile.php?id=100000153349477&fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=100000153349477"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/1533955_804159206265850_382736482_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h5 class="_5pbw" data-ft="{"tn":"C"}"><div class="fwn fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/profile.php?id=100000153349477" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=100000153349477">Manish Kumar</a></span> shared <a class="profileLink" href="https://www.facebook.com/sarika.dheer" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=100001781942071">Sarika Dheer</a>'s <a href="https://www.facebook.com/photo.php?v=701458749923517" data-ft="{"tn":"F"}">video</a>.</span></div></h5><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/permalink.php?story_fbid=919645351383901&id=100000153349477"><abbr title="Sunday, July 27, 2014 at 11:46pm" data-utime="1406484968" data-shorten="1" class="_5ptz timestamp livetimestamp">2 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_5_1x" aria-label="Shared with: Manish's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="userContent"></div><div><div><div class="_5r69"><div class="mtm"><div data-ft="{"tn":"H"}"><div class="_6n_ mtm" style="width:400px;" data-ft="{"tn":"F"}"><a href="https://www.facebook.com/photo.php?v=701458749923517" rel="theater" ajaxify="https://www.facebook.com/photo.php?v=701458749923517&player_origin=newsfeed"><div class="uiScaledImageContainer _57tt" style="width:400px;height:224px;"><img class="scaledImageFitWidth img" src="./ui_files/10549450_701460496590009_701458749923517_17782_997_b.jpg" alt="" width="400" height="224"></div><i class="_6o1"></i><div class="_5b_0 _5bgz"><div class="_578n fsm fwb">01:07</div></div></a></div></div><div class="mtm plm _5pcm"><div class="mbs fwn fcg" data-ft="{"tn":"C"}"><div class="_5pcn fwb" data-ft="{"tn":";"}"><a href="https://www.facebook.com/photo.php?v=701458749923517&fref=nf">Sarika Dheer</a></div></div><div class="mtm _5pco" data-ft="{"tn":"K"}"><p>Kindly share this video as much as u can.....</p></div></div></div></div></div></div><div><form rel="async" class="live_919645351383901_316526391751760 commentable_item autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_5_1i" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" 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href="https://www.facebook.com/headpai?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=876075360"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/10305505_10154087974245361_6122121650125895954_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h5 class="_5pbw" data-ft="{"tn":"C"}" id="js_80"><div class="fwn fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/headpai" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=876075360">Krishnanand S Pai</a></span> added 3 new photos.</span></div></h5><div class="_5pcp" id="js_81"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/headpai/posts/10154361495720361"><abbr title="Sunday, July 27, 2014 at 10:40pm" data-utime="1406481046" data-shorten="1" class="_5ptz timestamp livetimestamp">3 hrs</abbr></a></span></span> 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href="https://www.facebook.com/headpai?fref=ufi" data-reactid=".56.1:3:1:$comment10154361495720361_10154361554670361:0.0.$right.0.$left.0.0.$author.0">Krishnanand S Pai</a></span><span data-reactid=".56.1:3:1:$comment10154361495720361_10154361554670361:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".56.1:3:1:$comment10154361495720361_10154361554670361:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".56.1:3:1:$comment10154361495720361_10154361554670361:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".56.1:3:1:$comment10154361495720361_10154361554670361:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Yeah man...totally new things to do</span></span></span><span data-reactid=".56.1:3:1:$comment10154361495720361_10154361554670361:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".56.1:3:1:$comment10154361495720361_10154361554670361:0.0.$right.0.$left.0.3"><span 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data-reactid=".56.1:3:1:$comment10154361495720361_10154361558500361:0.0.$right.0.$left.0.0.$author.0">Dhruv Jauhar</a></span><span data-reactid=".56.1:3:1:$comment10154361495720361_10154361558500361:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".56.1:3:1:$comment10154361495720361_10154361558500361:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".56.1:3:1:$comment10154361495720361_10154361558500361:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".56.1:3:1:$comment10154361495720361_10154361558500361:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Hahaha I guess you would be a changed man by the time you get back to gurgaon :l</span></span></span><span data-reactid=".56.1:3:1:$comment10154361495720361_10154361558500361:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".56.1:3:1:$comment10154361495720361_10154361558500361:0.0.$right.0.$left.0.3"><span 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data-ft="{"qid":"6040832212780584222","mf_story_key":"-7463363901000223798","fbfeed_location":1,"insertion_position":10}" data-cursor="MTQwNjQ5MDg1MjoxNDA2NDkwODUyOjExOi03NDYzMzYzOTAxMDAwMjIzNzk4OjE0MDYzNDgxMDM6MA==" data-dedupekey="-7463363901000223798" data-timestamp="1406348103" id="u_jsonp_5_z" data-insertion-position="10"><div class="userContentWrapper _5pcr _3ccb" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_5_10" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_5_1b"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/Kaul046?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=709875210"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/1465380_10152042892260211_430644926_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h5 class="_5pbw" data-ft="{"tn":"C"}"><div class="fwn fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/Kaul046" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=709875210">Mukut Kaul</a></span> updated his cover photo.</span></div></h5><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/photo.php?fbid=10152544089270211&set=a.10150529748560211.426869.709875210&type=1" rel="theater" 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data-hovercard="/ajax/hovercard/page.php?id=190313434323691"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/524659_541118035909894_2022767661_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h5 class="_5pbw" data-ft="{"tn":"C"}" id="js_83"><div class="fwn fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/IndianCricketTeam?ref=stream" data-ft="{"tn":"k"}" data-hovercard="/ajax/hovercard/page.php?id=190313434323691">Indian Cricket Team</a></span> added 3 new photos.</span></div></h5><div class="_5pcp" id="js_84"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/IndianCricketTeam/posts/780486001973095"><abbr title="Sunday, July 27, 2014 at 11:42pm" data-utime="1406484779" data-shorten="1" class="_5ptz timestamp livetimestamp">2 hrs</abbr></a></span></span> · <a data-hover="tooltip" aria-label="Public" class="uiStreamPrivacy 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data-reactid=".59.1:3:1:$comment10153014476352119_10153015247977119:0.0.$right.0.$left.0.0.$author.0">Bernd Berndhausen</a></span><span data-reactid=".59.1:3:1:$comment10153014476352119_10153015247977119:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".59.1:3:1:$comment10153014476352119_10153015247977119:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".59.1:3:1:$comment10153014476352119_10153015247977119:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".59.1:3:1:$comment10153014476352119_10153015247977119:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">be a man</span></span></span><span data-reactid=".59.1:3:1:$comment10153014476352119_10153015247977119:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".59.1:3:1:$comment10153014476352119_10153015247977119:0.0.$right.0.$left.0.3"><span 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data-reactid=".59.1:3:1:$comment10153014476352119_10153015401227119:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".59.1:3:1:$comment10153014476352119_10153015401227119:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Akhir karna kya chahte ho tum bhai!! <span class="_1az _1a- _2g6"></span><span class="_1az _1a- _2g6"></span></span></span></span><span data-reactid=".59.1:3:1:$comment10153014476352119_10153015401227119:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".59.1:3:1:$comment10153014476352119_10153015401227119:0.0.$right.0.$left.0.3"><span data-reactid=".59.1:3:1:$comment10153014476352119_10153015401227119:0.0.$right.0.$left.0.3.$metadata:0"><a class="uiLinkSubtle" href="https://www.facebook.com/photo.php?fbid=10153014476352119&set=a.10150534509987119.443689.638822118&type=1&comment_id=10153015401227119&offset=0&total_comments=6" data-ft="{"tn":"N"}" 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fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/profile.php?id=580061482" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=580061482&extragetparams=%7B%22directed_target_id%22%3A1486334851608134%7D">Manoj Kumar</a></span> changed the name of the group "रामधारी सिंह "दिनकर"" to "राष्ट्रकवि रामधारी सिंह "दिनकर"".</span></div></h5><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/groups/1486334851608134/permalink/1486340071607612/"><abbr title="Saturday, July 26, 2014 at 4:05pm" data-utime="1406370903" data-shorten="1" class="_5ptz">July 26 at 4:05pm</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_6_r" aria-label="Shared with: Members of राष्ट्रकवि रामधारी सिंह "दिनकर""><i class="lock img sp_843e1e 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_509- _4ki" data-ft="{"tn":"l"}"><li class="_43q7 _8yc"><a data-hover="tooltip" aria-label="Tina Madsam Tinzin" class="link" href="https://www.facebook.com/tina.bhardwaj.39" data-jsid="anchor"><img class="_s0 _ry img" src="./ui_files/1545234_10203032994129653_1979303625_n.jpg" alt="Tina Madsam Tinzin" data-jsid="img"></a></li><li class="_43q7 _8yc"><a data-hover="tooltip" aria-label="Abhinav Bhaskar" class="link" href="https://www.facebook.com/abhinav.bhaskar" data-jsid="anchor"><img class="_s0 _ry img" src="./ui_files/1896767_10152157479905219_443007042_n.jpg" alt="Abhinav Bhaskar" data-jsid="img"></a></li><li class="_43q7 _8yc"><a data-hover="tooltip" aria-label="Siddharth Dixit" class="link" href="https://www.facebook.com/siddharth.dixit.104" data-jsid="anchor"><img class="_s0 _ry img" src="./ui_files/10433838_10203667792952698_6520676624572670771_n.jpg" alt="Siddharth Dixit" data-jsid="img"></a></li><li class="_43q7 _8yc"><a data-hover="tooltip" aria-label="Manoj Kumar" 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value="{"actor":"580061482","target_fbid":"1486340071607612","target_profile_id":"","type_id":"308","assoc_obj_id":"1486334851608134","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406370902","check_hash":"AQA54vhKsHN53Kv0","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp _5vsi"><span><span data-reactid=".67"><a class="UFILikeLink accessible_elem" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-reactid=".67.0">Like</a><a class="UFILikeLink" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-ft="{"tn":">"}" data-reactid=".67.1">Like</a></span></span> · <label class="uiLinkButton comment_link" title="Leave a comment"><input class="uiLinkButtonInput" data-ft="{"type":24,"tn":"S"}" type="button" value="Comment" onclick="return 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value="" data-reactid=".68.1:4.0.$right.0.0.0.0.2"></div><div class="UFICommentAttachmentButtons clearfix" data-reactid=".68.1:4.0.$right.0.0.0.1"><div class="UFIPhotoAttachLinkWrapper _m" data-hover="tooltip" data-tooltip-alignh="center" aria-label="Attach a Photo" data-reactid=".68.1:4.0.$right.0.0.0.1.0"><i class="UFICommentPhotoIcon" data-reactid=".68.1:4.0.$right.0.0.0.1.0.0"><input type="file" accept="image/*" class="_n" name="file" title="Choose a file to upload" aria-label="Choose a file to upload"></i></div></div></div></div></div></div></div></li></ul></div></form></div></div></div><div class="_4-u2 mbm _5jmm _5pat _5v3q _5x16 _2l4l" data-ft="{"qid":"6040833772564963057","mf_story_key":"-9197047082979487606","fbfeed_location":1,"insertion_position":14}" data-cursor="MTQwNjQ5MDg1MjoxNDA2NDkwODUyOjE1Oi05MTk3MDQ3MDgyOTc5NDg3NjA2OjE0MDY0NzQxMzE6MA==" data-dedupekey="-9197047082979487606" data-timestamp="1406474131" id="u_jsonp_6_3" aria-labelledby="js_89 js_90 js_91 js_92"><div class="userContentWrapper _5pcr _3ccb" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div><h5 class="_1qbu _5pbw" data-ft="{"tn":"C"}" id="js_89"><div class="fwn fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/swati.mehrotra.39" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=100001006883430">Swati Mehrotra</a></span> was tagged in <a class="profileLink" href="https://www.facebook.com/TheTickleTroll?ref=stream" data-ft="{"tn":"k"}" data-hovercard="/ajax/hovercard/page.php?id=147670868677714">LOLComics - The Tickle Troll</a>'s <a class="profileLink" href="https://www.facebook.com/TheTickleTroll/photos/a.162355227209278.31589.147670868677714/602333113211485/?type=1" data-ft="{"tn":"E"}">photo</a>.</span></div></h5></div><div class="userContent"></div><div><div><div class="userContentWrapper _5pcr _5pbu _5mxv _3ccb" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div 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_29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_90"><div class="fwn fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/TheTickleTroll?ref=stream" data-ft="{"tn":"k"}" data-hovercard="/ajax/hovercard/page.php?id=147670868677714">LOLComics - The Tickle Troll</a></span> with <a class="profileLink" href="https://www.facebook.com/swati.mehrotra.39" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=100001006883430">Swati Mehrotra</a> and <a data-hover="tooltip" aria-label="Kitza Rodriguez
Shubham Anchal
Sos Naulak
Milan Limbu
Taara Renaa
Kirankumar Yengkhom
Shraddha Sengupta
Diwakar Dachepalli
Atul Frank II
Deepak Kumar
Destiny Galati
Jainish Mistry
Dipen Prajapati
TeeRth Patel
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Pratap Yadav
Akshay Singh
Yash Soni
Austin Gregory
Ankit Chauhan" data-tooltip-position="below" href="https://www.facebook.com/#" ajaxify="/ajax/browser/dialog/participants/?q=AeJ4k9xRGxWi-5qf6h_CCcfzkbRLId5FsRsn2iG7FIGSRCzYPZ1onB0UNYkKF0FRFFG0ony1VJCziWUNTQi9yL_rr_w5ypgox0LBox2sp4jHBsYNvzb8flBQ02YnfSi7SeDFXs4K65URzLo033uXTlBzUgq0JY9ozJWMYLo8ZqnN9zKJJ2UKt9nbqmcC6ZJiwxurDOzxvz3KorS0G6bI9Z-LGJMOveUJsskO-BxHtHrJnV4Rf7z36j0nmX6jOLmMI64YfZV-LTnia0S6DK72-aOu3NMok3HrPMkvq4WbO4gqXXguevSL1DBRZA00_FRI4lxjPpFK_LWY_fG0Hwk-45zyPFqksi3Ep1qmA93PYUpvlXlEa-ZJF_QCiGYSaie7InaghwgBqlZGF_p6vVqmslcBCcUjdi3RlAxMiuVh1mDZrFYmCPyy_sRpV8nOmJeFTlAOD9jpfJSDNilU5kVtPCQBqQo6QoO1BS1E3LDB-Mpl4Q" rel="dialog" data-ft="{"tn":"l"}" role="button">20 others</a></span></div></h6><div class="_5pcp" id="js_91"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/TheTickleTroll/photos/a.162355227209278.31589.147670868677714/602333113211485/?type=1" rel="theater" 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data-reactid=".6c.1:3:1:$comment602333113211485_602648406513289:0.0.$right.0.$left.0.3.$likeCount:0:$action:0.1">2</span></a><span data-reactid=".6c.1:3:1:$comment602333113211485_602648406513289:0.0.$right.0.$left.0.3.$metadata:0:$MIDDOT:0"> · </span><span data-reactid=".6c.1:3:1:$comment602333113211485_602648406513289:0.0.$right.0.$left.0.3.$metadata:0:$action:0"><a class="uiLinkSubtle" href="https://www.facebook.com/TheTickleTroll/photos/a.162355227209278.31589.147670868677714/602333113211485/?type=1&comment_id=602648406513289&offset=0&total_comments=172" data-ft="{"tn":"N"}" data-reactid=".6c.1:3:1:$comment602333113211485_602648406513289:0.0.$right.0.$left.0.3.$metadata:0:$action:0.$timestamp-message"><abbr class="livetimestamp" title="Sunday, July 27, 2014 at 8:37pm" data-utime="1406473658" data-shorten="true" data-reactid=".6c.1:3:1:$comment602333113211485_602648406513289:0.0.$right.0.$left.0.3.$metadata:0:$action:0.$timestamp-message.0">5 hrs</abbr></a></span></div><a 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data-reactid=".6c.1:3:$bottomPager.0.$right.0.$left"><a class="UFIPagerLink" href="https://www.facebook.com/#" role="button" data-reactid=".6c.1:3:$bottomPager.0.$right.0.$left.0"><span data-reactid=".6c.1:3:$bottomPager.0.$right.0.$left.0.0">View more comments</span></a></div></div></div></div></li></ul></div></form></div></div></div></div></div></div><div class="_4-u2 mbm _5jmm _5pat _5v3q _5x16" data-ft="{"qid":"6040833772564963057","mf_story_key":"2016707879739417463","fbfeed_location":1,"insertion_position":15}" data-cursor="MTQwNjQ5MDExMzoxNDA2NDkwMTEzOjE6MjAxNjcwNzg3OTczOTQxNzQ2MzoxNDA2NDg5OTg2OjA=" data-dedupekey="2016707879739417463" data-timestamp="1406489986" id="u_jsonp_6_4" data-insertion-position="15"><div class="userContentWrapper _5pcr _3ccb" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_6_5" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" 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href="https://www.facebook.com/photo.php?fbid=10152558563797247&set=a.486865402246.278475.634847246&type=1" rel="theater" ajaxify="https://www.facebook.com/photo.php?fbid=10152558563797247&set=a.486865402246.278475.634847246&type=1&src=https%3A%2F%2Ffbcdn-sphotos-c-a.akamaihd.net%2Fhphotos-ak-xap1%2Ft31.0-8%2F10498641_10152558563797247_487558822477919704_o.jpg&smallsrc=https%3A%2F%2Ffbcdn-sphotos-c-a.akamaihd.net%2Fhphotos-ak-xap1%2Ft31.0-8%2Fs960x960%2F10498641_10152558563797247_487558822477919704_o.jpg&size=1365%2C2048&source=12&player_origin=newsfeed"><abbr title="Monday, July 28, 2014 at 1:09am" data-utime="1406489986" data-shorten="1" class="_5ptz timestamp livetimestamp">1 hr</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_6_s" aria-label="Shared with: Public"><i class="lock img sp_xFwBv1W8Ynk 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height="395"></div></a></div></div></div><div><form rel="async" class="live_10152558563797247_316526391751760 commentable_item autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_6_i" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQEyGbQa5Wgu" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"634847246","target_fbid":"10152558563797247","target_profile_id":"634847246","type_id":"7","assoc_obj_id":"","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406489985","check_hash":"AQD42GAm26baO-ws","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp _5vsi"><span><span 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aria-label="Like this" data-reactid=".66.1:0.0.$left.0"><i class="UFILikeIcon" data-reactid=".66.1:0.0.$left.0.0"></i></a></div><div class="" data-reactid=".66.1:0.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".66.1:0.0.$right.0"><div class="UFILikeSentenceText" data-reactid=".66.1:0.0.$right.0.0"><span data-reactid=".66.1:0.0.$right.0.0.0"><a class="profileLink" dir="ltr" href="https://www.facebook.com/profile.php?id=100001255413937" data-hovercard="/ajax/hovercard/hovercard.php?id=100001255413937&extragetparams=%7B%22hc_location%22%3A%22ufi%22%7D" data-reactid=".66.1:0.0.$right.0.0.0.$range0:0">Rao Kapil</a><span data-reactid=".66.1:0.0.$right.0.0.0.$end:0:$0:0"> likes this.</span></span></div></div></div></div></li><li class="UFIRow UFIComponent UFIAddComment UFIAddCommentWithPhotoAttacher UFILastComponent" data-ft="{"tn":"["}" data-reactid=".66.1:4"><div class="UFIMentionsInputWrap clearfix" data-reactid=".66.1:4.0"><div class="_ohe lfloat" data-reactid=".66.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".66.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur Kumar" data-reactid=".66.1:4.0.$left.0.0"></div></div><div class="" data-reactid=".66.1:4.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".66.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".66.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".66.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".66.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".66.1:4.0.$right.0.0.0.0.0"><div data-reactid=".66.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" data-reactid=".66.1:4.0.$right.0.0.0.0.0.0.0"></span></div></div><div class="uiTypeahead mentionsTypeahead" data-reactid=".66.1:4.0.$right.0.0.0.0.1"><div class="wrap" data-reactid=".66.1:4.0.$right.0.0.0.0.1.0"><input type="hidden" autocomplete="off" class="hiddenInput" data-reactid=".66.1:4.0.$right.0.0.0.0.1.0.0"><div class="innerWrap" data-reactid=".66.1:4.0.$right.0.0.0.0.1.0.1"><textarea name="add_comment_text" class="textInput mentionsTextarea uiTextareaAutogrow uiTextareaNoResize UFIAddCommentInput DOMControl_placeholder" title="Write a comment..." placeholder="Write a comment..." data-reactid=".66.1:4.0.$right.0.0.0.0.1.0.1.0">Write a comment...</textarea></div></div></div><input type="hidden" autocomplete="off" class="mentionsHidden" value="" data-reactid=".66.1:4.0.$right.0.0.0.0.2"></div><div class="UFICommentAttachmentButtons clearfix" data-reactid=".66.1:4.0.$right.0.0.0.1"><div class="UFIPhotoAttachLinkWrapper _m" data-hover="tooltip" data-tooltip-alignh="center" aria-label="Attach a Photo" data-reactid=".66.1:4.0.$right.0.0.0.1.0"><i class="UFICommentPhotoIcon" data-reactid=".66.1:4.0.$right.0.0.0.1.0.0"><input type="file" accept="image/*" class="_n" name="file" title="Choose a file to upload" aria-label="Choose a file to upload"></i></div></div></div></div></div></div></div></li></ul></div></form></div></div></div></div></div><div class="_4ikz" id="substream_1_53d55a4fea8e10e50864815" data-referrer="substream_1_53d55a4fea8e10e50864815"><div class=""><div class="_4-u2 mbm _5jmm _5pat _5v3q _5x16" data-ft="{"qid":"6040833772564963057","mf_story_key":"-8518595256766284477","fbfeed_location":1,"insertion_position":16}" data-cursor="MTQwNjQ5MDExMzoxNDA2NDkwMTEzOjI6LTg1MTg1OTUyNTY3NjYyODQ0Nzc6MTQwNjQ4OTc5Njow" data-dedupekey="-8518595256766284477" data-timestamp="1406489796" id="u_jsonp_6_w" aria-labelledby="js_93 js_94 js_95 js_96" data-insertion-position="16"><div class="userContentWrapper _5pcr _3ccb" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div><h5 class="_1qbu _5pbw" data-ft="{"tn":"C"}" id="js_93"><div class="fwn fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/puja.sharma.1044" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=100000043307961">Pooja Khan</a></span> was tagged in a <a class="profileLink" href="https://www.facebook.com/photo.php?fbid=941627289198439&set=a.185711081456734.48679.100000535302055&type=1" data-ft="{"tn":"E"}">post</a>.</span></div></h5></div><div class="userContent"></div><div><div><div class="userContentWrapper _5pcr _5pbu _5mxv _3ccb" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_6_x" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_6_1b"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/osama.khan.315865?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=100000535302055"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/10547515_935089553185546_5305019595542157735_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_94"><div class="fwn fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/osama.khan.315865" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=100000535302055">Osama Khan</a></span> with <a class="profileLink" href="https://www.facebook.com/puja.sharma.1044" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=100000043307961">Pooja Khan</a></span></div></h6><div class="_5pcp" id="js_95"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/photo.php?fbid=941627289198439&set=a.185711081456734.48679.100000535302055&type=1" rel="theater" ajaxify="https://www.facebook.com/photo.php?fbid=941627289198439&set=a.185711081456734.48679.100000535302055&type=1&src=https%3A%2F%2Ffbcdn-sphotos-g-a.akamaihd.net%2Fhphotos-ak-xaf1%2Ft1.0-9%2F10494608_941627289198439_8921514735702639328_n.jpg&size=234%2C215&source=12&player_origin=newsfeed"><abbr title="Monday, July 28, 2014 at 1:04am" data-utime="1406489655" data-shorten="1" class="_5ptz timestamp livetimestamp">1 hr</abbr></a> · <a class="_5pcq" href="https://www.facebook.com/pages/Doha/111612325521963" data-hovercard="/ajax/hovercard/page.php?id=111612325521963">Doha, Qatar</a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_6_23" aria-label="Shared with: Osama's friends and Pooja's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}" id="js_96"><p>EID Mubarak to all my family & friends!</p></div><div><div data-ft="{"tn":"H"}"><div class="_5cq3 mtm" data-ft="{"tn":"E"}"><a class="_4-eo" href="https://www.facebook.com/photo.php?fbid=941627289198439&set=a.185711081456734.48679.100000535302055&type=1" rel="theater" ajaxify="https://www.facebook.com/photo.php?fbid=941627289198439&set=a.185711081456734.48679.100000535302055&type=1&src=https%3A%2F%2Ffbcdn-sphotos-g-a.akamaihd.net%2Fhphotos-ak-xaf1%2Ft1.0-9%2F10494608_941627289198439_8921514735702639328_n.jpg&size=234%2C215&player_origin=newsfeed" style="width:234px;"><div class="uiScaledImageContainer _4-ep" style="width:234px;height:215px;" id="u_jsonp_6_17"><img class="scaledImageFitWidth img" src="./ui_files/10494608_941627289198439_8921514735702639328_n.jpg" alt="EID Mubarak to all my family & friends!" width="234" height="215"></div></a></div></div></div><div><form rel="async" class="live_941627289198439_316526391751760 commentable_item autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_6_1p" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQEyGbQa5Wgu" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"100000535302055","target_fbid":"941627289198439","target_profile_id":"100000535302055","type_id":"7","assoc_obj_id":"","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406489795","check_hash":"AQBzjE85UP2E0w-l","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp _5vsi"><span><span data-reactid=".6m"><a class="UFILikeLink accessible_elem" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-reactid=".6m.0">Like</a><a class="UFILikeLink" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-ft="{"tn":">"}" data-reactid=".6m.1">Like</a></span></span> · <label class="uiLinkButton comment_link" title="Leave a comment"><input class="uiLinkButtonInput" data-ft="{"type":24,"tn":"S"}" type="button" value="Comment" onclick="return fc_click(this);"></label> · <span><a class="share_action_link" data-ft="{ "tn": "J", "type": 25 }" href="https://www.facebook.com/ajax/sharer/?s=2&appid=2305272732&p[0]=100000535302055&p[1]=1073741853&share_source_type=unknown&__av=100000590753545" rel="dialog" title="Send this to friends or post it on your timeline." data-reactid=".6n">Share</a></span></div></div></div><div class="uiUfi UFIContainer _5pc9 _5vsj _5v9k" id="u_jsonp_6_1z"><ul class="UFIList" data-reactid=".6o"><li class="UFIRow UFILikeSentence UFIFirstComponent" data-reactid=".6o.1:0"><div class="clearfix" data-reactid=".6o.1:0.0"><div class="_ohe lfloat" data-reactid=".6o.1:0.0.$left"><a class="img _8o _8r UFIImageBlockImage UFILikeThumb" href="https://www.facebook.com/#" tabindex="-1" title="Like this" role="button" aria-label="Like this" data-reactid=".6o.1:0.0.$left.0"><i class="UFILikeIcon" data-reactid=".6o.1:0.0.$left.0.0"></i></a></div><div class="" data-reactid=".6o.1:0.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".6o.1:0.0.$right.0"><div class="UFILikeSentenceText" data-reactid=".6o.1:0.0.$right.0.0"><span data-reactid=".6o.1:0.0.$right.0.0.0"><a class="profileLink" dir="ltr" href="https://www.facebook.com/puja.sharma.1044" data-hovercard="/ajax/hovercard/hovercard.php?id=100000043307961&extragetparams=%7B%22hc_location%22%3A%22ufi%22%7D" data-reactid=".6o.1:0.0.$right.0.0.0.$range0:0">Pooja Khan</a><span data-reactid=".6o.1:0.0.$right.0.0.0.$text1:0:$0:0"> and </span><a rel="dialog" ajaxify="/ajax/browser/dialog/likes?id=941627289198439&actorid=100000535302055" href="https://www.facebook.com/browse/likes?id=941627289198439&actorid=100000535302055" data-hover="tooltip" data-tooltip-alignh="center" data-tooltip-uri="/ajax/like/tooltip.php?comment_fbid=941627289198439&comment_from=100000590753545&seen_user_fbids[0]=100000043307961&__av=100000590753545" role="button" data-reactid=".6o.1:0.0.$right.0.0.0.$range1:0">2 others</a><span data-reactid=".6o.1:0.0.$right.0.0.0.$end:0:$0:0"> like this.</span></span></div></div></div></div></li><li class="UFIRow UFIComponent UFIAddComment UFIAddCommentWithPhotoAttacher UFILastComponent" data-ft="{"tn":"["}" data-reactid=".6o.1:4"><div class="UFIMentionsInputWrap clearfix" data-reactid=".6o.1:4.0"><div class="_ohe lfloat" data-reactid=".6o.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".6o.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur Kumar" data-reactid=".6o.1:4.0.$left.0.0"></div></div><div class="" data-reactid=".6o.1:4.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".6o.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".6o.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".6o.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".6o.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".6o.1:4.0.$right.0.0.0.0.0"><div data-reactid=".6o.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" data-reactid=".6o.1:4.0.$right.0.0.0.0.0.0.0"></span></div></div><div class="uiTypeahead mentionsTypeahead" data-reactid=".6o.1:4.0.$right.0.0.0.0.1"><div class="wrap" data-reactid=".6o.1:4.0.$right.0.0.0.0.1.0"><input type="hidden" autocomplete="off" class="hiddenInput" data-reactid=".6o.1:4.0.$right.0.0.0.0.1.0.0"><div class="innerWrap" data-reactid=".6o.1:4.0.$right.0.0.0.0.1.0.1"><textarea name="add_comment_text" class="textInput mentionsTextarea uiTextareaAutogrow uiTextareaNoResize UFIAddCommentInput DOMControl_placeholder" title="Write a comment..." placeholder="Write a comment..." data-reactid=".6o.1:4.0.$right.0.0.0.0.1.0.1.0">Write a comment...</textarea></div></div></div><input type="hidden" autocomplete="off" class="mentionsHidden" value="" data-reactid=".6o.1:4.0.$right.0.0.0.0.2"></div><div class="UFICommentAttachmentButtons clearfix" data-reactid=".6o.1:4.0.$right.0.0.0.1"><div class="UFIPhotoAttachLinkWrapper _m" data-hover="tooltip" data-tooltip-alignh="center" aria-label="Attach a Photo" data-reactid=".6o.1:4.0.$right.0.0.0.1.0"><i class="UFICommentPhotoIcon" data-reactid=".6o.1:4.0.$right.0.0.0.1.0.0"><input type="file" accept="image/*" class="_n" name="file" title="Choose a file to upload" aria-label="Choose a file to upload"></i></div></div></div></div></div></div></div></li></ul></div></form></div></div></div></div></div></div><div class="_4-u2 mbm _5jmm _5pat _5v3q _5x16 _x72" data-ft="{"qid":"6040833772564963057","mf_story_key":"-8085334195100944490","fbfeed_location":1,"insertion_position":17}" data-cursor="MTQwNjQ4OTQyOToxNDA2NDg5NDI5OjE6LTgwODUzMzQxOTUxMDA5NDQ0OTA6MTQwNjQ4OTEyNzow" data-dedupekey="-8085334195100944490" data-timestamp="1406489127" id="u_jsonp_6_y" aria-labelledby="js_97 js_98 js_99" data-insertion-position="17"><div class="userContentWrapper _5pcr _3ccb" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_6_z" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_6_1j"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/n.saigoutham?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=1417670739"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/404260_2377516963492_1335824258_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h5 class="_5pbw" data-ft="{"tn":"C"}" id="js_97"><div class="fwn fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/n.saigoutham" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=1417670739">Sai Goutham Nagarapu</a></span> shared <a class="profileLink" href="https://www.facebook.com/iimacultcomm" data-ft="{"tn":"k"}" data-hovercard="/ajax/hovercard/page.php?id=286239768110912">IIMA Cultural Committee</a>'s <a class="profileLink" href="https://www.facebook.com/iimacultcomm/photos/a.658720997529452.1073741853.286239768110912/658721010862784/?type=1" data-ft="{"tn":"E"}">photo</a>.</span></div></h5><div class="_5pcp" id="js_98"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/n.saigoutham/posts/10202339513075346"><abbr title="Monday, July 28, 2014 at 12:55am" data-utime="1406489127" data-shorten="1" class="_5ptz timestamp livetimestamp">1 hr</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_6_24" aria-label="Shared with: Public"><i class="lock img sp_xFwBv1W8Ynk sx_07a954"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}" id="js_99"><p>Friends. Please open this pic and like it.</p></div><div><div><div class="_5r69"><div class="mtm"><div data-ft="{"tn":"H"}"><div class="_5cq3 mtm" data-ft="{"tn":"E"}"><a class="_4-eo" href="https://www.facebook.com/iimacultcomm/photos/a.658720997529452.1073741853.286239768110912/658721010862784/?type=1" rel="theater" ajaxify="https://www.facebook.com/iimacultcomm/photos/a.658720997529452.1073741853.286239768110912/658721010862784/?type=1&src=https%3A%2F%2Ffbcdn-sphotos-c-a.akamaihd.net%2Fhphotos-ak-xaf1%2Ft1.0-9%2F1888532_658721010862784_7461861882730800784_n.jpg&size=679%2C960&fbid=658721010862784&player_origin=newsfeed" style="width:278px;"><div class="_46-h _4-ep" style="width:278px;height:394px;" id="u_jsonp_6_19"><img class="_46-i img" src="./ui_files/1888532_658721010862784_7461861882730800784_n.jpg" style="left:0px; top:0px;" alt="Section E" width="279" height="395"></div></a></div></div><div class="mtm plm _5pcm"><div class="mbs fwn fcg" data-ft="{"tn":"C"}"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/iimacultcomm" data-ft="{"tn":"k"}" data-hovercard="/ajax/hovercard/page.php?id=286239768110912">IIMA Cultural Committee</a></span> with <a class="profileLink" href="https://www.facebook.com/yashsheelsrivastava" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=571910321">Yash Sheel Srivastava</a> and <a data-hover="tooltip" aria-label="Shaik Shabeena
Abhiram Thejus
Sujit Madhukar
Swati Tiwary
Suruchi Mundhra
Veeravilli Swathi
Ribhu Ranjan Saha
Utkarsh Garg
Rilu Debashis
Anurag Agrawal
Anurag Gupta
Haaris Mateen
Payal Rungta
Nitisha Tomar
Ankita Sharma
Nitesh Tigga
Danny Sagar
Tarun Varma Landa
Smit Chandra
Ishan Jain
Deepesh Agrawal" data-tooltip-position="below" href="https://www.facebook.com/#" ajaxify="/ajax/browser/dialog/participants/?q=AeLJ_MEn9Gh-SGhxArpAZKoMFbKPbp8ETNNM2u9bEudgQL-4qwBl4pW33fXqf_1YgRV2fYjq3-2S7iFPd26QlJiGmCTbOmfOg3XnDwc_1tb0NfvrSCAFLSVZrz6YIdFfK_kmbz9AUy3IJRW-DAZ-xBeRUmKspOb92sVjZLj5ZXWdOOo0Czl7FVBln4gJOj3bu3bT0VkqIRTWPd9uMAP8uB7M6uPDP7LC8pOEu5iuaRnamEHypNV2nWbBGOp0mEBfz6am4176lBkWVTDur_l94V1tti2EXDWMEX-qguRWxoyUAIf4b1YAs_9ka2aT0vq6OGZbToFOQVVGngQ8f2qKEVxxgfGTKXwedJ3coPcZA3vwysbzLfgpY5OvzufaOUfP2MDUaeIKZh7rDWhD2mAR8b5X8OGlC7FOeI9VhO9qVcGUJw" rel="dialog" data-ft="{"tn":"l"}" role="button">21 others</a></span></div><div class="mtm _5pco" data-ft="{"tn":"K"}"><p>Section E</p></div></div></div></div></div></div><div><form rel="async" class="live_10202339513075346_316526391751760 commentable_item autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_6_1q" onsubmit="return window.Event && 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data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=100001689681705" onmousedown="this.href = this.href.replace('__md__=0', '__md__=1');">Gautam Jha</a></span> and <a data-hover="tooltip" aria-label="Gautam Kumar
Ashish Khare" data-tooltip-position="below" href="https://www.facebook.com/#" ajaxify="/ajax/browser/dialog/participants/?q=AeKOOIMu2giU8OnNlKKJGCdkuC387InAG9X6bwLcvkCIzRlSDP1wO6YwrLk3ub6lHwREkkLNOxqxoJ-uosw30hHNyfxsOVqA3RRfRIIYz-Vw5g" rel="dialog" data-ft="{"tn":"l"}" role="button">2 other friends</a> like <a class="profileLink" 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data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.0.$author.0" onmousedown="this.href = this.href.replace('__md__=0', '__md__=1');">Saurabh Kathuria</a></span><span data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Fraud... I placed an order and they sent it to someone else...and no one is listening to this... Fraud Fraud... DONT BUY ANYTHING FROM THIS WEBSITE...</span></span></span><span data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.3"><a class="UFILikeLink" data-ft="{"tn":">"}" href="https://www.facebook.com/#" role="button" title="Like this comment" data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.3.$likeToggle:0">Like</a><span data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.3.$commentReply:0:$MIDDOT:0"> · </span><a class="UFIReplyLink" href="https://www.facebook.com/#" data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.3.$commentReply:0:$action:0">Reply</a><span data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.3.$metadata:0:$MIDDOT:0"> · </span><span 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data-ft="{"tn":"F"}">video</a>.</span></div></h5><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/abhimanyusangwan/posts/10152140848596853"><abbr title="Monday, July 28, 2014 at 12:58am" data-utime="1406489284" data-shorten="1" class="_5ptz timestamp livetimestamp">1 hr</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_1g" aria-label="Shared with: Abhimanyu's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="userContent"></div><div><div><div class="_5r69"><div class="mtm"><div data-ft="{"tn":"H"}"><div class="_6n_ mtm" style="width:240px;" data-ft="{"tn":"F"}"><a href="https://www.facebook.com/photo.php?v=944982042195170&fref=nf" rel="theater" ajaxify="https://www.facebook.com/photo.php?v=944982042195170&fref=nf&player_origin=newsfeed"><div class="uiScaledImageContainer _57tt" style="width:240px;height:320px;"><img class="scaledImageFitWidth img" src="./ui_files/10502834_944982168861824_944982042195170_12642_1610_b.jpg" alt="" width="240" height="320"></div><i class="_6o1"></i><div class="_5b_0 _5bgz"><div class="_578n fsm fwb">00:59</div></div></a></div></div><div class="mtm plm _5pcm"><div class="mbs fwn fcg" data-ft="{"tn":"C"}"><div class="_5pcn fwb" data-ft="{"tn":";"}"><a href="https://www.facebook.com/photo.php?v=944982042195170&fref=nf">Paramjyot Singh</a></div></div><div class="mtm _5pco" data-ft="{"tn":"K"}"><p>It happen only in India.......</p></div></div></div></div></div></div><div><form rel="async" class="live_10152140848596853_316526391751760 commentable_item autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_8_q" 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data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.0.$author.0" onmousedown="this.href = this.href.replace('__md__=0', '__md__=1');">Susan Power Lundy</a></span><span data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">My son really wants to do this. Can it be done in Ireland</span></span></span><span data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.3"><a class="UFILikeLink" data-ft="{"tn":">"}" href="https://www.facebook.com/#" role="button" title="Like this comment" data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.3.$likeToggle:0">Like</a><span data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.3.$commentReply:0:$MIDDOT:0"> · </span><a class="UFIReplyLink" href="https://www.facebook.com/#" data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.3.$commentReply:0:$action:0">Reply</a><span data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.3.$likeCount:0:$MIDDOT:0"> · </span><a 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rel="dialog" data-ft="{"tn":"l"}" role="button">53 others</a> wrote on <a class="profileLink" href="https://www.facebook.com/manisha.priyadarshini" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=1692984794">Manisha Priyadarshini</a>'s timeline.</span></div></h5><div class="clearfix mvm"><a class="_8o _8t lfloat _ohe" href="https://www.facebook.com/manisha.priyadarshini" tabindex="-1" aria-hidden="true" data-hovercard="/ajax/hovercard/user.php?id=1692984794"><div class="uiScaledImageContainer" style="width: 90px; height: 90px"><img class="scaledImageFitWidth img" src="./ui_files/10314664_4221515031468_8844065718057350813_n.jpg" alt="" width="90" height="90"></div></a><div class="_42ef"><div class="mbs fwb"><a href="https://www.facebook.com/manisha.priyadarshini" data-hovercard="/ajax/hovercard/user.php?id=1692984794">Manisha Priyadarshini</a></div><div class="mbs fcg">Birthday: Yesterday</div><ul class="uiList _4kg _6-h _704 _6-i"><li><div class="fsm fwn fcg">You wrote on Manisha's timeline.</div></li></ul></div></div><div class="stat_elem"><ul class="uiList uiCollapsedList uiCollapsedListHidden _5pbz _5va0 _4kg" id="u_jsonp_8_c"><li><div class="userContentWrapper _5pcr mbs _5v9_ _5va1 _3ccb" data-dedup="S:_I537165995:10152632403365996" id="u_jsonp_8_7" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_8_i" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_8_s"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/hjhazarika?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=537165995"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/10505425_10152557839315996_7475969937511343698_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_112"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/hjhazarika?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=537165995&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Himangshu Jyoti Hazarika</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/manisha.priyadarshini?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1692984794&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Manisha Priyadarshini</a></span></div></h6><div class="_5pcp" id="js_116"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/manisha.priyadarshini/posts/4444972937776"><abbr title="Sunday, July 27, 2014 at 9:49pm" data-utime="1406477961" data-shorten="1" class="_5ptz timestamp livetimestamp">4 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_1i" aria-label="Shared with: Manisha's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}" id="js_117"><p>happy birthday academician</p></div><div></div><div><form rel="async" class="live_4444972937776_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_8_11" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQG-VgRoE_a0" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" 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_5v9_ _5va1 _3ccb" data-dedup="S:_I537061404:10152525763211405" id="u_jsonp_8_8" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_8_j" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_8_u"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/raman.abhishek?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=537061404"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/223491_10150228236276405_5625319_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_113"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/raman.abhishek?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=537061404&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Abhishek Raman</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/manisha.priyadarshini?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1692984794&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Manisha Priyadarshini</a></span></div></h6><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/manisha.priyadarshini/posts/4444260719971"><abbr title="Sunday, July 27, 2014 at 3:04pm" data-utime="1406453698" data-shorten="1" class="_5ptz timestamp livetimestamp">11 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_1j" aria-label="Shared with: Manisha's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}"><p>Happy b'day</p></div><div></div><div><form rel="async" class="live_4444260719971_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_8_12" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQG-VgRoE_a0" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"537061404","target_fbid":"4444260719971","target_profile_id":"1692984794","type_id":"100","assoc_obj_id":"","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406453698","check_hash":"AQAv9AILdip_Y0dR","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp _5vsi"><span><span data-reactid=".82"><a class="UFILikeLink accessible_elem" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-reactid=".82.0">Like</a><a class="UFILikeLink" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-ft="{"tn":">"}" data-reactid=".82.1">Like</a></span></span> · <label class="uiLinkButton comment_link" title="Leave a comment"><input class="uiLinkButtonInput" data-ft="{"type":24,"tn":"S"}" type="button" value="Comment" onclick="return fc_click(this);"></label> · <span><a class="share_action_link" data-ft="{ "tn": "J", "type": 25 }" href="https://www.facebook.com/ajax/sharer/?s=65&appid=2719290516&p[0]=537061404&p[1]=4444260719971&share_source_type=unknown&__av=100000590753545" rel="dialog" title="Send this to friends or post it on your timeline." data-reactid=".83">Share</a></span></div></div></div><div class="uiUfi UFIContainer _5pc9 _5vsj _5v9k" id="u_jsonp_8_18"><ul class="UFIList" data-reactid=".84"><li class="UFIRow UFIComponent UFIAddComment UFIAddCommentWithPhotoAttacher UFIFirstComponent UFILastComponent" data-ft="{"tn":"["}" data-reactid=".84.1:4"><div class="UFIMentionsInputWrap clearfix" data-reactid=".84.1:4.0"><div class="_ohe lfloat" data-reactid=".84.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".84.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur Kumar" data-reactid=".84.1:4.0.$left.0.0"></div></div><div class="" data-reactid=".84.1:4.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".84.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".84.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".84.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".84.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".84.1:4.0.$right.0.0.0.0.0"><div data-reactid=".84.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" data-reactid=".84.1:4.0.$right.0.0.0.0.0.0.0"></span></div></div><div class="uiTypeahead mentionsTypeahead" data-reactid=".84.1:4.0.$right.0.0.0.0.1"><div class="wrap" data-reactid=".84.1:4.0.$right.0.0.0.0.1.0"><input type="hidden" autocomplete="off" class="hiddenInput" data-reactid=".84.1:4.0.$right.0.0.0.0.1.0.0"><div class="innerWrap" data-reactid=".84.1:4.0.$right.0.0.0.0.1.0.1"><textarea name="add_comment_text" class="textInput mentionsTextarea uiTextareaAutogrow uiTextareaNoResize UFIAddCommentInput DOMControl_placeholder" title="Write a comment..." placeholder="Write a comment..." data-reactid=".84.1:4.0.$right.0.0.0.0.1.0.1.0">Write a comment...</textarea></div></div></div><input type="hidden" autocomplete="off" class="mentionsHidden" value="" data-reactid=".84.1:4.0.$right.0.0.0.0.2"></div><div class="UFICommentAttachmentButtons clearfix" data-reactid=".84.1:4.0.$right.0.0.0.1"><div class="UFIPhotoAttachLinkWrapper _m" data-hover="tooltip" data-tooltip-alignh="center" aria-label="Attach a Photo" data-reactid=".84.1:4.0.$right.0.0.0.1.0"><i class="UFICommentPhotoIcon" data-reactid=".84.1:4.0.$right.0.0.0.1.0.0"><input type="file" accept="image/*" class="_n" name="file" title="Choose a file to upload" aria-label="Choose a file to upload"></i></div></div></div></div></div></div></div></li></ul></div></form></div></div></li><li class="hiddenItem"><div class="userContentWrapper _5pcr mvs _5v9_ _5va1 _3ccb" data-dedup="S:_I100000590753545:875284419167908" id="u_jsonp_8_9" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_8_k" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_8_w"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/mayur.kumar.77?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=100000590753545"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/10492488_855847354444948_8753844995165142862_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_114"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/mayur.kumar.77?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=100000590753545&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Mayur Kumar</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/manisha.priyadarshini?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1692984794&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Manisha Priyadarshini</a></span></div></h6><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/manisha.priyadarshini/posts/4443962032504"><abbr title="Sunday, July 27, 2014 at 10:54am" data-utime="1406438647" data-shorten="1" class="_5ptz timestamp livetimestamp">15 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_1k" aria-label="Shared with: Manisha's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}"><p>Happy B'dy Manisha.. Have an awesome one... <i class="_4-k1 img sp_F6Afu2XGiZY sx_a8bc3e"></i></p></div><div></div><div><form rel="async" class="live_4443962032504_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_8_13" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQG-VgRoE_a0" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"100000590753545","target_fbid":"4443962032504","target_profile_id":"1692984794","type_id":"100","assoc_obj_id":"","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406438647","check_hash":"AQCoprZJwJ6-u5tS","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp _5vsi"><span><span data-reactid=".85"><a class="UFILikeLink accessible_elem" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-reactid=".85.0">Like</a><a class="UFILikeLink" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-ft="{"tn":">"}" data-reactid=".85.1">Like</a></span></span> · <label class="uiLinkButton comment_link" title="Leave a comment"><input class="uiLinkButtonInput" data-ft="{"type":24,"tn":"S"}" type="button" value="Comment" onclick="return fc_click(this);"></label> · <span><a class="share_action_link" data-ft="{ "tn": "J", "type": 25 }" href="https://www.facebook.com/ajax/sharer/?s=65&appid=2719290516&p[0]=100000590753545&p[1]=4443962032504&share_source_type=unknown&__av=100000590753545" rel="dialog" title="Send this to friends or post it on your timeline." data-reactid=".86">Share</a></span></div></div></div><div class="uiUfi UFIContainer _5pc9 _5vsj _5v9k" id="u_jsonp_8_1a"><ul class="UFIList" data-reactid=".87"><li class="UFIRow UFIComponent UFIAddComment UFIAddCommentWithPhotoAttacher UFIFirstComponent UFILastComponent" data-ft="{"tn":"["}" data-reactid=".87.1:4"><div class="UFIMentionsInputWrap clearfix" data-reactid=".87.1:4.0"><div class="_ohe lfloat" data-reactid=".87.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".87.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur Kumar" data-reactid=".87.1:4.0.$left.0.0"></div></div><div class="" data-reactid=".87.1:4.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".87.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".87.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".87.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".87.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".87.1:4.0.$right.0.0.0.0.0"><div data-reactid=".87.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" data-reactid=".87.1:4.0.$right.0.0.0.0.0.0.0"></span></div></div><div class="uiTypeahead mentionsTypeahead" data-reactid=".87.1:4.0.$right.0.0.0.0.1"><div class="wrap" data-reactid=".87.1:4.0.$right.0.0.0.0.1.0"><input type="hidden" autocomplete="off" class="hiddenInput" data-reactid=".87.1:4.0.$right.0.0.0.0.1.0.0"><div class="innerWrap" data-reactid=".87.1:4.0.$right.0.0.0.0.1.0.1"><textarea name="add_comment_text" class="textInput mentionsTextarea uiTextareaAutogrow uiTextareaNoResize UFIAddCommentInput DOMControl_placeholder" title="Write a comment..." placeholder="Write a comment..." data-reactid=".87.1:4.0.$right.0.0.0.0.1.0.1.0">Write a comment...</textarea></div></div></div><input type="hidden" autocomplete="off" class="mentionsHidden" value="" data-reactid=".87.1:4.0.$right.0.0.0.0.2"></div><div class="UFICommentAttachmentButtons clearfix" data-reactid=".87.1:4.0.$right.0.0.0.1"><div class="UFIPhotoAttachLinkWrapper _m" data-hover="tooltip" data-tooltip-alignh="center" aria-label="Attach a Photo" data-reactid=".87.1:4.0.$right.0.0.0.1.0"><i class="UFICommentPhotoIcon" data-reactid=".87.1:4.0.$right.0.0.0.1.0.0"><input type="file" accept="image/*" class="_n" name="file" title="Choose a file to upload" aria-label="Choose a file to upload"></i></div></div></div></div></div></div></div></li></ul></div></form></div></div></li><li class="hiddenItem"><div class="userContentWrapper _5pcr mvs _5v9_ _5va1 _3ccb" data-dedup="S:_I1552372869:10202398897484409" id="u_jsonp_8_a" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_8_l" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_8_y"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/umang.sethi.1?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=1552372869"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/39499_1381361304713_3971487_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_115"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/umang.sethi.1?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1552372869&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Umang Sethi</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/manisha.priyadarshini?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1692984794&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Manisha Priyadarshini</a></span></div></h6><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/manisha.priyadarshini/posts/4445359627443"><abbr title="Monday, July 28, 2014 at 12:52am" data-utime="1406488928" data-shorten="1" class="_5ptz timestamp livetimestamp">1 hr</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_1l" aria-label="Shared with: Manisha's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}"><p>happy bday ..:):)</p></div><div></div><div><form rel="async" class="live_4445359627443_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_8_14" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQG-VgRoE_a0" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"1552372869","target_fbid":"4445359627443","target_profile_id":"1692984794","type_id":"100","assoc_obj_id":"","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406488928","check_hash":"AQAo7p1ed8kI8qtY","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp _5vsi"><span><span data-reactid=".88"><a class="UFILikeLink accessible_elem" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-reactid=".88.0">Like</a><a class="UFILikeLink" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-ft="{"tn":">"}" data-reactid=".88.1">Like</a></span></span> · <label class="uiLinkButton comment_link" title="Leave a comment"><input class="uiLinkButtonInput" data-ft="{"type":24,"tn":"S"}" type="button" value="Comment" onclick="return fc_click(this);"></label> · <span><a class="share_action_link" data-ft="{ "tn": "J", "type": 25 }" href="https://www.facebook.com/ajax/sharer/?s=65&appid=2719290516&p[0]=1552372869&p[1]=4445359627443&share_source_type=unknown&__av=100000590753545" rel="dialog" title="Send this to friends or post it on your timeline." data-reactid=".89">Share</a></span></div></div></div><div class="uiUfi UFIContainer _5pc9 _5vsj _5v9k" id="u_jsonp_8_1c"><ul class="UFIList" data-reactid=".8a"><li class="UFIRow UFIComponent UFIAddComment UFIAddCommentWithPhotoAttacher UFIFirstComponent UFILastComponent" data-ft="{"tn":"["}" data-reactid=".8a.1:4"><div class="UFIMentionsInputWrap clearfix" data-reactid=".8a.1:4.0"><div class="_ohe lfloat" data-reactid=".8a.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".8a.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur Kumar" data-reactid=".8a.1:4.0.$left.0.0"></div></div><div class="" data-reactid=".8a.1:4.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".8a.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".8a.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".8a.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".8a.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".8a.1:4.0.$right.0.0.0.0.0"><div data-reactid=".8a.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" data-reactid=".8a.1:4.0.$right.0.0.0.0.0.0.0"></span></div></div><div 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Vani Kumar
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rel="dialog" data-ft="{"tn":"l"}" role="button">82 others</a> wrote on <a class="profileLink" href="https://www.facebook.com/tanya.singh.758" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=638416319">Tanya Singh</a>'s timeline.</span></div></h5><div class="clearfix mvm"><a class="_8o _8t lfloat _ohe" href="https://www.facebook.com/tanya.singh.758" tabindex="-1" aria-hidden="true" data-hovercard="/ajax/hovercard/user.php?id=638416319"><div class="uiScaledImageContainer" style="width: 90px; height: 90px"><img class="scaledImageFitWidth img" src="./ui_files/10505605_10152634586231320_3625016649285669464_n.jpg" alt="" width="90" height="90"></div></a><div class="_42ef"><div class="mbs fwb"><a href="https://www.facebook.com/tanya.singh.758" data-hovercard="/ajax/hovercard/user.php?id=638416319">Tanya Singh</a></div><div class="mbs fcg">Birthday: Yesterday</div><ul class="uiList _4kg _6-h _704 _6-i"><li><div class="fsm fwn fcg">You wrote on Tanya's timeline.</div></li><li><div class="clearfix"><i class="_5alt _8o _8r lfloat _ohe img sp_Fl-Bi-rXZkL sx_a13340"></i><div class="_8u _42ef"><a href="https://www.facebook.com/gifts?recipient_id=638416319&entry_point=aggregated_birthday_story&gift_occasion=birthday">Give her a birthday gift</a></div></div></li></ul></div></div><div class="stat_elem"><ul class="uiList uiCollapsedList uiCollapsedListHidden _5pbz _5va0 _4kg" id="u_jsonp_8_2a"><li><div class="userContentWrapper _5pcr mbs _5v9_ _5va1 _3ccb" data-dedup="S:_I768376154:10152640656856155" id="u_jsonp_8_23" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_8_2d" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_8_2o"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/profile.php?id=768376154&fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=768376154"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/36760_441556066154_8188805_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_119"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/profile.php?id=768376154&fref=nf" data-hovercard="/ajax/hovercard/user.php?id=768376154&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Ravi Sharma</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/tanya.singh.758?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=638416319&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Tanya Singh</a></span></div></h6><div class="_5pcp" id="js_123"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/tanya.singh.758/posts/10152664827606320"><abbr title="Sunday, July 27, 2014 at 11:13pm" data-utime="1406482991" data-shorten="1" class="_5ptz timestamp livetimestamp">3 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_3j" aria-label="Shared with: Tanya's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}" id="js_124"><p>Wish you Happy B'day</p></div><div></div><div><form rel="async" class="live_10152664827606320_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_8_2v" onsubmit="return window.Event && Event.__inlineSubmit && 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data-reactid=".8h.1:4.0.$right.0.0.0.0.1.0"><input type="hidden" autocomplete="off" class="hiddenInput" data-reactid=".8h.1:4.0.$right.0.0.0.0.1.0.0"><div class="innerWrap" data-reactid=".8h.1:4.0.$right.0.0.0.0.1.0.1"><textarea name="add_comment_text" class="textInput mentionsTextarea uiTextareaAutogrow uiTextareaNoResize UFIAddCommentInput DOMControl_placeholder" title="Write a comment..." placeholder="Write a comment..." data-reactid=".8h.1:4.0.$right.0.0.0.0.1.0.1.0">Write a comment...</textarea></div></div></div><input type="hidden" autocomplete="off" class="mentionsHidden" value="" data-reactid=".8h.1:4.0.$right.0.0.0.0.2"></div><div class="UFICommentAttachmentButtons clearfix" data-reactid=".8h.1:4.0.$right.0.0.0.1"><div class="UFIPhotoAttachLinkWrapper _m" data-hover="tooltip" data-tooltip-alignh="center" aria-label="Attach a Photo" data-reactid=".8h.1:4.0.$right.0.0.0.1.0"><i class="UFICommentPhotoIcon" data-reactid=".8h.1:4.0.$right.0.0.0.1.0.0"><input type="file" accept="image/*" class="_n" name="file" title="Choose a file to upload" aria-label="Choose a file to upload"></i></div></div></div></div></div></div></div></li></ul></div></form></div></div></li><li><div class="userContentWrapper _5pcr mvs _5v9_ _5va1 _3ccb" data-dedup="S:_I638173979:10152615519528980" id="u_jsonp_8_24" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_8_2e" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_8_2q"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/rachit.sharma.794?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=638173979"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/1920579_10152319505503980_2094939342_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_120"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/rachit.sharma.794?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=638173979&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Rachit Sharma</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/tanya.singh.758?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=638416319&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Tanya Singh</a></span></div></h6><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/tanya.singh.758/posts/10152664301641320"><abbr title="Sunday, July 27, 2014 at 6:19pm" data-utime="1406465359" data-shorten="1" class="_5ptz timestamp livetimestamp">8 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_3k" aria-label="Shared with: Tanya's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}"><p>Happy Birthday!!</p></div><div></div><div><form rel="async" class="live_10152664301641320_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_8_2w" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQG-VgRoE_a0" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" 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data-ft="{"tn":"["}" data-reactid=".8l.1:4"><div class="UFIMentionsInputWrap clearfix" data-reactid=".8l.1:4.0"><div class="_ohe lfloat" data-reactid=".8l.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".8l.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur Kumar" data-reactid=".8l.1:4.0.$left.0.0"></div></div><div class="" data-reactid=".8l.1:4.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".8l.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".8l.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".8l.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".8l.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".8l.1:4.0.$right.0.0.0.0.0"><div data-reactid=".8l.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" 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aria-label="Attach a Photo" data-reactid=".8l.1:4.0.$right.0.0.0.1.0"><i class="UFICommentPhotoIcon" data-reactid=".8l.1:4.0.$right.0.0.0.1.0.0"><input type="file" accept="image/*" class="_n" name="file" title="Choose a file to upload" aria-label="Choose a file to upload"></i></div></div></div></div></div></div></div></li></ul></div></form></div></div></li><li class="hiddenItem"><div class="userContentWrapper _5pcr mvs _5v9_ _5va1 _3ccb" data-dedup="S:_I814195044:10154512444850045" id="u_jsonp_8_25" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_8_2f" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_8_2s"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/vani.kumar.754?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=814195044"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/10492325_10154459646620045_8060972596910399152_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_121"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/vani.kumar.754?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=814195044&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Vani Kumar</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/tanya.singh.758?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=638416319&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Tanya Singh</a></span></div></h6><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/tanya.singh.758/posts/10152664225461320"><abbr title="Sunday, July 27, 2014 at 5:23pm" data-utime="1406462029" data-shorten="1" class="_5ptz timestamp livetimestamp">9 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_3l" aria-label="Shared with: Tanya's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}"><p>Happy bday girl.. Have a grt day!!</p></div><div></div><div><form rel="async" class="live_10152664225461320_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_8_2x" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQG-VgRoE_a0" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"814195044","target_fbid":"10152664225461320","target_profile_id":"638416319","type_id":"100","assoc_obj_id":"","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406462029","check_hash":"AQDsA5pzrpgan2UM","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp _5vsi"><span><span data-reactid=".8n"><a class="UFILikeLink accessible_elem" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-reactid=".8n.0">Like</a><a class="UFILikeLink" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-ft="{"tn":">"}" data-reactid=".8n.1">Like</a></span></span> · <label class="uiLinkButton comment_link" title="Leave a comment"><input class="uiLinkButtonInput" data-ft="{"type":24,"tn":"S"}" type="button" value="Comment" onclick="return fc_click(this);"></label> · <span><a class="share_action_link" data-ft="{ "tn": "J", "type": 25 }" href="https://www.facebook.com/ajax/sharer/?s=65&appid=2719290516&p[0]=814195044&p[1]=10152664225461320&share_source_type=unknown&__av=100000590753545" rel="dialog" title="Send this to friends or post it on your timeline." data-reactid=".8o">Share</a></span> · <span><a class="UFIBlingBox uiBlingBox feedbackBling" href="https://www.facebook.com/tanya.singh.758/posts/10152664225461320" data-ft="{"tn":"O"}" aria-label="1 like " rel="ignore" data-reactid=".8m"><span data-reactid=".8m.$like"><i class="UFIBlingBoxLikeIcon UFIBlingBoxSprite" data-reactid=".8m.$like.0"></i><span class="UFIBlingBoxText" data-reactid=".8m.$like.1">1</span></span></a></span></div></div></div><div class="uiUfi UFIContainer _5pc9 _5vsj _5v9k" id="u_jsonp_8_34"><ul class="UFIList" data-reactid=".8p"><li class="UFIRow UFILikeSentence UFIFirstComponent" data-reactid=".8p.1:0"><div class="clearfix" data-reactid=".8p.1:0.0"><div class="_ohe lfloat" data-reactid=".8p.1:0.0.$left"><a class="img _8o _8r UFIImageBlockImage UFILikeThumb" href="https://www.facebook.com/#" tabindex="-1" title="Like this" role="button" aria-label="Like this" data-reactid=".8p.1:0.0.$left.0"><i class="UFILikeIcon" data-reactid=".8p.1:0.0.$left.0.0"></i></a></div><div class="" data-reactid=".8p.1:0.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".8p.1:0.0.$right.0"><div class="UFILikeSentenceText" data-reactid=".8p.1:0.0.$right.0.0"><span data-reactid=".8p.1:0.0.$right.0.0.0"><a class="profileLink" dir="ltr" href="https://www.facebook.com/tanya.singh.758" data-hovercard="/ajax/hovercard/hovercard.php?id=638416319&extragetparams=%7B%22hc_location%22%3A%22ufi%22%7D" data-reactid=".8p.1:0.0.$right.0.0.0.$range0:0">Tanya Singh</a><span data-reactid=".8p.1:0.0.$right.0.0.0.$end:0:$0:0"> likes this.</span></span></div></div></div></div></li><li class="UFIRow UFIComponent UFIAddComment UFIAddCommentWithPhotoAttacher UFILastComponent" data-ft="{"tn":"["}" data-reactid=".8p.1:4"><div class="UFIMentionsInputWrap clearfix" data-reactid=".8p.1:4.0"><div class="_ohe lfloat" data-reactid=".8p.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".8p.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur 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fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/viruj.dugar?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=502620362&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Viruj Dugar</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/tanya.singh.758?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=638416319&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Tanya Singh</a></span></div></h6><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/tanya.singh.758/posts/10152663991216320"><abbr title="Sunday, July 27, 2014 at 1:30pm" data-utime="1406448034" data-shorten="1" class="_5ptz timestamp livetimestamp">13 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_3m" aria-label="Shared with: Tanya's friends"><i 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Happy happy birthday!!!!</p></div><div></div><div><form rel="async" class="live_10152663991216320_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_8_2y" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQG-VgRoE_a0" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"502620362","target_fbid":"10152663991216320","target_profile_id":"638416319","type_id":"100","assoc_obj_id":"","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406448034","check_hash":"AQCzzRUc1V4LJNhu","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div 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data-reactid=".94.1:3:1:$comment10154426377405297_10154427035600297:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".94.1:3:1:$comment10154426377405297_10154427035600297:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".94.1:3:1:$comment10154426377405297_10154427035600297:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".94.1:3:1:$comment10154426377405297_10154427035600297:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Waaaoooo</span></span></span><span data-reactid=".94.1:3:1:$comment10154426377405297_10154427035600297:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".94.1:3:1:$comment10154426377405297_10154427035600297:0.0.$right.0.$left.0.3"><span data-reactid=".94.1:3:1:$comment10154426377405297_10154427035600297:0.0.$right.0.$left.0.3.$metadata:0"><a class="uiLinkSubtle" 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data-reactid=".94.1:3:1:$comment10154426377405297_10154427613930297:0.0.$right.0.$left.0.0.1:$comment-body.0.$range0:0">Vijeta Jena</a><span data-reactid=".94.1:3:1:$comment10154426377405297_10154427613930297:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">: Ek LS jagah hai <span class="emoticon_text" aria-hidden="true">:P</span><span title=":P" class="emoticon emoticon_tongue"></span></span></span></span><span data-reactid=".94.1:3:1:$comment10154426377405297_10154427613930297:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".94.1:3:1:$comment10154426377405297_10154427613930297:0.0.$right.0.$left.0.3"><span data-reactid=".94.1:3:1:$comment10154426377405297_10154427613930297:0.0.$right.0.$left.0.3.$metadata:0"><a class="uiLinkSubtle" href="https://www.facebook.com/photo.php?fbid=10154426377405297&set=a.10150277875250297.501197.617995296&type=1&comment_id=10154427613930297&offset=0&total_comments=9" data-ft="{"tn":"N"}" 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href="https://www.facebook.com/banerjee.sarah?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=502539584&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Sarah Banerjee</a></span></div></h5><div class="_5pcp" id="js_126"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/banerjee.sarah/posts/10152360025589585"><abbr title="Sunday, July 27, 2014 at 11:12am" data-utime="1406439753" data-shorten="1" class="_5ptz timestamp livetimestamp">15 hrs</abbr></a> · <a class="_5pcq" href="https://www.facebook.com/pages/Gurgaon-Haryana/106487939387579" data-hovercard="/ajax/hovercard/page.php?id=106487939387579">Gurgaon</a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_3p" aria-label="Shared with: Sarah's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}" id="js_127"><p>This is the nice <a class="profileLink" href="https://www.facebook.com/BeingSalmanKhan" data-hovercard="/ajax/hovercard/page.php?id=334873533267523">Salman Khan</a>, not the present one. And it is a nice song <i class="_4-k1 img sp_F6Afu2XGiZY sx_c2f60c"></i><br> <a href="https://www.facebook.com/l.php?u=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3D8zXdENWGNnw&h=iAQHT1NZx&enc=AZPgwmfDmG11Ja8jvOsnd1Lq6ZahThd4_Th2rGdspUyiQW741c6B5wUkV0c17SKrrSsKTlrzxTq65oeHqLqhkb0hwc24YRw7w2_EAdlvOnKTxI-ton5nMV3nrrSyiZkgz0rz-AhjZEJDh0RdXmIjvFfN&s=1" target="_blank" rel="nofollow" onmouseover="LinkshimAsyncLink.swap(this, "https:\/\/www.youtube.com\/watch?v=8zXdENWGNnw");" onclick="LinkshimAsyncLink.referrer_log(this, "https:\/\/www.youtube.com\/watch?v=8zXdENWGNnw", "\/si\/ajax\/l\/render_linkshim_log\/?u=https\u00253A\u00252F\u00252Fwww.youtube.com\u00252Fwatch\u00253Fv\u00253D8zXdENWGNnw&h=iAQHT1NZx&render_verification=0&enc=AZPgwmfDmG11Ja8jvOsnd1Lq6ZahThd4_Th2rGdspUyiQW741c6B5wUkV0c17SKrrSsKTlrzxTq65oeHqLqhkb0hwc24YRw7w2_EAdlvOnKTxI-ton5nMV3nrrSyiZkgz0rz-AhjZEJDh0RdXmIjvFfN&d");">https://www.youtube.com/watch?v=8zXdENWGNnw</a></p></div><div><div data-ft="{"tn":"H"}"><div class="_6m2 _1zpr clearfix _dcs _4_w4 _5cwb mtm" id="u_jsonp_8_21" data-ft="{"tn":"H"}"><div class="clearfix"><div class="lfloat _ohe"><div class="_6ks" data-ft="{"tn":"F"}"><div id="u_jsonp_8_22"><a class="_6kt _6l- __c_" aria-label="Kabhi Tu Chaliya Lagta Hai - Patthar Ke Phool *BluRay* (HD 720p)" ajaxify="/ajax/flash/expand_inline.php?max_width=470&selector=%5E._6m2&target_div=u_jsonp_8_22&share_id=481266528572740&user_share_id=10152360025589585" href="https://www.facebook.com/l.php?u=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3D8zXdENWGNnw&h=fAQEgptlf&enc=AZOV9XmkC7CbmDSZPvnXH10gAX1ZUJUIm-KFYkNnqExfr3pytHR59hxpr-ZxLs6JVpSIzPVvXl6QMywIE4UhSjMV3ED4xcYJr9Fcluf9xVe6W2zVfTzsSLfqajizTsHFmlGDW5jjHFU4s_VV4r0tI2y6&s=1" rel="nofollow async" target="_blank" onmouseover="LinkshimAsyncLink.swap(this, "https:\/\/www.youtube.com\/watch?v=8zXdENWGNnw");" onclick="LinkshimAsyncLink.referrer_log(this, "https:\/\/www.youtube.com\/watch?v=8zXdENWGNnw", "\/si\/ajax\/l\/render_linkshim_log\/?u=https\u00253A\u00252F\u00252Fwww.youtube.com\u00252Fwatch\u00253Fv\u00253D8zXdENWGNnw&h=fAQEgptlf&render_verification=0&enc=AZOV9XmkC7CbmDSZPvnXH10gAX1ZUJUIm-KFYkNnqExfr3pytHR59hxpr-ZxLs6JVpSIzPVvXl6QMywIE4UhSjMV3ED4xcYJr9Fcluf9xVe6W2zVfTzsSLfqajizTsHFmlGDW5jjHFU4s_VV4r0tI2y6&d");"><img class="_6m5 fbStoryAttachmentImage img" src="./ui_files/safe_image(5).php" alt=""><i class="_6ku"></i><span class="img _55ym _55yq _55yp _5tqs _5epl" aria-label="Loading..." aria-busy="1"></span></a></div></div></div><div class="_42ef"><div><div class="_6m3"><div class="mbs _6m6"><a href="https://www.facebook.com/l.php?u=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3D8zXdENWGNnw&h=CAQGFFZhq&s=1" target="_blank" rel="nofollow" onmouseover="LinkshimAsyncLink.swap(this, "https:\/\/www.youtube.com\/watch?v=8zXdENWGNnw");" onclick="LinkshimAsyncLink.referrer_log(this, "https:\/\/www.youtube.com\/watch?v=8zXdENWGNnw", "\/si\/ajax\/l\/render_linkshim_log\/?u=https\u00253A\u00252F\u00252Fwww.youtube.com\u00252Fwatch\u00253Fv\u00253D8zXdENWGNnw&h=CAQGFFZhq&render_verification=0&enc&d");">Kabhi Tu Chaliya Lagta Hai - Patthar Ke Phool *BluRay* (HD 720p)</a></div><div class="_6ma"><div class="_6m7">Movie: Patthar Ke Phool (1991) Song: Kabhi Tu Chaliya Lagta Hai Singers: S.P. Balasubramaniam, Lata Mangeshkar Music Director:Raam Laxman Lyrics Writer:Dev K...</div><div class="_59tj"><div class="_6lz _6mb ellipsis">youtube.com</div></div></div></div><a class="_52c6" href="https://www.facebook.com/l.php?u=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3D8zXdENWGNnw&h=nAQFglNQDAQErQwDRBVAzlHL6LMgLxoh0SFXVfiJVTWz4aw&enc=AZMShL78ZMcugSVExSc5yuy4s7705M3NJo5HIRm4h4EcXfPNgF1foGLCcvlj3omabeKoOAfElQo5rU3VabjTYg_Sf74Zq8yZmUOyj-DHql3H377m0xJDpIcQfdvNu1MHDpM&s=1" target="_blank" rel="nofollow" onmouseover="LinkshimAsyncLink.swap(this, "https:\/\/www.youtube.com\/watch?v=8zXdENWGNnw");" onclick="LinkshimAsyncLink.referrer_log(this, "https:\/\/www.youtube.com\/watch?v=8zXdENWGNnw", 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data-hovercard="/ajax/hovercard/group.php?id=1486334851608134&extragetparams=%7B%22fref%22%3A%22nf%22%7D">राष्ट्रकवि रामधारी सिंह "दिनकर"</a></span></div></h5><div class="_5pcp" id="js_129"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/groups/1486334851608134/permalink/1486985818209704/"><abbr title="Monday, July 28, 2014 at 12:28am" data-utime="1406487516" data-shorten="1" class="_5ptz timestamp livetimestamp">2 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_3q" aria-label="Shared with: Members of राष्ट्रकवि रामधारी सिंह "दिनकर""><i class="lock img sp_843e1e sx_447ccd"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}" id="js_130"><p>Can someone share "द्व्न्दगीत" by Dinkar? I am looking for the ebook.</p></div><div></div><div><form rel="async" class="live_1486985818209704_316526391751760 commentable_item autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_8_3e" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQG-VgRoE_a0" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"749892938","target_fbid":"1486985818209704","target_profile_id":"","type_id":"308","assoc_obj_id":"1486334851608134","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406487515","check_hash":"AQC6BxO76_jPLIxg","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp 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href="https://www.facebook.com/l.php?u=https%3A%2F%2Fapps.facebook.com%2Fbattlepirates%2F%3Ffb_source%3Dsidebar_bookmark&h=tAQF-UzOe&enc=AZOkG-nTMjYs3uEDeB__7JgRpFXIT8_ejBwgGYAz7J3wuHchGwxZlORRybSeL72YVykuxMC2Ced33n9oqsJmz3v17C1RGqnOIbLeXNfPsIzI2Su7ygXKfTygxR2idWPdChZ6LEv2SEaKCWLw8tqCUj3UZIlaZrwBp7253J_ogFG6EM5K2fhcp_zRqsvNsnEJUdbIT990Lz5eB6fbua_BmBBHccELb6GiefluJzgsK0sXesUrbm0-8tEvJBl_SoQ-wcBIXFlNTsf244fvIZb4jHlXei2KxUJ02NZbjRwdbozXLlie2ktaXyy0IsL_VZkkb3vUjUtVzUL6k9UukxTnOvzQ" data-gt="{"appid":"148669555176974","fbsource":"1301","ref":"divebar_bookmarks","type":"click2canvas","bmid":"148669555176974","count":"0"}" data-appname="Battle Pirates"><img class="img" src="./ui_files/851577_548383171872275_1839093140_n.png" width="50" height="50" alt=""></a></div><div class="_2hcm"><span class="count _5wk0 _2hcl hidden_elem uiSideNavCount uiSideNavCountRed"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span></div></div></div></td><td class="_51m-"><div 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class="img" src="./ui_files/851580_584839558217588_1576809494_n.gif" width="50" height="50" alt=""></a></div><div class="_2hcm"><span class="count _5wk0 _2hcl hidden_elem uiSideNavCount uiSideNavCountRed"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span></div></div></div></td><td class="_51m- _51mw"><div class="_1k78"><div class="_1k79" style="height:50px; width:50px"><div class="_2omr" title="Glamble Poker!"><a href="https://www.facebook.com/l.php?u=https%3A%2F%2Fapps.facebook.com%2Fglamble%2F%3Ffb_source%3Dsidebar_bookmark&h=VAQFlh5hd&enc=AZNfJJ7BvQuKz1YK6bEh1xaesAF-Hhn50Z_6hShmhe5V7uajFkWGbFxUFp8zCdgL57IhZ_dQ_CgUxwnyhhw27VE9zDunhTJiLqFLRbmeXSuYpIV6pIxcukQeacs9hyuhuZe-moGOirGWPYY_z1Ro6CGGlO125tJ70rKPnrwcxsgYmjiuRyhe9WFa_wtxj0K-PhLK5OVwRHd4gocLdfapPp_IK8UGfco9IzBqoNDnpB49rp-9prjo9dkwrbUH6I4RbcJTgLWcxWBSi8HHVbmxC6c7_fhjX-JjaXltvlI_5XqdeSNwEOy6cmxa-nPMsRvPjTzymg4Hn1ClaD04bqkMN7vh" 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href="https://www.facebook.com/l.php?u=https%3A%2F%2Fapps.facebook.com%2Finthemafia%2F%3Ffb_source%3Dsidebar_bookmark&h=EAQEava1M&enc=AZP2KfSkqtM1xwmfX0wyByeDaiXehi1H-DWFmvfoJJnmUd9W1b7JPbiQcr7SH96aAZ5dAP81blYoe7xsKBz2NBcYYST_HnQKmXR3WrS9BwjDZES2RDjz1FOBOw1F2zHSBWRDNlv-D5wpva1xKdyJOTMLs-tehTXpHLyMu-ZSs_M-jZXbzRbG8DBwTy024n0Aem2G9H0rQrRRJXQCmxg3UA6w1-KYyMblPLk_Jy_Y6SLd4lGejFiiusWPKSocqb_SifKd8yevHXaf_wNBk21zXoDZLYGC4U-NOB4zzpZ36ut7dOowb4I5zvtwkEXCTX4ZvEz-FuI3zbGSWMkhDjJlkoEr" data-gt="{"appid":"10979261223","fbsource":"1301","ref":"divebar_bookmarks","type":"click2canvas","bmid":"10979261223","count":"0"}" data-appname="Mafia Wars"><img class="img" src="./ui_files/10173493_10152418225841224_264961607_n.png" width="50" height="50" alt=""></a></div><div class="_2hcm"><span class="count _5wk0 _2hcl hidden_elem uiSideNavCount uiSideNavCountRed"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span></div></div></div></td><td class="_51m-"><div class="_1k78"><div class="_1k79" style="height:50px; width:50px"><div class="_2omr" title="CityVille"><a href="https://www.facebook.com/l.php?u=https%3A%2F%2Fapps.facebook.com%2Fcityville%2F%3Ffb_source%3Dsidebar_bookmark&h=bAQFqu9wT&enc=AZMMk5mtYfvRjsGHsR_feTGalGLbSU6l4S0z1BhMxEQlmJrr0jZIu64Kf_wQRQfiJpaCnMHFtJbe0qscMdXGmNuimFQPUdGw2ZDdJWI_433y2qB2RIEGO_ps4nsnwk8kG8jh9uKJyVmXiN-r-3PV2jbuOHCvuBYWDEzS8lOpkRpYmpIQp4cya1b1oAldBFpgiSxWMDytSjQM2suNsEKiZyefWT3J7EzDOPkA_on6XaAOzVqzmoJPPIz9I0-dVRExUhLB6zZhj5SW1bBX3zWv1xoExHChfIofajbyqom34983LvIjg02G_5XOGV__Wa2fLY8NDHU8-JDbyc33n7Q8fEC5" data-gt="{"appid":"291549705119","fbsource":"1301","ref":"divebar_bookmarks","type":"click2canvas","bmid":"291549705119","count":"0"}" data-appname="CityVille"><img class="img" src="./ui_files/851581_10151645348255120_349549652_n.png" width="50" height="50" alt=""></a></div><div class="_2hcm"><span class="count _5wk0 _2hcl hidden_elem uiSideNavCount uiSideNavCountRed"><span class="countValue fss">0</span><span 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class="_55lr" data-reactid=".11.$ordered_list.$1139985295.0.0.2">Satya Prakash</div><div class="_55ls" data-reactid=".11.$ordered_list.$1139985295.0.0.3"></div></div></a></li><li class="_42fz _570-" data-id="1836900805" data-reactid=".11.$ordered_list.$1836900805"><a class="_55ln" href="https://www.facebook.com/messages/1836900805" rel="ignore" data-reactid=".11.$ordered_list.$1836900805.0"><div class="_55lp" data-reactid=".11.$ordered_list.$1836900805.0.0"><div class="_56p9" data-reactid=".11.$ordered_list.$1836900805.0.0.0"><div size="32" class="_55lt" style="width:32px;height:32px;" data-reactid=".11.$ordered_list.$1836900805.0.0.0.0"><img src="./ui_files/1425715_10200166512685669_876894750_n(1).jpg" width="32" height="32" alt="" class="img" data-reactid=".11.$ordered_list.$1836900805.0.0.0.0.0"></div><div class="_568w" data-reactid=".11.$ordered_list.$1836900805.0.0.0.1"></div></div><div class="_5bon" data-reactid=".11.$ordered_list.$1836900805.0.0.1"></div><div class="_55lr" data-reactid=".11.$ordered_list.$1836900805.0.0.2">Ramanagoud Parakanalli</div><div class="_55ls" data-reactid=".11.$ordered_list.$1836900805.0.0.3"></div></div></a></li><li class="_42fz _570-" data-id="100002098234331" data-reactid=".11.$ordered_list.$100002098234331"><a class="_55ln" href="https://www.facebook.com/messages/100002098234331" rel="ignore" data-reactid=".11.$ordered_list.$100002098234331.0"><div class="_55lp" data-reactid=".11.$ordered_list.$100002098234331.0.0"><div class="_56p9" data-reactid=".11.$ordered_list.$100002098234331.0.0.0"><div size="32" class="_55lt" style="width:32px;height:32px;" data-reactid=".11.$ordered_list.$100002098234331.0.0.0.0"><img src="./ui_files/320594_180437935369480_1229729853_n.jpg" width="32" height="32" alt="" class="img" data-reactid=".11.$ordered_list.$100002098234331.0.0.0.0.0"></div><div class="_568w" data-reactid=".11.$ordered_list.$100002098234331.0.0.0.1"></div></div><div class="_5bon" data-reactid=".11.$ordered_list.$100002098234331.0.0.1"></div><div class="_55lr" data-reactid=".11.$ordered_list.$100002098234331.0.0.2">Anokh Kishore</div><div class="_55ls" data-reactid=".11.$ordered_list.$100002098234331.0.0.3"></div></div></a></li><li class="_42fz _570-" data-id="750680493" data-reactid=".11.$ordered_list.$750680493"><a class="_55ln" href="https://www.facebook.com/messages/750680493" rel="ignore" data-reactid=".11.$ordered_list.$750680493.0"><div class="_55lp" data-reactid=".11.$ordered_list.$750680493.0.0"><div class="_56p9" data-reactid=".11.$ordered_list.$750680493.0.0.0"><div size="32" class="_55lt" style="width:32px;height:32px;" data-reactid=".11.$ordered_list.$750680493.0.0.0.0"><img src="./ui_files/1959374_10153805104400494_1295435059_n(1).jpg" width="32" height="32" alt="" class="img" data-reactid=".11.$ordered_list.$750680493.0.0.0.0.0"></div><div class="_568w" data-reactid=".11.$ordered_list.$750680493.0.0.0.1"></div></div><div class="_5bon" data-reactid=".11.$ordered_list.$750680493.0.0.1"></div><div class="_55lr" data-reactid=".11.$ordered_list.$750680493.0.0.2">Debashish Sinha</div><div class="_55ls" data-reactid=".11.$ordered_list.$750680493.0.0.3"></div></div></a></li><li class="_42fz _570-" data-id="667696180" data-reactid=".11.$ordered_list.$667696180"><a class="_55ln" href="https://www.facebook.com/messages/667696180" rel="ignore" data-reactid=".11.$ordered_list.$667696180.0"><div class="_55lp" data-reactid=".11.$ordered_list.$667696180.0.0"><div class="_56p9" data-reactid=".11.$ordered_list.$667696180.0.0.0"><div size="32" class="_55lt" style="width:32px;height:32px;" data-reactid=".11.$ordered_list.$667696180.0.0.0.0"><img src="./ui_files/10487591_10152538105151181_6603538750212101324_n.jpg" width="32" height="32" alt="" class="img" data-reactid=".11.$ordered_list.$667696180.0.0.0.0.0"></div><div class="_568w" data-reactid=".11.$ordered_list.$667696180.0.0.0.1"></div></div><div class="_5bon" data-reactid=".11.$ordered_list.$667696180.0.0.1"></div><div class="_55lr" data-reactid=".11.$ordered_list.$667696180.0.0.2">Saurav Biswas</div><div class="_55ls" data-reactid=".11.$ordered_list.$667696180.0.0.3"></div></div></a></li><li class="_42fz _570-" data-id="581860218" data-reactid=".11.$ordered_list.$581860218"><a class="_55ln" href="https://www.facebook.com/messages/581860218" rel="ignore" data-reactid=".11.$ordered_list.$581860218.0"><div class="_55lp" data-reactid=".11.$ordered_list.$581860218.0.0"><div class="_56p9" data-reactid=".11.$ordered_list.$581860218.0.0.0"><div size="32" class="_55lt" style="width:32px;height:32px;" data-reactid=".11.$ordered_list.$581860218.0.0.0.0"><img src="./ui_files/1896767_10152157479905219_443007042_n(1).jpg" width="32" height="32" alt="" class="img" data-reactid=".11.$ordered_list.$581860218.0.0.0.0.0"></div><div class="_568w" data-reactid=".11.$ordered_list.$581860218.0.0.0.1"></div></div><div class="_5bon" data-reactid=".11.$ordered_list.$581860218.0.0.1"></div><div class="_55lr" data-reactid=".11.$ordered_list.$581860218.0.0.2">Abhinav Bhaskar</div><div class="_55ls" data-reactid=".11.$ordered_list.$581860218.0.0.3"></div></div></a></li><li class="_42fz _570-" data-id="631845375" data-reactid=".11.$ordered_list.$631845375"><a class="_55ln" href="https://www.facebook.com/messages/631845375" rel="ignore" data-reactid=".11.$ordered_list.$631845375.0"><div class="_55lp" data-reactid=".11.$ordered_list.$631845375.0.0"><div class="_56p9" data-reactid=".11.$ordered_list.$631845375.0.0.0"><div size="32" class="_55lt" style="width:32px;height:32px;" data-reactid=".11.$ordered_list.$631845375.0.0.0.0"><img src="./ui_files/10001280_10152211779230376_586421533_n.jpg" width="32" height="32" alt="" class="img" data-reactid=".11.$ordered_list.$631845375.0.0.0.0.0"></div><div class="_568w" data-reactid=".11.$ordered_list.$631845375.0.0.0.1"></div></div><div class="_5bon" data-reactid=".11.$ordered_list.$631845375.0.0.1"></div><div class="_55lr" data-reactid=".11.$ordered_list.$631845375.0.0.2">Anshuman Prakash</div><div class="_55ls" data-reactid=".11.$ordered_list.$631845375.0.0.3"></div></div></a></li><li class="_42fz _570-" data-id="100001787324785" data-reactid=".11.$ordered_list.$100001787324785"><a class="_55ln" href="https://www.facebook.com/messages/100001787324785" rel="ignore" data-reactid=".11.$ordered_list.$100001787324785.0"><div class="_55lp" data-reactid=".11.$ordered_list.$100001787324785.0.0"><div class="_56p9" data-reactid=".11.$ordered_list.$100001787324785.0.0.0"><div size="32" class="_55lt" style="width:32px;height:32px;" data-reactid=".11.$ordered_list.$100001787324785.0.0.0.0"><img src="./ui_files/1966756_627201314016107_1738068687_n.jpg" width="32" height="32" alt="" class="img" data-reactid=".11.$ordered_list.$100001787324785.0.0.0.0.0"></div><div class="_568w" data-reactid=".11.$ordered_list.$100001787324785.0.0.0.1"></div></div><div class="_5bon" data-reactid=".11.$ordered_list.$100001787324785.0.0.1"></div><div class="_55lr" data-reactid=".11.$ordered_list.$100001787324785.0.0.2">Ashi Ashi</div><div class="_55ls" data-reactid=".11.$ordered_list.$100001787324785.0.0.3"></div></div></a></li></ul></li></ul></div></div></div></div><div class="uiScrollableAreaTrack invisible_elem"><div class="uiScrollableAreaGripper" style="height: 226.28571428571428px; top: 0px;"></div></div></div><div class="fbChatTypeaheadView hidden_elem" id="u_0_36"></div></div><div class="fbChatSidebarMessage clearfix"><img class="img" src="./ui_files/-PAXP-deijE.gif" alt="" width="1" height="1"><div class="message fcg"><a href="https://www.facebook.com/#" class="fbChatGoOnlineLink">Turn on chat</a> to see who's available.</div></div><table class="uiGrid _51mz _4oes" cellspacing="0" cellpadding="0" data-ft="{"tn":"+U"}"><tbody><tr class="_51mx"><td class="_51m-"><div class="uiTypeahead uiClearableTypeahead fbChatTypeahead _5q88" data-ft="{"tn":"+Q"}" id="u_0_3b"><div class="wrap"><i class="_5q87"></i><button class="_42ft _5upp _5xsk clear uiTypeaheadCloseButton" title="Clear" onclick="" type="button" id="u_0_3c">Clear</button><input type="hidden" autocomplete="off" class="hiddenInput"><div class="innerWrap"><input type="text" class="inputtext inputsearch textInput DOMControl_placeholder" autocomplete="off" placeholder="Search" aria-autocomplete="list" aria-expanded="false" aria-owns="typeahead_list_u_0_3b" aria-haspopup="true" role="combobox" spellcheck="false" value="Search" aria-label="Search" id="u_0_3d"></div><span class="img _55ym _55yn _55yo _5fzu" aria-label="Loading..." aria-busy="1"></span></div></div></td><td class="_51m-"><div><div class="_6a _6e uiPopover _5qth" id="u_0_3f"><a data-hover="tooltip" aria-label="Options" class="_5vmb button _p" href="https://www.facebook.com/#" data-ft="{"tn":"p"}" aria-haspopup="true" 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class="fbNubFlyoutOuter"><div class="fbNubFlyoutInner"><div class="fbNubFlyoutBody scrollable"><div class="fbNubFlyoutBodyContent"><div role="menu" class="uiMenu"><ul class="uiMenuInner"><li class="uiMenuItem" data-label="Dummy"><a class="itemAnchor" role="menuitem" tabindex="0" href="https://www.facebook.com/#"><span class="itemLabel fsm"> Dummy </span></a></li></ul></div></div></div></div></div></div></div><div class="fbNubGroup clearfix videoCallEnabled" id="u_0_5y"><div class="fbNub _50-v _50mz _50m_ opened"><a class="fbNubButton" tabindex="0" role="button"><div class="clearfix fbChatTab"><div class="funhouse rfloat _ohf"><div class="close" title="Close"></div></div><div class="wrapWrapper"><div class="wrap"><div class="clearfix"><span class="_5ugh _5ugg _51jx lfloat _ohe hidden_elem" id="u_0_12">0</span><div class="name fwb">Satya Prakash</div></div></div></div></div></a><div class="fbNubFlyout fbDockChatTabFlyout uiContextualLayerParent" role="complementary" data-ft="{"tn":"+M"}" 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vBot _51mw"><div class="accessible_elem">Chat Conversation Start</div><img class="pvm loading hidden_elem img" src="./ui_files/GsNJNwuI-UM.gif" alt="" width="16" height="11"><div class="conversation" aria-live="polite" aria-atomic="false" id="u_0_11"><div data-reactid=".1h"><div class="_5w-5" data-reactid=".1h.$db=2mid=11406129201342=261d9714adac7b01106"><div class="_5w-6" data-reactid=".1h.$db=2mid=11406129201342=261d9714adac7b01106.0"><abbr class="livetimestamp" title="Wednesday 8:56pm" data-utime="1406129201" data-reactid=".1h.$db=2mid=11406129201342=261d9714adac7b01106.0.0">Wednesday 8:56pm</abbr></div></div><div class="_5wd4 _1nc6 direction_ltr _5yt9" title="8:56pm" data-reactid=".1h.$mid=11406129201342=261d9714adac7b01106"><div class="_5wd9" data-reactid=".1h.$mid=11406129201342=261d9714adac7b01106.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406129201342=261d9714adac7b01106.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406129201342=261d9714adac7b01106.2:0.0.0"><div data-reactid=".1h.$mid=11406129201342=261d9714adac7b01106.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406129201342=261d9714adac7b01106.2:0.0.0.0.0"><span class="null">hahaha</span></span></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406129201342=261d9714adac7b01106.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406129201342=261d9714adac7b01106.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406129201342=261d9714adac7b01106.2:1.0.0"></div><span data-reactid=".1h.$mid=11406129201342=261d9714adac7b01106.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc7 direction_ltr _5yt9" data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60"><a aria-label="Jul 23rd, 8:57pm" class="_5ys_" data-hover="tooltip" data-tooltip-position="left" href="https://www.facebook.com/satya.prakash.96558061" data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.1"><img src="./ui_files/10299025_10202318315376161_759402747325881289_n(1).jpg" data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.1.0"></a><div class="_5wd9" data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.2:0.0.0"><div data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.2:0.0.0.0.0"><span class="null">ye python withon to tcs,infy wale use karte hai scripting ke liye,apan to JP morgan jayege</span></span></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.2:1.0.0"></div><span data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc6 direction_ltr _5yt9" title="8:57pm" data-reactid=".1h.$mid=11406129269117=2bbc70b46f329b4c540"><div class="_5wd9" data-reactid=".1h.$mid=11406129269117=2bbc70b46f329b4c540.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406129269117=2bbc70b46f329b4c540.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406129269117=2bbc70b46f329b4c540.2:0.0.0"><div data-reactid=".1h.$mid=11406129269117=2bbc70b46f329b4c540.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406129269117=2bbc70b46f329b4c540.2:0.0.0.0.0"><span class="null">yesss.. ab bohat ho gya..</span></span></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406129269117=2bbc70b46f329b4c540.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406129269117=2bbc70b46f329b4c540.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406129269117=2bbc70b46f329b4c540.2:1.0.0"></div><span data-reactid=".1h.$mid=11406129269117=2bbc70b46f329b4c540.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc6 direction_ltr _5yt9" title="8:57pm" data-reactid=".1h.$mid=11406129276595=21224344f90ba0bf612"><div class="_5wd9" data-reactid=".1h.$mid=11406129276595=21224344f90ba0bf612.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406129276595=21224344f90ba0bf612.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406129276595=21224344f90ba0bf612.2:0.0.0"><div data-reactid=".1h.$mid=11406129276595=21224344f90ba0bf612.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406129276595=21224344f90ba0bf612.2:0.0.0.0.0"><span class="null">next jump has to be giant</span></span></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406129276595=21224344f90ba0bf612.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406129276595=21224344f90ba0bf612.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406129276595=21224344f90ba0bf612.2:1.0.0"></div><span data-reactid=".1h.$mid=11406129276595=21224344f90ba0bf612.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc7 direction_ltr _5yt9 _2cnu" data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324"><a aria-label="Jul 23rd, 8:58pm" class="_5ys_" data-hover="tooltip" data-tooltip-position="left" href="https://www.facebook.com/satya.prakash.96558061" data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.1"><img src="./ui_files/10299025_10202318315376161_759402747325881289_n(1).jpg" data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.1.0"></a><div class="_5wd9" data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.2:0.0.0"><div data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.2:0.0.0.0.0"><span class="null">hmmm wo to hona hi hai</span></span></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.2:1.0.0"></div><span data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc7 direction_ltr _5yt9 _2cnu" data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42"><a aria-label="Jul 23rd, 8:58pm" class="_5ys_" data-hover="tooltip" data-tooltip-position="left" href="https://www.facebook.com/satya.prakash.96558061" data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.1"><img src="./ui_files/10299025_10202318315376161_759402747325881289_n(1).jpg" data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.1.0"></a><div class="_5wd9" data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.2:0.0.0"><div data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.2:0.0.0.0.0"><span class="null">as we are still trying <span class="emoticon_text" aria-hidden="true">:)</span><span title=":)" class="emoticon emoticon_smile"></span></span></span></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.2:1.0.0"></div><span data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc6 direction_ltr _5yt9" title="8:58pm" data-reactid=".1h.$mid=11406129324406=22963863de0af647687"><div class="_5wd9" data-reactid=".1h.$mid=11406129324406=22963863de0af647687.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406129324406=22963863de0af647687.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406129324406=22963863de0af647687.2:0.0.0"><div data-reactid=".1h.$mid=11406129324406=22963863de0af647687.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406129324406=22963863de0af647687.2:0.0.0.0.0"><span class="null">yes..</span></span></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406129324406=22963863de0af647687.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406129324406=22963863de0af647687.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406129324406=22963863de0af647687.2:1.0.0"></div><span data-reactid=".1h.$mid=11406129324406=22963863de0af647687.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc6 direction_ltr _5yt9" title="8:58pm" data-reactid=".1h.$mid=11406129333241=2d6d6ff7dff07564a93"><div class="_5wd9" data-reactid=".1h.$mid=11406129333241=2d6d6ff7dff07564a93.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406129333241=2d6d6ff7dff07564a93.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406129333241=2d6d6ff7dff07564a93.2:0.0.0"><div data-reactid=".1h.$mid=11406129333241=2d6d6ff7dff07564a93.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406129333241=2d6d6ff7dff07564a93.2:0.0.0.0.0"><span class="null">byee. m going for dinner</span></span></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406129333241=2d6d6ff7dff07564a93.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406129333241=2d6d6ff7dff07564a93.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406129333241=2d6d6ff7dff07564a93.2:1.0.0"></div><span data-reactid=".1h.$mid=11406129333241=2d6d6ff7dff07564a93.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc7 direction_ltr _5yt9 _2cnu" data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79"><a aria-label="Jul 23rd, 8:59pm" class="_5ys_" data-hover="tooltip" data-tooltip-position="left" href="https://www.facebook.com/satya.prakash.96558061" data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.1"><img src="./ui_files/10299025_10202318315376161_759402747325881289_n(1).jpg" data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.1.0"></a><div class="_5wd9" data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.2:0.0.0"><div data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.2:0.0.0.0.0"><span class="null">ok byzz</span></span></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.2:1.0.0"></div><span data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.2:1.0.1"></span></div></div></div><div class="_5w-5" data-reactid=".1h.$db=2mid=11406489180178=2a790f1e26748a15a99"><div class="_5w-6" data-reactid=".1h.$db=2mid=11406489180178=2a790f1e26748a15a99.0"><abbr class="livetimestamp" title="12:56am" data-utime="1406489180" data-reactid=".1h.$db=2mid=11406489180178=2a790f1e26748a15a99.0.0">about an hour ago</abbr></div></div><div class="_5wd4 _1nc7 direction_ltr _5yt9" data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99"><a aria-label="12:56am" class="_5ys_" data-hover="tooltip" data-tooltip-position="left" href="https://www.facebook.com/satya.prakash.96558061" data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.1" id="js_28"><img src="./ui_files/10299025_10202318315376161_759402747325881289_n(1).jpg" data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.1.0"></a><div class="_5wd9" data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.2:0.0.0"><div data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.2:0.0.0.0.0"><span class="null"><a class="_553k" href="https://github.com/satyaprakash1985/datasciencecoursera/HelloWorld.md" target="_blank" rel="nofollow">https://github.com/satyaprakash1985/datasciencecoursera/HelloWorld.md</a></span></span></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.2:1.0.0"></div><span data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc6 direction_ltr _5yt9" title="1:24am" data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>"><div class="_5wd9" data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>.2:0"><div class="_5wde" data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>.2:0.0"><div class="_5wdf _5w1r" style="max-width: 182px;" data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>.2:0.0.0"><div data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>.2:0.0.0.0.0"><span class="null"><a class="_553k" href="http://pdfcrowd.com/#convert_by_upload" target="_blank" rel="nofollow">http://pdfcrowd.com/#convert_by_upload</a></span></span></div><div class="_5wdd clearfix _5h9y" data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>.2:0.0.0.1"><div class="_59go noMedia"><div class="clearfix MercuryExternalLink"><div class="_rpb clearfix stat_elem lfloat _ohe hidden_elem"><a class="_ksh" aria-label="Uploaded" href="http://l.facebook.com/l.php?u=http%3A%2F%2Fpdfcrowd.com%2F%23convert_by_upload&h=ZAQFXAOn1&s=1" role="img" target="_blank" rel="ignore"><img alt="" src="./ui_files/drP8vlvSl_8.gif"></a><div class="_5sly hidden_elem"><div class="_5e4h _5e2k _5e2l" id="u_0_14"><div class="_5e4k _5e2d" style="width:0%"></div></div></div><div class="_5uf0 hidden_elem"><label class="uiCloseButton uiCloseButtonSmall uiCloseButtonSmallDark" for="u_0_15"><input aria-label="Remove" title="Remove" type="button" id="u_0_15"></label></div></div><div class="MercuryLinkRight rfloat _ohf"><div class="MercuryLinkTitle"><a class="linkTitle" target="_blank" href="http://pdfcrowd.com/#convert_by_upload" role="button" rel="ignore">Convert HTML to PDF online, Web/HTML to PDF API</a></div><div class="fsm fwn fcg">pdfcrowd.com</div></div></div></div></div></div></div></div><div class="_3ry4" data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>.2:1.0"><div class="_2fs1" data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>.2:1.0.0"></div><span data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc7 direction_ltr _5yt9" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227"><a aria-label="1:25am" class="_5ys_" data-hover="tooltip" data-tooltip-position="left" href="https://www.facebook.com/satya.prakash.96558061" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.1" id="js_88"><img src="./ui_files/10299025_10202318315376161_759402747325881289_n(1).jpg" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.1.0"></a><div class="_5wd9" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.2:0.0.0"><div data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.2:0.0.0.0.0"><span class="null">pro</span></span></div><div class="_5wdd clearfix _5h9y" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.2:0.0.0.1"><div class="_59go _59gq MercuryDefaultIcon"><a class="uiIconText _3tn" href="https://www.facebook.com/ajax/messaging/attachment.php?attach_id=cbd05136080ac6d9b13a0db3fd5c4de2&mid=mid.1406490900767%3Ae7cc86d8fff66a5227&hash=AQAFzBE1twM_Ann4" role="button" rel="ignore"><i class="img sp_zx-0ABL3iAw sx_d99395"></i><span class="_59gp">Project.html</span></a></div></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.2:1.0.0"></div><span data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc6 direction_ltr _5yt9" title="1:27am" data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>"><div class="_5wd9" data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>.2:0"><div class="_5wde" data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>.2:0.0.0"><div data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>.2:0.0.0.0.0"><span class="null">see</span></span></div><div class="_5wdd clearfix _5h9y" data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>.2:0.0.0.1"><div class="_59go _59gq MercuryDefaultIcon"><a class="uiIconText _3tn" href="https://www.facebook.com/ajax/messaging/attachment.php?attach_id=a0e0ddcb13213ef0a4665e957a2c934c&mid=mid.1406491034398%3Aeda78c8bc22944a703&hash=AQAywj2dPDBCXmaV" role="button" rel="ignore"><i class="img sp_zx-0ABL3iAw sx_d99395"></i><span class="_59gp">Project.html.pdf</span></a></div></div></div></div></div><div class="_3ry4" data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>.2:1.0"><div class="_2fs1" data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>.2:1.0.0"></div><span data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>.2:1.0.1"></span></div></div></div><div class="_5w-5" data-reactid=".1h.$db=2mid=11406494710160=25183d40ca9fc9ffe61"><div class="_5w-6" data-reactid=".1h.$db=2mid=11406494710160=25183d40ca9fc9ffe61.0"><abbr class="livetimestamp" title="2:28am" 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href=\"#\" role=\"button\">\u003Cdiv class=\"pas\">\u003Cdiv class=\"_1skc\" data-jsid=\"image\">\u003C\/div>\u003Cspan class=\"_1skd fcg\" data-jsid=\"text\">\u003C\/span>\u003C\/div>\u003C\/a>"},2],["m_0_37",{"__html":"\u003Cdiv class=\"pas\">\u003Cspan class=\"_1skd _1ske fcg\" data-jsid=\"text\">\u003C\/span>\u003Ca class=\"pas\" data-jsid=\"unmuteButton\" href=\"#\" role=\"button\">Unmute\u003C\/a>\u003C\/div>"},2],["m_0_38",{"__html":"\u003Cdiv class=\"pas\">\u003Cdiv class=\"_1skc\" data-jsid=\"image\">\u003C\/div>\u003Cspan class=\"_1skd fcg\" data-jsid=\"text\">\u003C\/span>\u003C\/div>"},2],["m_0_39",{"__html":"\u003Cdiv class=\"_56jk\">\u003Ctable class=\"uiGrid _51mz\" cellspacing=\"0\" cellpadding=\"0\">\u003Ctbody>\u003Ctr class=\"_51mx\">\u003Ctd class=\"_51m- vTop _56jl\">\u003Cdiv class=\"uiTypeahead\" data-ft=\"{"tn":"+Q"}\" id=\"u_0_u\">\u003Cdiv class=\"wrap\">\u003Cinput type=\"hidden\" autocomplete=\"off\" class=\"hiddenInput\" \/>\u003Cdiv class=\"innerWrap\">\u003Cinput type=\"text\" class=\"inputtext textInput DOMControl_placeholder\" data-jsid=\"nameInput\" maxlength=\"250\" placeholder=\"Name this conversation\" autocomplete=\"off\" aria-autocomplete=\"list\" aria-expanded=\"false\" aria-owns=\"typeahead_list_u_0_u\" aria-haspopup=\"true\" role=\"combobox\" spellcheck=\"false\" value=\"Name this conversation\" aria-label=\"Name this conversation\" id=\"u_0_v\" \/>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/td>\u003Ctd class=\"_51m- vTop _51mw\">\u003Cbutton value=\"1\" class=\"_42ft _42fu selected _42g-\" data-jsid=\"doneButton\" type=\"submit\">Done\u003C\/button>\u003C\/td>\u003C\/tr>\u003C\/tbody>\u003C\/table>\u003C\/div>"},4],["m_0_3e",{"__html":"\u003Cdiv class=\"pas\">\u003Ci class=\"_1skc img sp_F6Afu2XGiZY sx_d94ff0\" data-jsid=\"image\">\u003C\/i>\u003Cdiv class=\"_1skd\">\u003Cspan class=\"fcg\" data-jsid=\"text\">\u003C\/span>\u003Cdiv>\u003Ca href=\"#\" data-jsid=\"actionLink\" role=\"button\">\u003C\/a>\u003C\/div>\u003C\/div>\u003C\/div>"},2],["m_0_3f",{"__html":"\u003Cdiv>\u003Cdiv class=\"clearfix mvm mrm mll videoCallPromo\">\u003Ci class=\"_8o _8s lfloat _ohe img sp_gPysIaDCTmE sx_87e121\">\u003C\/i>\u003Cdiv class=\"_42ef\">\u003Cdiv class=\"pls\">\u003Cspan class=\"calloutTitle fwb\">Try talking face to face\u003C\/span>\u003Cdiv class=\"fsm fwn fcg\">Click \u003Cspan> ( \u003Ci class=\"onlineStatusIcon img sp_gPysIaDCTmE sx_bf4141\">\u003C\/i> )\u003C\/span> below to start a video call.\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"uiOverlayFooter uiContextualDialogFooter uiBoxGray topborder\">\u003Ctable class=\"uiGrid _51mz uiOverlayFooterGrid\" cellspacing=\"0\" cellpadding=\"0\">\u003Ctbody>\u003Ctr class=\"_51mx\">\u003Ctd class=\"_51m- prs uiOverlayFooterMessage\">\u003Ca target=\"_blank\" href=\"\/help\/?page=177940565599960\">Learn more\u003C\/a>\u003C\/td>\u003Ctd class=\"_51m- uiOverlayFooterButtons _51mw\">\u003Ca class=\"uiOverlayButton layerCancel uiButton uiButtonConfirm\" href=\"#\" role=\"button\" name=\"cancel\">\u003Cspan class=\"uiButtonText\">Close\u003C\/span>\u003C\/a>\u003C\/td>\u003C\/tr>\u003C\/tbody>\u003C\/table>\u003C\/div>\u003C\/div>"},2],["m_0_3g",{"__html":"\u003Cdiv>\u003Cdiv class=\"clearfix mvm mrm mll videoCallPromo\">\u003Ci class=\"_8o _8s lfloat _ohe img sp_gPysIaDCTmE sx_87e121\">\u003C\/i>\u003Cdiv class=\"_42ef\">\u003Cdiv class=\"pls\">\u003Cspan class=\"calloutTitle fwb\">Talk face to face\u003C\/span>\u003Cdiv class=\"fsm fwn fcg\">Click \u003Cspan> ( \u003Ci class=\"onlineStatusIcon img sp_gPysIaDCTmE sx_bf4141\">\u003C\/i> )\u003C\/span> below to start a video call.\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"uiOverlayFooter uiContextualDialogFooter uiBoxGray topborder\">\u003Ctable class=\"uiGrid _51mz uiOverlayFooterGrid\" cellspacing=\"0\" cellpadding=\"0\">\u003Ctbody>\u003Ctr class=\"_51mx\">\u003Ctd class=\"_51m- prs uiOverlayFooterMessage\">\u003Ca target=\"_blank\" href=\"\/help\/?page=177940565599960\">Learn more\u003C\/a>\u003C\/td>\u003Ctd class=\"_51m- uiOverlayFooterButtons _51mw\">\u003Ca class=\"uiOverlayButton layerCancel uiButton uiButtonConfirm\" href=\"#\" role=\"button\" name=\"cancel\">\u003Cspan class=\"uiButtonText\">Okay\u003C\/span>\u003C\/a>\u003C\/td>\u003C\/tr>\u003C\/tbody>\u003C\/table>\u003C\/div>\u003C\/div>"},2],["m_0_3h",{"__html":"\u003Cdiv class=\"fbNub _50-v _50mz _50m-\">\u003Ca class=\"fbNubButton\" tabindex=\"0\" href=\"#\" data-jsid=\"dockButton\" role=\"button\">\u003Cdiv class=\"clearfix fbChatTab\">\u003Cdiv class=\"funhouse rfloat _ohf\">\u003Cdiv class=\"close\" title=\"Close\" data-jsid=\"closeButton\">\u003C\/div>\u003C\/div>\u003Cdiv class=\"wrapWrapper\">\u003Cdiv class=\"wrap\">\u003Cdiv class=\"clearfix\">\u003Cspan class=\"_5ugh _5ugg hidden_elem _51jx hidden_elem lfloat _ohe\" data-jsid=\"numMessages\" id=\"u_0_y\">0\u003C\/span>\u003Cdiv class=\"name fwb\" data-jsid=\"name\">\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/a>\u003Cdiv class=\"fbNubFlyout fbDockChatTabFlyout uiContextualLayerParent\" data-jsid=\"chatWrapper\" role=\"complementary\" data-ft=\"{"tn":"+M"}\" aria-labelledby=\"u_0_w\">\u003Cdiv class=\"fbNubFlyoutOuter\">\u003Cdiv class=\"fbNubFlyoutInner\">\u003Cdiv class=\"clearfix fbNubFlyoutTitlebar titlebar\" data-jsid=\"nubFlyoutTitlebar\" data-ft=\"{"tn":"+J"}\">\u003Cdiv class=\"mls titlebarButtonWrapper rfloat _ohf\">\u003Ca data-hover=\"tooltip\" aria-label=\"Add more friends to chat\" data-tooltip-alignh=\"center\" class=\"addToThread button\" href=\"#\" data-jsid=\"addToThreadLink\" data-ft=\"{"tn":"+F"}\" role=\"button\">\u003C\/a>\u003Cdiv class=\"uiSelector inlineBlock _510p\" data-jsid=\"dropdown\">\u003Cdiv class=\"uiToggle wrap\">\u003Ca data-hover=\"tooltip\" aria-label=\"Options\" data-tooltip-alignh=\"center\" class=\"button uiSelectorButton\" href=\"#\" data-ft=\"{"tn":"p"}\" role=\"button\" aria-haspopup=\"1\" rel=\"toggle\">\u003C\/a>\u003Cdiv class=\"uiSelectorMenuWrapper uiToggleFlyout\">\u003Cdiv role=\"menu\" class=\"uiMenu uiSelectorMenu\">\u003Cul class=\"uiMenuInner\">\u003Cli class=\"uiMenuItem\" data-label=\"See Full Conversation\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"0\" href=\"#\" data-jsid=\"conversationLink\">\u003Cspan class=\"itemLabel fsm\">See Full Conversation\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuItem\">\u003Cform data-jsid=\"attachButtonForm\" action=\"https:\/\/upload.facebook.com\/ajax\/mercury\/upload.php\" method=\"post\" onsubmit=\"return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)\" id=\"u_0_z\">\u003Cinput type=\"hidden\" name=\"fb_dtsg\" value=\"AQFcXAeFeVL6\" autocomplete=\"off\" \/>\u003Cinput type=\"hidden\" autocomplete=\"off\" data-jsid=\"attachID\" name=\"attach_id\" \/>\u003Cdiv class=\"_6a _m _4q60 itemLabel\">\u003Cinput type=\"file\" class=\"_n\" name=\"attachment[]\" multiple=\"1\" data-jsid=\"fileInput\" \/>\u003Ca class=\"_4q61 itemAnchor\">Add Files...\u003C\/a>\u003C\/div>\u003C\/form>\u003C\/li>\u003Cli class=\"uiMenuItem\" data-label=\"Add Friends to Chat...\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"addFriendLink\">\u003Cspan class=\"itemLabel fsm\">Add Friends to Chat...\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuItem\" data-label=\"Edit Conversation Name\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"nameConversationLink\">\u003Cspan class=\"itemLabel fsm\">Edit Conversation Name\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuSeparator\">\u003C\/li>\u003Cli class=\"uiMenuItem hidden_elem\" data-label=\"Mute Conversation...\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"muteThreadLink\">\u003Cspan class=\"itemLabel fsm\">Mute Conversation...\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuItem hidden_elem\" data-label=\"Unmute Conversation\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"unmuteThreadLink\">\u003Cspan class=\"itemLabel fsm\">Unmute Conversation\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuItem\" data-label=\"Leave Conversation...\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"unsubscribeLink\">\u003Cspan class=\"itemLabel fsm\">Leave Conversation...\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuSeparator\">\u003C\/li>\u003Cli class=\"uiMenuItem\" data-label=\"Create Group\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"createGroupLink\">\u003Cspan class=\"itemLabel fsm\">Create Group\u003C\/span>\u003C\/a>\u003C\/li>\u003C\/ul>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003Ca class=\"close button\" href=\"#\" data-jsid=\"titlebarCloseButton\" data-ft=\"{"tn":"+\\u003C"}\" role=\"button\">\u003C\/a>\u003C\/div>\u003Cdiv class=\"titlebarLabel clearfix\">\u003Ch4 class=\"titlebarTextWrapper\">\u003Cimg class=\"_51sn img\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/y4\/r\/-PAXP-deijE.gif\" data-jsid=\"presenceIndicator\" alt=\"\" width=\"1\" height=\"1\" \/>\u003Ca class=\"titlebarText noLink\" href=\"#\" rel=\"none\" data-jsid=\"titlebarText\" aria-level=\"3\" data-ft=\"{"tn":"C"}\" id=\"u_0_w\" role=\"button\">\u003C\/a>\u003C\/h4>\u003C\/div>\u003C\/div>\u003Cdiv class=\"fbNubFlyoutHeader\">\u003Cdiv class=\"_1sk5\">\u003Cdiv class=\"_1sk6 hidden_elem\" data-jsid=\"sheet\">\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"_1ia\">\u003Cdiv class=\"fbNubFlyoutBody scrollable\" data-jsid=\"chatConv\" data-ft=\"{"tn":"+L"}\">\u003Cdiv class=\"fbNubFlyoutBodyContent\">\u003Ctable class=\"uiGrid _51mz conversationContainer\" cellspacing=\"0\" cellpadding=\"0\" role=\"log\">\u003Ctbody>\u003Ctr class=\"_51mx\">\u003Ctd class=\"_51m- vBot _51mw\">\u003Cdiv class=\"accessible_elem\">Chat Conversation Start\u003C\/div>\u003Cimg class=\"pvm loading hidden_elem img\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/yb\/r\/GsNJNwuI-UM.gif\" alt=\"\" data-jsid=\"loadingIndicator\" width=\"16\" height=\"11\" \/>\u003Cdiv class=\"conversation\" aria-live=\"polite\" aria-atomic=\"false\" data-jsid=\"conversation\" id=\"u_0_x\">\u003C\/div>\u003Cdiv class=\"accessible_elem\">Chat Conversation End\u003C\/div>\u003Cdiv class=\"_51lq\" data-jsid=\"typingIndicator\">\u003C\/div>\u003Cdiv data-jsid=\"lastMessageIndicator\">\u003C\/div>\u003C\/td>\u003C\/tr>\u003C\/tbody>\u003C\/table>\u003C\/div>\u003C\/div>\u003Cdiv class=\"_4g6x\">\u003Cdiv class=\"_4g6y\">\u003Cdiv class=\"_4g6z _4g71\">Drag Link\/Files Here\u003C\/div>\u003Cdiv class=\"_4g6z _4g6- _4g6_\">Drop Files Here\u003C\/div>\u003Cdiv class=\"_4g6z _4g6- _4g70\">Drop Link Here\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"fbNubFlyoutFooter\">\u003Cdiv class=\"_552h\" data-jsid=\"inputContainer\">\u003Ctextarea class=\"uiTextareaAutogrow _552m\" data-jsid=\"input\" aria-controls=\"u_0_x\" data-ft=\"{"tn":"+N"}\" onkeydown=\"run_with(this, ["legacy:control-textarea"], function() {TextAreaControl.getInstance(this)});\">\u003C\/textarea>\u003C\/div>\u003Cdiv class=\"_552n\" data-jsid=\"iconsContainer\">\u003Cdiv class=\"_6a _552o\" data-jsid=\"photoUploaderContainer\">\u003C\/div>\u003Cdiv class=\"uiToggle emoticonsPanel\" data-jsid=\"emoticons\" data-ft=\"{"tn":"+O"}\">\u003Ca class=\"_5r8g\" href=\"#\" tabindex=\"-1\" rel=\"toggle\" role=\"button\">\u003Ci class=\"emoteTogglerImg img sp_zx-0ABL3iAw sx_e3f9ff\" title=\"Choose a sticker or emoticon\">\u003Cu>Choose a sticker or emoticon\u003C\/u>\u003C\/i>\u003Cspan data-jsid=\"nuxIndicator\">\u003C\/span>\u003Cspan class=\"tooltipNUXContainer\" data-jsid=\"tooltipNUXContainer\">\u003C\/span>\u003C\/a>\u003Cdiv class=\"panelFlyout _5r8f uiToggleFlyout\" data-jsid=\"stickersFlyout\">\u003Cdiv class=\"_5r8p\" data-jsid=\"stickers\">\u003Cdiv class=\"_5r8e\">\u003C\/div>\u003Cdiv class=\"_5r8m\">\u003Cdiv class=\"_5r8l hidden_elem\" data-id=\"emoticons\">\u003Ctable class=\"emoticonsTable\">\u003Ctbody>\u003Ctr>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_smile\" aria-label=\"smile\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_frown\" aria-label=\"frown\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_tongue\" aria-label=\"tongue\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_grin\" aria-label=\"grin\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_gasp\" aria-label=\"gasp\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_wink\" aria-label=\"wink\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_pacman\" aria-label=\"pacman\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003C\/tr>\u003Ctr>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_grumpy\" aria-label=\"grumpy\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_unsure\" aria-label=\"unsure\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_cry\" aria-label=\"cry\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_kiki\" aria-label=\"kiki\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_glasses\" aria-label=\"glasses\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_sunglasses\" aria-label=\"sunglasses\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_heart\" aria-label=\"heart\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003C\/tr>\u003Ctr>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_devil\" aria-label=\"devil\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_angel\" aria-label=\"angel\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_squint\" aria-label=\"squint\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_confused\" aria-label=\"confused\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_upset\" aria-label=\"upset\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_colonthree\" aria-label=\"colonthree\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_like\" aria-label=\"like\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003C\/tr>\u003C\/tbody>\u003C\/table>\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"panelFlyoutArrow\">\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"fbNubFlyoutAttachments\">\u003Cdiv class=\"chatAttachmentShelf\" data-jsid=\"attachmentShelf\">\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>"},4],["m_0_3k",{"__html":"\u003Cdiv class=\"fbNub _50-v _50mz _50m_\">\u003Ca class=\"fbNubButton\" tabindex=\"0\" href=\"#\" data-jsid=\"dockButton\" role=\"button\">\u003Cdiv class=\"clearfix fbChatTab\">\u003Cdiv class=\"funhouse rfloat _ohf\">\u003Cdiv class=\"close\" title=\"Close\" data-jsid=\"closeButton\">\u003C\/div>\u003C\/div>\u003Cdiv class=\"wrapWrapper\">\u003Cdiv class=\"wrap\">\u003Cdiv class=\"clearfix\">\u003Cspan class=\"_5ugh _5ugg hidden_elem _51jx hidden_elem lfloat _ohe\" data-jsid=\"numMessages\" id=\"u_0_12\">0\u003C\/span>\u003Cdiv class=\"name fwb\" data-jsid=\"name\">\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/a>\u003Cdiv class=\"fbNubFlyout fbDockChatTabFlyout uiContextualLayerParent\" data-jsid=\"chatWrapper\" role=\"complementary\" data-ft=\"{"tn":"+M"}\" aria-labelledby=\"u_0_10\">\u003Cdiv class=\"fbNubFlyoutOuter\">\u003Cdiv class=\"fbNubFlyoutInner\">\u003Cdiv class=\"clearfix fbNubFlyoutTitlebar titlebar\" data-jsid=\"nubFlyoutTitlebar\" data-ft=\"{"tn":"+J"}\">\u003Cdiv class=\"mls titlebarButtonWrapper rfloat _ohf\">\u003Ca data-hover=\"tooltip\" aria-label=\"Add more friends to chat\" class=\"addToThread button\" href=\"#\" data-jsid=\"addToThreadLink\" data-ft=\"{"tn":"+F"}\" role=\"button\">\u003C\/a>\u003Ca data-hover=\"tooltip\" aria-label=\"Start a video call\" class=\"videoicon button\" href=\"#\" data-jsid=\"videoCallLink\" data-gt=\"{"videochat":"call_clicked_chat_tab"}\" data-ft=\"{"tn":"+P"}\" role=\"button\">\u003C\/a>\u003Cdiv class=\"uiSelector inlineBlock _510p\" data-jsid=\"dropdown\">\u003Cdiv class=\"uiToggle wrap\">\u003Ca data-hover=\"tooltip\" aria-label=\"Options\" data-tooltip-alignh=\"center\" class=\"button uiSelectorButton\" href=\"#\" data-ft=\"{"tn":"p"}\" role=\"button\" aria-haspopup=\"1\" rel=\"toggle\">\u003C\/a>\u003Cdiv class=\"uiSelectorMenuWrapper uiToggleFlyout\">\u003Cdiv role=\"menu\" class=\"uiMenu uiSelectorMenu\">\u003Cul class=\"uiMenuInner\">\u003Cli class=\"uiMenuItem\" data-label=\"See Full Conversation\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"0\" href=\"#\" data-jsid=\"conversationLink\">\u003Cspan class=\"itemLabel fsm\">See Full Conversation\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuItem\">\u003Cform data-jsid=\"attachButtonForm\" action=\"https:\/\/upload.facebook.com\/ajax\/mercury\/upload.php\" method=\"post\" onsubmit=\"return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)\" id=\"u_0_13\">\u003Cinput type=\"hidden\" name=\"fb_dtsg\" value=\"AQFcXAeFeVL6\" autocomplete=\"off\" \/>\u003Cinput type=\"hidden\" autocomplete=\"off\" data-jsid=\"attachID\" name=\"attach_id\" \/>\u003Cdiv class=\"_6a _m _4q60 itemLabel\">\u003Cinput type=\"file\" class=\"_n\" name=\"attachment[]\" multiple=\"1\" data-jsid=\"fileInput\" \/>\u003Ca class=\"_4q61 itemAnchor\">Add Files...\u003C\/a>\u003C\/div>\u003C\/form>\u003C\/li>\u003Cli class=\"uiMenuItem\" data-label=\"Add Friends to Chat...\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"addFriendLink\">\u003Cspan class=\"itemLabel fsm\">Add Friends to Chat...\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuItem\" data-label=\"\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"privacyLink\">\u003Cspan class=\"itemLabel fsm\"> \u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuSeparator\">\u003C\/li>\u003Cli class=\"uiMenuItem hidden_elem\" data-label=\"Mute Conversation...\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"muteThreadLink\">\u003Cspan class=\"itemLabel fsm\">Mute Conversation...\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuItem hidden_elem\" data-label=\"Unmute Conversation\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"unmuteThreadLink\">\u003Cspan class=\"itemLabel fsm\">Unmute Conversation\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuItem\" data-label=\"Clear Window\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"clearWindowLink\">\u003Cspan class=\"itemLabel fsm\">Clear Window\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuSeparator\">\u003C\/li>\u003Cli class=\"uiMenuItem\" data-label=\"Report as Spam or Abuse...\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"reportSpamLink\">\u003Cspan class=\"itemLabel fsm\">Report as Spam or Abuse...\u003C\/span>\u003C\/a>\u003C\/li>\u003C\/ul>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003Ca class=\"close button\" href=\"#\" data-jsid=\"titlebarCloseButton\" data-ft=\"{"tn":"+\\u003C"}\" role=\"button\">\u003C\/a>\u003C\/div>\u003Cdiv class=\"titlebarLabel clearfix\">\u003Ch4 class=\"titlebarTextWrapper\">\u003Cimg class=\"_51sn img\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/y4\/r\/-PAXP-deijE.gif\" data-jsid=\"presenceIndicator\" alt=\"\" width=\"1\" height=\"1\" \/>\u003Ca class=\"titlebarText noLink\" href=\"#\" rel=\"none\" data-jsid=\"titlebarText\" aria-level=\"3\" data-ft=\"{"tn":"C"}\" id=\"u_0_10\" role=\"button\">\u003C\/a>\u003C\/h4>\u003C\/div>\u003C\/div>\u003Cdiv class=\"fbNubFlyoutHeader\">\u003Cdiv class=\"_1sk5\">\u003Cdiv class=\"_1sk6 hidden_elem\" data-jsid=\"sheet\">\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"_1ia\">\u003Cdiv class=\"fbNubFlyoutBody scrollable\" data-jsid=\"chatConv\" data-ft=\"{"tn":"+L"}\">\u003Cdiv class=\"fbNubFlyoutBodyContent\">\u003Ctable class=\"uiGrid _51mz conversationContainer\" cellspacing=\"0\" cellpadding=\"0\" role=\"log\">\u003Ctbody>\u003Ctr class=\"_51mx\">\u003Ctd class=\"_51m- vBot _51mw\">\u003Cdiv class=\"accessible_elem\">Chat Conversation Start\u003C\/div>\u003Cimg class=\"pvm loading hidden_elem img\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/yb\/r\/GsNJNwuI-UM.gif\" alt=\"\" data-jsid=\"loadingIndicator\" width=\"16\" height=\"11\" \/>\u003Cdiv class=\"conversation\" aria-live=\"polite\" aria-atomic=\"false\" data-jsid=\"conversation\" id=\"u_0_11\">\u003C\/div>\u003Cdiv class=\"accessible_elem\">Chat Conversation End\u003C\/div>\u003Cdiv class=\"_51lq\" data-jsid=\"typingIndicator\">\u003C\/div>\u003Cdiv data-jsid=\"lastMessageIndicator\">\u003C\/div>\u003C\/td>\u003C\/tr>\u003C\/tbody>\u003C\/table>\u003C\/div>\u003C\/div>\u003Cdiv class=\"_4g6x\">\u003Cdiv class=\"_4g6y\">\u003Cdiv class=\"_4g6z _4g71\">Drag Link\/Files Here\u003C\/div>\u003Cdiv class=\"_4g6z _4g6- _4g6_\">Drop Files Here\u003C\/div>\u003Cdiv class=\"_4g6z _4g6- _4g70\">Drop Link Here\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"fbNubFlyoutFooter\">\u003Cdiv class=\"_552h\" data-jsid=\"inputContainer\">\u003Ctextarea class=\"uiTextareaAutogrow _552m\" data-jsid=\"input\" aria-controls=\"u_0_11\" data-ft=\"{"tn":"+N"}\" onkeydown=\"run_with(this, ["legacy:control-textarea"], function() {TextAreaControl.getInstance(this)});\">\u003C\/textarea>\u003C\/div>\u003Cdiv class=\"_552n\" data-jsid=\"iconsContainer\">\u003Cdiv class=\"_6a _552o\" data-jsid=\"photoUploaderContainer\">\u003C\/div>\u003Cdiv class=\"uiToggle emoticonsPanel\" data-jsid=\"emoticons\" data-ft=\"{"tn":"+O"}\">\u003Ca class=\"_5r8g\" href=\"#\" tabindex=\"-1\" rel=\"toggle\" role=\"button\">\u003Ci class=\"emoteTogglerImg img sp_zx-0ABL3iAw sx_e3f9ff\" title=\"Choose a sticker or emoticon\">\u003Cu>Choose a sticker or emoticon\u003C\/u>\u003C\/i>\u003Cspan data-jsid=\"nuxIndicator\">\u003C\/span>\u003Cspan class=\"tooltipNUXContainer\" data-jsid=\"tooltipNUXContainer\">\u003C\/span>\u003C\/a>\u003Cdiv class=\"panelFlyout _5r8f uiToggleFlyout\" data-jsid=\"stickersFlyout\">\u003Cdiv class=\"_5r8p\" data-jsid=\"stickers\">\u003Cdiv class=\"_5r8e\">\u003C\/div>\u003Cdiv class=\"_5r8m\">\u003Cdiv class=\"_5r8l hidden_elem\" data-id=\"emoticons\">\u003Ctable class=\"emoticonsTable\">\u003Ctbody>\u003Ctr>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_smile\" aria-label=\"smile\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_frown\" aria-label=\"frown\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_tongue\" aria-label=\"tongue\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_grin\" aria-label=\"grin\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_gasp\" aria-label=\"gasp\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_wink\" aria-label=\"wink\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_pacman\" aria-label=\"pacman\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003C\/tr>\u003Ctr>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_grumpy\" aria-label=\"grumpy\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_unsure\" aria-label=\"unsure\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_cry\" aria-label=\"cry\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_kiki\" aria-label=\"kiki\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_glasses\" aria-label=\"glasses\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_sunglasses\" aria-label=\"sunglasses\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_heart\" aria-label=\"heart\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003C\/tr>\u003Ctr>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_devil\" aria-label=\"devil\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_angel\" aria-label=\"angel\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_squint\" aria-label=\"squint\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_confused\" aria-label=\"confused\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_upset\" aria-label=\"upset\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_colonthree\" aria-label=\"colonthree\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_like\" aria-label=\"like\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003C\/tr>\u003C\/tbody>\u003C\/table>\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"panelFlyoutArrow\">\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"fbNubFlyoutAttachments\">\u003Cdiv class=\"chatAttachmentShelf\" data-jsid=\"attachmentShelf\">\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>"},4],["m_0_3n",{"__html":"\u003Cdiv class=\"_510u\">\u003Cdiv class=\"_510v\">\u003C\/div>\u003C\/div>"},2],["m_0_3o",{"__html":"\u003Cdiv class=\"clearfix mvs\">\u003Ci class=\"rfloat _ohf img sp_zx-0ABL3iAw sx_949c58\" data-jsid=\"icon\">\u003C\/i>\u003Cdiv data-jsid=\"name\">\u003C\/div>\u003C\/div>"},2],["m_0_3p",{"__html":"\u003Cdiv>\u003Ca class=\"uiIconText _52i4\" href=\"#\" style=\"padding-left: 12px;\" data-jsid=\"forwardLink\" role=\"button\">\u003Ci class=\"img sp_gPysIaDCTmE sx_4de768\" style=\"top: 3px;\">\u003C\/i>\u003Cspan data-jsid=\"forwardText\">\u003C\/span>\u003C\/a>\u003C\/div>"},2],["m_0_3q",{"__html":"\u003Cabbr title=\"Thursday, January 1, 1970 at 4:30am\" data-utime=\"0\" class=\"hidden_elem timestamp\" data-jsid=\"timestamp\">over a year ago\u003C\/abbr>"},2],["m_0_3r",{"__html":"\u003Cdiv class=\"clearfix\">\u003Ci class=\"mrm _s0 _29h _29i _rw img sp_gPysIaDCTmE sx_4d92d8\" data-jsid=\"profilePhoto\">\u003C\/i>\u003Cdiv class=\"_29j _29k\">\u003Cdiv class=\"mbs fsl fwb fcb\" data-jsid=\"mainText\">\u003C\/div>\u003Cdiv class=\"aux-message fcg\" data-jsid=\"auxMessage\">Video will start as soon as you answer.\u003C\/div>\u003Cdiv class=\"mts hidden_elem fcg\" data-jsid=\"slowMessage\">\u003Cspan class=\"fwb fcb\">Having trouble?\u003C\/span> Your connection may be \u003Ca href=\"\/help\/214265948627885\" target=\"_blank\">too slow\u003C\/a>.\u003C\/div>\u003C\/div>\u003C\/div>"},2],["m_0_3s",{"__html":"\u003Cdiv class=\"mtm pam _4_wc attachment uiBoxGray\">\u003Cspan class=\"uiIconText MercuryThreadlistIconError\" data-jsid=\"error\">\u003Ci class=\"img sp_zx-0ABL3iAw sx_521634\">\u003C\/i>\u003C\/span>\u003C\/div>"},2],["m_0_3t",{"__html":"\u003Cdiv class=\"_59go\">\u003Cdiv class=\"clearfix MercuryExternalLink\">\u003Cdiv class=\"_rpb clearfix stat_elem lfloat _ohe\" data-jsid=\"preview\">\u003Ca class=\"_ksh\" aria-label=\"Uploaded\" data-jsid=\"image-link\" href=\"#\" role=\"img\" target=\"_blank\">\u003Cimg alt=\"\" data-jsid=\"preview-image\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/yw\/r\/drP8vlvSl_8.gif\" \/>\u003C\/a>\u003Cdiv data-jsid=\"progress-bar-container\" class=\"_5sly hidden_elem\">\u003Cdiv class=\"_5e4h _5e2k _5e2l\" data-jsid=\"progress-bar\" id=\"u_0_14\">\u003Cdiv class=\"_5e4k _5e2d\" style=\"width:0\u0025\">\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"_5uf0 hidden_elem\" data-jsid=\"cancel-button-container\">\u003Clabel class=\"uiCloseButton uiCloseButtonSmall uiCloseButtonSmallDark\" for=\"u_0_15\">\u003Cinput aria-label=\"Remove\" title=\"Remove\" type=\"button\" data-jsid=\"cancel-button\" id=\"u_0_15\" \/>\u003C\/label>\u003C\/div>\u003C\/div>\u003Cdiv class=\"MercuryLinkRight rfloat _ohf\">\u003Cdiv class=\"MercuryLinkTitle\">\u003Ca class=\"linkTitle\" target=\"_blank\" href=\"#\" data-jsid=\"name\" role=\"button\">\u003C\/a>\u003C\/div>\u003Cdiv class=\"fsm fwn fcg\" data-jsid=\"shortLink\">\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>"},3],["m_0_3w",{"__html":"\u003Cdiv class=\"_59go _59gq\">\u003Ca class=\"uiIconText _3tn\" href=\"#\" data-jsid=\"link\" role=\"button\">\u003Ci class=\"img sp_zx-0ABL3iAw sx_d99395\">\u003C\/i>\u003Cspan data-jsid=\"filename\" class=\"_59gp\">\u003C\/span>\u003C\/a>\u003C\/div>"},2],["m_0_3x",{"__html":"\u003Cdiv class=\"_59go _59gq\">\u003Cspan class=\"uiIconText _3tn\">\u003Ci class=\"img sp_zx-0ABL3iAw sx_d99395\">\u003C\/i>\u003Cspan data-jsid=\"filename\" class=\"filename\">\u003C\/span>\u003C\/span>\u003C\/div>"},2],["m_0_3y",{"__html":"\u003Cdiv class=\"_59go _59gq\">\u003Cdiv class=\"_59gs\">\u003Cdiv data-jsid=\"openLinkContainer\" class=\"_59gr hidden_elem\">\u003Ca class=\"_59hm\" href=\"#\" data-jsid=\"openFile\" role=\"button\">open\u003C\/a> \u00b7 \u003C\/div>\u003Ca class=\"_59hn\" href=\"#\" data-jsid=\"downloadFile\" role=\"button\">download\u003C\/a>\u003C\/div>\u003Ca class=\"uiIconText _3tn\" href=\"#\" data-jsid=\"link\" role=\"button\">\u003Ci class=\"img sp_zx-0ABL3iAw sx_d99395\">\u003C\/i>\u003Cspan class=\"_59gp\" data-jsid=\"filename\">\u003C\/span>\u003C\/a>\u003C\/div>"},2],["m_0_3z",{"__html":"\u003Cdiv class=\"musicAttachment\">\u003Cdiv class=\"_59go _59gq\" data-jsid=\"icon_link\">\u003Ca class=\"uiIconText _3tn\" href=\"#\" data-jsid=\"link\" role=\"button\">\u003Ci class=\"img sp_zx-0ABL3iAw sx_d99395\">\u003C\/i>\u003Cspan data-jsid=\"filename\" class=\"_59gp\">\u003C\/span>\u003C\/a>\u003C\/div>\u003Cdiv class=\"_rpb clearfix stat_elem\" data-jsid=\"preview\">\u003Ca class=\"_ksh\" aria-label=\"Uploaded\" data-jsid=\"image-link\" href=\"#\" role=\"img\" target=\"_blank\">\u003Cimg alt=\"\" data-jsid=\"preview-image\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/yw\/r\/drP8vlvSl_8.gif\" \/>\u003C\/a>\u003Cdiv data-jsid=\"progress-bar-container\" class=\"_5sly hidden_elem\">\u003Cdiv class=\"_5e4h _5e2k _5e2l\" data-jsid=\"progress-bar\" id=\"u_0_16\">\u003Cdiv class=\"_5e4k _5e2d\" style=\"width:0\u0025\">\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"_5uf0 hidden_elem\" data-jsid=\"cancel-button-container\">\u003Clabel class=\"uiCloseButton uiCloseButtonSmall uiCloseButtonSmallDark\" for=\"u_0_17\">\u003Cinput aria-label=\"Remove\" title=\"Remove\" type=\"button\" data-jsid=\"cancel-button\" id=\"u_0_17\" \/>\u003C\/label>\u003C\/div>\u003C\/div>\u003C\/div>"},3],["m_0_42",{"__html":"\u003Cdiv class=\"_rpb clearfix stat_elem\">\u003Ca class=\"_ksh\" aria-label=\"Uploaded\" data-jsid=\"image-link\" href=\"#\" role=\"img\" target=\"_blank\">\u003Cimg alt=\"\" data-jsid=\"preview-image\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/yw\/r\/drP8vlvSl_8.gif\" \/>\u003C\/a>\u003Cdiv data-jsid=\"progress-bar-container\" class=\"_5sly hidden_elem\">\u003Cdiv class=\"_5e4h _5e2k _5e2l\" data-jsid=\"progress-bar\" id=\"u_0_18\">\u003Cdiv class=\"_5e4k _5e2d\" style=\"width:0\u0025\">\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"_5uf0 hidden_elem\" data-jsid=\"cancel-button-container\">\u003Clabel class=\"uiCloseButton uiCloseButtonSmall uiCloseButtonSmallDark\" for=\"u_0_19\">\u003Cinput aria-label=\"Remove\" title=\"Remove\" type=\"button\" data-jsid=\"cancel-button\" id=\"u_0_19\" \/>\u003C\/label>\u003C\/div>\u003C\/div>"},3],["m_0_45",{"__html":"\u003Cdiv class=\"_59go\">\u003Ca data-jsid=\"link\" target=\"_blank\" href=\"#\" role=\"button\">\u003Cspan data-jsid=\"name\">\u003C\/span>\u003C\/a>\u003C\/div>"},2],["m_0_46",{"__html":"\u003Cdiv class=\"_59go\">\u003Cdiv class=\"MercuryEventShare\">\u003Cdiv class=\"MercuryEventSharePreview\">\u003Cdiv class=\"_rpb clearfix stat_elem\" data-jsid=\"preview\">\u003Ca class=\"_ksh\" aria-label=\"Uploaded\" data-jsid=\"image-link\" href=\"#\" role=\"img\" target=\"_blank\">\u003Cimg alt=\"\" data-jsid=\"preview-image\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/yw\/r\/drP8vlvSl_8.gif\" \/>\u003C\/a>\u003Cdiv data-jsid=\"progress-bar-container\" class=\"_5sly hidden_elem\">\u003Cdiv class=\"_5e4h _5e2k _5e2l\" data-jsid=\"progress-bar\" id=\"u_0_1a\">\u003Cdiv class=\"_5e4k _5e2d\" style=\"width:0\u0025\">\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"_5uf0 hidden_elem\" data-jsid=\"cancel-button-container\">\u003Clabel class=\"uiCloseButton uiCloseButtonSmall uiCloseButtonSmallDark\" for=\"u_0_1b\">\u003Cinput aria-label=\"Remove\" title=\"Remove\" type=\"button\" data-jsid=\"cancel-button\" id=\"u_0_1b\" \/>\u003C\/label>\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"MercuryEventShareTitle\">\u003Ca class=\"eventShareTitle\" target=\"_blank\" href=\"#\" data-jsid=\"name\" role=\"button\">\u003C\/a>\u003C\/div>\u003C\/div>\u003C\/div>"},3],["m_0_49",{"__html":"\u003Cdiv class=\"_59go\">\u003Cdiv data-jsid=\"post\">\u003C\/div>\u003C\/div>"},2],["m_0_4a",{"__html":"\u003Cdiv class=\"_59go\">\u003Ca class=\"uiVideoThumb videoPreview\" href=\"#\" data-jsid=\"thumb\" role=\"button\">\u003Cimg class=\"img\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/y4\/r\/-PAXP-deijE.gif\" alt=\"Play Video\" \/>\u003Ci>\u003C\/i>\u003C\/a>\u003C\/div>"},2],["m_0_4b",{"__html":"\u003Cdiv class=\"_2qh _2qe uploadFileRow\">\u003Cimg class=\"_2qf img\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/yb\/r\/GsNJNwuI-UM.gif\" alt=\"\" width=\"16\" height=\"11\" \/>\u003Cbutton value=\"1\" class=\"_42ft _5upp _50zy _2qg _50zz _50z-\" title=\"Remove\" aria-label=\"Remove file\" data-jsid=\"closeFileUpload\" type=\"submit\">Remove\u003C\/button>\u003Cdiv class=\"_4-te\">\u003Cspan class=\"uiIconText _3tn\" data-jsid=\"iconText\">\u003Ci class=\"img sp_zx-0ABL3iAw sx_d99395\">\u003C\/i>\u003C\/span>\u003C\/div>\u003C\/div>"},2],["m_0_4c",{"__html":"\u003Cdiv class=\"_2qh _2qe _5e52\">\u003Cimg class=\"_2qf img\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/yb\/r\/GsNJNwuI-UM.gif\" alt=\"\" width=\"16\" height=\"11\" \/>\u003Clabel class=\"_2qg uiCloseButton uiCloseButtonSmall uiCloseButtonSmallDark\" for=\"u_0_1c\">\u003Cinput aria-label=\"Remove\" title=\"Remove\" type=\"button\" data-jsid=\"closeFileUpload\" id=\"u_0_1c\" \/>\u003C\/label>\u003C\/div>"},2],["m_0_4d",{"__html":"\u003Cdiv class=\"mas pam uiBoxYellow\">\u003Cstrong>This message is no longer available\u003C\/strong> because it was identified as abusive or marked as spam.\u003C\/div>"},2],["m_0_4e",{"__html":"\u003Cdiv class=\"_542d\">\u003Ci class=\"img sp_F6Afu2XGiZY sx_79ea22\">\u003C\/i>\u003Cspan class=\"_55r7\">Failed to send\u003C\/span>\u003C\/div>"},2],["m_0_4f",{"__html":"\u003Cdiv class=\"_542d\">\u003Cimg class=\"img\" 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class=\"_42ft _5upp _50zy _5xsl rfloat _ohf _50-0 _50z-\" title=\"Close\" type=\"submit\">Close\u003C\/button>\u003Cdiv>You will no longer get notifications for this story.\u003C\/div>\u003C\/div>\u003Ca class=\"_1f89\" ajaxify=\"\/ajax\/litestand\/follow_post?message_id=10203560562249011&follow=1\" href=\"#\" rel=\"async-post\" role=\"button\">Get Notifications\u003C\/a>\u003C\/div>\u003C\/div>"},"unfollow_post":{"__html":"\u003Cdiv class=\"_1f86 _5wvy\">\u003Cdiv class=\"_5ww7 _5w_i _5ww9\">\u003Cdiv class=\"clearfix\">\u003Cbutton value=\"1\" class=\"_42ft _5upp _50zy _5xsl rfloat _ohf _50-0 _50z-\" title=\"Close\" type=\"submit\">Close\u003C\/button>\u003Cdiv>You will get a notification whenever someone comments on this story.\u003C\/div>\u003C\/div>\u003Ca class=\"_1f89\" ajaxify=\"\/ajax\/litestand\/follow_post?message_id=10203560562249011&follow=0\" href=\"#\" rel=\"async-post\" role=\"button\">Stop 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class=\"_42ft _5upp _50zy _5xsl rfloat _ohf _50-0 _50z-\" title=\"Close\" type=\"submit\">Close\u003C\/button>\u003Cdiv>You will no longer get notifications for this story.\u003C\/div>\u003C\/div>\u003Ca class=\"_1f89\" ajaxify=\"\/ajax\/litestand\/follow_post?message_id=10203560535808350&follow=1\" href=\"#\" rel=\"async-post\" role=\"button\">Get Notifications\u003C\/a>\u003C\/div>\u003C\/div>"},"unfollow_post":{"__html":"\u003Cdiv class=\"_1f86 _5wvy\">\u003Cdiv class=\"_5ww7 _5w_i _5ww9\">\u003Cdiv class=\"clearfix\">\u003Cbutton value=\"1\" class=\"_42ft _5upp _50zy _5xsl rfloat _ohf _50-0 _50z-\" title=\"Close\" type=\"submit\">Close\u003C\/button>\u003Cdiv>You will get a notification whenever someone comments on this story.\u003C\/div>\u003C\/div>\u003Ca class=\"_1f89\" ajaxify=\"\/ajax\/litestand\/follow_post?message_id=10203560535808350&follow=0\" href=\"#\" rel=\"async-post\" role=\"button\">Stop 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class=\"_42ft _5upp _50zy _5xsl rfloat _ohf _50-0 _50z-\" title=\"Close\" type=\"submit\">Close\u003C\/button>\u003Cdiv>You will no longer get notifications for this story.\u003C\/div>\u003C\/div>\u003Ca class=\"_1f89\" ajaxify=\"\/ajax\/litestand\/follow_post?message_id=10203560704692572&follow=1\" href=\"#\" rel=\"async-post\" role=\"button\">Get Notifications\u003C\/a>\u003C\/div>\u003C\/div>"},"unfollow_post":{"__html":"\u003Cdiv class=\"_1f86 _5wvy\">\u003Cdiv class=\"_5ww7 _5w_i _5ww9\">\u003Cdiv class=\"clearfix\">\u003Cbutton value=\"1\" class=\"_42ft _5upp _50zy _5xsl rfloat _ohf _50-0 _50z-\" title=\"Close\" type=\"submit\">Close\u003C\/button>\u003Cdiv>You will get a notification whenever someone comments on this story.\u003C\/div>\u003C\/div>\u003Ca class=\"_1f89\" ajaxify=\"\/ajax\/litestand\/follow_post?message_id=10203560704692572&follow=0\" href=\"#\" rel=\"async-post\" role=\"button\">Stop 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class=\"_42ft _5upp _50zy _5xsl rfloat _ohf _50-0 _50z-\" title=\"Close\" type=\"submit\">Close\u003C\/button>\u003Cdiv>You will no longer get notifications for this story.\u003C\/div>\u003C\/div>\u003Ca class=\"_1f89\" ajaxify=\"\/ajax\/litestand\/follow_post?message_id=4445359627443&follow=1\" href=\"#\" rel=\"async-post\" role=\"button\">Get Notifications\u003C\/a>\u003C\/div>\u003C\/div>"},"unfollow_post":{"__html":"\u003Cdiv class=\"_1f86 _5wvy\">\u003Cdiv class=\"_5ww7 _5w_i _5ww9\">\u003Cdiv class=\"clearfix\">\u003Cbutton value=\"1\" class=\"_42ft _5upp _50zy _5xsl rfloat _ohf _50-0 _50z-\" title=\"Close\" type=\"submit\">Close\u003C\/button>\u003Cdiv>You will get a notification whenever someone comments on this story.\u003C\/div>\u003C\/div>\u003Ca class=\"_1f89\" ajaxify=\"\/ajax\/litestand\/follow_post?message_id=4445359627443&follow=0\" href=\"#\" rel=\"async-post\" role=\"button\">Stop 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href="https://www.facebook.com/#" role="button">Other<span class="_1sdj _1sdh">(7)</span></a></div></h3></div></div></div><div class="uiScrollableArea fade uiScrollableAreaWithShadow contentAfter" style="width:430px;height:325px;" id="MercuryJewelThreadList"><div class="uiScrollableAreaWrap scrollable" aria-label="Scrollable region" role="group" tabindex="0"><div class="uiScrollableAreaBody" style="width:430px;"><div class="uiScrollableAreaContent"><ul class="uiList jewelItemList jewelHighlight _4kg _6-h _6-j _4kt"><li><div class="jewelContent"><div><li><a class="messagesContent" href="https://www.facebook.com/messages/1139985295" role="button"><div class="clearfix"><div class="MercuryThreadImage _8o _8s lfloat _ohe"><div size="50" class="_55lt" style="width:50px;height:50px;" data-reactid=".95"><img src="./ui_files/10299025_10202318315376161_759402747325881289_n.jpg" width="50" height="50" alt="" class="img" data-reactid=".95.0"></div></div><div class="clearfix _42ef"><div class="snippetThumbnail rfloat _ohf"><span class="_56hv hidden_elem"><i style="background-image: url(/images/blank.gif);"></i></span><span class="hidden_elem"><span class="_56hy"></span><span class="_56hv"><i style="background-image: url(/images/blank.gif);"></i></span></span></div><div class="content fsm fwn fcg"><div class="author"><strong>Satya Prakash</strong><span class="presenceIndicator presenceListener_1139985295"></span></div><div class="snippet preview fsm fwn fcg"><span><span class="MercuryRepliedIndicator seenByListener"></span><span class="MercuryAttachmentIndicator"></span>ui</span></div><div class="time"><abbr title="Today" data-utime="1406494743.002" class="timestamp">2:29am</abbr></div></div></div></div><div class="x_div"><div class="_5c9q" data-hover="tooltip" aria-label="Mark as Unread"></div></div></a></li><li class="jewelItemNew"><a class="messagesContent" href="https://www.facebook.com/messages/750680493" role="button"><div class="clearfix"><div 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class="timestamp">12:57pm</abbr></div></div></div></div><div class="x_div"><div class="_5c9q" data-hover="tooltip" aria-label="Mark as Read"></div></div></a></li><li class="jewelItemNew"><a class="messagesContent" href="https://www.facebook.com/messages/1836900805" role="button"><div class="clearfix"><div class="MercuryThreadImage _8o _8s lfloat _ohe"><div size="50" class="_55lt" style="width:50px;height:50px;" data-reactid=".97"><img src="./ui_files/1425715_10200166512685669_876894750_n.jpg" width="50" height="50" alt="" class="img" data-reactid=".97.0"></div></div><div class="clearfix _42ef"><div class="snippetThumbnail rfloat _ohf"><span class="_56hv hidden_elem"><i style="background-image: url(/images/blank.gif);"></i></span><span class="hidden_elem"><span class="_56hy"></span><span class="_56hv"><i style="background-image: url(/images/blank.gif);"></i></span></span></div><div class="content fsm fwn fcg"><div class="author"><strong><span>Ramanagoud Parakanalli (2)</span></strong><span class="presenceIndicator presenceListener_1836900805"></span></div><div class="snippet preview fsm fwn fcg"><span><span class="MercuryRepliedIndicator seenByListener"></span><span class="_1az _1a- _2gn"></span></span></div><div class="time"><abbr title="Thursday" data-utime="1406222572.291" class="timestamp">Thu</abbr></div></div></div></div><div class="x_div"><div class="_5c9q" data-hover="tooltip" aria-label="Mark as Read"></div></div></a></li><li><a class="messagesContent" href="https://www.facebook.com/messages/607733450" role="button"><div class="clearfix"><div class="MercuryThreadImage _8o _8s lfloat _ohe"><div size="50" class="_55lt" style="width:50px;height:50px;" data-reactid=".98"><img src="./ui_files/10489982_10152342663828451_1700033478094368756_n.jpg" width="50" height="50" alt="" class="img" data-reactid=".98.0"></div></div><div class="clearfix _42ef"><div class="snippetThumbnail rfloat _ohf"><span class="_56hv hidden_elem"><i style="background-image: url(/images/blank.gif);"></i></span><span class="hidden_elem"><span class="_56hy"></span><span class="_56hv"><i style="background-image: url(/images/blank.gif);"></i></span></span></div><div class="content fsm fwn fcg"><div class="author"><strong>Saumya Verma</strong><span class="presenceIndicator presenceListener_607733450"></span></div><div class="snippet preview fsm fwn fcg"><span><span class="MercuryRepliedIndicator seenByListener"></span>Mai bhi theek hu <span class="emoticon_text" aria-hidden="true">:)</span><span title=":)" class="emoticon emoticon_smile"></span></span></div><div class="time"><abbr title="Thursday" data-utime="1406220131.646" class="timestamp">Thu</abbr></div></div></div></div><div class="x_div"><div class="_5c9q" data-hover="tooltip" aria-label="Mark as Unread"></div></div></a></li><li><a class="messagesContent" href="https://www.facebook.com/messages/504153371" role="button"><div class="clearfix"><div class="MercuryThreadImage _8o _8s lfloat _ohe"><div size="50" class="_55lt" style="width:50px;height:50px;" data-reactid=".99"><img src="./ui_files/994470_10152207885323372_6403415396523104172_n.jpg" width="50" height="50" alt="" class="img" data-reactid=".99.0"></div></div><div class="clearfix _42ef"><div class="snippetThumbnail rfloat _ohf"><span class="_56hv hidden_elem"><i style="background-image: url(/images/blank.gif);"></i></span><span class="hidden_elem"><span class="_56hy"></span><span class="_56hv"><i style="background-image: url(/images/blank.gif);"></i></span></span></div><div class="content fsm fwn fcg"><div class="author"><strong>Sneha Choudhary</strong><span class="presenceIndicator presenceListener_504153371"></span></div><div class="snippet preview fsm fwn fcg"><span><span class="MercuryRepliedIndicator seenByListener repliedLast"></span>Hi Sneha..</span></div><div class="time"><abbr title="Wednesday" data-utime="1406128422.486" class="timestamp">Wed</abbr></div></div></div></div><div class="x_div"><div class="_5c9q" data-hover="tooltip" aria-label="Mark as Unread"></div></div></a></li><li><a class="messagesContent" href="https://www.facebook.com/messages/537165995" role="button"><div class="clearfix"><div class="MercuryThreadImage _8o _8s lfloat _ohe"><div size="50" class="_55lt" style="width:50px;height:50px;" data-reactid=".9a"><img src="./ui_files/10505425_10152557839315996_7475969937511343698_n.jpg" width="50" height="50" alt="" class="img" data-reactid=".9a.0"></div></div><div class="clearfix _42ef"><div class="snippetThumbnail rfloat _ohf"><span class="_56hv hidden_elem"><i style="background-image: url(/images/blank.gif);"></i></span><span class="hidden_elem"><span class="_56hy"></span><span class="_56hv"><i style="background-image: url(/images/blank.gif);"></i></span></span></div><div class="content fsm fwn fcg"><div class="author"><strong>Himangshu Jyoti Hazarika</strong><span class="presenceIndicator presenceListener_537165995"></span></div><div class="snippet preview fsm fwn fcg"><span><span class="MercuryRepliedIndicator seenByListener repliedLast"></span>Sure</span></div><div class="time"><abbr title="Monday" data-utime="1405939497.645" class="timestamp">Mon</abbr></div></div></div></div><div class="x_div"><div class="_5c9q" data-hover="tooltip" aria-label="Mark as Unread"></div></div></a></li></div></div><img class="jewelLoading img hidden_elem" src="./ui_files/GsNJNwuI-UM.gif" alt="" width="16" height="11"></li></ul><div class="clearfix uiMorePager stat_elem _8y5 uiMorePagerLight _52jv"><div><a class="pam uiBoxWhite topborder _8y6 uiMorePagerPrimary" rel="async" href="https://www.facebook.com/#" role="button">Show Older<i class="mts mls arrow img sp_6H68Ux8tLRN sx_5fa4eb"></i></a><span class="uiMorePagerLoader pam uiBoxWhite topborder _8y6"><img class="img" src="./ui_files/GsNJNwuI-UM.gif" alt="" width="16" height="11"></span></div></div></div></div></div><div class="uiScrollableAreaTrack" style="opacity: 0;"><div class="uiScrollableAreaGripper" style="height: 270.2720207253886px; top: 0px;"></div></div></div><div id="MercuryJewelFooter"><div class="jewelFooter"><a class="seeMore" href="https://www.facebook.com/messages/" accesskey="4"><span>See All</span></a></div></div></div></div><div class="uiToggle _4962 _4xi2 west" id="fbNotificationsJewel"><a class="jewelButton" aria-labelledby="notificationsCountWrapper" href="https://www.facebook.com/#" rel="toggle" role="button" name="notifications" data-gt="{"ua_id":"jewel:notifications"}" data-target="fbNotificationsFlyout" aria-haspopup="true" aria-owns="fbNotificationsFlyout"><i class="jewelButtonHcm img sp_zx-0ABL3iAw sx_9bd663"></i><span class="jewelCount"><span class="_5ugh _3z_5 hidden_elem" id="notificationsCountValue">0</span><i class="accessible_elem"> Notifications</i></span></a><div id="fbNotificationsFlyout" class="__tw toggleTargetClosed _4xi1 uiToggleFlyout"><div class="jewelBeeperHeader"><div class="beeperNubWrapper"><div class="beeperNub"></div></div></div><div class="uiHeader uiHeaderBottomBorder jewelHeader"><div class="clearfix uiHeaderTop"><div class="rfloat _ohf"><h3 class="accessible_elem">Notifications</h3><div class="uiHeaderActions fsm fwn fcg"><a href="https://www.facebook.com/#" role="button" id="u_0_4">Mark as Read</a> · <a href="https://www.facebook.com/settings?tab=notifications§ion=on_facebook" target="_blank">Settings</a></div></div><div><h3 class="uiHeaderTitle" aria-hidden="true">Notifications</h3></div></div></div><div class="_33p"><div id="u_0_5"><div class="_50-t" data-reactid=".y"><div width="430" class="uiScrollableArea fade uiScrollableAreaWithShadow" data-reactid=".y.0" height="464" style="height: 420px;"><div class="uiScrollableAreaWrap scrollable" data-reactid=".y.0.0"><div class="uiScrollableAreaBody" data-reactid=".y.0.0.0" style="width: 430px;"><div class="uiScrollableAreaContent" data-reactid=".y.0.0.0.0"><ul data-gt="{"ref":"notif_jewel","jewel":"notifications"}" 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lfloat" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0.2.$left"><img class="img _8o _8r _10cu" src="./ui_files/10173495_757386157627424_390424487_n(1).png" alt="" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0.2.$left.0"></div><div class="" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0.2.$right"><div class="_42ef _8u" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0.2.$right.0"><span data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0.2.$right.0.0"><abbr class="_33g livetimestamp" title="Sunday, July 27, 2014 at 8:22pm" data-utime="1406472721" data-shorten="true" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.0.0.$right.0.0.$left.0.0.2.$right.0.0.0">6 hrs</abbr></span></div></div></div></div></div></div></div></div></div></div></a><a href="https://www.facebook.com/#" class="_55m9 _5c9q" role="button" aria-label="Mark as Read" data-hover="tooltip" data-tooltip-alignh="center" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.1"></a><a class="_4ah _55m9 uiCloseButton" data-gt="{"alert_id":143461067,"app_id":210831918949520,"unread":2,"context_id":210831918949520,"from_uids":{"558221377":"558221377","666916153":"666916153"},"notif_type":"app_invite","fbsource":1001,"type":"click2canvas","ref":"notif_jewel","request_fbids":[767270659962680,1448786102054294],"negative_feedback":"negative_click"}" href="https://www.facebook.com/#" role="button" aria-label="Turn Off" data-hover="tooltip" data-tooltip-alignh="center" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.2"><img class="uiCloseButtonHighContrast img" src="./ui_files/close.png" data-reactid=".y.0.0.0.0.0.$100000590753545=2143461067:0.0.2.0"></a></div></li></ul><img src="./ui_files/indicator_blue_small.gif" class="_33i" data-reactid=".y.0.0.0.0.1"></div></div></div><div class="uiScrollableAreaTrack invisible_elem"><div class="uiScrollableAreaGripper hidden_elem"></div></div></div></div></div></div><div class="jewelFooter" id="u_0_6"><a class="seeMore" href="https://www.facebook.com/notifications" accesskey="5"><span>See All</span></a></div></div></div></div></li><li class="navItem middleItem _5cop _55bh" id="navPrivacy"><div class="uiToggle _8-a _4962" id="u_0_8"><a data-onclick="[["PrivacyLiteFlyout","loadBody"]]" class="_59fc _1ayn" aria-labelledby="privacyFlyoutLabel" href="https://www.facebook.com/#" rel="toggle" role="button" aria-haspopup="true" aria-owns="u_0_7"><div class="_59fb" id="privacyFlyoutLabel"><i class="accessible_elem">Privacy Shortcuts</i></div></a><div class="_8-b __tw toggleTargetClosed uiToggleFlyout" id="u_0_7"><div class="jewelBeeperHeader"><div class="beeperNubWrapper"><div class="beeperNub"></div></div></div><div class="uiHeader uiHeaderBottomBorder _26y1"><div class="clearfix uiHeaderTop"><div class="rfloat _ohf"><h3 class="accessible_elem">Privacy Shortcuts</h3><a class="_d1r uiHeaderActions" href="https://www.facebook.com/#" role="button"><i class="img sp_xFwBv1W8Ynk sx_681f1a"><u>Search</u></i></a></div><div><h3 class="uiHeaderTitle" aria-hidden="true">Privacy Shortcuts</h3></div></div></div><div id="fbPrivacyLiteFlyoutLoading"><img class="_26y2 img" src="./ui_files/GsNJNwuI-UM.gif" alt="" width="16" height="11"></div><div class="_bxv"><div class="_awf"><a class="_awi" href="https://www.facebook.com/#" role="button" id="u_0_9"><i class="default img sp_gPysIaDCTmE sx_ab490d"></i></a><span class="uiSearchInput _awh" id="u_0_a"><span><input type="text" class="inputtext DOMControl_placeholder" maxlength="100" aria-label="Search" name="query" placeholder="Search for help" autocomplete="off" value="Search for help"><button type="submit" title="Search for help"><span class="accessible_elem">Search for help</span></button></span></span><a class="_awj hidden_elem" href="https://www.facebook.com/#" role="button" id="u_0_b"></a></div><div class="_awg"><div class="_awk hidden_elem" id="u_0_h"></div><div class="_awl hidden_elem" id="u_0_i"><img class="img" src="./ui_files/jKEcVPZFk-2.gif" alt="" width="32" height="32"></div></div></div><div class="_4_8m"></div><div class="_26y3"><a class="_5cw0" href="https://www.facebook.com/settings/?tab=privacy&privacy_source=privacy_lite">See More Settings</a><a class="_5cw1" href="https://www.facebook.com/help/?ref=privacy_lite" target="_blank">Visit Help Center</a></div></div></div></li><li class="_3tmp" id="u_0_j"><a class="_1xn5 _1ayn" id="pageLoginAnchor" href="https://www.facebook.com/editaccount.php?ref=mb&drop" rel="toggle" role="button" aria-haspopup="true" aria-controls="userNavigation" aria-labelledby="userNavigationLabel"><div class="_50__" id="userNavigationLabel">Account Settings</div></a><div class="navigation" id="userNavigation" role="menu navigation" aria-label="Account Menu"><div class="jewelBeeperHeader"><div class="beeperNubWrapper"><div class="beeperNub"></div></div></div><ul><li role="menuitem"><a class="navSubmenu" href="https://www.facebook.com/pages/create/?ref_type=logout_gear">Create Page</a></li><li class="menuDivider"></li><li role="menuitem"><a class="navSubmenu" href="https://www.facebook.com/campaign/landing.php?placement=tcr&campaign_id=276899725739312&extra_1=auto">Create Ads</a></li><li role="menuitem"><a class="navSubmenu" href="https://www.facebook.com/campaign/landing.php?placement=tad&campaign_id=264263327005748&extra_1=auto">Advertising on Facebook</a></li><li class="menuDivider"></li><li role="menuitem"><a class="navSubmenu" accesskey="7" href="https://www.facebook.com/mayur.kumar.77/allactivity?privacy_source=activity_log_top_menu"><div class="clearfix"><div class="lfloat _ohe">Activity Log</div><span class="count _5wk0 mls rfloat _ohf uiSideNavCount uiSideNavCountInline"><span class="countValue fss">60</span></span></div></a></li><li role="menuitem"><a class="navSubmenu" href="https://www.facebook.com/settings" accesskey="6">Settings</a></li><li id="user_chooser_settings_menu_replaceme" class="hidden_elem"></li><li role="menuitem"><form id="logout_form" method="post" action="https://www.facebook.com/logout.php" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="fb_dtsg" value="AQFcXAeFeVL6" autocomplete="off"><input type="hidden" autocomplete="off" name="ref" value="mb"><input type="hidden" autocomplete="off" name="h" value="AfdveCfCYR9jrhoC"><label class="uiLinkButton navSubmenu"><input class="uiLinkButtonInput" type="submit" value="Log Out"></label></form></li><li class="menuDivider"></li><li role="menuitem"><a class="navSubmenu" href="https://www.facebook.com/help/?ref=drop" id="navHelpCenter" target="_blank" ajaxify="/help/ajax/contextual/?page_type=364455653583099" rel="async"><div class="clearfix"><div class="lfloat _ohe">Help</div><img class="rfloat _ohf uiLoadingIndicatorAsync img" src="./ui_files/GsNJNwuI-UM.gif" alt="" width="16" height="11"></div></a></li><li role="menuitem"><a class="navSubmenu" ajaxify="/help/ajax/report_a_problem" rel="dialog" href="https://www.facebook.com/#" role="button">Report a Problem</a></li></ul></div></li></ul></div><div class="_585-" role="search"><i class="_585_"></i><div class="uiTypeahead _5860" data-ft="{"tn":"+Q"}" id="u_0_d"><div class="wrap"><input type="hidden" autocomplete="off" class="hiddenInput"><div class="innerWrap"><div class="_5861 textInput _586g _586p focus_target" id="u_0_e" style="font-size: 14px;"><div class="_586j">Search for people, places and things</div><div class="_586k hidden_elem"></div><input type="text" class="inputtext _586f DOMControl_placeholder hidden_elem" name="q" value="Search for people, places and things" autocomplete="off" onfocus="Bootloader.loadModules(["FacebarTypeaheadNavigation","FacebarTypeaheadDecorateEntities","FacebarTypeaheadDisambiguateResults","FacebarTypeaheadSeeMoreSerp","FacebarTypeaheadSizeAdjuster","FacebarTypeaheadShortcut","FacebarTypeaheadQuickSelect","FacebarTypeaheadAutoWidth","FacebarTypeaheadMagGo","FacebarTypeaheadSelectAll","FacebarTypeaheadPrefixLengthOrderedCache","FacebarTypeaheadRecorderBasic","FacebarTypeaheadHashtagResult","FacebarTypeaheadSearchMap","FacebarTypeaheadCore","FacebarTypeaheadView","FacebarDataSource","FacebarTypeahead"], emptyFunction);" placeholder="Search for people, places and things" aria-label="Search for people, places and things" tabindex="-1"><div class="_586i" onfocus="Bootloader.loadModules(["FacebarTypeaheadNavigation","FacebarTypeaheadDecorateEntities","FacebarTypeaheadDisambiguateResults","FacebarTypeaheadSeeMoreSerp","FacebarTypeaheadSizeAdjuster","FacebarTypeaheadShortcut","FacebarTypeaheadQuickSelect","FacebarTypeaheadAutoWidth","FacebarTypeaheadMagGo","FacebarTypeaheadSelectAll","FacebarTypeaheadPrefixLengthOrderedCache","FacebarTypeaheadRecorderBasic","FacebarTypeaheadHashtagResult","FacebarTypeaheadSearchMap","FacebarTypeaheadCore","FacebarTypeaheadView","FacebarDataSource","FacebarTypeahead"], emptyFunction);" role="textbox" aria-autocomplete="list" aria-expanded="false" aria-owns="js_0" aria-haspopup="true" contenteditable="true" spellcheck="false" tabindex="1"></div><input type="text" tabindex="-1" style="position: absolute; top: 0px; left: -100px; width: 1px; height: 1px;"></div></div></div></div></div></div></div></div><div class="_7fw"><div class="_7fz" id="u_0_k"></div><div class="_7fx"></div></div><div class="pagesVoiceBar"><div id="pagesVoiceBarContent"></div><div id="pagesVoiceBarShadow"></div></div></div></div></div><div id="globalContainer" class="uiContextualLayerParent"><div id="content" class="fb_content clearfix"><div><div id="toolbarContainer" class="hidden_elem"><div id="toolbarContainer" class="hidden_elem"></div></div><div id="mainContainer"><div id="leftCol"><div id="pagelet_welcome_box" data-referrer="pagelet_welcome_box"><div class="clearfix fbxWelcomeBox litestandClassicWelcomeBox" data-gt="{"ref":"bookmarks"}"><a class="fbxWelcomeBoxBlock _8o _8s lfloat _ohe" aria-hidden="true" data-gt="{"bmid":100000590753545,"count":0,"bookmark_type":"type_self_timeline"}" href="https://www.facebook.com/mayur.kumar.77" tabindex="-1"><img class="_s0 fbxWelcomeBoxImg _rw img" src="./ui_files/10492488_855847354444948_8753844995165142862_n.jpg" alt="" id="profile_pic_welcome_100000590753545"></a><div class="_42ef"><div class="_6a prs"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><a class="fbxWelcomeBoxName" data-gt="{"bmid":100000590753545,"count":0,"bookmark_type":"type_self_timeline"}" href="https://www.facebook.com/mayur.kumar.77">Mayur Kumar</a><a href="https://www.facebook.com/mayur.kumar.77?sk=info&edit=eduwork&ref=home_edit_profile">Edit Profile</a></div></div></div></div></div><div id="pagelet_navigation" data-referrer="pagelet_navigation"><div class="_5plv"><div aria-label="Apps" role="navigation" class="uiFutureSideNav" data-gt="{"ref":"bookmarks"}" id="sideNav" data-ft="{"tn":"+H"}"><div id="pagelet_pinned_nav" data-referrer="pagelet_pinned_nav"><div class="homeSideNav" id="pinnedNav"><h4 class="navHeader accessible_elem">FAVORITES</h4><div class="mts mbm droppableNav"><ul class="uiSideNav" data-gt="{"nav_items_count":"3","nav_section":"pinnedNav","bm_sec":"pinnedNav"}"><li class="sideNavItem stat_elem selectedItem open" data-bookmarkid="4748854339" id="navItem_app_4748854339"><div class="_6a uiPopover uiSideNavAux" id="u_0_3n"><a class="_2jq5 _p" aria-label="Sort options" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_3o"></a></div><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_3q"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit News Feed" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_3r"></a></div></div><a class="item clearfix" href="https://www.facebook.com/?sk=nf" title="News Feed" data-gt="{"bmid":"4748854339","count":"0","bookmark_type":"type_newsfeed","rank":"1"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_2b1c6e"></i></span><div class="linkWrap noCount">News Feed</div></div></a></li><li class="sideNavItem stat_elem" data-bookmarkid="217974574879787" id="navItem_app_217974574879787"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_3k"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Messages" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_3l"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/messages/" title="Messages" data-gt="{"bmid":"217974574879787","count":"39","bookmark_type":"type_facebook_app","rank":"2"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">38</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_e0e00d"></i></span><div class="linkWrap hasCount">Messages</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="2344061033" id="navItem_app_2344061033"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_3t"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Events" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_3u"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/events/list?ref=46" title="Events" data-gt="{"bmid":"2344061033","count":"1","bookmark_type":"type_facebook_app","rank":"3"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">1</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_QJMnTnphIUg sx_f54935"></i></span><div class="linkWrap hasCount">Events</div></div></a><span class="mover hidden_elem"></span></li></ul><div class="actionLinks stat_elem"><a class="navEditDone" href="https://www.facebook.com/#" data-endpoint="/ajax/bookmark/edit/" role="button"><span class="navEdit">Edit</span><span class="navDone">Done</span></a><span class="img _55ym _55yn _55yo loadingIndicator" aria-label="Loading..." aria-busy="1"></span></div></div></div></div><div id="pagelet_bookmark_nav" data-referrer="pagelet_bookmark_nav"><div><div class="homeSideNav" id="groupsNav" data-ft="{"tn":"+X"}"><h4 class="navHeader"><a href="https://www.facebook.com/browsegroups/?category=membership&ref=bookmark_header"><div class="clearfix"><div class="lfloat _ohe">GROUPS</div><span class="mrm rfloat _ohf"><div class="bookmarksNavSeeAll">More</div><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span></span></div></a></h4><ul class="uiSideNav mts mbm nonDroppableNav" data-ft="{"tn":"+X"}" data-gt="{"nav_items_count":"14","nav_section":"groupsNav","bm_sec":"groupsNav"}"><li class="sideNavItem stat_elem" data-bookmarkid="697850363602950" id="navItem_group_697850363602950"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_52"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit lets do it guys ;)" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_53"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/697850363602950/" title="lets do it guys ;)" data-gt="{"bmid":"697850363602950","count":"7","bookmark_type":"type_group","rank":"1"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">7</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><img class="img" src="./ui_files/_9rFHMj4DIY.png" alt="" width="16" height="16"></span><div class="linkWrap hasCount">lets do it guys ;)</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="1486334851608134" id="navItem_group_1486334851608134"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_4b"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit राष्ट्रकवि रामधारी सिंह "दिनकर"" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_4c"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/1486334851608134/" title="राष्ट्रकवि रामधारी सिंह "दिनकर"" data-gt="{"bmid":"1486334851608134","count":"7","bookmark_type":"type_group","rank":"2"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">7</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_7ce2bb"></i></span><div class="linkWrap hasCount">राष्ट्रकवि रामधारी सिंह "दिनकर"</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="458089457642810" id="navItem_group_458089457642810"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_4e"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit MDI Job Referrals" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_4f"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/mdigurgaon/" title="MDI Job Referrals" data-gt="{"bmid":"458089457642810","count":"0","bookmark_type":"type_group","rank":"3"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 hidden_elem uiSideNavCount"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><img class="img" src="./ui_files/3OYk4ErGiUt.png" alt="" width="16" height="16"></span><div class="linkWrap noCount">MDI Job Referrals</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="398637273528511" id="navItem_group_398637273528511"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_4h"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit MIT Manipal Alumni Open group" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_4i"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/mitmanipalalumni/" title="MIT Manipal Alumni Open group" data-gt="{"bmid":"398637273528511","count":"25","bookmark_type":"type_group","rank":"4"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">20</span><span class="maxCountIndicator">+</span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_jQ50cqjcfGy sx_98b83e"></i></span><div class="linkWrap hasCount">MIT Manipal Alumni Open group</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="284314518394092" id="navItem_group_284314518394092"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_55"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Travel Buddy" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_56"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/284314518394092/" title="Travel Buddy" data-gt="{"bmid":"284314518394092","count":"25","bookmark_type":"type_group","rank":"5"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">20</span><span class="maxCountIndicator">+</span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_db668e"></i></span><div class="linkWrap hasCount">Travel Buddy</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="288841594499715" id="navItem_group_288841594499715"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_4k"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit I&CT MIT Manipal" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_4l"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/288841594499715/" title="I&CT MIT Manipal" data-gt="{"bmid":"288841594499715","count":"0","bookmark_type":"type_group","rank":"6"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 hidden_elem uiSideNavCount"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_e7c025"></i></span><div class="linkWrap noCount">I&CT MIT Manipal</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="150893991629890" id="navItem_group_150893991629890"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_4n"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Beehad Hard Gane 90 ke dashak ke" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_4o"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/150893991629890/" title="Beehad Hard Gane 90 ke dashak ke" data-gt="{"bmid":"150893991629890","count":"25","bookmark_type":"type_group","rank":"7"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">20</span><span class="maxCountIndicator">+</span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_e7c025"></i></span><div class="linkWrap hasCount">Beehad Hard Gane 90 ke dashak ke</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="137568023111395" id="navItem_group_137568023111395"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_4q"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit MDI PGP 2012 - 14" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_4r"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/137568023111395/" title="MDI PGP 2012 - 14" data-gt="{"bmid":"137568023111395","count":"17","bookmark_type":"type_group","rank":"8"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">17</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_jQ50cqjcfGy sx_98b83e"></i></span><div class="linkWrap hasCount">MDI PGP 2012 - 14</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="248292315251935" id="navItem_group_248292315251935"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_4t"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit In loving memory of a friend" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_4u"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/248292315251935/" title="In loving memory of a friend" data-gt="{"bmid":"248292315251935","count":"17","bookmark_type":"type_group","rank":"9"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">17</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_e7c025"></i></span><div class="linkWrap hasCount">In loving memory of a friend</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="137645986366973" id="navItem_group_137645986366973"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_4w"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit MDI PGP 2012-14" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_4x"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/mdi.pgp.2014/" title="MDI PGP 2012-14" data-gt="{"bmid":"137645986366973","count":"25","bookmark_type":"type_group","rank":"10"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">20</span><span class="maxCountIndicator">+</span></span><span class="grip"></span></div><div><span class="imgWrap"><img class="img" src="./ui_files/_9rFHMj4DIY.png" alt="" width="16" height="16"></span><div class="linkWrap hasCount">MDI PGP 2012-14</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="345181272212991" id="navItem_group_345181272212991"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_4z"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit MADSAM TINZIN" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_50"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/groups/345181272212991/" title="MADSAM TINZIN" data-gt="{"bmid":"345181272212991","count":"25","bookmark_type":"type_group","rank":"11"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">20</span><span class="maxCountIndicator">+</span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_e7c025"></i></span><div class="linkWrap hasCount">MADSAM TINZIN</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="1453691111529322" id="navItem_app_1453691111529322"><div class="buttonWrap"></div><a class="item clearfix" href="https://www.facebook.com/browsegroups/?category=membership&ref=bookmarks&dismissnux=1" title="Manage Your Groups" data-gt="{"bmid":"1453691111529322","count":"0","bookmark_type":"type_group_tool","rank":"12"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 hidden_elem uiSideNavCount"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span></div><div><span class="imgWrap"><img class="img" src="./ui_files/p8wxhmZcSa_.png" alt="" width="16" height="16"></span><div class="linkWrap noCount">Manage Your Groups</div></div></a></li><li class="sideNavItem stat_elem" data-bookmarkid="637803516301738" id="navItem_app_637803516301738"><div class="buttonWrap"></div><a class="item clearfix" href="https://www.facebook.com/browsegroups?ref=bookmarks&dismissnux=true" title="Find New Groups" data-gt="{"bmid":"637803516301738","count":"0","bookmark_type":"type_group_tool","rank":"13"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 hidden_elem uiSideNavCount"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span></div><div><span class="imgWrap"><img class="img" src="./ui_files/TbPApve0wPE.png" alt="" width="16" height="16"></span><div class="linkWrap noCount">Find New Groups</div></div></a></li><li class="sideNavItem stat_elem" data-bookmarkid="230259100322928" id="navItem_app_230259100322928"><div class="buttonWrap"></div><a class="item clearfix" rel="dialog" href="https://www.facebook.com/ajax/groups/create_get.php?ref=bookmarks" title="Create Group" data-gt="{"bmid":"230259100322928","count":"0","bookmark_type":"type_group_tool","rank":"14"}" role="button"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 hidden_elem uiSideNavCount"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_0d2f32"></i></span><div class="linkWrap noCount">Create Group</div></div></a></li></ul></div><div class="homeSideNav" id="appsNav" data-ft="{"tn":"+X"}"><h4 class="navHeader"><a href="https://www.facebook.com/bookmarks/apps"><div class="clearfix"><div class="lfloat _ohe">APPS</div><span class="mrm rfloat _ohf"><div class="bookmarksNavSeeAll">More</div><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span></span></div></a></h4><ul class="uiSideNav mts mbm nonDroppableNav" data-ft="{"tn":"+X"}" data-gt="{"nav_items_count":"8","nav_section":"appsNav","bm_sec":"appsNav"}"><li class="sideNavItem stat_elem" data-bookmarkid="140332009231" id="navItem_app_140332009231"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_58"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Apps and Games" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_59"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/games/?from_bookmark=1" title="Games" data-gt="{"bmid":"140332009231","count":"33","bookmark_type":"type_game_tool","rank":"1","type":"click2appcenter"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">20</span><span class="maxCountIndicator">+</span></span><span class="grip"></span></div><div><span class="imgWrap"><img class="img" src="./ui_files/3JtZHx9TaF3.png" alt="" width="16" height="16"></span><div class="linkWrap hasCount">Games</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="2389801228" id="navItem_app_2389801228"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_5b"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Texas HoldEm Poker" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_5c"></a></div></div><a class="item clearfix sortableItem" rel="nofollow" href="https://www.facebook.com/l.php?u=https%3A%2F%2Fapps.facebook.com%2Ftexas_holdem%2F%3Ffb_source%3Dbookmark%26ref%3Dbookmarks%26count%3D1%26fb_bmpos%3D2_1&h=lAQFnv-YS&s=1" title="Texas HoldEm Poker" data-gt="{"bmid":"2389801228","count":"1","bookmark_type":"type_canvas_app_game","rank":"2","type":"click2canvas","appid":"2389801228","fbsource":"301"}" onmouseover="LinkshimAsyncLink.swap(this, "https:\/\/apps.facebook.com\/texas_holdem\/?fb_source=bookmark&ref=bookmarks&count=1&fb_bmpos=2_1");" onclick="LinkshimAsyncLink.swap(this, "\/l.php?u=https\u00253A\u00252F\u00252Fapps.facebook.com\u00252Ftexas_holdem\u00252F\u00253Ffb_source\u00253Dbookmark\u002526ref\u00253Dbookmarks\u002526count\u00253D1\u002526fb_bmpos\u00253D2_1&h=lAQFnv-YS&s=1");"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">1</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><img class="img" height="16" src="./ui_files/851561_10151520509171229_2012052015_n.png" width="16" alt=""></span><div class="linkWrap hasCount">Texas HoldEm Poker</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="183217215062060" id="navItem_app_183217215062060"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_42"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Pokes" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_43"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/pokes?ref_type=bookmark" title="Pokes" data-gt="{"bmid":"183217215062060","count":"1","bookmark_type":"type_facebook_app","rank":"3"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">1</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_220762"></i></span><div class="linkWrap hasCount">Pokes</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="133451120007663" id="navItem_app_133451120007663"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_5e"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Truth Game" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_5f"></a></div></div><a class="item clearfix sortableItem" rel="nofollow" href="https://www.facebook.com/l.php?u=https%3A%2F%2Fapps.facebook.com%2Fsocialtrueorfalse%2F%3Ffb_source%3Dbookmark%26ref%3Dbookmarks%26count%3D3%26fb_bmpos%3D4_3&h=MAQGTW2rm&s=1" title="Truth Game" data-gt="{"bmid":"133451120007663","count":"3","bookmark_type":"type_canvas_app_non_game","rank":"4","type":"click2canvas","appid":"133451120007663","fbsource":"301"}" onmouseover="LinkshimAsyncLink.swap(this, "https:\/\/apps.facebook.com\/socialtrueorfalse\/?fb_source=bookmark&ref=bookmarks&count=3&fb_bmpos=4_3");" onclick="LinkshimAsyncLink.swap(this, "\/l.php?u=https\u00253A\u00252F\u00252Fapps.facebook.com\u00252Fsocialtrueorfalse\u00252F\u00253Ffb_source\u00253Dbookmark\u002526ref\u00253Dbookmarks\u002526count\u00253D3\u002526fb_bmpos\u00253D4_3&h=MAQGTW2rm&s=1");"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 uiSideNavCount"><span class="countValue fss">3</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><img class="img" height="16" src="./ui_files/851560_597214673631303_41456674_n.gif" width="16" alt=""></span><div class="linkWrap hasCount">Truth Game</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="291549705119" id="navItem_app_291549705119"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_5h"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit CityVille" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_5i"></a></div></div><a class="item clearfix sortableItem" rel="nofollow" href="https://www.facebook.com/l.php?u=https%3A%2F%2Fapps.facebook.com%2Fcityville%2F%3Ffb_source%3Dbookmark%26ref%3Dbookmarks%26count%3D0%26fb_bmpos%3D5_0&h=JAQHiD1x7&s=1" title="CityVille" data-gt="{"bmid":"291549705119","count":"0","bookmark_type":"type_canvas_app_game","rank":"5","type":"click2canvas","appid":"291549705119","fbsource":"301"}" onmouseover="LinkshimAsyncLink.swap(this, "https:\/\/apps.facebook.com\/cityville\/?fb_source=bookmark&ref=bookmarks&count=0&fb_bmpos=5_0");" onclick="LinkshimAsyncLink.swap(this, "\/l.php?u=https\u00253A\u00252F\u00252Fapps.facebook.com\u00252Fcityville\u00252F\u00253Ffb_source\u00253Dbookmark\u002526ref\u00253Dbookmarks\u002526count\u00253D0\u002526fb_bmpos\u00253D5_0&h=JAQHiD1x7&s=1");"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 hidden_elem uiSideNavCount"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><img class="img" height="16" src="./ui_files/851578_10151677700040120_627798878_n.png" width="16" alt=""></span><div class="linkWrap noCount">CityVille</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="2305272732" id="navItem_app_2305272732"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_3w"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Photos" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_3x"></a></div></div><a class="item clearfix sortableItem" href="https://www.facebook.com/mayur.kumar.77/photos?ref_type=bookmark" title="Photos" data-gt="{"bmid":"2305272732","count":"0","bookmark_type":"type_facebook_app","rank":"6"}"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." aria-busy="1"></span><span class="count _5wk0 hidden_elem uiSideNavCount"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span><span class="grip"></span></div><div><span class="imgWrap"><i class="img sp_3Bevu-3hjTi sx_4ab491"></i></span><div class="linkWrap noCount">Photos</div></div></a><span class="mover hidden_elem"></span></li><li class="sideNavItem stat_elem" data-bookmarkid="124318160942877" id="navItem_app_124318160942877"><div class="buttonWrap"><div class="_6a mas uiPopover uiSideNavEditButton" title="Edit" id="u_0_5k"><a class="_26tg accessible_elem _p" href="https://www.facebook.com/#" title="Edit" aria-label="Edit Get Revealed" aria-haspopup="true" aria-expanded="false" rel="toggle" role="button" id="u_0_5l"></a></div></div><a class="item clearfix sortableItem" rel="nofollow" href="https://www.facebook.com/l.php?u=https%3A%2F%2Fapps.facebook.com%2Fgetrevealed%2F%3Ffb_source%3Dbookmark%26ref%3Dbookmarks%26count%3D3%26fb_bmpos%3D7_3&h=TAQEhAmGV&s=1" title="Get Revealed" data-gt="{"bmid":"124318160942877","count":"3","bookmark_type":"type_canvas_app_non_game","rank":"7","type":"click2canvas","appid":"124318160942877","fbsource":"301"}" onmouseover="LinkshimAsyncLink.swap(this, "https:\/\/apps.facebook.com\/getrevealed\/?fb_source=bookmark&ref=bookmarks&count=3&fb_bmpos=7_3");" onclick="LinkshimAsyncLink.swap(this, "\/l.php?u=https\u00253A\u00252F\u00252Fapps.facebook.com\u00252Fgetrevealed\u00252F\u00253Ffb_source\u00253Dbookmark\u002526ref\u00253Dbookmarks\u002526count\u00253D3\u002526fb_bmpos\u00253D7_3&h=TAQEhAmGV&s=1");"><div class="rfloat"><span class="img _55ym _55yn _55yo _5tqs uiSideNavSpinner" aria-label="Loading..." 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data-ft="{"qid":"6040832212780584222","mf_story_key":"3107772207255417077","fbfeed_location":1,"insertion_position":0}" data-cursor="MTQwNjQ5MDg1MjoxNDA2NDkwODUyOjE6MzEwNzc3MjIwNzI1NTQxNzA3NzoxNDA2NDkwNTY5OjA=" data-dedupekey="3107772207255417077" data-timestamp="1406490569" id="u_jsonp_4_m" aria-labelledby="js_58 js_59 js_60" data-insertion-position="0"><div class="userContentWrapper _5pcr _3ccb" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_4_n" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_4_r"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/mallika.srivastavajain?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=763558879"><img 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class="UFICommentActorName" data-hovercard="/ajax/hovercard/hovercard.php?id=100004927363232&extragetparams=%7B%22hc_location%22%3A%22ufi%22%7D" data-ft="{"tn":";"}" dir="ltr" href="https://www.facebook.com/surbhi.shriwastava.37" data-reactid=".46.1:3:1:$comment10152452206563880_10152452221403880:0.0.$right.0.$left.0.0.$author.0">Surbhi Shriwastava</a></span><span data-reactid=".46.1:3:1:$comment10152452206563880_10152452221403880:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".46.1:3:1:$comment10152452206563880_10152452221403880:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".46.1:3:1:$comment10152452206563880_10152452221403880:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".46.1:3:1:$comment10152452206563880_10152452221403880:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Very true darling......n we r lucky dat we are sharing such kind of relationship.....miss u lot...</span></span></span><span 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data-reactid=".4r.1:3:1:$comment10152592287329168_10152592522654168:0.0.$right.0.$left.0.0.$author.0" onmousedown="this.href = this.href.replace('__md__=0', '__md__=1');">Kyle Kelly</a></span><span data-reactid=".4r.1:3:1:$comment10152592287329168_10152592522654168:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".4r.1:3:1:$comment10152592287329168_10152592522654168:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".4r.1:3:1:$comment10152592287329168_10152592522654168:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".4r.1:3:1:$comment10152592287329168_10152592522654168:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Never had interest in the first place. Why carry a tablet around when my laptop isn't much bigger or heavier?</span></span></span><span data-reactid=".4r.1:3:1:$comment10152592287329168_10152592522654168:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".4r.1:3:1:$comment10152592287329168_10152592522654168:0.0.$right.0.$left.0.3"><a class="UFILikeLink" data-ft="{"tn":">"}" href="https://www.facebook.com/#" role="button" title="Like this comment" data-reactid=".4r.1:3:1:$comment10152592287329168_10152592522654168:0.0.$right.0.$left.0.3.$likeToggle:0">Like</a><span data-reactid=".4r.1:3:1:$comment10152592287329168_10152592522654168:0.0.$right.0.$left.0.3.$commentReply:0:$MIDDOT:0"> · </span><a class="UFIReplyLink" href="https://www.facebook.com/#" data-reactid=".4r.1:3:1:$comment10152592287329168_10152592522654168:0.0.$right.0.$left.0.3.$commentReply:0:$action:0">Reply</a><span 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class="_5pbw" data-ft="{"tn":"C"}" id="js_64"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/ssouvik8?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1630893146&extragetparams=%7B%22fref%22%3A%22nf%22%2C%22directed_target_id%22%3A284314518394092%7D">Souvik Saha</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/groups/284314518394092/?fref=nf" data-hovercard="/ajax/hovercard/group.php?id=284314518394092&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Travel Buddy</a></span></div></h5><div class="_5pcp" id="js_65"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/groups/284314518394092/permalink/321212378037639/"><abbr title="Monday, July 28, 2014 at 1:17am" data-utime="1406490427" data-shorten="1" class="_5ptz timestamp livetimestamp">1 hr</abbr></a> · <a class="_5pcq" href="https://www.facebook.com/pages/Gurgaon-Haryana/106487939387579" data-hovercard="/ajax/hovercard/page.php?id=106487939387579">Gurgaon</a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_4_ae" aria-label="Shared with: Members of Travel Buddy"><i class="lock img sp_843e1e sx_447ccd"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}" id="js_66"><p>Which would be a better place to go at this time? Kasol or Mcleodganj? Or maybe Lansdowne? PLease share your experiences.</p></div><div></div><div><form rel="async" class="live_321212378037639_316526391751760 commentable_item autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":321213008037576}" id="u_jsonp_4_a7" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQGu_d_uoqoN" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"1630893146","target_fbid":"321212378037639","target_profile_id":"","type_id":"308","assoc_obj_id":"284314518394092","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406490426","check_hash":"AQBX8LCXT0_Xwy90","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div 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data-hovercard="/ajax/hovercard/hovercard.php?id=693685012&extragetparams=%7B%22hc_location%22%3A%22ufi%22%7D" data-ft="{"tn":";"}" dir="ltr" href="https://www.facebook.com/rahul.stylejunction?fref=ufi" data-reactid=".4n.1:3:1:$comment321212378037639_321212654704278:0.0.$right.0.$left.0.0.$author.0">Rahul Sood</a></span><span data-reactid=".4n.1:3:1:$comment321212378037639_321212654704278:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".4n.1:3:1:$comment321212378037639_321212654704278:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".4n.1:3:1:$comment321212378037639_321212654704278:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".4n.1:3:1:$comment321212378037639_321212654704278:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Kasol anyday....</span></span></span><span data-reactid=".4n.1:3:1:$comment321212378037639_321212654704278:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg 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data-hovercard="/ajax/hovercard/hovercard.php?id=1029319140&extragetparams=%7B%22hc_location%22%3A%22ufi%22%7D" data-ft="{"tn":"T"}" tabindex="-1" aria-hidden="true" data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$left.0"><img src="./ui_files/10366025_10202769750418066_2642527353600848356_n.jpg" class="img UFIActorImage _54ru" alt="" data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$left.0.0"></a></div><div class="" data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right"><div class="UFIImageBlockContent _42ef clearfix" data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0"><div class="_ohf rfloat" data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$right"><button class="UFICommentCloseButtonFake _50zy _50-0 _50z- _5upp _42ft" tabindex="-1" title="Remove" type="submit" value="1" data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$right.0"><span data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$right.0.1">Remove</span></button></div><div class="" data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left"><div class="UFICommentContentBlock" data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0"><div class="UFICommentContent" data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.0"><span data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.0.$author"><a class="UFICommentActorName" data-hovercard="/ajax/hovercard/hovercard.php?id=1029319140&extragetparams=%7B%22hc_location%22%3A%22ufi%22%7D" data-ft="{"tn":";"}" dir="ltr" href="https://www.facebook.com/nishantgupta100?fref=ufi" data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.0.$author.0">Nishant Gupta</a></span><span data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Go to Kheerganga, 32 kms from Kasol</span></span></span><span data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.3"><span data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.3.$metadata:0"><a class="uiLinkSubtle" href="https://www.facebook.com/groups/284314518394092/permalink/321212378037639/?comment_id=321213008037576&offset=0&total_comments=2" data-ft="{"tn":"N"}" data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.3.$metadata:0.$timestamp-message"><abbr class="livetimestamp" title="Monday, July 28, 2014 at 1:20am" data-utime="1406490637" data-shorten="true" data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.3.$metadata:0.$timestamp-message.0">1 hr</abbr></a></span><span data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.3.$likeToggle:0:$MIDDOT:0"> · </span><a class="UFILikeLink" data-ft="{"tn":">"}" href="https://www.facebook.com/#" role="button" title="Like this comment" data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.3.$likeToggle:0:$action:0">Like</a></div><a class="UFICommentCloseButton _50zy _50-0 _50z- _5upp _42ft" href="https://www.facebook.com/#" aria-label="Hide" data-hover="tooltip" data-tooltip-alignh="center" data-reactid=".4n.1:3:1:$comment321212378037639_321213008037576:0.0.$right.0.$left.0.4"></a></div></div></div></div></div></li><li class="UFIRow UFIComponent UFIAddComment UFIAddCommentWithPhotoAttacher UFILastComponent" data-ft="{"tn":"["}" data-reactid=".4n.1:4"><div class="UFIMentionsInputWrap clearfix" data-reactid=".4n.1:4.0"><div class="_ohe lfloat" data-reactid=".4n.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".4n.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur Kumar" data-reactid=".4n.1:4.0.$left.0.0"></div></div><div class="" data-reactid=".4n.1:4.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".4n.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".4n.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".4n.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".4n.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".4n.1:4.0.$right.0.0.0.0.0"><div data-reactid=".4n.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" data-reactid=".4n.1:4.0.$right.0.0.0.0.0.0.0"></span></div></div><div class="uiTypeahead mentionsTypeahead" data-reactid=".4n.1:4.0.$right.0.0.0.0.1"><div class="wrap" data-reactid=".4n.1:4.0.$right.0.0.0.0.1.0"><input type="hidden" autocomplete="off" class="hiddenInput" data-reactid=".4n.1:4.0.$right.0.0.0.0.1.0.0"><div class="innerWrap" data-reactid=".4n.1:4.0.$right.0.0.0.0.1.0.1"><textarea name="add_comment_text" class="textInput mentionsTextarea uiTextareaAutogrow uiTextareaNoResize UFIAddCommentInput DOMControl_placeholder" title="Write a comment..." placeholder="Write a comment..." data-reactid=".4n.1:4.0.$right.0.0.0.0.1.0.1.0">Write a comment...</textarea></div></div></div><input type="hidden" autocomplete="off" class="mentionsHidden" value="" data-reactid=".4n.1:4.0.$right.0.0.0.0.2"></div><div class="UFICommentAttachmentButtons clearfix" data-reactid=".4n.1:4.0.$right.0.0.0.1"><div class="UFIPhotoAttachLinkWrapper _m" data-hover="tooltip" data-tooltip-alignh="center" aria-label="Attach a Photo" data-reactid=".4n.1:4.0.$right.0.0.0.1.0"><i class="UFICommentPhotoIcon" data-reactid=".4n.1:4.0.$right.0.0.0.1.0.0"><input type="file" accept="image/*" class="_n" name="file" title="Choose a file to upload" aria-label="Choose a file to upload"></i></div></div></div></div></div></div></div></li></ul></div></form></div></div></div><div class="_4-u2 mbm _5jmm _5pat _5v3q _5x16 _2l4l _x72" data-ft="{"qid":"6040832212780584222","mf_story_key":"-5284350930492807642","fbfeed_location":1,"insertion_position":3}" data-cursor="MTQwNjQ5MDg1MjoxNDA2NDkwODUyOjQ6LTUyODQzNTA5MzA0OTI4MDc2NDI6MTQwNjQ4ODE0MDow" data-dedupekey="-5284350930492807642" data-timestamp="1406486776" id="u_jsonp_4_8s" aria-labelledby="js_67 js_68 js_69 js_70 js_71 js_72 js_73" data-insertion-position="3"><div class="_5pcr clearfix" id="u_jsonp_4_8v"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_4_94" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_4_96"></a></div><h5 class="mbs _5pbw" data-ft="{"tn":"C"}" id="js_67"><div class="fwn fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/chandrachudasarma" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=100000189921464">Chandrachuda Sharma</a></span> and <a data-hover="tooltip" aria-label="Naman Sharma
Aditya Chadha
Bharath Velishala
and 12 more..." data-tooltip-position="below" href="https://www.facebook.com/#" ajaxify="/ajax/browser/dialog/participants/?q=AeKFhkW72h3sZAYldazWUjJAzcwFgQHu2O58tiTwJ67pwk6e7ak1MT0kZzELMubGUA8m1NUgWaGq3qh0EZqIcr4M3hnC8xDrcHyQQJlWqFTBWIWalzeQgiLiZ_wzneuL5xbzI8-2F5sTv1ALjhjVDDL0N9cPJySNKc0y3VKpahDOP3zi5bM3d4Arp6xWnVi89N8UnWPCdKJdiOef2MxqNTSB9oVJu3uqUbNTnu-HVvrc03liiUMj_2ptQOOl-GFMfU_vnbJS-4cKS8tOR_vLsvFJUGkDjH_NYY6oXKhrg0TjDETXebRunaNBy4nCGsRrExjz9uLPbmtjjK7p-V1Gfddjz2Nsliinhhof9vRqqXK7u618aWAKoro7dyjoTElgG0TkgSdVFyXM7vJy5OD80g2yZvU1k7xJ_ZJvYU6YS8COfiMB-hVOZWKFLd0U0zJV3rOk6zFf_7ZXpVJqoqVGc8AkePNz1Orp5O_-WtrS4aVPJDnrZVTrhxjo8xtu9iMQzxnZXyH1VRpu55dRQZ47fMzk-diMqAmR64z6EsblTiavcx_XOMZG6IAZea7yiKBsQH0gSWoXDgLIT8Vk310ZFnF4zo2eJ9xJgWrLZpaz67Q-csi8ZVr9_Oolgz-3oNw4yW-2Ua2d-Q-oLNZGXhPE_TkukKMwBRIPxZXWrGO-VTbDRe1rKmtm4QVpawDc1PH3CJSTQb2MkF1I5NZdRMe_DmbqqT_aY5Q5oRYqBkvlAZx5HwvioPrw1NUGbonue5o33L6_rK7k-J7J2fOWZLndhNXo3tE1Eb7utF4hdplJogaxLmVZjYsxB0obOXsJ53zjQMdci5XcPhg8iW2yLOozuQNBNyn30628d22GL7FoFt3uzS8toUwsndGjnjydAefVaFP1Ge9kwfwU0xr4vGVFqpsjVgszjMoNYlr19dN09Jhsxg" rel="dialog" data-ft="{"tn":"l"}" role="button">15 others</a> wrote on <a class="profileLink" href="https://www.facebook.com/sainaveen721" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=1663627786">Naveen Bolla</a>'s timeline.</span></div></h5><div class="clearfix mvm"><a class="_8o _8t lfloat _ohe" href="https://www.facebook.com/sainaveen721" tabindex="-1" aria-hidden="true" data-hovercard="/ajax/hovercard/user.php?id=1663627786"><div class="uiScaledImageContainer" style="width: 90px; height: 90px"><img class="scaledImageFitWidth img" src="./ui_files/1538682_10202283464882375_844078298_n.jpg" alt="" width="90" height="90"></div></a><div class="_42ef"><div class="mbs fwb"><a href="https://www.facebook.com/sainaveen721" data-hovercard="/ajax/hovercard/user.php?id=1663627786">Naveen Bolla</a></div><div class="mbs fcg">Birthday: Today</div><ul class="uiList _4kg _6-h _704 _6-i"><li><form rel="async" class="uiStreamInlineAction" action="https://www.facebook.com/ajax/stream/inline.php" method="post" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)" id="u_jsonp_4_97"><input type="hidden" name="fb_dtsg" value="AQGu_d_uoqoN" autocomplete="off"><div class="formWrapper"><input type="hidden" autocomplete="off" name="walltarget" value="1663627786"><input type="hidden" autocomplete="off" name="render_notif_only" value="1"><input type="hidden" autocomplete="off" name="birthday" value="1"><div class="uiMentionsInput" id="u_jsonp_4_98"><div class="highlighter"><div><span class="highlighterContent"></span></div></div><div class="uiTypeahead mentionsTypeahead" data-ft="{"tn":"+Q"}" id="u_jsonp_4_99"><div class="wrap"><input type="hidden" autocomplete="off" class="hiddenInput"><div class="innerWrap"><textarea class="enter_submit DOMControl_placeholder uiTextareaNoResize uiTextareaAutogrow uiStreamInlineTextarea inlineReplyTextArea mentionsTextarea textInput" title="Write a birthday wish on his timeline..." placeholder="Write a birthday wish on his timeline..." name="message" cols="48" role="textbox" aria-autocomplete="list" autocomplete="off" aria-expanded="false" aria-owns="typeahead_list_u_jsonp_4_99" aria-haspopup="true" onkeydown="run_with(this, ["legacy:control-textarea"], function() {TextAreaControl.getInstance(this)});" id="u_jsonp_4_9a">Write a birthday wish on his timeline...</textarea></div></div></div><input type="hidden" autocomplete="off" class="mentionsHidden"></div><label class="hidden_elem"><input name="post" value="Post" type="submit" class="enter_submit_target"></label></div><input type="hidden" autocomplete="off" name="source" value="avatar_attachment"></form></li></ul></div></div><div class="stat_elem"><ul class="uiList uiCollapsedList uiCollapsedListHidden _5pbz _5va0 _4kg" id="u_jsonp_4_9b"><li><div class="userContentWrapper _5pcr mbs _5v9_ _5va1 _3ccb" data-dedup="S:_I100000189921464:945535718796083" id="u_jsonp_4_90" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_4_9c" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_4_9m"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/chandrachudasarma?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=100000189921464"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/67132_556186177731041_585147869_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_68"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/chandrachudasarma?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=100000189921464&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Chandrachuda Sharma</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/sainaveen721?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1663627786&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Naveen Bolla</a></span></div></h6><div class="_5pcp" id="js_72"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/sainaveen721/posts/10203560581729498"><abbr title="Monday, July 28, 2014 at 12:16am" data-utime="1406486776" data-shorten="1" class="_5ptz timestamp livetimestamp">2 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_4_af" aria-label="Shared with: Public"><i class="lock img sp_xFwBv1W8Ynk sx_07a954"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}" id="js_73"><p>Orey Happy birthday ra..</p></div><div></div><div><form rel="async" class="live_10203560581729498_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_4_9v" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQGu_d_uoqoN" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"100000189921464","target_fbid":"10203560581729498","target_profile_id":"1663627786","type_id":"100","assoc_obj_id":"","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406486776","check_hash":"AQBhXwnKFuIyG51f","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp _5vsi"><span><span data-reactid=".4a"><a class="UFILikeLink accessible_elem" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-reactid=".4a.0">Like</a><a class="UFILikeLink" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-ft="{"tn":">"}" data-reactid=".4a.1">Like</a></span></span> · <label class="uiLinkButton comment_link" title="Leave a comment"><input class="uiLinkButtonInput" data-ft="{"type":24,"tn":"S"}" type="button" value="Comment" onclick="return fc_click(this);"></label> · <span><a class="share_action_link" data-ft="{ "tn": "J", "type": 25 }" href="https://www.facebook.com/ajax/sharer/?s=65&appid=2719290516&p[0]=100000189921464&p[1]=10203560581729498&share_source_type=unknown&__av=100000590753545" rel="dialog" title="Send this to friends or post it on your timeline." data-reactid=".4b">Share</a></span></div></div></div><div class="uiUfi UFIContainer _5pc9 _5vsj _5v9k" id="u_jsonp_4_a0"><ul class="UFIList" data-reactid=".4c"><li class="UFIRow UFIComponent UFIAddComment UFIAddCommentWithPhotoAttacher UFIFirstComponent UFILastComponent" data-ft="{"tn":"["}" data-reactid=".4c.1:4"><div class="UFIMentionsInputWrap clearfix" data-reactid=".4c.1:4.0"><div class="_ohe lfloat" data-reactid=".4c.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".4c.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur Kumar" data-reactid=".4c.1:4.0.$left.0.0"></div></div><div class="" data-reactid=".4c.1:4.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".4c.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".4c.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".4c.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".4c.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".4c.1:4.0.$right.0.0.0.0.0"><div data-reactid=".4c.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" data-reactid=".4c.1:4.0.$right.0.0.0.0.0.0.0"></span></div></div><div class="uiTypeahead mentionsTypeahead" data-reactid=".4c.1:4.0.$right.0.0.0.0.1"><div class="wrap" data-reactid=".4c.1:4.0.$right.0.0.0.0.1.0"><input type="hidden" autocomplete="off" class="hiddenInput" data-reactid=".4c.1:4.0.$right.0.0.0.0.1.0.0"><div class="innerWrap" data-reactid=".4c.1:4.0.$right.0.0.0.0.1.0.1"><textarea name="add_comment_text" class="textInput mentionsTextarea uiTextareaAutogrow uiTextareaNoResize UFIAddCommentInput DOMControl_placeholder" title="Write a comment..." placeholder="Write a comment..." data-reactid=".4c.1:4.0.$right.0.0.0.0.1.0.1.0">Write a comment...</textarea></div></div></div><input type="hidden" autocomplete="off" class="mentionsHidden" value="" data-reactid=".4c.1:4.0.$right.0.0.0.0.2"></div><div class="UFICommentAttachmentButtons clearfix" data-reactid=".4c.1:4.0.$right.0.0.0.1"><div class="UFIPhotoAttachLinkWrapper _m" data-hover="tooltip" data-tooltip-alignh="center" aria-label="Attach a Photo" data-reactid=".4c.1:4.0.$right.0.0.0.1.0"><i class="UFICommentPhotoIcon" data-reactid=".4c.1:4.0.$right.0.0.0.1.0.0"><input type="file" accept="image/*" class="_n" name="file" title="Choose a file to upload" aria-label="Choose a file to upload"></i></div></div></div></div></div></div></div></li></ul></div></form></div></div></li><li><div class="userContentWrapper _5pcr mvs _5v9_ _5va1 _3ccb" data-dedup="S:_I1806904242:10201476718358992" id="u_jsonp_4_91" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_4_9d" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_4_9o"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/naman.sharma.1800?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=1806904242"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/1796457_10200668324829659_419841048_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_69"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/naman.sharma.1800?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1806904242&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Naman Sharma</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/sainaveen721?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1663627786&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Naveen Bolla</a></span></div></h6><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/sainaveen721/posts/10203560562249011"><abbr title="Monday, July 28, 2014 at 12:11am" data-utime="1406486498" data-shorten="1" class="_5ptz timestamp livetimestamp">2 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_4_ag" aria-label="Shared with: Public"><i class="lock img sp_xFwBv1W8Ynk sx_07a954"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}"><p>Happy B'day</p></div><div></div><div><form rel="async" class="live_10203560562249011_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_4_9w" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQGu_d_uoqoN" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"1806904242","target_fbid":"10203560562249011","target_profile_id":"1663627786","type_id":"100","assoc_obj_id":"","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406486498","check_hash":"AQAGFFMsD-QBoGzU","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp _5vsi"><span><span data-reactid=".4d"><a class="UFILikeLink accessible_elem" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-reactid=".4d.0">Like</a><a class="UFILikeLink" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-ft="{"tn":">"}" data-reactid=".4d.1">Like</a></span></span> · <label class="uiLinkButton comment_link" title="Leave a comment"><input class="uiLinkButtonInput" data-ft="{"type":24,"tn":"S"}" type="button" value="Comment" onclick="return fc_click(this);"></label> · <span><a class="share_action_link" data-ft="{ "tn": "J", "type": 25 }" href="https://www.facebook.com/ajax/sharer/?s=65&appid=2719290516&p[0]=1806904242&p[1]=10203560562249011&share_source_type=unknown&__av=100000590753545" rel="dialog" title="Send this to friends or post it on your timeline." data-reactid=".4e">Share</a></span></div></div></div><div class="uiUfi UFIContainer _5pc9 _5vsj _5v9k" id="u_jsonp_4_a2"><ul class="UFIList" data-reactid=".4f"><li class="UFIRow UFIComponent UFIAddComment UFIAddCommentWithPhotoAttacher UFIFirstComponent UFILastComponent" data-ft="{"tn":"["}" data-reactid=".4f.1:4"><div class="UFIMentionsInputWrap clearfix" data-reactid=".4f.1:4.0"><div class="_ohe lfloat" data-reactid=".4f.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".4f.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur Kumar" data-reactid=".4f.1:4.0.$left.0.0"></div></div><div class="" data-reactid=".4f.1:4.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".4f.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".4f.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".4f.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".4f.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".4f.1:4.0.$right.0.0.0.0.0"><div data-reactid=".4f.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" data-reactid=".4f.1:4.0.$right.0.0.0.0.0.0.0"></span></div></div><div class="uiTypeahead mentionsTypeahead" data-reactid=".4f.1:4.0.$right.0.0.0.0.1"><div class="wrap" data-reactid=".4f.1:4.0.$right.0.0.0.0.1.0"><input type="hidden" autocomplete="off" class="hiddenInput" data-reactid=".4f.1:4.0.$right.0.0.0.0.1.0.0"><div class="innerWrap" data-reactid=".4f.1:4.0.$right.0.0.0.0.1.0.1"><textarea name="add_comment_text" class="textInput mentionsTextarea uiTextareaAutogrow uiTextareaNoResize UFIAddCommentInput DOMControl_placeholder" title="Write a comment..." placeholder="Write a comment..." data-reactid=".4f.1:4.0.$right.0.0.0.0.1.0.1.0">Write a comment...</textarea></div></div></div><input type="hidden" autocomplete="off" class="mentionsHidden" value="" data-reactid=".4f.1:4.0.$right.0.0.0.0.2"></div><div class="UFICommentAttachmentButtons clearfix" data-reactid=".4f.1:4.0.$right.0.0.0.1"><div class="UFIPhotoAttachLinkWrapper _m" data-hover="tooltip" data-tooltip-alignh="center" aria-label="Attach a Photo" data-reactid=".4f.1:4.0.$right.0.0.0.1.0"><i class="UFICommentPhotoIcon" data-reactid=".4f.1:4.0.$right.0.0.0.1.0.0"><input type="file" accept="image/*" class="_n" name="file" title="Choose a file to upload" aria-label="Choose a file to upload"></i></div></div></div></div></div></div></div></li></ul></div></form></div></div></li><li class="hiddenItem"><div class="userContentWrapper _5pcr mvs _5v9_ _5va1 _3ccb" data-dedup="S:_I754438500:10152600416218501" id="u_jsonp_4_92" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_4_9e" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_4_9q"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/adityarchadha?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=754438500"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/10434312_10152498669578501_7595833544498234698_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_70"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/adityarchadha?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=754438500&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Aditya Chadha</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/sainaveen721?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1663627786&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Naveen Bolla</a></span></div></h6><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/sainaveen721/posts/10203560535808350"><abbr title="Monday, July 28, 2014 at 12:06am" data-utime="1406486189" data-shorten="1" class="_5ptz timestamp livetimestamp">2 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_4_ah" aria-label="Shared with: Public"><i class="lock img sp_xFwBv1W8Ynk sx_07a954"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}"><p>happy bday <i class="_4-k1 img sp_F6Afu2XGiZY sx_a8bc3e"></i></p></div><div></div><div><form rel="async" class="live_10203560535808350_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_4_9x" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQGu_d_uoqoN" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"754438500","target_fbid":"10203560535808350","target_profile_id":"1663627786","type_id":"100","assoc_obj_id":"","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406486189","check_hash":"AQDTOfk4f_ct9xq7","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp _5vsi"><span><span data-reactid=".4g"><a class="UFILikeLink accessible_elem" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-reactid=".4g.0">Like</a><a class="UFILikeLink" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-ft="{"tn":">"}" data-reactid=".4g.1">Like</a></span></span> · <label class="uiLinkButton comment_link" title="Leave a comment"><input class="uiLinkButtonInput" data-ft="{"type":24,"tn":"S"}" type="button" value="Comment" onclick="return fc_click(this);"></label> · <span><a class="share_action_link" data-ft="{ "tn": "J", "type": 25 }" href="https://www.facebook.com/ajax/sharer/?s=65&appid=2719290516&p[0]=754438500&p[1]=10203560535808350&share_source_type=unknown&__av=100000590753545" rel="dialog" title="Send this to friends or post it on your timeline." data-reactid=".4h">Share</a></span></div></div></div><div class="uiUfi UFIContainer _5pc9 _5vsj _5v9k" id="u_jsonp_4_a4"><ul class="UFIList" data-reactid=".4i"><li class="UFIRow UFIComponent UFIAddComment UFIAddCommentWithPhotoAttacher UFIFirstComponent UFILastComponent" data-ft="{"tn":"["}" data-reactid=".4i.1:4"><div class="UFIMentionsInputWrap clearfix" data-reactid=".4i.1:4.0"><div class="_ohe lfloat" data-reactid=".4i.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".4i.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur Kumar" data-reactid=".4i.1:4.0.$left.0.0"></div></div><div class="" data-reactid=".4i.1:4.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".4i.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".4i.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".4i.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".4i.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".4i.1:4.0.$right.0.0.0.0.0"><div data-reactid=".4i.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" data-reactid=".4i.1:4.0.$right.0.0.0.0.0.0.0"></span></div></div><div class="uiTypeahead mentionsTypeahead" data-reactid=".4i.1:4.0.$right.0.0.0.0.1"><div class="wrap" 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class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/suyashkant?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=856885384"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/10372006_10154252722540385_2367321161725996696_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h5 class="_5pbw" data-ft="{"tn":"C"}" id="js_74"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/suyashkant?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=856885384&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Suyash Kant</a></span></div></h5><div class="_5pcp" id="js_75"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/suyashkant/posts/10154433971925385"><abbr title="Sunday, July 27, 2014 at 9:17pm" data-utime="1406476076" data-shorten="1" class="_5ptz timestamp livetimestamp">5 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_4_aj" aria-label="Shared with: Public"><i class="lock img sp_xFwBv1W8Ynk sx_07a954"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}" id="js_76"><p>Riots - Request all friends to spread and maintain peace.Any rage whatsoever,should be expressed as a message for peace and not against each others.People spreading communal hatred now should be diligently taught to reconsider their opinions and understand that root cause of all this is nothing but political cynicism.All anger could instead be intelligently channelised to demonstrate and campaign against the communal forces.India is and always will remain Secular. <a class="_58cn" href="https://www.facebook.com/hashtag/unity?source=feed_text&story_id=10154433971925385" 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data-reactid=".4x.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".4x.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".4x.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".4x.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".4x.1:4.0.$right.0.0.0.0.0"><div data-reactid=".4x.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" data-reactid=".4x.1:4.0.$right.0.0.0.0.0.0.0"></span></div></div><div class="uiTypeahead mentionsTypeahead" data-reactid=".4x.1:4.0.$right.0.0.0.0.1"><div class="wrap" data-reactid=".4x.1:4.0.$right.0.0.0.0.1.0"><input type="hidden" autocomplete="off" class="hiddenInput" data-reactid=".4x.1:4.0.$right.0.0.0.0.1.0.0"><div class="innerWrap" data-reactid=".4x.1:4.0.$right.0.0.0.0.1.0.1"><textarea name="add_comment_text" class="textInput mentionsTextarea uiTextareaAutogrow uiTextareaNoResize UFIAddCommentInput DOMControl_placeholder" title="Write a 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class="_4-u2 mbm _5jmm _5pat _5v3q _5x16 _2l4l _x72" data-ft="{"qid":"6040832212780584222","mf_story_key":"4220279481215032944","fbfeed_location":1,"insertion_position":8}" data-cursor="MTQwNjQ5MDg1MjoxNDA2NDkwODUyOjk6NDIyMDI3OTQ4MTIxNTAzMjk0NDoxNDA2NDg0OTY4OjA=" data-dedupekey="4220279481215032944" data-timestamp="1406484968" id="u_jsonp_5_r" data-insertion-position="8"><div class="userContentWrapper _5pcr _3ccb" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_5_s" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_5_1h"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/profile.php?id=100000153349477&fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=100000153349477"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/1533955_804159206265850_382736482_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h5 class="_5pbw" data-ft="{"tn":"C"}"><div class="fwn fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/profile.php?id=100000153349477" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=100000153349477">Manish Kumar</a></span> shared <a class="profileLink" href="https://www.facebook.com/sarika.dheer" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=100001781942071">Sarika Dheer</a>'s <a href="https://www.facebook.com/photo.php?v=701458749923517" data-ft="{"tn":"F"}">video</a>.</span></div></h5><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/permalink.php?story_fbid=919645351383901&id=100000153349477"><abbr title="Sunday, July 27, 2014 at 11:46pm" data-utime="1406484968" data-shorten="1" class="_5ptz timestamp livetimestamp">2 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_5_1x" aria-label="Shared with: Manish's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="userContent"></div><div><div><div class="_5r69"><div class="mtm"><div data-ft="{"tn":"H"}"><div class="_6n_ mtm" style="width:400px;" data-ft="{"tn":"F"}"><a href="https://www.facebook.com/photo.php?v=701458749923517" rel="theater" ajaxify="https://www.facebook.com/photo.php?v=701458749923517&player_origin=newsfeed"><div class="uiScaledImageContainer _57tt" style="width:400px;height:224px;"><img class="scaledImageFitWidth img" src="./ui_files/10549450_701460496590009_701458749923517_17782_997_b.jpg" alt="" width="400" height="224"></div><i class="_6o1"></i><div class="_5b_0 _5bgz"><div class="_578n fsm fwb">01:07</div></div></a></div></div><div class="mtm plm _5pcm"><div class="mbs fwn fcg" data-ft="{"tn":"C"}"><div class="_5pcn fwb" data-ft="{"tn":";"}"><a href="https://www.facebook.com/photo.php?v=701458749923517&fref=nf">Sarika Dheer</a></div></div><div class="mtm _5pco" data-ft="{"tn":"K"}"><p>Kindly share this video as much as u can.....</p></div></div></div></div></div></div><div><form rel="async" class="live_919645351383901_316526391751760 commentable_item autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_5_1i" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" 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src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur Kumar" data-reactid=".53.1:4.0.$left.0.0"></div></div><div class="" data-reactid=".53.1:4.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".53.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".53.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".53.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".53.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".53.1:4.0.$right.0.0.0.0.0"><div data-reactid=".53.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" data-reactid=".53.1:4.0.$right.0.0.0.0.0.0.0"></span></div></div><div class="uiTypeahead mentionsTypeahead" data-reactid=".53.1:4.0.$right.0.0.0.0.1"><div class="wrap" data-reactid=".53.1:4.0.$right.0.0.0.0.1.0"><input type="hidden" autocomplete="off" class="hiddenInput" data-reactid=".53.1:4.0.$right.0.0.0.0.1.0.0"><div 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upload"></i></div></div></div></div></div></div></div></li></ul></div></form></div></div></div><div class="_4-u2 mbm _5jmm _5pat _5v3q _5x16 _2l4l _x72" data-ft="{"qid":"6040832212780584222","mf_story_key":"5605668689402528569","fbfeed_location":1,"insertion_position":9}" data-cursor="MTQwNjQ5MDg1MjoxNDA2NDkwODUyOjEwOjU2MDU2Njg2ODk0MDI1Mjg1Njk6MTQwNjQ4MTA0Nzow" data-dedupekey="5605668689402528569" data-timestamp="1406481046" id="u_jsonp_5_t" aria-labelledby="js_80 js_81 js_82" data-insertion-position="9"><div class="userContentWrapper _5pcr _3ccb" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_5_u" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_5_19"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/headpai?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=876075360"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/10305505_10154087974245361_6122121650125895954_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h5 class="_5pbw" data-ft="{"tn":"C"}" id="js_80"><div class="fwn fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/headpai" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=876075360">Krishnanand S Pai</a></span> added 3 new photos.</span></div></h5><div class="_5pcp" id="js_81"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/headpai/posts/10154361495720361"><abbr title="Sunday, July 27, 2014 at 10:40pm" data-utime="1406481046" data-shorten="1" class="_5ptz timestamp livetimestamp">3 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_5_1y" aria-label="Shared with: Krishnanand's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}" id="js_82"><p>Sunday !</p></div><div><div data-ft="{"tn":"H"}"><div class="_2a2q mtm" style="width:470px; height:470px;"><a class="_5dec _2a2r" href="https://www.facebook.com/photo.php?fbid=10154361495400361&set=pcb.10154361495720361&type=1" rel="theater" ajaxify="https://www.facebook.com/photo.php?fbid=10154361495400361&set=pcb.10154361495720361&type=1&src=https%3A%2F%2Ffbcdn-sphotos-e-a.akamaihd.net%2Fhphotos-ak-xaf1%2Ft1.0-9%2F10563200_10154361495400361_5742762859778318699_n.jpg&size=720%2C960&source=13&player_origin=newsfeed" id="u_jsonp_5_v" style="top:0px; left:0px;"><div class="_46-h" style="width:236px;height:470px;"><img class="_46-i img" src="./ui_files/10563200_10154361495400361_5742762859778318699_n.jpg" style="left:-62px; top:0px;" alt="Krishnanand S Pai's photo." width="360" height="480"></div></a><a class="_5dec _2a2r" href="https://www.facebook.com/photo.php?fbid=10154361495540361&set=pcb.10154361495720361&type=1" rel="theater" ajaxify="https://www.facebook.com/photo.php?fbid=10154361495540361&set=pcb.10154361495720361&type=1&src=https%3A%2F%2Ffbcdn-sphotos-h-a.akamaihd.net%2Fhphotos-ak-xfp1%2Fv%2Ft1.0-9%2F1920433_10154361495540361_6499535865492072079_n.jpg%3Foh%3Da2e28acf093997559c4febe095b7dee9%26oe%3D5436BBDD%26__gda__%3D1414928013_d04da32dd00dfa737188ea66650a2ad7&size=960%2C720&source=13&player_origin=newsfeed" id="u_jsonp_5_w" style="top:0px; left:238px;"><div class="_46-h" style="width:232px;height:236px;"><img class="_46-i img" src="./ui_files/1920433_10154361495540361_6499535865492072079_n.jpg" style="left:-44px; top:0px;" alt="Krishnanand S Pai's 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class="UFICommentActorName" data-hovercard="/ajax/hovercard/hovercard.php?id=568670712&extragetparams=%7B%22hc_location%22%3A%22ufi%22%7D" data-ft="{"tn":";"}" dir="ltr" href="https://www.facebook.com/dhruv.jauhar?fref=ufi" data-reactid=".56.1:3:1:$comment10154361495720361_10154361548420361:0.0.$right.0.$left.0.0.$author.0">Dhruv Jauhar</a></span><span data-reactid=".56.1:3:1:$comment10154361495720361_10154361548420361:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".56.1:3:1:$comment10154361495720361_10154361548420361:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".56.1:3:1:$comment10154361495720361_10154361548420361:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".56.1:3:1:$comment10154361495720361_10154361548420361:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Making the most of a dry state <span class="emoticon_text" aria-hidden="true">:p</span><span title=":p" class="emoticon emoticon_tongue"></span></span></span></span><span data-reactid=".56.1:3:1:$comment10154361495720361_10154361548420361:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".56.1:3:1:$comment10154361495720361_10154361548420361:0.0.$right.0.$left.0.3"><span data-reactid=".56.1:3:1:$comment10154361495720361_10154361548420361:0.0.$right.0.$left.0.3.$metadata:0"><a class="uiLinkSubtle" href="https://www.facebook.com/headpai/posts/10154361495720361?comment_id=10154361548420361&offset=0&total_comments=3" data-ft="{"tn":"N"}" data-reactid=".56.1:3:1:$comment10154361495720361_10154361548420361:0.0.$right.0.$left.0.3.$metadata:0.$timestamp-message"><abbr class="livetimestamp" title="Sunday, July 27, 2014 at 10:57pm" data-utime="1406482044" data-shorten="true" data-reactid=".56.1:3:1:$comment10154361495720361_10154361548420361:0.0.$right.0.$left.0.3.$metadata:0.$timestamp-message.0">3 hrs</abbr></a></span><span 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href="https://www.facebook.com/headpai?fref=ufi" data-reactid=".56.1:3:1:$comment10154361495720361_10154361554670361:0.0.$right.0.$left.0.0.$author.0">Krishnanand S Pai</a></span><span data-reactid=".56.1:3:1:$comment10154361495720361_10154361554670361:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".56.1:3:1:$comment10154361495720361_10154361554670361:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".56.1:3:1:$comment10154361495720361_10154361554670361:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".56.1:3:1:$comment10154361495720361_10154361554670361:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Yeah man...totally new things to do</span></span></span><span data-reactid=".56.1:3:1:$comment10154361495720361_10154361554670361:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".56.1:3:1:$comment10154361495720361_10154361554670361:0.0.$right.0.$left.0.3"><span 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data-reactid=".56.1:3:1:$comment10154361495720361_10154361558500361:0.0.$right.0.$right.0"><span data-reactid=".56.1:3:1:$comment10154361495720361_10154361558500361:0.0.$right.0.$right.0.1">Remove</span></button></div><div class="" data-reactid=".56.1:3:1:$comment10154361495720361_10154361558500361:0.0.$right.0.$left"><div class="UFICommentContentBlock" data-reactid=".56.1:3:1:$comment10154361495720361_10154361558500361:0.0.$right.0.$left.0"><div class="UFICommentContent" data-reactid=".56.1:3:1:$comment10154361495720361_10154361558500361:0.0.$right.0.$left.0.0"><span data-reactid=".56.1:3:1:$comment10154361495720361_10154361558500361:0.0.$right.0.$left.0.0.$author"><a class="UFICommentActorName" data-hovercard="/ajax/hovercard/hovercard.php?id=568670712&extragetparams=%7B%22hc_location%22%3A%22ufi%22%7D" data-ft="{"tn":";"}" dir="ltr" href="https://www.facebook.com/dhruv.jauhar?fref=ufi" data-reactid=".56.1:3:1:$comment10154361495720361_10154361558500361:0.0.$right.0.$left.0.0.$author.0">Dhruv Jauhar</a></span><span data-reactid=".56.1:3:1:$comment10154361495720361_10154361558500361:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".56.1:3:1:$comment10154361495720361_10154361558500361:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".56.1:3:1:$comment10154361495720361_10154361558500361:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".56.1:3:1:$comment10154361495720361_10154361558500361:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Hahaha I guess you would be a changed man by the time you get back to gurgaon :l</span></span></span><span data-reactid=".56.1:3:1:$comment10154361495720361_10154361558500361:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".56.1:3:1:$comment10154361495720361_10154361558500361:0.0.$right.0.$left.0.3"><span 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data-ft="{"qid":"6040832212780584222","mf_story_key":"-7463363901000223798","fbfeed_location":1,"insertion_position":10}" data-cursor="MTQwNjQ5MDg1MjoxNDA2NDkwODUyOjExOi03NDYzMzYzOTAxMDAwMjIzNzk4OjE0MDYzNDgxMDM6MA==" data-dedupekey="-7463363901000223798" data-timestamp="1406348103" id="u_jsonp_5_z" data-insertion-position="10"><div class="userContentWrapper _5pcr _3ccb" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_5_10" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_5_1b"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/Kaul046?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=709875210"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/1465380_10152042892260211_430644926_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h5 class="_5pbw" data-ft="{"tn":"C"}"><div class="fwn fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/Kaul046" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=709875210">Mukut Kaul</a></span> updated his cover photo.</span></div></h5><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/photo.php?fbid=10152544089270211&set=a.10150529748560211.426869.709875210&type=1" rel="theater" 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this.</span></span></div></div></div></div></li><li class="UFIRow UFIFirstComment UFIFirstCommentComponent UFIComment display UFIComponent" data-ft="{"tn":"R0"}" data-reactid=".5c.1:3:1:$comment10152544089270211_10152544318465211:0"><div class="clearfix" data-reactid=".5c.1:3:1:$comment10152544089270211_10152544318465211:0.0"><div class="_ohe lfloat" data-reactid=".5c.1:3:1:$comment10152544089270211_10152544318465211:0.0.$left"><a class="img _8o _8s UFIImageBlockImage" href="https://www.facebook.com/goelmaya?fref=ufi" data-hovercard="/ajax/hovercard/hovercard.php?id=682736689&extragetparams=%7B%22hc_location%22%3A%22ufi%22%7D" data-ft="{"tn":"T"}" tabindex="-1" aria-hidden="true" data-reactid=".5c.1:3:1:$comment10152544089270211_10152544318465211:0.0.$left.0"><img src="./ui_files/165348_10150107805621690_7004606_n.jpg" class="img UFIActorImage _54ru" alt="" data-reactid=".5c.1:3:1:$comment10152544089270211_10152544318465211:0.0.$left.0.0"></a></div><div class="" 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data-reactid=".5c.1:3:1:$comment10152544089270211_10152544318465211:0.0.$right.0.$left.0.0"><span data-reactid=".5c.1:3:1:$comment10152544089270211_10152544318465211:0.0.$right.0.$left.0.0.$author"><a class="UFICommentActorName" data-hovercard="/ajax/hovercard/hovercard.php?id=682736689&extragetparams=%7B%22hc_location%22%3A%22ufi%22%7D" data-ft="{"tn":";"}" dir="ltr" href="https://www.facebook.com/goelmaya?fref=ufi" data-reactid=".5c.1:3:1:$comment10152544089270211_10152544318465211:0.0.$right.0.$left.0.0.$author.0">Mayank Goel</a></span><span data-reactid=".5c.1:3:1:$comment10152544089270211_10152544318465211:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".5c.1:3:1:$comment10152544089270211_10152544318465211:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".5c.1:3:1:$comment10152544089270211_10152544318465211:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".5c.1:3:1:$comment10152544089270211_10152544318465211:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Mood mai kyun hai?</span></span></span><span data-reactid=".5c.1:3:1:$comment10152544089270211_10152544318465211:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".5c.1:3:1:$comment10152544089270211_10152544318465211:0.0.$right.0.$left.0.3"><span data-reactid=".5c.1:3:1:$comment10152544089270211_10152544318465211:0.0.$right.0.$left.0.3.$metadata:0"><a class="uiLinkSubtle" href="https://www.facebook.com/photo.php?fbid=10152544089270211&set=a.10150529748560211.426869.709875210&type=1&comment_id=10152544318465211&offset=0&total_comments=2" data-ft="{"tn":"N"}" data-reactid=".5c.1:3:1:$comment10152544089270211_10152544318465211:0.0.$right.0.$left.0.3.$metadata:0.$timestamp-message"><abbr class="livetimestamp" title="Saturday, July 26, 2014 at 1:52pm" data-utime="1406362968" data-shorten="true" data-reactid=".5c.1:3:1:$comment10152544089270211_10152544318465211:0.0.$right.0.$left.0.3.$metadata:0.$timestamp-message.0">July 26 at 1:52pm</abbr></a></span><span data-reactid=".5c.1:3:1:$comment10152544089270211_10152544318465211:0.0.$right.0.$left.0.3.$likeToggle:0:$MIDDOT:0"> · </span><a class="UFILikeLink" data-ft="{"tn":">"}" href="https://www.facebook.com/#" role="button" title="Like this comment" data-reactid=".5c.1:3:1:$comment10152544089270211_10152544318465211:0.0.$right.0.$left.0.3.$likeToggle:0:$action:0">Like</a><span data-reactid=".5c.1:3:1:$comment10152544089270211_10152544318465211:0.0.$right.0.$left.0.3.$likeCount:0:$MIDDOT:0"> · </span><a ajaxify="/ajax/browser/dialog/likes?id=10152544318465211" class="UFICommentLikeButton" data-hover="tooltip" data-tooltip-alignh="center" data-tooltip-uri="/ajax/like/tooltip.php?comment_fbid=10152544318465211&comment_from=682736689&comment_likecount=1&comment_id=10152544089270211_10152544318465211&cache_buster=0" 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data-hovercard="/ajax/hovercard/hovercard.php?id=709875210&extragetparams=%7B%22hc_location%22%3A%22ufi%22%7D" data-ft="{"tn":";"}" dir="ltr" href="https://www.facebook.com/Kaul046?fref=ufi" data-reactid=".5c.1:3:1:$comment10152544089270211_10152544349035211:0.0.$right.0.$left.0.0.$author.0">Mukut Kaul</a></span><span data-reactid=".5c.1:3:1:$comment10152544089270211_10152544349035211:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".5c.1:3:1:$comment10152544089270211_10152544349035211:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".5c.1:3:1:$comment10152544089270211_10152544349035211:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".5c.1:3:1:$comment10152544089270211_10152544349035211:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Haha.</span></span></span><span data-reactid=".5c.1:3:1:$comment10152544089270211_10152544349035211:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg 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data-reactid=".5g.1:3:1:$comment780486001973095_780488445306184:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".5g.1:3:1:$comment780486001973095_780488445306184:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".5g.1:3:1:$comment780486001973095_780488445306184:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0"> Santa samundar me dahi dal raha tha Banta-kya kar rahe ho? Santa-lassi bana raha hu! Banta-teri isi harkato se log humpe haste hai, ab itni lassi kon piyega be?</span></span></span><span data-reactid=".5g.1:3:1:$comment780486001973095_780488445306184:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".5g.1:3:1:$comment780486001973095_780488445306184:0.0.$right.0.$left.0.3"><a class="UFILikeLink" data-ft="{"tn":">"}" href="https://www.facebook.com/#" role="button" title="Like this comment" data-reactid=".5g.1:3:1:$comment780486001973095_780488445306184:0.0.$right.0.$left.0.3.$likeToggle:0">Like</a><span data-reactid=".5g.1:3:1:$comment780486001973095_780488445306184:0.0.$right.0.$left.0.3.$commentReply:0:$MIDDOT:0"> · </span><a class="UFIReplyLink" href="https://www.facebook.com/#" data-reactid=".5g.1:3:1:$comment780486001973095_780488445306184:0.0.$right.0.$left.0.3.$commentReply:0:$action:0">Reply</a><span data-reactid=".5g.1:3:1:$comment780486001973095_780488445306184:0.0.$right.0.$left.0.3.$likeCount:0:$MIDDOT:0"> · 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data-hovercard="/ajax/hovercard/hovercard.php?id=1459968520&extragetparams=%7B%22hc_location%22%3A%22ufi%22%7D" data-ft="{"tn":";"}" dir="ltr" href="https://www.facebook.com/rubaiz.mp?fref=ufi" data-reactid=".5g.1:3:1:$comment780486001973095_780486195306409:0.0.$right.0.$left.0.0.$author.0">Rubaiz Muhamed Mp</a></span><span data-reactid=".5g.1:3:1:$comment780486001973095_780486195306409:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".5g.1:3:1:$comment780486001973095_780486195306409:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".5g.1:3:1:$comment780486001973095_780486195306409:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".5g.1:3:1:$comment780486001973095_780486195306409:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">we miss you dear sachin tendulkar very badly</span></span></span><span data-reactid=".5g.1:3:1:$comment780486001973095_780486195306409:0.0.$right.0.$left.0.0.4"></span></div><div 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data-ft="{"qid":"6040832212780584222","mf_story_key":"8541690747483329817","fbfeed_location":1,"insertion_position":12}" data-cursor="MTQwNjQ5MDg1MjoxNDA2NDkwODUyOjEzOjg1NDE2OTA3NDc0ODMzMjk4MTc6MTQwNjMyNzM0Njow" data-dedupekey="8541690747483329817" data-timestamp="1406327346" id="u_jsonp_5_16"><div class="userContentWrapper _5pcr _3ccb" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_5_17" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_5_1f"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/anand3mit?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=638822118"><img class="_s0 _5xib _5sq7 _rw img" 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data-reactid=".59.1:3:1:$comment10153014476352119_10153015933217119:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".59.1:3:1:$comment10153014476352119_10153015933217119:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">ruk kyun gaya...thoda aage ja taarzan</span></span></span><span data-reactid=".59.1:3:1:$comment10153014476352119_10153015933217119:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".59.1:3:1:$comment10153014476352119_10153015933217119:0.0.$right.0.$left.0.3"><span data-reactid=".59.1:3:1:$comment10153014476352119_10153015933217119:0.0.$right.0.$left.0.3.$metadata:0"><a class="uiLinkSubtle" href="https://www.facebook.com/photo.php?fbid=10153014476352119&set=a.10150534509987119.443689.638822118&type=1&comment_id=10153015933217119&offset=0&total_comments=6" data-ft="{"tn":"N"}" data-reactid=".59.1:3:1:$comment10153014476352119_10153015933217119:0.0.$right.0.$left.0.3.$metadata:0.$timestamp-message"><abbr class="livetimestamp" title="Saturday, July 26, 2014 at 8:17pm" data-utime="1406386063" data-shorten="true" data-reactid=".59.1:3:1:$comment10153014476352119_10153015933217119:0.0.$right.0.$left.0.3.$metadata:0.$timestamp-message.0">July 26 at 8:17pm</abbr></a></span><span data-reactid=".59.1:3:1:$comment10153014476352119_10153015933217119:0.0.$right.0.$left.0.3.$likeToggle:0:$MIDDOT:0"> · </span><a class="UFILikeLink" data-ft="{"tn":">"}" href="https://www.facebook.com/#" role="button" title="Like this comment" data-reactid=".59.1:3:1:$comment10153014476352119_10153015933217119:0.0.$right.0.$left.0.3.$likeToggle:0:$action:0">Like</a></div><a class="UFICommentCloseButton _50zy _50-0 _50z- _5upp _42ft" href="https://www.facebook.com/#" aria-label="Hide" data-hover="tooltip" data-tooltip-alignh="center" data-reactid=".59.1:3:1:$comment10153014476352119_10153015933217119:0.0.$right.0.$left.0.4"></a></div></div></div></div></div></li><li class="UFIRow UFIComponent UFIAddComment 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fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/profile.php?id=580061482" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=580061482&extragetparams=%7B%22directed_target_id%22%3A1486334851608134%7D">Manoj Kumar</a></span> changed the name of the group "रामधारी सिंह "दिनकर"" to "राष्ट्रकवि रामधारी सिंह "दिनकर"".</span></div></h5><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/groups/1486334851608134/permalink/1486340071607612/"><abbr title="Saturday, July 26, 2014 at 4:05pm" data-utime="1406370903" data-shorten="1" class="_5ptz">July 26 at 4:05pm</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_6_r" aria-label="Shared with: Members of राष्ट्रकवि रामधारी सिंह "दिनकर""><i class="lock img sp_843e1e 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_509- _4ki" data-ft="{"tn":"l"}"><li class="_43q7 _8yc"><a data-hover="tooltip" aria-label="Tina Madsam Tinzin" class="link" href="https://www.facebook.com/tina.bhardwaj.39" data-jsid="anchor"><img class="_s0 _ry img" src="./ui_files/1545234_10203032994129653_1979303625_n.jpg" alt="Tina Madsam Tinzin" data-jsid="img"></a></li><li class="_43q7 _8yc"><a data-hover="tooltip" aria-label="Abhinav Bhaskar" class="link" href="https://www.facebook.com/abhinav.bhaskar" data-jsid="anchor"><img class="_s0 _ry img" src="./ui_files/1896767_10152157479905219_443007042_n.jpg" alt="Abhinav Bhaskar" data-jsid="img"></a></li><li class="_43q7 _8yc"><a data-hover="tooltip" aria-label="Siddharth Dixit" class="link" href="https://www.facebook.com/siddharth.dixit.104" data-jsid="anchor"><img class="_s0 _ry img" src="./ui_files/10433838_10203667792952698_6520676624572670771_n.jpg" alt="Siddharth Dixit" data-jsid="img"></a></li><li class="_43q7 _8yc"><a data-hover="tooltip" aria-label="Manoj Kumar" class="link" href="https://www.facebook.com/profile.php?id=580061482" data-jsid="anchor"><img class="_s0 _ry img" src="./ui_files/1536538_10152075640646483_3158895479096722019_n.jpg" alt="Manoj Kumar" data-jsid="img"></a></li></ul></div></div></div></div></div></div></div><div><form rel="async" class="live_1486340071607612_316526391751760 commentable_item autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_6_l" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQEyGbQa5Wgu" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"580061482","target_fbid":"1486340071607612","target_profile_id":"","type_id":"308","assoc_obj_id":"1486334851608134","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406370902","check_hash":"AQA54vhKsHN53Kv0","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp _5vsi"><span><span data-reactid=".67"><a class="UFILikeLink accessible_elem" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-reactid=".67.0">Like</a><a class="UFILikeLink" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-ft="{"tn":">"}" data-reactid=".67.1">Like</a></span></span> · <label class="uiLinkButton comment_link" title="Leave a comment"><input class="uiLinkButtonInput" data-ft="{"type":24,"tn":"S"}" type="button" value="Comment" onclick="return 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textBoxContainer ReactLegacyMentionsInput" data-reactid=".68.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".68.1:4.0.$right.0.0.0.0.0"><div data-reactid=".68.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" data-reactid=".68.1:4.0.$right.0.0.0.0.0.0.0"></span></div></div><div class="uiTypeahead mentionsTypeahead" data-reactid=".68.1:4.0.$right.0.0.0.0.1"><div class="wrap" data-reactid=".68.1:4.0.$right.0.0.0.0.1.0"><input type="hidden" autocomplete="off" class="hiddenInput" data-reactid=".68.1:4.0.$right.0.0.0.0.1.0.0"><div class="innerWrap" data-reactid=".68.1:4.0.$right.0.0.0.0.1.0.1"><textarea name="add_comment_text" class="textInput mentionsTextarea uiTextareaAutogrow uiTextareaNoResize UFIAddCommentInput DOMControl_placeholder" title="Write a comment..." placeholder="Write a comment..." data-reactid=".68.1:4.0.$right.0.0.0.0.1.0.1.0">Write a comment...</textarea></div></div></div><input type="hidden" autocomplete="off" class="mentionsHidden" value="" data-reactid=".68.1:4.0.$right.0.0.0.0.2"></div><div class="UFICommentAttachmentButtons clearfix" data-reactid=".68.1:4.0.$right.0.0.0.1"><div class="UFIPhotoAttachLinkWrapper _m" data-hover="tooltip" data-tooltip-alignh="center" aria-label="Attach a Photo" data-reactid=".68.1:4.0.$right.0.0.0.1.0"><i class="UFICommentPhotoIcon" data-reactid=".68.1:4.0.$right.0.0.0.1.0.0"><input type="file" accept="image/*" class="_n" name="file" title="Choose a file to upload" aria-label="Choose a file to upload"></i></div></div></div></div></div></div></div></li></ul></div></form></div></div></div><div class="_4-u2 mbm _5jmm _5pat _5v3q _5x16 _2l4l" data-ft="{"qid":"6040833772564963057","mf_story_key":"-9197047082979487606","fbfeed_location":1,"insertion_position":14}" data-cursor="MTQwNjQ5MDg1MjoxNDA2NDkwODUyOjE1Oi05MTk3MDQ3MDgyOTc5NDg3NjA2OjE0MDY0NzQxMzE6MA==" data-dedupekey="-9197047082979487606" data-timestamp="1406474131" id="u_jsonp_6_3" aria-labelledby="js_89 js_90 js_91 js_92"><div class="userContentWrapper _5pcr _3ccb" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div><h5 class="_1qbu _5pbw" data-ft="{"tn":"C"}" id="js_89"><div class="fwn fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/swati.mehrotra.39" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=100001006883430">Swati Mehrotra</a></span> was tagged in <a class="profileLink" href="https://www.facebook.com/TheTickleTroll?ref=stream" data-ft="{"tn":"k"}" data-hovercard="/ajax/hovercard/page.php?id=147670868677714">LOLComics - The Tickle Troll</a>'s <a class="profileLink" href="https://www.facebook.com/TheTickleTroll/photos/a.162355227209278.31589.147670868677714/602333113211485/?type=1" data-ft="{"tn":"E"}">photo</a>.</span></div></h5></div><div class="userContent"></div><div><div><div class="userContentWrapper _5pcr _5pbu _5mxv _3ccb" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_6_8" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_6_h"></a></div></div><span id="u_jsonp_6_e" class="uiLikePageButton _47we _42b7"><button value="1" class="_42ft _4jy0 PageLikeButton _4jy3 _517h" data-profileid="147670868677714" data-ft="{"type":28,"tn":"c"}" data-ownerid="u_jsonp_6_e" id="u_jsonp_6_f" type="submit"><img class="_3-8_ img" src="./ui_files/2KL1UzJC9rt.png" alt="" width="12" height="13">Like Page</button></span><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/TheTickleTroll?ref=stream" aria-hidden="true" tabindex="-1" data-ft="{"tn":"\u003C"}" data-hovercard="/ajax/hovercard/page.php?id=147670868677714"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/65174_307396126038520_400530251_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_90"><div class="fwn fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/TheTickleTroll?ref=stream" data-ft="{"tn":"k"}" data-hovercard="/ajax/hovercard/page.php?id=147670868677714">LOLComics - The Tickle Troll</a></span> with <a class="profileLink" href="https://www.facebook.com/swati.mehrotra.39" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=100001006883430">Swati Mehrotra</a> and <a data-hover="tooltip" aria-label="Kitza Rodriguez
Shubham Anchal
Sos Naulak
Milan Limbu
Taara Renaa
Kirankumar Yengkhom
Shraddha Sengupta
Diwakar Dachepalli
Atul Frank II
Deepak Kumar
Destiny Galati
Jainish Mistry
Dipen Prajapati
TeeRth Patel
Yash Salunke
Pratap Yadav
Akshay Singh
Yash Soni
Austin Gregory
Ankit Chauhan" data-tooltip-position="below" href="https://www.facebook.com/#" ajaxify="/ajax/browser/dialog/participants/?q=AeJ4k9xRGxWi-5qf6h_CCcfzkbRLId5FsRsn2iG7FIGSRCzYPZ1onB0UNYkKF0FRFFG0ony1VJCziWUNTQi9yL_rr_w5ypgox0LBox2sp4jHBsYNvzb8flBQ02YnfSi7SeDFXs4K65URzLo033uXTlBzUgq0JY9ozJWMYLo8ZqnN9zKJJ2UKt9nbqmcC6ZJiwxurDOzxvz3KorS0G6bI9Z-LGJMOveUJsskO-BxHtHrJnV4Rf7z36j0nmX6jOLmMI64YfZV-LTnia0S6DK72-aOu3NMok3HrPMkvq4WbO4gqXXguevSL1DBRZA00_FRI4lxjPpFK_LWY_fG0Hwk-45zyPFqksi3Ep1qmA93PYUpvlXlEa-ZJF_QCiGYSaie7InaghwgBqlZGF_p6vVqmslcBCcUjdi3RlAxMiuVh1mDZrFYmCPyy_sRpV8nOmJeFTlAOD9jpfJSDNilU5kVtPCQBqQo6QoO1BS1E3LDB-Mpl4Q" rel="dialog" data-ft="{"tn":"l"}" role="button">20 others</a></span></div></h6><div class="_5pcp" id="js_91"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/TheTickleTroll/photos/a.162355227209278.31589.147670868677714/602333113211485/?type=1" rel="theater" ajaxify="https://www.facebook.com/TheTickleTroll/photos/a.162355227209278.31589.147670868677714/602333113211485/?type=1&src=https%3A%2F%2Ffbcdn-sphotos-e-a.akamaihd.net%2Fhphotos-ak-xfp1%2Ft1.0-9%2F10468364_602333113211485_1467230280389684532_n.jpg&size=640%2C480&fbid=602333113211485&source=12&player_origin=newsfeed"><abbr title="Sunday, July 27, 2014 at 8:31pm" data-utime="1406473260" data-shorten="1" class="_5ptz timestamp livetimestamp">5 hrs</abbr></a></span></span> · <a data-hover="tooltip" aria-label="Custom" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button"><i class="lock img sp_KDSzhRZRVse sx_0652dd"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}" id="js_92"><p>Tag your Friends</p></div><div><div data-ft="{"tn":"H"}"><div class="_5cq3 mtm" data-ft="{"tn":"E"}"><a class="_4-eo _2t9n" href="https://www.facebook.com/TheTickleTroll/photos/a.162355227209278.31589.147670868677714/602333113211485/?type=1" rel="theater" ajaxify="https://www.facebook.com/TheTickleTroll/photos/a.162355227209278.31589.147670868677714/602333113211485/?type=1&src=https%3A%2F%2Ffbcdn-sphotos-e-a.akamaihd.net%2Fhphotos-ak-xfp1%2Ft1.0-9%2F10468364_602333113211485_1467230280389684532_n.jpg&size=640%2C480&fbid=602333113211485&player_origin=newsfeed" style="width:470px;"><div class="_46-h _4-ep" style="width:470px;height:352px;" id="u_jsonp_6_9"><img class="_46-i img" src="./ui_files/10468364_602333113211485_1467230280389684532_n.jpg" style="left:-5px; top:0px;" alt="Tag your Friends" width="480" height="360"></div></a></div></div></div><div><form rel="async" class="commentable_item hidden_add_comment collapsed_comments" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" id="u_jsonp_6_o" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQEyGbQa5Wgu" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"147670868677714","target_fbid":"602333113211485","target_profile_id":"147670868677714","type_id":"7","assoc_obj_id":"","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406473260","check_hash":"AQAFe0b_WbE6R3fm","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp _5vsi"><span><span data-reactid=".6a"><a class="UFILikeLink accessible_elem" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-reactid=".6a.0">Like</a><a class="UFILikeLink" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-ft="{"tn":">"}" 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data-reactid=".69.$like.1">3,470</span></span><span data-reactid=".69.$comment"><i class="mls UFIBlingBoxCommentIcon UFIBlingBoxSprite" data-reactid=".69.$comment.0"></i><span class="UFIBlingBoxText" data-reactid=".69.$comment.1">172</span></span><span data-reactid=".69.$reshare"><i class="mls UFIBlingBoxReshareIcon UFIBlingBoxSprite" data-reactid=".69.$reshare.0"></i><span class="UFIBlingBoxText" data-reactid=".69.$reshare.1">209</span></span></a></span></div></div></div><div class="uiUfi UFIContainer _5pc9 _5vsj _5v9k" id="u_jsonp_6_q"><ul class="UFIList" data-reactid=".6c"><li class="UFIRow UFILikeSentence UFIFirstComponent" data-reactid=".6c.1:0"><div class="clearfix" data-reactid=".6c.1:0.0"><div class="_ohe lfloat" data-reactid=".6c.1:0.0.$left"><a class="img _8o _8r UFIImageBlockImage UFILikeThumb" href="https://www.facebook.com/#" tabindex="-1" title="Like this" role="button" aria-label="Like this" data-reactid=".6c.1:0.0.$left.0"><i class="UFILikeIcon" 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data-reactid=".6c.1:0.0.$right.0.$left.0.0"><a rel="dialog" ajaxify="/ajax/browser/dialog/likes?id=602333113211485&actorid=147670868677714" href="https://www.facebook.com/browse/likes?id=602333113211485&actorid=147670868677714" data-hover="tooltip" data-tooltip-alignh="center" data-tooltip-uri="/ajax/like/tooltip.php?comment_fbid=602333113211485&comment_from=100000590753545&seen_user_fbids=true&__av=100000590753545" role="button" data-reactid=".6c.1:0.0.$right.0.$left.0.0.$range0:0">3,470 people</a><span data-reactid=".6c.1:0.0.$right.0.$left.0.0.$end:0:$0:0"> like this.</span></span></div></div></div></div></div></li><li class="UFIRow UFIShareRow" data-reactid=".6c.1:1"><div class="clearfix" data-reactid=".6c.1:1.0"><div class="_ohe lfloat" data-reactid=".6c.1:1.0.$left"><a class="img _8o _8r UFIImageBlockImage UFIShareIcon" rel="dialog" ajaxify="/ajax/shares/view?target_fbid=602333113211485" href="https://www.facebook.com/shares/view?id=602333113211485" tabindex="-1" 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data-reactid=".6c.1:3:1:$comment602333113211485_602648406513289:0.0.$right.0.$left.0.3.$likeCount:0:$action:0.1">2</span></a><span data-reactid=".6c.1:3:1:$comment602333113211485_602648406513289:0.0.$right.0.$left.0.3.$metadata:0:$MIDDOT:0"> · </span><span data-reactid=".6c.1:3:1:$comment602333113211485_602648406513289:0.0.$right.0.$left.0.3.$metadata:0:$action:0"><a class="uiLinkSubtle" href="https://www.facebook.com/TheTickleTroll/photos/a.162355227209278.31589.147670868677714/602333113211485/?type=1&comment_id=602648406513289&offset=0&total_comments=172" data-ft="{"tn":"N"}" data-reactid=".6c.1:3:1:$comment602333113211485_602648406513289:0.0.$right.0.$left.0.3.$metadata:0:$action:0.$timestamp-message"><abbr class="livetimestamp" title="Sunday, July 27, 2014 at 8:37pm" data-utime="1406473658" data-shorten="true" data-reactid=".6c.1:3:1:$comment602333113211485_602648406513289:0.0.$right.0.$left.0.3.$metadata:0:$action:0.$timestamp-message.0">5 hrs</abbr></a></span></div><a 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data-shorten="true" data-reactid=".6c.1:3:1:$replies602333113211485_602648406513289:0.1:0.0.0.$right.0.0.1.1">3 hrs</abbr></span></span></div></div></div></a></li></ul><li class="UFIRow UFIPagerRow UFIComponent UFILastCommentComponent UFILastComponent" data-reactid=".6c.1:3:$bottomPager"><div class="clearfix" data-reactid=".6c.1:3:$bottomPager.0"><div class="_ohe lfloat" data-reactid=".6c.1:3:$bottomPager.0.$left"><a class="img _8o _8r UFIImageBlockImage UFIPagerIcon" href="https://www.facebook.com/#" role="button" tabindex="-1" aria-hidden="true" data-reactid=".6c.1:3:$bottomPager.0.$left.0"></a></div><div class="" data-reactid=".6c.1:3:$bottomPager.0.$right"><div class="UFIImageBlockContent _42ef _8u clearfix" data-reactid=".6c.1:3:$bottomPager.0.$right.0"><div class="_ohf rfloat" data-reactid=".6c.1:3:$bottomPager.0.$right.0.$right"><span class="fcg UFIPagerCount" data-reactid=".6c.1:3:$bottomPager.0.$right.0.$right.0">2 of 172</span></div><div class="" 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href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_6_b"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/arpitsachdeva8?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=634847246"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/10385414_10152558563797247_487558822477919704_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h5 class="_5pbw" data-ft="{"tn":"C"}"><div class="fwn fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/arpitsachdeva8" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=634847246">Arpit Sachdeva</a></span> changed his profile picture.</span></div></h5><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/photo.php?fbid=10152558563797247&set=a.486865402246.278475.634847246&type=1" rel="theater" ajaxify="https://www.facebook.com/photo.php?fbid=10152558563797247&set=a.486865402246.278475.634847246&type=1&src=https%3A%2F%2Ffbcdn-sphotos-c-a.akamaihd.net%2Fhphotos-ak-xap1%2Ft31.0-8%2F10498641_10152558563797247_487558822477919704_o.jpg&smallsrc=https%3A%2F%2Ffbcdn-sphotos-c-a.akamaihd.net%2Fhphotos-ak-xap1%2Ft31.0-8%2Fs960x960%2F10498641_10152558563797247_487558822477919704_o.jpg&size=1365%2C2048&source=12&player_origin=newsfeed"><abbr title="Monday, July 28, 2014 at 1:09am" data-utime="1406489986" data-shorten="1" class="_5ptz timestamp livetimestamp">1 hr</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_6_s" aria-label="Shared with: Public"><i class="lock img sp_xFwBv1W8Ynk 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data-reactid=".66.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".66.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur Kumar" data-reactid=".66.1:4.0.$left.0.0"></div></div><div class="" data-reactid=".66.1:4.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".66.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".66.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".66.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".66.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".66.1:4.0.$right.0.0.0.0.0"><div data-reactid=".66.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" data-reactid=".66.1:4.0.$right.0.0.0.0.0.0.0"></span></div></div><div class="uiTypeahead mentionsTypeahead" data-reactid=".66.1:4.0.$right.0.0.0.0.1"><div 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class="profileLink" href="https://www.facebook.com/puja.sharma.1044" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=100000043307961">Pooja Khan</a></span> was tagged in a <a class="profileLink" href="https://www.facebook.com/photo.php?fbid=941627289198439&set=a.185711081456734.48679.100000535302055&type=1" data-ft="{"tn":"E"}">post</a>.</span></div></h5></div><div class="userContent"></div><div><div><div class="userContentWrapper _5pcr _5pbu _5mxv _3ccb" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_6_x" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_6_1b"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/osama.khan.315865?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=100000535302055"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/10547515_935089553185546_5305019595542157735_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_94"><div class="fwn fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/osama.khan.315865" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=100000535302055">Osama Khan</a></span> with <a class="profileLink" href="https://www.facebook.com/puja.sharma.1044" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=100000043307961">Pooja Khan</a></span></div></h6><div class="_5pcp" id="js_95"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/photo.php?fbid=941627289198439&set=a.185711081456734.48679.100000535302055&type=1" rel="theater" ajaxify="https://www.facebook.com/photo.php?fbid=941627289198439&set=a.185711081456734.48679.100000535302055&type=1&src=https%3A%2F%2Ffbcdn-sphotos-g-a.akamaihd.net%2Fhphotos-ak-xaf1%2Ft1.0-9%2F10494608_941627289198439_8921514735702639328_n.jpg&size=234%2C215&source=12&player_origin=newsfeed"><abbr title="Monday, July 28, 2014 at 1:04am" data-utime="1406489655" data-shorten="1" class="_5ptz timestamp livetimestamp">1 hr</abbr></a> · <a class="_5pcq" href="https://www.facebook.com/pages/Doha/111612325521963" data-hovercard="/ajax/hovercard/page.php?id=111612325521963">Doha, Qatar</a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_6_23" aria-label="Shared with: Osama's friends and Pooja's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}" id="js_96"><p>EID Mubarak to all my family & friends!</p></div><div><div data-ft="{"tn":"H"}"><div class="_5cq3 mtm" data-ft="{"tn":"E"}"><a class="_4-eo" href="https://www.facebook.com/photo.php?fbid=941627289198439&set=a.185711081456734.48679.100000535302055&type=1" rel="theater" ajaxify="https://www.facebook.com/photo.php?fbid=941627289198439&set=a.185711081456734.48679.100000535302055&type=1&src=https%3A%2F%2Ffbcdn-sphotos-g-a.akamaihd.net%2Fhphotos-ak-xaf1%2Ft1.0-9%2F10494608_941627289198439_8921514735702639328_n.jpg&size=234%2C215&player_origin=newsfeed" style="width:234px;"><div class="uiScaledImageContainer _4-ep" style="width:234px;height:215px;" id="u_jsonp_6_17"><img class="scaledImageFitWidth img" src="./ui_files/10494608_941627289198439_8921514735702639328_n.jpg" alt="EID Mubarak to all my family & friends!" width="234" height="215"></div></a></div></div></div><div><form rel="async" class="live_941627289198439_316526391751760 commentable_item autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_6_1p" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQEyGbQa5Wgu" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"100000535302055","target_fbid":"941627289198439","target_profile_id":"100000535302055","type_id":"7","assoc_obj_id":"","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406489795","check_hash":"AQBzjE85UP2E0w-l","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp _5vsi"><span><span data-reactid=".6m"><a class="UFILikeLink accessible_elem" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-reactid=".6m.0">Like</a><a class="UFILikeLink" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-ft="{"tn":">"}" data-reactid=".6m.1">Like</a></span></span> · <label class="uiLinkButton comment_link" title="Leave a comment"><input class="uiLinkButtonInput" data-ft="{"type":24,"tn":"S"}" type="button" value="Comment" onclick="return fc_click(this);"></label> · <span><a class="share_action_link" data-ft="{ "tn": "J", "type": 25 }" href="https://www.facebook.com/ajax/sharer/?s=2&appid=2305272732&p[0]=100000535302055&p[1]=1073741853&share_source_type=unknown&__av=100000590753545" rel="dialog" title="Send this to friends or post it on your timeline." data-reactid=".6n">Share</a></span></div></div></div><div class="uiUfi UFIContainer _5pc9 _5vsj _5v9k" id="u_jsonp_6_1z"><ul class="UFIList" data-reactid=".6o"><li class="UFIRow UFILikeSentence UFIFirstComponent" data-reactid=".6o.1:0"><div class="clearfix" data-reactid=".6o.1:0.0"><div class="_ohe lfloat" data-reactid=".6o.1:0.0.$left"><a class="img _8o _8r UFIImageBlockImage UFILikeThumb" href="https://www.facebook.com/#" tabindex="-1" title="Like this" role="button" aria-label="Like this" data-reactid=".6o.1:0.0.$left.0"><i class="UFILikeIcon" data-reactid=".6o.1:0.0.$left.0.0"></i></a></div><div class="" data-reactid=".6o.1:0.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".6o.1:0.0.$right.0"><div class="UFILikeSentenceText" data-reactid=".6o.1:0.0.$right.0.0"><span data-reactid=".6o.1:0.0.$right.0.0.0"><a class="profileLink" dir="ltr" href="https://www.facebook.com/puja.sharma.1044" data-hovercard="/ajax/hovercard/hovercard.php?id=100000043307961&extragetparams=%7B%22hc_location%22%3A%22ufi%22%7D" data-reactid=".6o.1:0.0.$right.0.0.0.$range0:0">Pooja Khan</a><span data-reactid=".6o.1:0.0.$right.0.0.0.$text1:0:$0:0"> and </span><a rel="dialog" ajaxify="/ajax/browser/dialog/likes?id=941627289198439&actorid=100000535302055" href="https://www.facebook.com/browse/likes?id=941627289198439&actorid=100000535302055" data-hover="tooltip" data-tooltip-alignh="center" data-tooltip-uri="/ajax/like/tooltip.php?comment_fbid=941627289198439&comment_from=100000590753545&seen_user_fbids[0]=100000043307961&__av=100000590753545" role="button" data-reactid=".6o.1:0.0.$right.0.0.0.$range1:0">2 others</a><span data-reactid=".6o.1:0.0.$right.0.0.0.$end:0:$0:0"> like this.</span></span></div></div></div></div></li><li class="UFIRow UFIComponent UFIAddComment UFIAddCommentWithPhotoAttacher UFILastComponent" data-ft="{"tn":"["}" data-reactid=".6o.1:4"><div class="UFIMentionsInputWrap clearfix" data-reactid=".6o.1:4.0"><div class="_ohe lfloat" data-reactid=".6o.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".6o.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur Kumar" data-reactid=".6o.1:4.0.$left.0.0"></div></div><div class="" data-reactid=".6o.1:4.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".6o.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".6o.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".6o.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".6o.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".6o.1:4.0.$right.0.0.0.0.0"><div data-reactid=".6o.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" data-reactid=".6o.1:4.0.$right.0.0.0.0.0.0.0"></span></div></div><div class="uiTypeahead mentionsTypeahead" data-reactid=".6o.1:4.0.$right.0.0.0.0.1"><div class="wrap" data-reactid=".6o.1:4.0.$right.0.0.0.0.1.0"><input type="hidden" autocomplete="off" class="hiddenInput" data-reactid=".6o.1:4.0.$right.0.0.0.0.1.0.0"><div class="innerWrap" data-reactid=".6o.1:4.0.$right.0.0.0.0.1.0.1"><textarea name="add_comment_text" class="textInput mentionsTextarea uiTextareaAutogrow uiTextareaNoResize UFIAddCommentInput DOMControl_placeholder" title="Write a comment..." placeholder="Write a comment..." data-reactid=".6o.1:4.0.$right.0.0.0.0.1.0.1.0">Write a comment...</textarea></div></div></div><input type="hidden" autocomplete="off" class="mentionsHidden" value="" data-reactid=".6o.1:4.0.$right.0.0.0.0.2"></div><div class="UFICommentAttachmentButtons clearfix" data-reactid=".6o.1:4.0.$right.0.0.0.1"><div class="UFIPhotoAttachLinkWrapper _m" data-hover="tooltip" data-tooltip-alignh="center" aria-label="Attach a Photo" data-reactid=".6o.1:4.0.$right.0.0.0.1.0"><i class="UFICommentPhotoIcon" data-reactid=".6o.1:4.0.$right.0.0.0.1.0.0"><input type="file" accept="image/*" class="_n" name="file" title="Choose a file to upload" aria-label="Choose a file to upload"></i></div></div></div></div></div></div></div></li></ul></div></form></div></div></div></div></div></div><div class="_4-u2 mbm _5jmm _5pat _5v3q _5x16 _x72" data-ft="{"qid":"6040833772564963057","mf_story_key":"-8085334195100944490","fbfeed_location":1,"insertion_position":17}" data-cursor="MTQwNjQ4OTQyOToxNDA2NDg5NDI5OjE6LTgwODUzMzQxOTUxMDA5NDQ0OTA6MTQwNjQ4OTEyNzow" data-dedupekey="-8085334195100944490" data-timestamp="1406489127" id="u_jsonp_6_y" aria-labelledby="js_97 js_98 js_99" data-insertion-position="17"><div class="userContentWrapper _5pcr _3ccb" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_6_z" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_6_1j"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/n.saigoutham?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=1417670739"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/404260_2377516963492_1335824258_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h5 class="_5pbw" data-ft="{"tn":"C"}" id="js_97"><div class="fwn fcg"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/n.saigoutham" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=1417670739">Sai Goutham Nagarapu</a></span> shared <a class="profileLink" href="https://www.facebook.com/iimacultcomm" data-ft="{"tn":"k"}" data-hovercard="/ajax/hovercard/page.php?id=286239768110912">IIMA Cultural Committee</a>'s <a class="profileLink" href="https://www.facebook.com/iimacultcomm/photos/a.658720997529452.1073741853.286239768110912/658721010862784/?type=1" data-ft="{"tn":"E"}">photo</a>.</span></div></h5><div class="_5pcp" id="js_98"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/n.saigoutham/posts/10202339513075346"><abbr title="Monday, July 28, 2014 at 12:55am" data-utime="1406489127" data-shorten="1" class="_5ptz timestamp livetimestamp">1 hr</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_6_24" aria-label="Shared with: Public"><i class="lock img sp_xFwBv1W8Ynk sx_07a954"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}" id="js_99"><p>Friends. Please open this pic and like it.</p></div><div><div><div class="_5r69"><div class="mtm"><div data-ft="{"tn":"H"}"><div class="_5cq3 mtm" data-ft="{"tn":"E"}"><a class="_4-eo" href="https://www.facebook.com/iimacultcomm/photos/a.658720997529452.1073741853.286239768110912/658721010862784/?type=1" rel="theater" ajaxify="https://www.facebook.com/iimacultcomm/photos/a.658720997529452.1073741853.286239768110912/658721010862784/?type=1&src=https%3A%2F%2Ffbcdn-sphotos-c-a.akamaihd.net%2Fhphotos-ak-xaf1%2Ft1.0-9%2F1888532_658721010862784_7461861882730800784_n.jpg&size=679%2C960&fbid=658721010862784&player_origin=newsfeed" style="width:278px;"><div class="_46-h _4-ep" style="width:278px;height:394px;" id="u_jsonp_6_19"><img class="_46-i img" src="./ui_files/1888532_658721010862784_7461861882730800784_n.jpg" style="left:0px; top:0px;" alt="Section E" width="279" height="395"></div></a></div></div><div class="mtm plm _5pcm"><div class="mbs fwn fcg" data-ft="{"tn":"C"}"><span class="fcg"><span class="fwb"><a class="profileLink" href="https://www.facebook.com/iimacultcomm" data-ft="{"tn":"k"}" data-hovercard="/ajax/hovercard/page.php?id=286239768110912">IIMA Cultural Committee</a></span> with <a class="profileLink" href="https://www.facebook.com/yashsheelsrivastava" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=571910321">Yash Sheel Srivastava</a> and <a data-hover="tooltip" aria-label="Shaik Shabeena
Abhiram Thejus
Sujit Madhukar
Swati Tiwary
Suruchi Mundhra
Veeravilli Swathi
Ribhu Ranjan Saha
Utkarsh Garg
Rilu Debashis
Anurag Agrawal
Anurag Gupta
Haaris Mateen
Payal Rungta
Nitisha Tomar
Ankita Sharma
Nitesh Tigga
Danny Sagar
Tarun Varma Landa
Smit Chandra
Ishan Jain
Deepesh Agrawal" data-tooltip-position="below" href="https://www.facebook.com/#" ajaxify="/ajax/browser/dialog/participants/?q=AeLJ_MEn9Gh-SGhxArpAZKoMFbKPbp8ETNNM2u9bEudgQL-4qwBl4pW33fXqf_1YgRV2fYjq3-2S7iFPd26QlJiGmCTbOmfOg3XnDwc_1tb0NfvrSCAFLSVZrz6YIdFfK_kmbz9AUy3IJRW-DAZ-xBeRUmKspOb92sVjZLj5ZXWdOOo0Czl7FVBln4gJOj3bu3bT0VkqIRTWPd9uMAP8uB7M6uPDP7LC8pOEu5iuaRnamEHypNV2nWbBGOp0mEBfz6am4176lBkWVTDur_l94V1tti2EXDWMEX-qguRWxoyUAIf4b1YAs_9ka2aT0vq6OGZbToFOQVVGngQ8f2qKEVxxgfGTKXwedJ3coPcZA3vwysbzLfgpY5OvzufaOUfP2MDUaeIKZh7rDWhD2mAR8b5X8OGlC7FOeI9VhO9qVcGUJw" rel="dialog" data-ft="{"tn":"l"}" role="button">21 others</a></span></div><div class="mtm _5pco" data-ft="{"tn":"K"}"><p>Section E</p></div></div></div></div></div></div><div><form rel="async" class="live_10202339513075346_316526391751760 commentable_item autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_6_1q" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQEyGbQa5Wgu" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"1417670739","target_fbid":"10202339513075346","target_profile_id":"1417670739","type_id":"17","assoc_obj_id":"","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406489127","check_hash":"AQB2xyu5Fr8YqgeQ","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp _5vsi"><span><span data-reactid=".6g"><a class="UFILikeLink accessible_elem" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-reactid=".6g.0">Like</a><a class="UFILikeLink" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-ft="{"tn":">"}" data-reactid=".6g.1">Like</a></span></span> · <label class="uiLinkButton comment_link" title="Leave a comment"><input class="uiLinkButtonInput" data-ft="{"type":24,"tn":"S"}" type="button" value="Comment" onclick="return fc_click(this);"></label> · <span><a class="share_action_link" data-ft="{ "tn": "J", "type": 25 }" href="https://www.facebook.com/ajax/sharer/?s=2&appid=2305272732&p[0]=286239768110912&p[1]=1073742465&share_source_type=unknown&__av=100000590753545" rel="dialog" title="Send this to friends or post it on your timeline." data-reactid=".6h">Share</a></span></div></div></div><div class="uiUfi UFIContainer _5pc9 _5vsj _5v9k" id="u_jsonp_6_1v"><ul class="UFIList" data-reactid=".6i"><li class="UFIRow UFIComponent UFIAddComment UFIAddCommentWithPhotoAttacher UFIFirstComponent UFILastComponent" data-ft="{"tn":"["}" data-reactid=".6i.1:4"><div class="UFIMentionsInputWrap clearfix" data-reactid=".6i.1:4.0"><div class="_ohe lfloat" data-reactid=".6i.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".6i.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur Kumar" data-reactid=".6i.1:4.0.$left.0.0"></div></div><div class="" data-reactid=".6i.1:4.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".6i.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".6i.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".6i.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".6i.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".6i.1:4.0.$right.0.0.0.0.0"><div data-reactid=".6i.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" data-reactid=".6i.1:4.0.$right.0.0.0.0.0.0.0"></span></div></div><div class="uiTypeahead mentionsTypeahead" data-reactid=".6i.1:4.0.$right.0.0.0.0.1"><div class="wrap" 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accept="image/*" class="_n" name="file" title="Choose a file to upload" aria-label="Choose a file to upload"></i></div></div></div></div></div></div></div></li></ul></div></form></div></div></div><div class="_4-u2 mbm _5jmm _5pat _5v3q _5x16" 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data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=100001689681705" onmousedown="this.href = this.href.replace('__md__=0', '__md__=1');">Gautam Jha</a></span> and <a data-hover="tooltip" aria-label="Gautam Kumar
Ashish Khare" data-tooltip-position="below" href="https://www.facebook.com/#" ajaxify="/ajax/browser/dialog/participants/?q=AeKOOIMu2giU8OnNlKKJGCdkuC387InAG9X6bwLcvkCIzRlSDP1wO6YwrLk3ub6lHwREkkLNOxqxoJ-uosw30hHNyfxsOVqA3RRfRIIYz-Vw5g" rel="dialog" data-ft="{"tn":"l"}" role="button">2 other friends</a> like <a class="profileLink" 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data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.0.$author.0" onmousedown="this.href = this.href.replace('__md__=0', '__md__=1');">Saurabh Kathuria</a></span><span data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Fraud... I placed an order and they sent it to someone else...and no one is listening to this... Fraud Fraud... DONT BUY ANYTHING FROM THIS WEBSITE...</span></span></span><span data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.3"><a class="UFILikeLink" data-ft="{"tn":">"}" href="https://www.facebook.com/#" role="button" title="Like this comment" data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.3.$likeToggle:0">Like</a><span data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.3.$commentReply:0:$MIDDOT:0"> · </span><a class="UFIReplyLink" href="https://www.facebook.com/#" data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.3.$commentReply:0:$action:0">Reply</a><span data-reactid=".6s.1:3:1:$comment674348209285445_696991600354439:0.0.$right.0.$left.0.3.$metadata:0:$MIDDOT:0"> · </span><span 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data-ft="{"tn":"F"}">video</a>.</span></div></h5><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/abhimanyusangwan/posts/10152140848596853"><abbr title="Monday, July 28, 2014 at 12:58am" data-utime="1406489284" data-shorten="1" class="_5ptz timestamp livetimestamp">1 hr</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_1g" aria-label="Shared with: Abhimanyu's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="userContent"></div><div><div><div class="_5r69"><div class="mtm"><div data-ft="{"tn":"H"}"><div class="_6n_ mtm" style="width:240px;" data-ft="{"tn":"F"}"><a href="https://www.facebook.com/photo.php?v=944982042195170&fref=nf" rel="theater" ajaxify="https://www.facebook.com/photo.php?v=944982042195170&fref=nf&player_origin=newsfeed"><div class="uiScaledImageContainer _57tt" style="width:240px;height:320px;"><img class="scaledImageFitWidth img" src="./ui_files/10502834_944982168861824_944982042195170_12642_1610_b.jpg" alt="" width="240" height="320"></div><i class="_6o1"></i><div class="_5b_0 _5bgz"><div class="_578n fsm fwb">00:59</div></div></a></div></div><div class="mtm plm _5pcm"><div class="mbs fwn fcg" data-ft="{"tn":"C"}"><div class="_5pcn fwb" data-ft="{"tn":";"}"><a href="https://www.facebook.com/photo.php?v=944982042195170&fref=nf">Paramjyot Singh</a></div></div><div class="mtm _5pco" data-ft="{"tn":"K"}"><p>It happen only in India.......</p></div></div></div></div></div></div><div><form rel="async" class="live_10152140848596853_316526391751760 commentable_item autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_8_q" 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data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.0.$author.0" onmousedown="this.href = this.href.replace('__md__=0', '__md__=1');">Susan Power Lundy</a></span><span data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">My son really wants to do this. Can it be done in Ireland</span></span></span><span data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.3"><a class="UFILikeLink" data-ft="{"tn":">"}" href="https://www.facebook.com/#" role="button" title="Like this comment" data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.3.$likeToggle:0">Like</a><span data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.3.$commentReply:0:$MIDDOT:0"> · </span><a class="UFIReplyLink" href="https://www.facebook.com/#" data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.3.$commentReply:0:$action:0">Reply</a><span data-reactid=".8e.1:3:1:$comment10152508080509559_10152590983929559:0.0.$right.0.$left.0.3.$likeCount:0:$MIDDOT:0"> · </span><a 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rel="dialog" data-ft="{"tn":"l"}" role="button">53 others</a> wrote on <a class="profileLink" href="https://www.facebook.com/manisha.priyadarshini" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=1692984794">Manisha Priyadarshini</a>'s timeline.</span></div></h5><div class="clearfix mvm"><a class="_8o _8t lfloat _ohe" href="https://www.facebook.com/manisha.priyadarshini" tabindex="-1" aria-hidden="true" data-hovercard="/ajax/hovercard/user.php?id=1692984794"><div class="uiScaledImageContainer" style="width: 90px; height: 90px"><img class="scaledImageFitWidth img" src="./ui_files/10314664_4221515031468_8844065718057350813_n.jpg" alt="" width="90" height="90"></div></a><div class="_42ef"><div class="mbs fwb"><a href="https://www.facebook.com/manisha.priyadarshini" data-hovercard="/ajax/hovercard/user.php?id=1692984794">Manisha Priyadarshini</a></div><div class="mbs fcg">Birthday: Yesterday</div><ul class="uiList _4kg _6-h _704 _6-i"><li><div class="fsm fwn fcg">You wrote on Manisha's timeline.</div></li></ul></div></div><div class="stat_elem"><ul class="uiList uiCollapsedList uiCollapsedListHidden _5pbz _5va0 _4kg" id="u_jsonp_8_c"><li><div class="userContentWrapper _5pcr mbs _5v9_ _5va1 _3ccb" data-dedup="S:_I537165995:10152632403365996" id="u_jsonp_8_7" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_8_i" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_8_s"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/hjhazarika?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=537165995"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/10505425_10152557839315996_7475969937511343698_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_112"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/hjhazarika?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=537165995&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Himangshu Jyoti Hazarika</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/manisha.priyadarshini?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1692984794&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Manisha Priyadarshini</a></span></div></h6><div class="_5pcp" id="js_116"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/manisha.priyadarshini/posts/4444972937776"><abbr title="Sunday, July 27, 2014 at 9:49pm" data-utime="1406477961" data-shorten="1" class="_5ptz timestamp livetimestamp">4 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_1i" aria-label="Shared with: Manisha's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}" id="js_117"><p>happy birthday academician</p></div><div></div><div><form rel="async" class="live_4444972937776_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_8_11" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQG-VgRoE_a0" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" 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_5v9_ _5va1 _3ccb" data-dedup="S:_I537061404:10152525763211405" id="u_jsonp_8_8" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_8_j" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_8_u"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/raman.abhishek?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=537061404"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/223491_10150228236276405_5625319_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_113"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/raman.abhishek?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=537061404&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Abhishek Raman</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/manisha.priyadarshini?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1692984794&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Manisha Priyadarshini</a></span></div></h6><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/manisha.priyadarshini/posts/4444260719971"><abbr title="Sunday, July 27, 2014 at 3:04pm" data-utime="1406453698" data-shorten="1" class="_5ptz timestamp livetimestamp">11 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_1j" aria-label="Shared with: Manisha's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}"><p>Happy b'day</p></div><div></div><div><form rel="async" class="live_4444260719971_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_8_12" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQG-VgRoE_a0" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"537061404","target_fbid":"4444260719971","target_profile_id":"1692984794","type_id":"100","assoc_obj_id":"","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406453698","check_hash":"AQAv9AILdip_Y0dR","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp _5vsi"><span><span data-reactid=".82"><a class="UFILikeLink accessible_elem" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-reactid=".82.0">Like</a><a class="UFILikeLink" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-ft="{"tn":">"}" data-reactid=".82.1">Like</a></span></span> · <label class="uiLinkButton comment_link" title="Leave a comment"><input class="uiLinkButtonInput" data-ft="{"type":24,"tn":"S"}" type="button" value="Comment" onclick="return fc_click(this);"></label> · <span><a class="share_action_link" data-ft="{ "tn": "J", "type": 25 }" href="https://www.facebook.com/ajax/sharer/?s=65&appid=2719290516&p[0]=537061404&p[1]=4444260719971&share_source_type=unknown&__av=100000590753545" rel="dialog" title="Send this to friends or post it on your timeline." data-reactid=".83">Share</a></span></div></div></div><div class="uiUfi UFIContainer _5pc9 _5vsj _5v9k" id="u_jsonp_8_18"><ul class="UFIList" data-reactid=".84"><li class="UFIRow UFIComponent UFIAddComment UFIAddCommentWithPhotoAttacher UFIFirstComponent UFILastComponent" data-ft="{"tn":"["}" data-reactid=".84.1:4"><div class="UFIMentionsInputWrap clearfix" data-reactid=".84.1:4.0"><div class="_ohe lfloat" data-reactid=".84.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".84.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur Kumar" data-reactid=".84.1:4.0.$left.0.0"></div></div><div class="" data-reactid=".84.1:4.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".84.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".84.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".84.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".84.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".84.1:4.0.$right.0.0.0.0.0"><div data-reactid=".84.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" data-reactid=".84.1:4.0.$right.0.0.0.0.0.0.0"></span></div></div><div class="uiTypeahead mentionsTypeahead" data-reactid=".84.1:4.0.$right.0.0.0.0.1"><div class="wrap" data-reactid=".84.1:4.0.$right.0.0.0.0.1.0"><input type="hidden" autocomplete="off" class="hiddenInput" data-reactid=".84.1:4.0.$right.0.0.0.0.1.0.0"><div class="innerWrap" data-reactid=".84.1:4.0.$right.0.0.0.0.1.0.1"><textarea name="add_comment_text" class="textInput mentionsTextarea uiTextareaAutogrow uiTextareaNoResize UFIAddCommentInput DOMControl_placeholder" title="Write a comment..." placeholder="Write a comment..." data-reactid=".84.1:4.0.$right.0.0.0.0.1.0.1.0">Write a comment...</textarea></div></div></div><input type="hidden" autocomplete="off" class="mentionsHidden" value="" data-reactid=".84.1:4.0.$right.0.0.0.0.2"></div><div class="UFICommentAttachmentButtons clearfix" data-reactid=".84.1:4.0.$right.0.0.0.1"><div class="UFIPhotoAttachLinkWrapper _m" data-hover="tooltip" data-tooltip-alignh="center" aria-label="Attach a Photo" data-reactid=".84.1:4.0.$right.0.0.0.1.0"><i class="UFICommentPhotoIcon" data-reactid=".84.1:4.0.$right.0.0.0.1.0.0"><input type="file" accept="image/*" class="_n" name="file" title="Choose a file to upload" aria-label="Choose a file to upload"></i></div></div></div></div></div></div></div></li></ul></div></form></div></div></li><li class="hiddenItem"><div class="userContentWrapper _5pcr mvs _5v9_ _5va1 _3ccb" data-dedup="S:_I100000590753545:875284419167908" id="u_jsonp_8_9" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_8_k" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_8_w"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/mayur.kumar.77?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=100000590753545"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/10492488_855847354444948_8753844995165142862_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_114"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/mayur.kumar.77?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=100000590753545&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Mayur Kumar</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/manisha.priyadarshini?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1692984794&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Manisha Priyadarshini</a></span></div></h6><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/manisha.priyadarshini/posts/4443962032504"><abbr title="Sunday, July 27, 2014 at 10:54am" data-utime="1406438647" data-shorten="1" class="_5ptz timestamp livetimestamp">15 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_1k" aria-label="Shared with: Manisha's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}"><p>Happy B'dy Manisha.. Have an awesome one... <i class="_4-k1 img sp_F6Afu2XGiZY sx_a8bc3e"></i></p></div><div></div><div><form rel="async" class="live_4443962032504_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_8_13" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQG-VgRoE_a0" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"100000590753545","target_fbid":"4443962032504","target_profile_id":"1692984794","type_id":"100","assoc_obj_id":"","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406438647","check_hash":"AQCoprZJwJ6-u5tS","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp _5vsi"><span><span data-reactid=".85"><a class="UFILikeLink accessible_elem" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-reactid=".85.0">Like</a><a class="UFILikeLink" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-ft="{"tn":">"}" data-reactid=".85.1">Like</a></span></span> · <label class="uiLinkButton comment_link" title="Leave a comment"><input class="uiLinkButtonInput" data-ft="{"type":24,"tn":"S"}" type="button" value="Comment" onclick="return fc_click(this);"></label> · <span><a class="share_action_link" data-ft="{ "tn": "J", "type": 25 }" href="https://www.facebook.com/ajax/sharer/?s=65&appid=2719290516&p[0]=100000590753545&p[1]=4443962032504&share_source_type=unknown&__av=100000590753545" rel="dialog" title="Send this to friends or post it on your timeline." data-reactid=".86">Share</a></span></div></div></div><div class="uiUfi UFIContainer _5pc9 _5vsj _5v9k" id="u_jsonp_8_1a"><ul class="UFIList" data-reactid=".87"><li class="UFIRow UFIComponent UFIAddComment UFIAddCommentWithPhotoAttacher UFIFirstComponent UFILastComponent" data-ft="{"tn":"["}" data-reactid=".87.1:4"><div class="UFIMentionsInputWrap clearfix" data-reactid=".87.1:4.0"><div class="_ohe lfloat" data-reactid=".87.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".87.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur Kumar" data-reactid=".87.1:4.0.$left.0.0"></div></div><div class="" data-reactid=".87.1:4.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".87.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".87.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".87.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".87.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".87.1:4.0.$right.0.0.0.0.0"><div data-reactid=".87.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" data-reactid=".87.1:4.0.$right.0.0.0.0.0.0.0"></span></div></div><div class="uiTypeahead mentionsTypeahead" data-reactid=".87.1:4.0.$right.0.0.0.0.1"><div class="wrap" data-reactid=".87.1:4.0.$right.0.0.0.0.1.0"><input type="hidden" autocomplete="off" class="hiddenInput" data-reactid=".87.1:4.0.$right.0.0.0.0.1.0.0"><div class="innerWrap" data-reactid=".87.1:4.0.$right.0.0.0.0.1.0.1"><textarea name="add_comment_text" class="textInput mentionsTextarea uiTextareaAutogrow uiTextareaNoResize UFIAddCommentInput DOMControl_placeholder" title="Write a comment..." placeholder="Write a comment..." data-reactid=".87.1:4.0.$right.0.0.0.0.1.0.1.0">Write a comment...</textarea></div></div></div><input type="hidden" autocomplete="off" class="mentionsHidden" value="" data-reactid=".87.1:4.0.$right.0.0.0.0.2"></div><div class="UFICommentAttachmentButtons clearfix" data-reactid=".87.1:4.0.$right.0.0.0.1"><div class="UFIPhotoAttachLinkWrapper _m" data-hover="tooltip" data-tooltip-alignh="center" aria-label="Attach a Photo" data-reactid=".87.1:4.0.$right.0.0.0.1.0"><i class="UFICommentPhotoIcon" data-reactid=".87.1:4.0.$right.0.0.0.1.0.0"><input type="file" accept="image/*" class="_n" name="file" title="Choose a file to upload" aria-label="Choose a file to upload"></i></div></div></div></div></div></div></div></li></ul></div></form></div></div></li><li class="hiddenItem"><div class="userContentWrapper _5pcr mvs _5v9_ _5va1 _3ccb" data-dedup="S:_I1552372869:10202398897484409" id="u_jsonp_8_a" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_8_l" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_8_y"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/umang.sethi.1?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=1552372869"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/39499_1381361304713_3971487_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_115"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/umang.sethi.1?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1552372869&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Umang Sethi</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/manisha.priyadarshini?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=1692984794&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Manisha Priyadarshini</a></span></div></h6><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/manisha.priyadarshini/posts/4445359627443"><abbr title="Monday, July 28, 2014 at 12:52am" data-utime="1406488928" data-shorten="1" class="_5ptz timestamp livetimestamp">1 hr</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_1l" aria-label="Shared with: Manisha's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}"><p>happy bday ..:):)</p></div><div></div><div><form rel="async" class="live_4445359627443_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_8_14" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQG-VgRoE_a0" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"1552372869","target_fbid":"4445359627443","target_profile_id":"1692984794","type_id":"100","assoc_obj_id":"","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406488928","check_hash":"AQAo7p1ed8kI8qtY","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp _5vsi"><span><span data-reactid=".88"><a class="UFILikeLink accessible_elem" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-reactid=".88.0">Like</a><a class="UFILikeLink" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-ft="{"tn":">"}" data-reactid=".88.1">Like</a></span></span> · <label class="uiLinkButton comment_link" title="Leave a comment"><input class="uiLinkButtonInput" data-ft="{"type":24,"tn":"S"}" type="button" value="Comment" onclick="return fc_click(this);"></label> · <span><a class="share_action_link" data-ft="{ "tn": "J", "type": 25 }" href="https://www.facebook.com/ajax/sharer/?s=65&appid=2719290516&p[0]=1552372869&p[1]=4445359627443&share_source_type=unknown&__av=100000590753545" rel="dialog" title="Send this to friends or post it on your timeline." data-reactid=".89">Share</a></span></div></div></div><div class="uiUfi UFIContainer _5pc9 _5vsj _5v9k" id="u_jsonp_8_1c"><ul class="UFIList" data-reactid=".8a"><li class="UFIRow UFIComponent UFIAddComment UFIAddCommentWithPhotoAttacher UFIFirstComponent UFILastComponent" data-ft="{"tn":"["}" data-reactid=".8a.1:4"><div class="UFIMentionsInputWrap clearfix" data-reactid=".8a.1:4.0"><div class="_ohe lfloat" data-reactid=".8a.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".8a.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur Kumar" data-reactid=".8a.1:4.0.$left.0.0"></div></div><div class="" data-reactid=".8a.1:4.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".8a.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".8a.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".8a.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".8a.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".8a.1:4.0.$right.0.0.0.0.0"><div data-reactid=".8a.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" data-reactid=".8a.1:4.0.$right.0.0.0.0.0.0.0"></span></div></div><div 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Vani Kumar
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rel="dialog" data-ft="{"tn":"l"}" role="button">82 others</a> wrote on <a class="profileLink" href="https://www.facebook.com/tanya.singh.758" data-ft="{"tn":"l"}" data-hovercard="/ajax/hovercard/user.php?id=638416319">Tanya Singh</a>'s timeline.</span></div></h5><div class="clearfix mvm"><a class="_8o _8t lfloat _ohe" href="https://www.facebook.com/tanya.singh.758" tabindex="-1" aria-hidden="true" data-hovercard="/ajax/hovercard/user.php?id=638416319"><div class="uiScaledImageContainer" style="width: 90px; height: 90px"><img class="scaledImageFitWidth img" src="./ui_files/10505605_10152634586231320_3625016649285669464_n.jpg" alt="" width="90" height="90"></div></a><div class="_42ef"><div class="mbs fwb"><a href="https://www.facebook.com/tanya.singh.758" data-hovercard="/ajax/hovercard/user.php?id=638416319">Tanya Singh</a></div><div class="mbs fcg">Birthday: Yesterday</div><ul class="uiList _4kg _6-h _704 _6-i"><li><div class="fsm fwn fcg">You wrote on Tanya's timeline.</div></li><li><div class="clearfix"><i class="_5alt _8o _8r lfloat _ohe img sp_Fl-Bi-rXZkL sx_a13340"></i><div class="_8u _42ef"><a href="https://www.facebook.com/gifts?recipient_id=638416319&entry_point=aggregated_birthday_story&gift_occasion=birthday">Give her a birthday gift</a></div></div></li></ul></div></div><div class="stat_elem"><ul class="uiList uiCollapsedList uiCollapsedListHidden _5pbz _5va0 _4kg" id="u_jsonp_8_2a"><li><div class="userContentWrapper _5pcr mbs _5v9_ _5va1 _3ccb" data-dedup="S:_I768376154:10152640656856155" id="u_jsonp_8_23" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_8_2d" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_8_2o"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/profile.php?id=768376154&fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=768376154"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/36760_441556066154_8188805_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_119"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/profile.php?id=768376154&fref=nf" data-hovercard="/ajax/hovercard/user.php?id=768376154&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Ravi Sharma</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/tanya.singh.758?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=638416319&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Tanya Singh</a></span></div></h6><div class="_5pcp" id="js_123"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/tanya.singh.758/posts/10152664827606320"><abbr title="Sunday, July 27, 2014 at 11:13pm" data-utime="1406482991" data-shorten="1" class="_5ptz timestamp livetimestamp">3 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_3j" aria-label="Shared with: Tanya's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}" id="js_124"><p>Wish you Happy B'day</p></div><div></div><div><form rel="async" class="live_10152664827606320_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_8_2v" onsubmit="return window.Event && Event.__inlineSubmit && 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data-reactid=".8h.1:4.0.$right.0.0.0.0.1.0"><input type="hidden" autocomplete="off" class="hiddenInput" data-reactid=".8h.1:4.0.$right.0.0.0.0.1.0.0"><div class="innerWrap" data-reactid=".8h.1:4.0.$right.0.0.0.0.1.0.1"><textarea name="add_comment_text" class="textInput mentionsTextarea uiTextareaAutogrow uiTextareaNoResize UFIAddCommentInput DOMControl_placeholder" title="Write a comment..." placeholder="Write a comment..." data-reactid=".8h.1:4.0.$right.0.0.0.0.1.0.1.0">Write a comment...</textarea></div></div></div><input type="hidden" autocomplete="off" class="mentionsHidden" value="" data-reactid=".8h.1:4.0.$right.0.0.0.0.2"></div><div class="UFICommentAttachmentButtons clearfix" data-reactid=".8h.1:4.0.$right.0.0.0.1"><div class="UFIPhotoAttachLinkWrapper _m" data-hover="tooltip" data-tooltip-alignh="center" aria-label="Attach a Photo" data-reactid=".8h.1:4.0.$right.0.0.0.1.0"><i class="UFICommentPhotoIcon" data-reactid=".8h.1:4.0.$right.0.0.0.1.0.0"><input type="file" accept="image/*" class="_n" name="file" title="Choose a file to upload" aria-label="Choose a file to upload"></i></div></div></div></div></div></div></div></li></ul></div></form></div></div></li><li><div class="userContentWrapper _5pcr mvs _5v9_ _5va1 _3ccb" data-dedup="S:_I638173979:10152615519528980" id="u_jsonp_8_24" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_8_2e" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_8_2q"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/rachit.sharma.794?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=638173979"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/1920579_10152319505503980_2094939342_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_120"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/rachit.sharma.794?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=638173979&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Rachit Sharma</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/tanya.singh.758?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=638416319&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Tanya Singh</a></span></div></h6><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/tanya.singh.758/posts/10152664301641320"><abbr title="Sunday, July 27, 2014 at 6:19pm" data-utime="1406465359" data-shorten="1" class="_5ptz timestamp livetimestamp">8 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_3k" aria-label="Shared with: Tanya's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}"><p>Happy Birthday!!</p></div><div></div><div><form rel="async" class="live_10152664301641320_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_8_2w" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQG-VgRoE_a0" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" 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data-ft="{"tn":"["}" data-reactid=".8l.1:4"><div class="UFIMentionsInputWrap clearfix" data-reactid=".8l.1:4.0"><div class="_ohe lfloat" data-reactid=".8l.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".8l.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur Kumar" data-reactid=".8l.1:4.0.$left.0.0"></div></div><div class="" data-reactid=".8l.1:4.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".8l.1:4.0.$right.0"><div class="UFICommentContainer" data-reactid=".8l.1:4.0.$right.0.0"><div class="UFIInputContainer" data-reactid=".8l.1:4.0.$right.0.0.0"><div class="uiMentionsInput textBoxContainer ReactLegacyMentionsInput" data-reactid=".8l.1:4.0.$right.0.0.0.0"><div class="highlighter" data-reactid=".8l.1:4.0.$right.0.0.0.0.0"><div data-reactid=".8l.1:4.0.$right.0.0.0.0.0.0"><span class="highlighterContent hidden_elem" 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aria-label="Attach a Photo" data-reactid=".8l.1:4.0.$right.0.0.0.1.0"><i class="UFICommentPhotoIcon" data-reactid=".8l.1:4.0.$right.0.0.0.1.0.0"><input type="file" accept="image/*" class="_n" name="file" title="Choose a file to upload" aria-label="Choose a file to upload"></i></div></div></div></div></div></div></div></li></ul></div></form></div></div></li><li class="hiddenItem"><div class="userContentWrapper _5pcr mvs _5v9_ _5va1 _3ccb" data-dedup="S:_I814195044:10154512444850045" id="u_jsonp_8_25" data-gt="{"type":"click2canvas","fbsource":703,"ref":"nf_generic"}"><div class="_4r_y"><div class="_6a uiPopover _5pbi _5puc _5v56" id="u_jsonp_8_2f" data-ft="{"tn":"V"}"><a class="_5pbj _p" aria-label="Story options" role="button" href="https://www.facebook.com/#" aria-haspopup="true" aria-expanded="false" rel="toggle" id="u_jsonp_8_2s"></a></div></div><div class="clearfix _5x46"><a class="_5pb8 _5v9u _29h _303" href="https://www.facebook.com/vani.kumar.754?fref=nf" aria-hidden="true" tabindex="-1" data-ft="{"tn":"m"}" data-hovercard="/ajax/hovercard/user.php?id=814195044"><img class="_s0 _5xib _5sq7 _rw img" src="./ui_files/10492325_10154459646620045_8060972596910399152_n.jpg" alt=""></a><div class="_3dp _29k"><div><div class="_6a"><div class="_6a _6b" style="height:40px"></div><div class="_6a _6b"><h6 class="_5pbw" data-ft="{"tn":"C"}" id="js_121"><div class="fwn fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/vani.kumar.754?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=814195044&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Vani Kumar</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/tanya.singh.758?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=638416319&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Tanya Singh</a></span></div></h6><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/tanya.singh.758/posts/10152664225461320"><abbr title="Sunday, July 27, 2014 at 5:23pm" data-utime="1406462029" data-shorten="1" class="_5ptz timestamp livetimestamp">9 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_3l" aria-label="Shared with: Tanya's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}"><p>Happy bday girl.. Have a grt day!!</p></div><div></div><div><form rel="async" class="live_10152664225461320_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_8_2x" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQG-VgRoE_a0" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"814195044","target_fbid":"10152664225461320","target_profile_id":"638416319","type_id":"100","assoc_obj_id":"","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406462029","check_hash":"AQDsA5pzrpgan2UM","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp _5vsi"><span><span data-reactid=".8n"><a class="UFILikeLink accessible_elem" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-reactid=".8n.0">Like</a><a class="UFILikeLink" href="https://www.facebook.com/#" role="button" aria-live="polite" title="Like this" data-ft="{"tn":">"}" data-reactid=".8n.1">Like</a></span></span> · <label class="uiLinkButton comment_link" title="Leave a comment"><input class="uiLinkButtonInput" data-ft="{"type":24,"tn":"S"}" type="button" value="Comment" onclick="return fc_click(this);"></label> · <span><a class="share_action_link" data-ft="{ "tn": "J", "type": 25 }" href="https://www.facebook.com/ajax/sharer/?s=65&appid=2719290516&p[0]=814195044&p[1]=10152664225461320&share_source_type=unknown&__av=100000590753545" rel="dialog" title="Send this to friends or post it on your timeline." data-reactid=".8o">Share</a></span> · <span><a class="UFIBlingBox uiBlingBox feedbackBling" href="https://www.facebook.com/tanya.singh.758/posts/10152664225461320" data-ft="{"tn":"O"}" aria-label="1 like " rel="ignore" data-reactid=".8m"><span data-reactid=".8m.$like"><i class="UFIBlingBoxLikeIcon UFIBlingBoxSprite" data-reactid=".8m.$like.0"></i><span class="UFIBlingBoxText" data-reactid=".8m.$like.1">1</span></span></a></span></div></div></div><div class="uiUfi UFIContainer _5pc9 _5vsj _5v9k" id="u_jsonp_8_34"><ul class="UFIList" data-reactid=".8p"><li class="UFIRow UFILikeSentence UFIFirstComponent" data-reactid=".8p.1:0"><div class="clearfix" data-reactid=".8p.1:0.0"><div class="_ohe lfloat" data-reactid=".8p.1:0.0.$left"><a class="img _8o _8r UFIImageBlockImage UFILikeThumb" href="https://www.facebook.com/#" tabindex="-1" title="Like this" role="button" aria-label="Like this" data-reactid=".8p.1:0.0.$left.0"><i class="UFILikeIcon" data-reactid=".8p.1:0.0.$left.0.0"></i></a></div><div class="" data-reactid=".8p.1:0.0.$right"><div class="UFIImageBlockContent _42ef _8u" data-reactid=".8p.1:0.0.$right.0"><div class="UFILikeSentenceText" data-reactid=".8p.1:0.0.$right.0.0"><span data-reactid=".8p.1:0.0.$right.0.0.0"><a class="profileLink" dir="ltr" href="https://www.facebook.com/tanya.singh.758" data-hovercard="/ajax/hovercard/hovercard.php?id=638416319&extragetparams=%7B%22hc_location%22%3A%22ufi%22%7D" data-reactid=".8p.1:0.0.$right.0.0.0.$range0:0">Tanya Singh</a><span data-reactid=".8p.1:0.0.$right.0.0.0.$end:0:$0:0"> likes this.</span></span></div></div></div></div></li><li class="UFIRow UFIComponent UFIAddComment UFIAddCommentWithPhotoAttacher UFILastComponent" data-ft="{"tn":"["}" data-reactid=".8p.1:4"><div class="UFIMentionsInputWrap clearfix" data-reactid=".8p.1:4.0"><div class="_ohe lfloat" data-reactid=".8p.1:4.0.$left"><div class="img _8o _8r UFIImageBlockImage UFIReplyActorPhotoWrapper" data-reactid=".8p.1:4.0.$left.0"><img class="img UFIActorImage _54ru" src="./ui_files/10492488_855847354444948_8753844995165142862_n(1).jpg" alt="Mayur 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fcg"><span class="fwb fcg" data-ft="{"tn":";"}"><a href="https://www.facebook.com/viruj.dugar?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=502620362&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Viruj Dugar</a><i class="mhs img sp_nN2ib0v85u2 sx_4944ba"></i><span></span><a class="_wpv" href="https://www.facebook.com/tanya.singh.758?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=638416319&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Tanya Singh</a></span></div></h6><div class="_5pcp"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/tanya.singh.758/posts/10152663991216320"><abbr title="Sunday, July 27, 2014 at 1:30pm" data-utime="1406448034" data-shorten="1" class="_5ptz timestamp livetimestamp">13 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_3m" aria-label="Shared with: Tanya's friends"><i 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Happy happy birthday!!!!</p></div><div></div><div><form rel="async" class="live_10152663991216320_316526391751760 commentable_item collapsed_comments autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_8_2y" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQG-VgRoE_a0" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"502620362","target_fbid":"10152663991216320","target_profile_id":"638416319","type_id":"100","assoc_obj_id":"","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406448034","check_hash":"AQCzzRUc1V4LJNhu","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div 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data-reactid=".94.1:3:1:$comment10154426377405297_10154427035600297:0.0.$right.0.$left.0.0.1:0"> </span><span data-ft="{"tn":"K"}" data-reactid=".94.1:3:1:$comment10154426377405297_10154427035600297:0.0.$right.0.$left.0.0.1:$comment-body"><span class="UFICommentBody" data-reactid=".94.1:3:1:$comment10154426377405297_10154427035600297:0.0.$right.0.$left.0.0.1:$comment-body.0"><span data-reactid=".94.1:3:1:$comment10154426377405297_10154427035600297:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">Waaaoooo</span></span></span><span data-reactid=".94.1:3:1:$comment10154426377405297_10154427035600297:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".94.1:3:1:$comment10154426377405297_10154427035600297:0.0.$right.0.$left.0.3"><span data-reactid=".94.1:3:1:$comment10154426377405297_10154427035600297:0.0.$right.0.$left.0.3.$metadata:0"><a class="uiLinkSubtle" 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data-reactid=".94.1:3:1:$comment10154426377405297_10154427613930297:0.0.$right.0.$left.0.0.1:$comment-body.0.$range0:0">Vijeta Jena</a><span data-reactid=".94.1:3:1:$comment10154426377405297_10154427613930297:0.0.$right.0.$left.0.0.1:$comment-body.0.$end:0:$0:0">: Ek LS jagah hai <span class="emoticon_text" aria-hidden="true">:P</span><span title=":P" class="emoticon emoticon_tongue"></span></span></span></span><span data-reactid=".94.1:3:1:$comment10154426377405297_10154427613930297:0.0.$right.0.$left.0.0.4"></span></div><div class="fsm fwn fcg UFICommentActions" data-reactid=".94.1:3:1:$comment10154426377405297_10154427613930297:0.0.$right.0.$left.0.3"><span data-reactid=".94.1:3:1:$comment10154426377405297_10154427613930297:0.0.$right.0.$left.0.3.$metadata:0"><a class="uiLinkSubtle" href="https://www.facebook.com/photo.php?fbid=10154426377405297&set=a.10150277875250297.501197.617995296&type=1&comment_id=10154427613930297&offset=0&total_comments=9" data-ft="{"tn":"N"}" 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href="https://www.facebook.com/banerjee.sarah?fref=nf" data-hovercard="/ajax/hovercard/user.php?id=502539584&extragetparams=%7B%22fref%22%3A%22nf%22%7D">Sarah Banerjee</a></span></div></h5><div class="_5pcp" id="js_126"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/banerjee.sarah/posts/10152360025589585"><abbr title="Sunday, July 27, 2014 at 11:12am" data-utime="1406439753" data-shorten="1" class="_5ptz timestamp livetimestamp">15 hrs</abbr></a> · <a class="_5pcq" href="https://www.facebook.com/pages/Gurgaon-Haryana/106487939387579" data-hovercard="/ajax/hovercard/page.php?id=106487939387579">Gurgaon</a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_3p" aria-label="Shared with: Sarah's friends"><i class="lock img sp_F6Afu2XGiZY sx_7ff1e3"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}" id="js_127"><p>This is the nice <a class="profileLink" href="https://www.facebook.com/BeingSalmanKhan" data-hovercard="/ajax/hovercard/page.php?id=334873533267523">Salman Khan</a>, not the present one. And it is a nice song <i class="_4-k1 img sp_F6Afu2XGiZY sx_c2f60c"></i><br> <a href="https://www.facebook.com/l.php?u=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3D8zXdENWGNnw&h=iAQHT1NZx&enc=AZPgwmfDmG11Ja8jvOsnd1Lq6ZahThd4_Th2rGdspUyiQW741c6B5wUkV0c17SKrrSsKTlrzxTq65oeHqLqhkb0hwc24YRw7w2_EAdlvOnKTxI-ton5nMV3nrrSyiZkgz0rz-AhjZEJDh0RdXmIjvFfN&s=1" target="_blank" rel="nofollow" onmouseover="LinkshimAsyncLink.swap(this, "https:\/\/www.youtube.com\/watch?v=8zXdENWGNnw");" onclick="LinkshimAsyncLink.referrer_log(this, "https:\/\/www.youtube.com\/watch?v=8zXdENWGNnw", "\/si\/ajax\/l\/render_linkshim_log\/?u=https\u00253A\u00252F\u00252Fwww.youtube.com\u00252Fwatch\u00253Fv\u00253D8zXdENWGNnw&h=iAQHT1NZx&render_verification=0&enc=AZPgwmfDmG11Ja8jvOsnd1Lq6ZahThd4_Th2rGdspUyiQW741c6B5wUkV0c17SKrrSsKTlrzxTq65oeHqLqhkb0hwc24YRw7w2_EAdlvOnKTxI-ton5nMV3nrrSyiZkgz0rz-AhjZEJDh0RdXmIjvFfN&d");">https://www.youtube.com/watch?v=8zXdENWGNnw</a></p></div><div><div data-ft="{"tn":"H"}"><div class="_6m2 _1zpr clearfix _dcs _4_w4 _5cwb mtm" id="u_jsonp_8_21" data-ft="{"tn":"H"}"><div class="clearfix"><div class="lfloat _ohe"><div class="_6ks" data-ft="{"tn":"F"}"><div id="u_jsonp_8_22"><a class="_6kt _6l- __c_" aria-label="Kabhi Tu Chaliya Lagta Hai - Patthar Ke Phool *BluRay* (HD 720p)" ajaxify="/ajax/flash/expand_inline.php?max_width=470&selector=%5E._6m2&target_div=u_jsonp_8_22&share_id=481266528572740&user_share_id=10152360025589585" href="https://www.facebook.com/l.php?u=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3D8zXdENWGNnw&h=fAQEgptlf&enc=AZOV9XmkC7CbmDSZPvnXH10gAX1ZUJUIm-KFYkNnqExfr3pytHR59hxpr-ZxLs6JVpSIzPVvXl6QMywIE4UhSjMV3ED4xcYJr9Fcluf9xVe6W2zVfTzsSLfqajizTsHFmlGDW5jjHFU4s_VV4r0tI2y6&s=1" rel="nofollow async" target="_blank" onmouseover="LinkshimAsyncLink.swap(this, "https:\/\/www.youtube.com\/watch?v=8zXdENWGNnw");" onclick="LinkshimAsyncLink.referrer_log(this, "https:\/\/www.youtube.com\/watch?v=8zXdENWGNnw", "\/si\/ajax\/l\/render_linkshim_log\/?u=https\u00253A\u00252F\u00252Fwww.youtube.com\u00252Fwatch\u00253Fv\u00253D8zXdENWGNnw&h=fAQEgptlf&render_verification=0&enc=AZOV9XmkC7CbmDSZPvnXH10gAX1ZUJUIm-KFYkNnqExfr3pytHR59hxpr-ZxLs6JVpSIzPVvXl6QMywIE4UhSjMV3ED4xcYJr9Fcluf9xVe6W2zVfTzsSLfqajizTsHFmlGDW5jjHFU4s_VV4r0tI2y6&d");"><img class="_6m5 fbStoryAttachmentImage img" src="./ui_files/safe_image(5).php" alt=""><i class="_6ku"></i><span class="img _55ym _55yq _55yp _5tqs _5epl" aria-label="Loading..." aria-busy="1"></span></a></div></div></div><div class="_42ef"><div><div class="_6m3"><div class="mbs _6m6"><a href="https://www.facebook.com/l.php?u=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3D8zXdENWGNnw&h=CAQGFFZhq&s=1" target="_blank" rel="nofollow" onmouseover="LinkshimAsyncLink.swap(this, "https:\/\/www.youtube.com\/watch?v=8zXdENWGNnw");" onclick="LinkshimAsyncLink.referrer_log(this, "https:\/\/www.youtube.com\/watch?v=8zXdENWGNnw", "\/si\/ajax\/l\/render_linkshim_log\/?u=https\u00253A\u00252F\u00252Fwww.youtube.com\u00252Fwatch\u00253Fv\u00253D8zXdENWGNnw&h=CAQGFFZhq&render_verification=0&enc&d");">Kabhi Tu Chaliya Lagta Hai - Patthar Ke Phool *BluRay* (HD 720p)</a></div><div class="_6ma"><div class="_6m7">Movie: Patthar Ke Phool (1991) Song: Kabhi Tu Chaliya Lagta Hai Singers: S.P. Balasubramaniam, Lata Mangeshkar Music Director:Raam Laxman Lyrics Writer:Dev K...</div><div class="_59tj"><div class="_6lz _6mb ellipsis">youtube.com</div></div></div></div><a class="_52c6" href="https://www.facebook.com/l.php?u=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3D8zXdENWGNnw&h=nAQFglNQDAQErQwDRBVAzlHL6LMgLxoh0SFXVfiJVTWz4aw&enc=AZMShL78ZMcugSVExSc5yuy4s7705M3NJo5HIRm4h4EcXfPNgF1foGLCcvlj3omabeKoOAfElQo5rU3VabjTYg_Sf74Zq8yZmUOyj-DHql3H377m0xJDpIcQfdvNu1MHDpM&s=1" target="_blank" rel="nofollow" onmouseover="LinkshimAsyncLink.swap(this, "https:\/\/www.youtube.com\/watch?v=8zXdENWGNnw");" onclick="LinkshimAsyncLink.referrer_log(this, "https:\/\/www.youtube.com\/watch?v=8zXdENWGNnw", 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data-hovercard="/ajax/hovercard/group.php?id=1486334851608134&extragetparams=%7B%22fref%22%3A%22nf%22%7D">राष्ट्रकवि रामधारी सिंह "दिनकर"</a></span></div></h5><div class="_5pcp" id="js_129"><span><span class="fsm fwn fcg"><a class="_5pcq" href="https://www.facebook.com/groups/1486334851608134/permalink/1486985818209704/"><abbr title="Monday, July 28, 2014 at 12:28am" data-utime="1406487516" data-shorten="1" class="_5ptz timestamp livetimestamp">2 hrs</abbr></a></span></span> · <a data-hover="tooltip" class="uiStreamPrivacy inlineBlock fbStreamPrivacy fbPrivacyAudienceIndicator _5pcq" href="https://www.facebook.com/#" role="button" id="u_jsonp_8_3q" aria-label="Shared with: Members of राष्ट्रकवि रामधारी सिंह "दिनकर""><i class="lock img sp_843e1e sx_447ccd"></i></a></div></div></div></div></div></div><div class="_5pbx userContent" data-ft="{"tn":"K"}" id="js_130"><p>Can someone share "द्व्न्दगीत" by Dinkar? I am looking for the ebook.</p></div><div></div><div><form rel="async" class="live_1486985818209704_316526391751760 commentable_item autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" data-live="{"seq":0}" id="u_jsonp_8_3e" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQG-VgRoE_a0" autocomplete="off"><input type="hidden" autocomplete="off" name="feedback_params" value="{"actor":"749892938","target_fbid":"1486985818209704","target_profile_id":"","type_id":"308","assoc_obj_id":"1486334851608134","source_app_id":"0","extra_story_params":[],"content_timestamp":"1406487515","check_hash":"AQC6BxO76_jPLIxg","source":"13"}"><input type="hidden" autocomplete="off" name="data_only_response" value="1"><div class="clearfix"><div class="_4bl7 _4bl8"></div><div class="_4bl9"><div class="_5pcp 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href="https://www.facebook.com/l.php?u=https%3A%2F%2Fapps.facebook.com%2Fbattlepirates%2F%3Ffb_source%3Dsidebar_bookmark&h=tAQF-UzOe&enc=AZOkG-nTMjYs3uEDeB__7JgRpFXIT8_ejBwgGYAz7J3wuHchGwxZlORRybSeL72YVykuxMC2Ced33n9oqsJmz3v17C1RGqnOIbLeXNfPsIzI2Su7ygXKfTygxR2idWPdChZ6LEv2SEaKCWLw8tqCUj3UZIlaZrwBp7253J_ogFG6EM5K2fhcp_zRqsvNsnEJUdbIT990Lz5eB6fbua_BmBBHccELb6GiefluJzgsK0sXesUrbm0-8tEvJBl_SoQ-wcBIXFlNTsf244fvIZb4jHlXei2KxUJ02NZbjRwdbozXLlie2ktaXyy0IsL_VZkkb3vUjUtVzUL6k9UukxTnOvzQ" data-gt="{"appid":"148669555176974","fbsource":"1301","ref":"divebar_bookmarks","type":"click2canvas","bmid":"148669555176974","count":"0"}" data-appname="Battle Pirates"><img class="img" src="./ui_files/851577_548383171872275_1839093140_n.png" width="50" height="50" alt=""></a></div><div class="_2hcm"><span class="count _5wk0 _2hcl hidden_elem uiSideNavCount uiSideNavCountRed"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span></div></div></div></td><td class="_51m-"><div 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class="img" src="./ui_files/851580_584839558217588_1576809494_n.gif" width="50" height="50" alt=""></a></div><div class="_2hcm"><span class="count _5wk0 _2hcl hidden_elem uiSideNavCount uiSideNavCountRed"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span></div></div></div></td><td class="_51m- _51mw"><div class="_1k78"><div class="_1k79" style="height:50px; width:50px"><div class="_2omr" title="Glamble Poker!"><a href="https://www.facebook.com/l.php?u=https%3A%2F%2Fapps.facebook.com%2Fglamble%2F%3Ffb_source%3Dsidebar_bookmark&h=VAQFlh5hd&enc=AZNfJJ7BvQuKz1YK6bEh1xaesAF-Hhn50Z_6hShmhe5V7uajFkWGbFxUFp8zCdgL57IhZ_dQ_CgUxwnyhhw27VE9zDunhTJiLqFLRbmeXSuYpIV6pIxcukQeacs9hyuhuZe-moGOirGWPYY_z1Ro6CGGlO125tJ70rKPnrwcxsgYmjiuRyhe9WFa_wtxj0K-PhLK5OVwRHd4gocLdfapPp_IK8UGfco9IzBqoNDnpB49rp-9prjo9dkwrbUH6I4RbcJTgLWcxWBSi8HHVbmxC6c7_fhjX-JjaXltvlI_5XqdeSNwEOy6cmxa-nPMsRvPjTzymg4Hn1ClaD04bqkMN7vh" 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href="https://www.facebook.com/l.php?u=https%3A%2F%2Fapps.facebook.com%2Finthemafia%2F%3Ffb_source%3Dsidebar_bookmark&h=EAQEava1M&enc=AZP2KfSkqtM1xwmfX0wyByeDaiXehi1H-DWFmvfoJJnmUd9W1b7JPbiQcr7SH96aAZ5dAP81blYoe7xsKBz2NBcYYST_HnQKmXR3WrS9BwjDZES2RDjz1FOBOw1F2zHSBWRDNlv-D5wpva1xKdyJOTMLs-tehTXpHLyMu-ZSs_M-jZXbzRbG8DBwTy024n0Aem2G9H0rQrRRJXQCmxg3UA6w1-KYyMblPLk_Jy_Y6SLd4lGejFiiusWPKSocqb_SifKd8yevHXaf_wNBk21zXoDZLYGC4U-NOB4zzpZ36ut7dOowb4I5zvtwkEXCTX4ZvEz-FuI3zbGSWMkhDjJlkoEr" data-gt="{"appid":"10979261223","fbsource":"1301","ref":"divebar_bookmarks","type":"click2canvas","bmid":"10979261223","count":"0"}" data-appname="Mafia Wars"><img class="img" src="./ui_files/10173493_10152418225841224_264961607_n.png" width="50" height="50" alt=""></a></div><div class="_2hcm"><span class="count _5wk0 _2hcl hidden_elem uiSideNavCount uiSideNavCountRed"><span class="countValue fss">0</span><span class="maxCountIndicator"></span></span></div></div></div></td><td class="_51m-"><div class="_1k78"><div class="_1k79" style="height:50px; width:50px"><div class="_2omr" title="CityVille"><a href="https://www.facebook.com/l.php?u=https%3A%2F%2Fapps.facebook.com%2Fcityville%2F%3Ffb_source%3Dsidebar_bookmark&h=bAQFqu9wT&enc=AZMMk5mtYfvRjsGHsR_feTGalGLbSU6l4S0z1BhMxEQlmJrr0jZIu64Kf_wQRQfiJpaCnMHFtJbe0qscMdXGmNuimFQPUdGw2ZDdJWI_433y2qB2RIEGO_ps4nsnwk8kG8jh9uKJyVmXiN-r-3PV2jbuOHCvuBYWDEzS8lOpkRpYmpIQp4cya1b1oAldBFpgiSxWMDytSjQM2suNsEKiZyefWT3J7EzDOPkA_on6XaAOzVqzmoJPPIz9I0-dVRExUhLB6zZhj5SW1bBX3zWv1xoExHChfIofajbyqom34983LvIjg02G_5XOGV__Wa2fLY8NDHU8-JDbyc33n7Q8fEC5" data-gt="{"appid":"291549705119","fbsource":"1301","ref":"divebar_bookmarks","type":"click2canvas","bmid":"291549705119","count":"0"}" data-appname="CityVille"><img class="img" src="./ui_files/851581_10151645348255120_349549652_n.png" width="50" height="50" alt=""></a></div><div class="_2hcm"><span class="count _5wk0 _2hcl hidden_elem uiSideNavCount uiSideNavCountRed"><span class="countValue fss">0</span><span 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class="_55lr" data-reactid=".11.$ordered_list.$1139985295.0.0.2">Satya Prakash</div><div class="_55ls" data-reactid=".11.$ordered_list.$1139985295.0.0.3"></div></div></a></li><li class="_42fz _570-" data-id="1836900805" data-reactid=".11.$ordered_list.$1836900805"><a class="_55ln" href="https://www.facebook.com/messages/1836900805" rel="ignore" data-reactid=".11.$ordered_list.$1836900805.0"><div class="_55lp" data-reactid=".11.$ordered_list.$1836900805.0.0"><div class="_56p9" data-reactid=".11.$ordered_list.$1836900805.0.0.0"><div size="32" class="_55lt" style="width:32px;height:32px;" data-reactid=".11.$ordered_list.$1836900805.0.0.0.0"><img src="./ui_files/1425715_10200166512685669_876894750_n(1).jpg" width="32" height="32" alt="" class="img" data-reactid=".11.$ordered_list.$1836900805.0.0.0.0.0"></div><div class="_568w" data-reactid=".11.$ordered_list.$1836900805.0.0.0.1"></div></div><div class="_5bon" data-reactid=".11.$ordered_list.$1836900805.0.0.1"></div><div class="_55lr" data-reactid=".11.$ordered_list.$1836900805.0.0.2">Ramanagoud Parakanalli</div><div class="_55ls" data-reactid=".11.$ordered_list.$1836900805.0.0.3"></div></div></a></li><li class="_42fz _570-" data-id="100002098234331" data-reactid=".11.$ordered_list.$100002098234331"><a class="_55ln" href="https://www.facebook.com/messages/100002098234331" rel="ignore" data-reactid=".11.$ordered_list.$100002098234331.0"><div class="_55lp" data-reactid=".11.$ordered_list.$100002098234331.0.0"><div class="_56p9" data-reactid=".11.$ordered_list.$100002098234331.0.0.0"><div size="32" class="_55lt" style="width:32px;height:32px;" data-reactid=".11.$ordered_list.$100002098234331.0.0.0.0"><img src="./ui_files/320594_180437935369480_1229729853_n.jpg" width="32" height="32" alt="" class="img" data-reactid=".11.$ordered_list.$100002098234331.0.0.0.0.0"></div><div class="_568w" data-reactid=".11.$ordered_list.$100002098234331.0.0.0.1"></div></div><div class="_5bon" data-reactid=".11.$ordered_list.$100002098234331.0.0.1"></div><div class="_55lr" data-reactid=".11.$ordered_list.$100002098234331.0.0.2">Anokh Kishore</div><div class="_55ls" data-reactid=".11.$ordered_list.$100002098234331.0.0.3"></div></div></a></li><li class="_42fz _570-" data-id="750680493" data-reactid=".11.$ordered_list.$750680493"><a class="_55ln" href="https://www.facebook.com/messages/750680493" rel="ignore" data-reactid=".11.$ordered_list.$750680493.0"><div class="_55lp" data-reactid=".11.$ordered_list.$750680493.0.0"><div class="_56p9" data-reactid=".11.$ordered_list.$750680493.0.0.0"><div size="32" class="_55lt" style="width:32px;height:32px;" data-reactid=".11.$ordered_list.$750680493.0.0.0.0"><img src="./ui_files/1959374_10153805104400494_1295435059_n(1).jpg" width="32" height="32" alt="" class="img" data-reactid=".11.$ordered_list.$750680493.0.0.0.0.0"></div><div class="_568w" data-reactid=".11.$ordered_list.$750680493.0.0.0.1"></div></div><div class="_5bon" data-reactid=".11.$ordered_list.$750680493.0.0.1"></div><div class="_55lr" data-reactid=".11.$ordered_list.$750680493.0.0.2">Debashish Sinha</div><div class="_55ls" data-reactid=".11.$ordered_list.$750680493.0.0.3"></div></div></a></li><li class="_42fz _570-" data-id="667696180" data-reactid=".11.$ordered_list.$667696180"><a class="_55ln" href="https://www.facebook.com/messages/667696180" rel="ignore" data-reactid=".11.$ordered_list.$667696180.0"><div class="_55lp" data-reactid=".11.$ordered_list.$667696180.0.0"><div class="_56p9" data-reactid=".11.$ordered_list.$667696180.0.0.0"><div size="32" class="_55lt" style="width:32px;height:32px;" data-reactid=".11.$ordered_list.$667696180.0.0.0.0"><img src="./ui_files/10487591_10152538105151181_6603538750212101324_n.jpg" width="32" height="32" alt="" class="img" data-reactid=".11.$ordered_list.$667696180.0.0.0.0.0"></div><div class="_568w" data-reactid=".11.$ordered_list.$667696180.0.0.0.1"></div></div><div class="_5bon" data-reactid=".11.$ordered_list.$667696180.0.0.1"></div><div class="_55lr" data-reactid=".11.$ordered_list.$667696180.0.0.2">Saurav Biswas</div><div class="_55ls" data-reactid=".11.$ordered_list.$667696180.0.0.3"></div></div></a></li><li class="_42fz _570-" data-id="581860218" data-reactid=".11.$ordered_list.$581860218"><a class="_55ln" href="https://www.facebook.com/messages/581860218" rel="ignore" data-reactid=".11.$ordered_list.$581860218.0"><div class="_55lp" data-reactid=".11.$ordered_list.$581860218.0.0"><div class="_56p9" data-reactid=".11.$ordered_list.$581860218.0.0.0"><div size="32" class="_55lt" style="width:32px;height:32px;" data-reactid=".11.$ordered_list.$581860218.0.0.0.0"><img src="./ui_files/1896767_10152157479905219_443007042_n(1).jpg" width="32" height="32" alt="" class="img" data-reactid=".11.$ordered_list.$581860218.0.0.0.0.0"></div><div class="_568w" data-reactid=".11.$ordered_list.$581860218.0.0.0.1"></div></div><div class="_5bon" data-reactid=".11.$ordered_list.$581860218.0.0.1"></div><div class="_55lr" data-reactid=".11.$ordered_list.$581860218.0.0.2">Abhinav Bhaskar</div><div class="_55ls" data-reactid=".11.$ordered_list.$581860218.0.0.3"></div></div></a></li><li class="_42fz _570-" data-id="631845375" data-reactid=".11.$ordered_list.$631845375"><a class="_55ln" href="https://www.facebook.com/messages/631845375" rel="ignore" data-reactid=".11.$ordered_list.$631845375.0"><div class="_55lp" data-reactid=".11.$ordered_list.$631845375.0.0"><div class="_56p9" data-reactid=".11.$ordered_list.$631845375.0.0.0"><div size="32" class="_55lt" style="width:32px;height:32px;" data-reactid=".11.$ordered_list.$631845375.0.0.0.0"><img src="./ui_files/10001280_10152211779230376_586421533_n.jpg" width="32" height="32" alt="" class="img" data-reactid=".11.$ordered_list.$631845375.0.0.0.0.0"></div><div class="_568w" data-reactid=".11.$ordered_list.$631845375.0.0.0.1"></div></div><div class="_5bon" data-reactid=".11.$ordered_list.$631845375.0.0.1"></div><div class="_55lr" data-reactid=".11.$ordered_list.$631845375.0.0.2">Anshuman Prakash</div><div class="_55ls" data-reactid=".11.$ordered_list.$631845375.0.0.3"></div></div></a></li><li class="_42fz _570-" data-id="100001787324785" data-reactid=".11.$ordered_list.$100001787324785"><a class="_55ln" href="https://www.facebook.com/messages/100001787324785" rel="ignore" data-reactid=".11.$ordered_list.$100001787324785.0"><div class="_55lp" data-reactid=".11.$ordered_list.$100001787324785.0.0"><div class="_56p9" data-reactid=".11.$ordered_list.$100001787324785.0.0.0"><div size="32" class="_55lt" style="width:32px;height:32px;" data-reactid=".11.$ordered_list.$100001787324785.0.0.0.0"><img src="./ui_files/1966756_627201314016107_1738068687_n.jpg" width="32" height="32" alt="" class="img" data-reactid=".11.$ordered_list.$100001787324785.0.0.0.0.0"></div><div class="_568w" data-reactid=".11.$ordered_list.$100001787324785.0.0.0.1"></div></div><div class="_5bon" data-reactid=".11.$ordered_list.$100001787324785.0.0.1"></div><div class="_55lr" data-reactid=".11.$ordered_list.$100001787324785.0.0.2">Ashi Ashi</div><div class="_55ls" data-reactid=".11.$ordered_list.$100001787324785.0.0.3"></div></div></a></li></ul></li></ul></div></div></div></div><div class="uiScrollableAreaTrack invisible_elem"><div class="uiScrollableAreaGripper" style="height: 226.28571428571428px; top: 0px;"></div></div></div><div class="fbChatTypeaheadView hidden_elem" id="u_0_36"></div></div><div class="fbChatSidebarMessage clearfix"><img class="img" src="./ui_files/-PAXP-deijE.gif" alt="" width="1" height="1"><div class="message fcg"><a href="https://www.facebook.com/#" class="fbChatGoOnlineLink">Turn on chat</a> to see who's available.</div></div><table class="uiGrid _51mz _4oes" cellspacing="0" cellpadding="0" data-ft="{"tn":"+U"}"><tbody><tr class="_51mx"><td class="_51m-"><div class="uiTypeahead uiClearableTypeahead fbChatTypeahead _5q88" data-ft="{"tn":"+Q"}" id="u_0_3b"><div class="wrap"><i class="_5q87"></i><button class="_42ft _5upp _5xsk clear uiTypeaheadCloseButton" title="Clear" onclick="" type="button" id="u_0_3c">Clear</button><input type="hidden" autocomplete="off" class="hiddenInput"><div class="innerWrap"><input type="text" class="inputtext inputsearch textInput DOMControl_placeholder" autocomplete="off" placeholder="Search" aria-autocomplete="list" aria-expanded="false" aria-owns="typeahead_list_u_0_3b" aria-haspopup="true" role="combobox" spellcheck="false" value="Search" aria-label="Search" id="u_0_3d"></div><span class="img _55ym _55yn _55yo _5fzu" aria-label="Loading..." aria-busy="1"></span></div></div></td><td class="_51m-"><div><div class="_6a _6e uiPopover _5qth" id="u_0_3f"><a data-hover="tooltip" aria-label="Options" class="_5vmb button _p" href="https://www.facebook.com/#" data-ft="{"tn":"p"}" aria-haspopup="true" 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class="fbNubFlyoutOuter"><div class="fbNubFlyoutInner"><div class="fbNubFlyoutBody scrollable"><div class="fbNubFlyoutBodyContent"><div role="menu" class="uiMenu"><ul class="uiMenuInner"><li class="uiMenuItem" data-label="Dummy"><a class="itemAnchor" role="menuitem" tabindex="0" href="https://www.facebook.com/#"><span class="itemLabel fsm"> Dummy </span></a></li></ul></div></div></div></div></div></div></div><div class="fbNubGroup clearfix videoCallEnabled" id="u_0_5y"><div class="fbNub _50-v _50mz _50m_ opened"><a class="fbNubButton" tabindex="0" role="button"><div class="clearfix fbChatTab"><div class="funhouse rfloat _ohf"><div class="close" title="Close"></div></div><div class="wrapWrapper"><div class="wrap"><div class="clearfix"><span class="_5ugh _5ugg _51jx lfloat _ohe hidden_elem" id="u_0_12">0</span><div class="name fwb">Satya Prakash</div></div></div></div></div></a><div class="fbNubFlyout fbDockChatTabFlyout uiContextualLayerParent" role="complementary" data-ft="{"tn":"+M"}" 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vBot _51mw"><div class="accessible_elem">Chat Conversation Start</div><img class="pvm loading hidden_elem img" src="./ui_files/GsNJNwuI-UM.gif" alt="" width="16" height="11"><div class="conversation" aria-live="polite" aria-atomic="false" id="u_0_11"><div data-reactid=".1h"><div class="_5w-5" data-reactid=".1h.$db=2mid=11406129201342=261d9714adac7b01106"><div class="_5w-6" data-reactid=".1h.$db=2mid=11406129201342=261d9714adac7b01106.0"><abbr class="livetimestamp" title="Wednesday 8:56pm" data-utime="1406129201" data-reactid=".1h.$db=2mid=11406129201342=261d9714adac7b01106.0.0">Wednesday 8:56pm</abbr></div></div><div class="_5wd4 _1nc6 direction_ltr _5yt9" title="8:56pm" data-reactid=".1h.$mid=11406129201342=261d9714adac7b01106"><div class="_5wd9" data-reactid=".1h.$mid=11406129201342=261d9714adac7b01106.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406129201342=261d9714adac7b01106.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406129201342=261d9714adac7b01106.2:0.0.0"><div data-reactid=".1h.$mid=11406129201342=261d9714adac7b01106.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406129201342=261d9714adac7b01106.2:0.0.0.0.0"><span class="null">hahaha</span></span></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406129201342=261d9714adac7b01106.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406129201342=261d9714adac7b01106.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406129201342=261d9714adac7b01106.2:1.0.0"></div><span data-reactid=".1h.$mid=11406129201342=261d9714adac7b01106.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc7 direction_ltr _5yt9" data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60"><a aria-label="Jul 23rd, 8:57pm" class="_5ys_" data-hover="tooltip" data-tooltip-position="left" href="https://www.facebook.com/satya.prakash.96558061" data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.1"><img src="./ui_files/10299025_10202318315376161_759402747325881289_n(1).jpg" data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.1.0"></a><div class="_5wd9" data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.2:0.0.0"><div data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.2:0.0.0.0.0"><span class="null">ye python withon to tcs,infy wale use karte hai scripting ke liye,apan to JP morgan jayege</span></span></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.2:1.0.0"></div><span data-reactid=".1h.$mid=11406129248408=28a4ce07f668c369d60.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc6 direction_ltr _5yt9" title="8:57pm" data-reactid=".1h.$mid=11406129269117=2bbc70b46f329b4c540"><div class="_5wd9" data-reactid=".1h.$mid=11406129269117=2bbc70b46f329b4c540.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406129269117=2bbc70b46f329b4c540.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406129269117=2bbc70b46f329b4c540.2:0.0.0"><div data-reactid=".1h.$mid=11406129269117=2bbc70b46f329b4c540.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406129269117=2bbc70b46f329b4c540.2:0.0.0.0.0"><span class="null">yesss.. ab bohat ho gya..</span></span></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406129269117=2bbc70b46f329b4c540.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406129269117=2bbc70b46f329b4c540.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406129269117=2bbc70b46f329b4c540.2:1.0.0"></div><span data-reactid=".1h.$mid=11406129269117=2bbc70b46f329b4c540.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc6 direction_ltr _5yt9" title="8:57pm" data-reactid=".1h.$mid=11406129276595=21224344f90ba0bf612"><div class="_5wd9" data-reactid=".1h.$mid=11406129276595=21224344f90ba0bf612.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406129276595=21224344f90ba0bf612.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406129276595=21224344f90ba0bf612.2:0.0.0"><div data-reactid=".1h.$mid=11406129276595=21224344f90ba0bf612.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406129276595=21224344f90ba0bf612.2:0.0.0.0.0"><span class="null">next jump has to be giant</span></span></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406129276595=21224344f90ba0bf612.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406129276595=21224344f90ba0bf612.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406129276595=21224344f90ba0bf612.2:1.0.0"></div><span data-reactid=".1h.$mid=11406129276595=21224344f90ba0bf612.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc7 direction_ltr _5yt9 _2cnu" data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324"><a aria-label="Jul 23rd, 8:58pm" class="_5ys_" data-hover="tooltip" data-tooltip-position="left" href="https://www.facebook.com/satya.prakash.96558061" data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.1"><img src="./ui_files/10299025_10202318315376161_759402747325881289_n(1).jpg" data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.1.0"></a><div class="_5wd9" data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.2:0.0.0"><div data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.2:0.0.0.0.0"><span class="null">hmmm wo to hona hi hai</span></span></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.2:1.0.0"></div><span data-reactid=".1h.$mid=11406129295821=244f6f521f31161b324.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc7 direction_ltr _5yt9 _2cnu" data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42"><a aria-label="Jul 23rd, 8:58pm" class="_5ys_" data-hover="tooltip" data-tooltip-position="left" href="https://www.facebook.com/satya.prakash.96558061" data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.1"><img src="./ui_files/10299025_10202318315376161_759402747325881289_n(1).jpg" data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.1.0"></a><div class="_5wd9" data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.2:0.0.0"><div data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.2:0.0.0.0.0"><span class="null">as we are still trying <span class="emoticon_text" aria-hidden="true">:)</span><span title=":)" class="emoticon emoticon_smile"></span></span></span></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.2:1.0.0"></div><span data-reactid=".1h.$mid=11406129314656=2d82b75b8780aec4f42.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc6 direction_ltr _5yt9" title="8:58pm" data-reactid=".1h.$mid=11406129324406=22963863de0af647687"><div class="_5wd9" data-reactid=".1h.$mid=11406129324406=22963863de0af647687.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406129324406=22963863de0af647687.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406129324406=22963863de0af647687.2:0.0.0"><div data-reactid=".1h.$mid=11406129324406=22963863de0af647687.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406129324406=22963863de0af647687.2:0.0.0.0.0"><span class="null">yes..</span></span></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406129324406=22963863de0af647687.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406129324406=22963863de0af647687.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406129324406=22963863de0af647687.2:1.0.0"></div><span data-reactid=".1h.$mid=11406129324406=22963863de0af647687.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc6 direction_ltr _5yt9" title="8:58pm" data-reactid=".1h.$mid=11406129333241=2d6d6ff7dff07564a93"><div class="_5wd9" data-reactid=".1h.$mid=11406129333241=2d6d6ff7dff07564a93.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406129333241=2d6d6ff7dff07564a93.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406129333241=2d6d6ff7dff07564a93.2:0.0.0"><div data-reactid=".1h.$mid=11406129333241=2d6d6ff7dff07564a93.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406129333241=2d6d6ff7dff07564a93.2:0.0.0.0.0"><span class="null">byee. m going for dinner</span></span></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406129333241=2d6d6ff7dff07564a93.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406129333241=2d6d6ff7dff07564a93.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406129333241=2d6d6ff7dff07564a93.2:1.0.0"></div><span data-reactid=".1h.$mid=11406129333241=2d6d6ff7dff07564a93.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc7 direction_ltr _5yt9 _2cnu" data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79"><a aria-label="Jul 23rd, 8:59pm" class="_5ys_" data-hover="tooltip" data-tooltip-position="left" href="https://www.facebook.com/satya.prakash.96558061" data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.1"><img src="./ui_files/10299025_10202318315376161_759402747325881289_n(1).jpg" data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.1.0"></a><div class="_5wd9" data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.2:0.0.0"><div data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.2:0.0.0.0.0"><span class="null">ok byzz</span></span></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.2:1.0.0"></div><span data-reactid=".1h.$mid=11406129344506=2e3c2e81992f57ffe79.2:1.0.1"></span></div></div></div><div class="_5w-5" data-reactid=".1h.$db=2mid=11406489180178=2a790f1e26748a15a99"><div class="_5w-6" data-reactid=".1h.$db=2mid=11406489180178=2a790f1e26748a15a99.0"><abbr class="livetimestamp" title="12:56am" data-utime="1406489180" data-reactid=".1h.$db=2mid=11406489180178=2a790f1e26748a15a99.0.0">about an hour ago</abbr></div></div><div class="_5wd4 _1nc7 direction_ltr _5yt9" data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99"><a aria-label="12:56am" class="_5ys_" data-hover="tooltip" data-tooltip-position="left" href="https://www.facebook.com/satya.prakash.96558061" data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.1" id="js_28"><img src="./ui_files/10299025_10202318315376161_759402747325881289_n(1).jpg" data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.1.0"></a><div class="_5wd9" data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.2:0.0.0"><div data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.2:0.0.0.0.0"><span class="null"><a class="_553k" href="https://github.com/satyaprakash1985/datasciencecoursera/HelloWorld.md" target="_blank" rel="nofollow">https://github.com/satyaprakash1985/datasciencecoursera/HelloWorld.md</a></span></span></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.2:1.0.0"></div><span data-reactid=".1h.$mid=11406489180178=2a790f1e26748a15a99.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc6 direction_ltr _5yt9" title="1:24am" data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>"><div class="_5wd9" data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>.2:0"><div class="_5wde" data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>.2:0.0"><div class="_5wdf _5w1r" style="max-width: 182px;" data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>.2:0.0.0"><div data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>.2:0.0.0.0.0"><span class="null"><a class="_553k" href="http://pdfcrowd.com/#convert_by_upload" target="_blank" rel="nofollow">http://pdfcrowd.com/#convert_by_upload</a></span></span></div><div class="_5wdd clearfix _5h9y" data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>.2:0.0.0.1"><div class="_59go noMedia"><div class="clearfix MercuryExternalLink"><div class="_rpb clearfix stat_elem lfloat _ohe hidden_elem"><a class="_ksh" aria-label="Uploaded" href="http://l.facebook.com/l.php?u=http%3A%2F%2Fpdfcrowd.com%2F%23convert_by_upload&h=ZAQFXAOn1&s=1" role="img" target="_blank" rel="ignore"><img alt="" src="./ui_files/drP8vlvSl_8.gif"></a><div class="_5sly hidden_elem"><div class="_5e4h _5e2k _5e2l" id="u_0_14"><div class="_5e4k _5e2d" style="width:0%"></div></div></div><div class="_5uf0 hidden_elem"><label class="uiCloseButton uiCloseButtonSmall uiCloseButtonSmallDark" for="u_0_15"><input aria-label="Remove" title="Remove" type="button" id="u_0_15"></label></div></div><div class="MercuryLinkRight rfloat _ohf"><div class="MercuryLinkTitle"><a class="linkTitle" target="_blank" href="http://pdfcrowd.com/#convert_by_upload" role="button" rel="ignore">Convert HTML to PDF online, Web/HTML to PDF API</a></div><div class="fsm fwn fcg">pdfcrowd.com</div></div></div></div></div></div></div></div><div class="_3ry4" data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>.2:1.0"><div class="_2fs1" data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>.2:1.0.0"></div><span data-reactid=".1h.$<1406490842596=21132222022-2027750207@mail=1projektitan=1com>.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc7 direction_ltr _5yt9" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227"><a aria-label="1:25am" class="_5ys_" data-hover="tooltip" data-tooltip-position="left" href="https://www.facebook.com/satya.prakash.96558061" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.1" id="js_88"><img src="./ui_files/10299025_10202318315376161_759402747325881289_n(1).jpg" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.1.0"></a><div class="_5wd9" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.2:0"><div class="_5wde" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.2:0.0.0"><div data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.2:0.0.0.0.0"><span class="null">pro</span></span></div><div class="_5wdd clearfix _5h9y" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.2:0.0.0.1"><div class="_59go _59gq MercuryDefaultIcon"><a class="uiIconText _3tn" href="https://www.facebook.com/ajax/messaging/attachment.php?attach_id=cbd05136080ac6d9b13a0db3fd5c4de2&mid=mid.1406490900767%3Ae7cc86d8fff66a5227&hash=AQAFzBE1twM_Ann4" role="button" rel="ignore"><i class="img sp_zx-0ABL3iAw sx_d99395"></i><span class="_59gp">Project.html</span></a></div></div></div></div></div><div class="_3ry4" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.2:1.0"><div class="_2fs1" data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.2:1.0.0"></div><span data-reactid=".1h.$mid=11406490900767=2e7cc86d8fff66a5227.2:1.0.1"></span></div></div></div><div class="_5wd4 _1nc6 direction_ltr _5yt9" title="1:27am" data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>"><div class="_5wd9" data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>.2:0"><div class="_5wde" data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>.2:0.0"><div class="_5wdf _5w1r" style="max-width:188px;" data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>.2:0.0.0"><div data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>.2:0.0.0.0"><span class="_5yl5" data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>.2:0.0.0.0.0"><span class="null">see</span></span></div><div class="_5wdd clearfix _5h9y" data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>.2:0.0.0.1"><div class="_59go _59gq MercuryDefaultIcon"><a class="uiIconText _3tn" href="https://www.facebook.com/ajax/messaging/attachment.php?attach_id=a0e0ddcb13213ef0a4665e957a2c934c&mid=mid.1406491034398%3Aeda78c8bc22944a703&hash=AQAywj2dPDBCXmaV" role="button" rel="ignore"><i class="img sp_zx-0ABL3iAw sx_d99395"></i><span class="_59gp">Project.html.pdf</span></a></div></div></div></div></div><div class="_3ry4" data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>.2:1"><div class="_5wda clearfix _2fs6 _2fs2" data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>.2:1.0"><div class="_2fs1" data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>.2:1.0.0"></div><span data-reactid=".1h.$<1406491034130=24249151725-2027750207@mail=1projektitan=1com>.2:1.0.1"></span></div></div></div><div class="_5w-5" data-reactid=".1h.$db=2mid=11406494710160=25183d40ca9fc9ffe61"><div class="_5w-6" data-reactid=".1h.$db=2mid=11406494710160=25183d40ca9fc9ffe61.0"><abbr class="livetimestamp" title="2:28am" 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href=\"#\" role=\"button\">\u003Cdiv class=\"pas\">\u003Cdiv class=\"_1skc\" data-jsid=\"image\">\u003C\/div>\u003Cspan class=\"_1skd fcg\" data-jsid=\"text\">\u003C\/span>\u003C\/div>\u003C\/a>"},2],["m_0_37",{"__html":"\u003Cdiv class=\"pas\">\u003Cspan class=\"_1skd _1ske fcg\" data-jsid=\"text\">\u003C\/span>\u003Ca class=\"pas\" data-jsid=\"unmuteButton\" href=\"#\" role=\"button\">Unmute\u003C\/a>\u003C\/div>"},2],["m_0_38",{"__html":"\u003Cdiv class=\"pas\">\u003Cdiv class=\"_1skc\" data-jsid=\"image\">\u003C\/div>\u003Cspan class=\"_1skd fcg\" data-jsid=\"text\">\u003C\/span>\u003C\/div>"},2],["m_0_39",{"__html":"\u003Cdiv class=\"_56jk\">\u003Ctable class=\"uiGrid _51mz\" cellspacing=\"0\" cellpadding=\"0\">\u003Ctbody>\u003Ctr class=\"_51mx\">\u003Ctd class=\"_51m- vTop _56jl\">\u003Cdiv class=\"uiTypeahead\" data-ft=\"{"tn":"+Q"}\" id=\"u_0_u\">\u003Cdiv class=\"wrap\">\u003Cinput type=\"hidden\" autocomplete=\"off\" class=\"hiddenInput\" \/>\u003Cdiv class=\"innerWrap\">\u003Cinput type=\"text\" class=\"inputtext textInput DOMControl_placeholder\" data-jsid=\"nameInput\" maxlength=\"250\" placeholder=\"Name this conversation\" autocomplete=\"off\" aria-autocomplete=\"list\" aria-expanded=\"false\" aria-owns=\"typeahead_list_u_0_u\" aria-haspopup=\"true\" role=\"combobox\" spellcheck=\"false\" value=\"Name this conversation\" aria-label=\"Name this conversation\" id=\"u_0_v\" \/>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/td>\u003Ctd class=\"_51m- vTop _51mw\">\u003Cbutton value=\"1\" class=\"_42ft _42fu selected _42g-\" data-jsid=\"doneButton\" type=\"submit\">Done\u003C\/button>\u003C\/td>\u003C\/tr>\u003C\/tbody>\u003C\/table>\u003C\/div>"},4],["m_0_3e",{"__html":"\u003Cdiv class=\"pas\">\u003Ci class=\"_1skc img sp_F6Afu2XGiZY sx_d94ff0\" data-jsid=\"image\">\u003C\/i>\u003Cdiv class=\"_1skd\">\u003Cspan class=\"fcg\" data-jsid=\"text\">\u003C\/span>\u003Cdiv>\u003Ca href=\"#\" data-jsid=\"actionLink\" role=\"button\">\u003C\/a>\u003C\/div>\u003C\/div>\u003C\/div>"},2],["m_0_3f",{"__html":"\u003Cdiv>\u003Cdiv class=\"clearfix mvm mrm mll videoCallPromo\">\u003Ci class=\"_8o _8s lfloat _ohe img sp_gPysIaDCTmE sx_87e121\">\u003C\/i>\u003Cdiv class=\"_42ef\">\u003Cdiv class=\"pls\">\u003Cspan class=\"calloutTitle fwb\">Try talking face to face\u003C\/span>\u003Cdiv class=\"fsm fwn fcg\">Click \u003Cspan> ( \u003Ci class=\"onlineStatusIcon img sp_gPysIaDCTmE sx_bf4141\">\u003C\/i> )\u003C\/span> below to start a video call.\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"uiOverlayFooter uiContextualDialogFooter uiBoxGray topborder\">\u003Ctable class=\"uiGrid _51mz uiOverlayFooterGrid\" cellspacing=\"0\" cellpadding=\"0\">\u003Ctbody>\u003Ctr class=\"_51mx\">\u003Ctd class=\"_51m- prs uiOverlayFooterMessage\">\u003Ca target=\"_blank\" href=\"\/help\/?page=177940565599960\">Learn more\u003C\/a>\u003C\/td>\u003Ctd class=\"_51m- uiOverlayFooterButtons _51mw\">\u003Ca class=\"uiOverlayButton layerCancel uiButton uiButtonConfirm\" href=\"#\" role=\"button\" name=\"cancel\">\u003Cspan class=\"uiButtonText\">Close\u003C\/span>\u003C\/a>\u003C\/td>\u003C\/tr>\u003C\/tbody>\u003C\/table>\u003C\/div>\u003C\/div>"},2],["m_0_3g",{"__html":"\u003Cdiv>\u003Cdiv class=\"clearfix mvm mrm mll videoCallPromo\">\u003Ci class=\"_8o _8s lfloat _ohe img sp_gPysIaDCTmE sx_87e121\">\u003C\/i>\u003Cdiv class=\"_42ef\">\u003Cdiv class=\"pls\">\u003Cspan class=\"calloutTitle fwb\">Talk face to face\u003C\/span>\u003Cdiv class=\"fsm fwn fcg\">Click \u003Cspan> ( \u003Ci class=\"onlineStatusIcon img sp_gPysIaDCTmE sx_bf4141\">\u003C\/i> )\u003C\/span> below to start a video call.\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"uiOverlayFooter uiContextualDialogFooter uiBoxGray topborder\">\u003Ctable class=\"uiGrid _51mz uiOverlayFooterGrid\" cellspacing=\"0\" cellpadding=\"0\">\u003Ctbody>\u003Ctr class=\"_51mx\">\u003Ctd class=\"_51m- prs uiOverlayFooterMessage\">\u003Ca target=\"_blank\" href=\"\/help\/?page=177940565599960\">Learn more\u003C\/a>\u003C\/td>\u003Ctd class=\"_51m- uiOverlayFooterButtons _51mw\">\u003Ca class=\"uiOverlayButton layerCancel uiButton uiButtonConfirm\" href=\"#\" role=\"button\" name=\"cancel\">\u003Cspan class=\"uiButtonText\">Okay\u003C\/span>\u003C\/a>\u003C\/td>\u003C\/tr>\u003C\/tbody>\u003C\/table>\u003C\/div>\u003C\/div>"},2],["m_0_3h",{"__html":"\u003Cdiv class=\"fbNub _50-v _50mz _50m-\">\u003Ca class=\"fbNubButton\" tabindex=\"0\" href=\"#\" data-jsid=\"dockButton\" role=\"button\">\u003Cdiv class=\"clearfix fbChatTab\">\u003Cdiv class=\"funhouse rfloat _ohf\">\u003Cdiv class=\"close\" title=\"Close\" data-jsid=\"closeButton\">\u003C\/div>\u003C\/div>\u003Cdiv class=\"wrapWrapper\">\u003Cdiv class=\"wrap\">\u003Cdiv class=\"clearfix\">\u003Cspan class=\"_5ugh _5ugg hidden_elem _51jx hidden_elem lfloat _ohe\" data-jsid=\"numMessages\" id=\"u_0_y\">0\u003C\/span>\u003Cdiv class=\"name fwb\" data-jsid=\"name\">\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/a>\u003Cdiv class=\"fbNubFlyout fbDockChatTabFlyout uiContextualLayerParent\" data-jsid=\"chatWrapper\" role=\"complementary\" data-ft=\"{"tn":"+M"}\" aria-labelledby=\"u_0_w\">\u003Cdiv class=\"fbNubFlyoutOuter\">\u003Cdiv class=\"fbNubFlyoutInner\">\u003Cdiv class=\"clearfix fbNubFlyoutTitlebar titlebar\" data-jsid=\"nubFlyoutTitlebar\" data-ft=\"{"tn":"+J"}\">\u003Cdiv class=\"mls titlebarButtonWrapper rfloat _ohf\">\u003Ca data-hover=\"tooltip\" aria-label=\"Add more friends to chat\" data-tooltip-alignh=\"center\" class=\"addToThread button\" href=\"#\" data-jsid=\"addToThreadLink\" data-ft=\"{"tn":"+F"}\" role=\"button\">\u003C\/a>\u003Cdiv class=\"uiSelector inlineBlock _510p\" data-jsid=\"dropdown\">\u003Cdiv class=\"uiToggle wrap\">\u003Ca data-hover=\"tooltip\" aria-label=\"Options\" data-tooltip-alignh=\"center\" class=\"button uiSelectorButton\" href=\"#\" data-ft=\"{"tn":"p"}\" role=\"button\" aria-haspopup=\"1\" rel=\"toggle\">\u003C\/a>\u003Cdiv class=\"uiSelectorMenuWrapper uiToggleFlyout\">\u003Cdiv role=\"menu\" class=\"uiMenu uiSelectorMenu\">\u003Cul class=\"uiMenuInner\">\u003Cli class=\"uiMenuItem\" data-label=\"See Full Conversation\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"0\" href=\"#\" data-jsid=\"conversationLink\">\u003Cspan class=\"itemLabel fsm\">See Full Conversation\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuItem\">\u003Cform data-jsid=\"attachButtonForm\" action=\"https:\/\/upload.facebook.com\/ajax\/mercury\/upload.php\" method=\"post\" onsubmit=\"return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)\" id=\"u_0_z\">\u003Cinput type=\"hidden\" name=\"fb_dtsg\" value=\"AQFcXAeFeVL6\" autocomplete=\"off\" \/>\u003Cinput type=\"hidden\" autocomplete=\"off\" data-jsid=\"attachID\" name=\"attach_id\" \/>\u003Cdiv class=\"_6a _m _4q60 itemLabel\">\u003Cinput type=\"file\" class=\"_n\" name=\"attachment[]\" multiple=\"1\" data-jsid=\"fileInput\" \/>\u003Ca class=\"_4q61 itemAnchor\">Add Files...\u003C\/a>\u003C\/div>\u003C\/form>\u003C\/li>\u003Cli class=\"uiMenuItem\" data-label=\"Add Friends to Chat...\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"addFriendLink\">\u003Cspan class=\"itemLabel fsm\">Add Friends to Chat...\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuItem\" data-label=\"Edit Conversation Name\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"nameConversationLink\">\u003Cspan class=\"itemLabel fsm\">Edit Conversation Name\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuSeparator\">\u003C\/li>\u003Cli class=\"uiMenuItem hidden_elem\" data-label=\"Mute Conversation...\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"muteThreadLink\">\u003Cspan class=\"itemLabel fsm\">Mute Conversation...\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuItem hidden_elem\" data-label=\"Unmute Conversation\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"unmuteThreadLink\">\u003Cspan class=\"itemLabel fsm\">Unmute Conversation\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuItem\" data-label=\"Leave Conversation...\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"unsubscribeLink\">\u003Cspan class=\"itemLabel fsm\">Leave Conversation...\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuSeparator\">\u003C\/li>\u003Cli class=\"uiMenuItem\" data-label=\"Create Group\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"createGroupLink\">\u003Cspan class=\"itemLabel fsm\">Create Group\u003C\/span>\u003C\/a>\u003C\/li>\u003C\/ul>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003Ca class=\"close button\" href=\"#\" data-jsid=\"titlebarCloseButton\" data-ft=\"{"tn":"+\\u003C"}\" role=\"button\">\u003C\/a>\u003C\/div>\u003Cdiv class=\"titlebarLabel clearfix\">\u003Ch4 class=\"titlebarTextWrapper\">\u003Cimg class=\"_51sn img\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/y4\/r\/-PAXP-deijE.gif\" data-jsid=\"presenceIndicator\" alt=\"\" width=\"1\" height=\"1\" \/>\u003Ca class=\"titlebarText noLink\" href=\"#\" rel=\"none\" data-jsid=\"titlebarText\" aria-level=\"3\" data-ft=\"{"tn":"C"}\" id=\"u_0_w\" role=\"button\">\u003C\/a>\u003C\/h4>\u003C\/div>\u003C\/div>\u003Cdiv class=\"fbNubFlyoutHeader\">\u003Cdiv class=\"_1sk5\">\u003Cdiv class=\"_1sk6 hidden_elem\" data-jsid=\"sheet\">\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"_1ia\">\u003Cdiv class=\"fbNubFlyoutBody scrollable\" data-jsid=\"chatConv\" data-ft=\"{"tn":"+L"}\">\u003Cdiv class=\"fbNubFlyoutBodyContent\">\u003Ctable class=\"uiGrid _51mz conversationContainer\" cellspacing=\"0\" cellpadding=\"0\" role=\"log\">\u003Ctbody>\u003Ctr class=\"_51mx\">\u003Ctd class=\"_51m- vBot _51mw\">\u003Cdiv class=\"accessible_elem\">Chat Conversation Start\u003C\/div>\u003Cimg class=\"pvm loading hidden_elem img\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/yb\/r\/GsNJNwuI-UM.gif\" alt=\"\" data-jsid=\"loadingIndicator\" width=\"16\" height=\"11\" \/>\u003Cdiv class=\"conversation\" aria-live=\"polite\" aria-atomic=\"false\" data-jsid=\"conversation\" id=\"u_0_x\">\u003C\/div>\u003Cdiv class=\"accessible_elem\">Chat Conversation End\u003C\/div>\u003Cdiv class=\"_51lq\" data-jsid=\"typingIndicator\">\u003C\/div>\u003Cdiv data-jsid=\"lastMessageIndicator\">\u003C\/div>\u003C\/td>\u003C\/tr>\u003C\/tbody>\u003C\/table>\u003C\/div>\u003C\/div>\u003Cdiv class=\"_4g6x\">\u003Cdiv class=\"_4g6y\">\u003Cdiv class=\"_4g6z _4g71\">Drag Link\/Files Here\u003C\/div>\u003Cdiv class=\"_4g6z _4g6- _4g6_\">Drop Files Here\u003C\/div>\u003Cdiv class=\"_4g6z _4g6- _4g70\">Drop Link Here\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"fbNubFlyoutFooter\">\u003Cdiv class=\"_552h\" data-jsid=\"inputContainer\">\u003Ctextarea class=\"uiTextareaAutogrow _552m\" data-jsid=\"input\" aria-controls=\"u_0_x\" data-ft=\"{"tn":"+N"}\" onkeydown=\"run_with(this, ["legacy:control-textarea"], function() {TextAreaControl.getInstance(this)});\">\u003C\/textarea>\u003C\/div>\u003Cdiv class=\"_552n\" data-jsid=\"iconsContainer\">\u003Cdiv class=\"_6a _552o\" data-jsid=\"photoUploaderContainer\">\u003C\/div>\u003Cdiv class=\"uiToggle emoticonsPanel\" data-jsid=\"emoticons\" data-ft=\"{"tn":"+O"}\">\u003Ca class=\"_5r8g\" href=\"#\" tabindex=\"-1\" rel=\"toggle\" role=\"button\">\u003Ci class=\"emoteTogglerImg img sp_zx-0ABL3iAw sx_e3f9ff\" title=\"Choose a sticker or emoticon\">\u003Cu>Choose a sticker or emoticon\u003C\/u>\u003C\/i>\u003Cspan data-jsid=\"nuxIndicator\">\u003C\/span>\u003Cspan class=\"tooltipNUXContainer\" data-jsid=\"tooltipNUXContainer\">\u003C\/span>\u003C\/a>\u003Cdiv class=\"panelFlyout _5r8f uiToggleFlyout\" data-jsid=\"stickersFlyout\">\u003Cdiv class=\"_5r8p\" data-jsid=\"stickers\">\u003Cdiv class=\"_5r8e\">\u003C\/div>\u003Cdiv class=\"_5r8m\">\u003Cdiv class=\"_5r8l hidden_elem\" data-id=\"emoticons\">\u003Ctable class=\"emoticonsTable\">\u003Ctbody>\u003Ctr>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_smile\" aria-label=\"smile\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_frown\" aria-label=\"frown\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_tongue\" aria-label=\"tongue\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_grin\" aria-label=\"grin\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_gasp\" aria-label=\"gasp\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_wink\" aria-label=\"wink\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_pacman\" aria-label=\"pacman\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003C\/tr>\u003Ctr>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_grumpy\" aria-label=\"grumpy\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_unsure\" aria-label=\"unsure\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_cry\" aria-label=\"cry\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_kiki\" aria-label=\"kiki\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_glasses\" aria-label=\"glasses\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_sunglasses\" aria-label=\"sunglasses\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_heart\" aria-label=\"heart\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003C\/tr>\u003Ctr>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_devil\" aria-label=\"devil\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_angel\" aria-label=\"angel\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_squint\" aria-label=\"squint\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_confused\" aria-label=\"confused\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_upset\" aria-label=\"upset\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_colonthree\" aria-label=\"colonthree\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_like\" aria-label=\"like\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003C\/tr>\u003C\/tbody>\u003C\/table>\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"panelFlyoutArrow\">\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"fbNubFlyoutAttachments\">\u003Cdiv class=\"chatAttachmentShelf\" data-jsid=\"attachmentShelf\">\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>"},4],["m_0_3k",{"__html":"\u003Cdiv class=\"fbNub _50-v _50mz _50m_\">\u003Ca class=\"fbNubButton\" tabindex=\"0\" href=\"#\" data-jsid=\"dockButton\" role=\"button\">\u003Cdiv class=\"clearfix fbChatTab\">\u003Cdiv class=\"funhouse rfloat _ohf\">\u003Cdiv class=\"close\" title=\"Close\" data-jsid=\"closeButton\">\u003C\/div>\u003C\/div>\u003Cdiv class=\"wrapWrapper\">\u003Cdiv class=\"wrap\">\u003Cdiv class=\"clearfix\">\u003Cspan class=\"_5ugh _5ugg hidden_elem _51jx hidden_elem lfloat _ohe\" data-jsid=\"numMessages\" id=\"u_0_12\">0\u003C\/span>\u003Cdiv class=\"name fwb\" data-jsid=\"name\">\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/a>\u003Cdiv class=\"fbNubFlyout fbDockChatTabFlyout uiContextualLayerParent\" data-jsid=\"chatWrapper\" role=\"complementary\" data-ft=\"{"tn":"+M"}\" aria-labelledby=\"u_0_10\">\u003Cdiv class=\"fbNubFlyoutOuter\">\u003Cdiv class=\"fbNubFlyoutInner\">\u003Cdiv class=\"clearfix fbNubFlyoutTitlebar titlebar\" data-jsid=\"nubFlyoutTitlebar\" data-ft=\"{"tn":"+J"}\">\u003Cdiv class=\"mls titlebarButtonWrapper rfloat _ohf\">\u003Ca data-hover=\"tooltip\" aria-label=\"Add more friends to chat\" class=\"addToThread button\" href=\"#\" data-jsid=\"addToThreadLink\" data-ft=\"{"tn":"+F"}\" role=\"button\">\u003C\/a>\u003Ca data-hover=\"tooltip\" aria-label=\"Start a video call\" class=\"videoicon button\" href=\"#\" data-jsid=\"videoCallLink\" data-gt=\"{"videochat":"call_clicked_chat_tab"}\" data-ft=\"{"tn":"+P"}\" role=\"button\">\u003C\/a>\u003Cdiv class=\"uiSelector inlineBlock _510p\" data-jsid=\"dropdown\">\u003Cdiv class=\"uiToggle wrap\">\u003Ca data-hover=\"tooltip\" aria-label=\"Options\" data-tooltip-alignh=\"center\" class=\"button uiSelectorButton\" href=\"#\" data-ft=\"{"tn":"p"}\" role=\"button\" aria-haspopup=\"1\" rel=\"toggle\">\u003C\/a>\u003Cdiv class=\"uiSelectorMenuWrapper uiToggleFlyout\">\u003Cdiv role=\"menu\" class=\"uiMenu uiSelectorMenu\">\u003Cul class=\"uiMenuInner\">\u003Cli class=\"uiMenuItem\" data-label=\"See Full Conversation\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"0\" href=\"#\" data-jsid=\"conversationLink\">\u003Cspan class=\"itemLabel fsm\">See Full Conversation\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuItem\">\u003Cform data-jsid=\"attachButtonForm\" action=\"https:\/\/upload.facebook.com\/ajax\/mercury\/upload.php\" method=\"post\" onsubmit=\"return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)\" id=\"u_0_13\">\u003Cinput type=\"hidden\" name=\"fb_dtsg\" value=\"AQFcXAeFeVL6\" autocomplete=\"off\" \/>\u003Cinput type=\"hidden\" autocomplete=\"off\" data-jsid=\"attachID\" name=\"attach_id\" \/>\u003Cdiv class=\"_6a _m _4q60 itemLabel\">\u003Cinput type=\"file\" class=\"_n\" name=\"attachment[]\" multiple=\"1\" data-jsid=\"fileInput\" \/>\u003Ca class=\"_4q61 itemAnchor\">Add Files...\u003C\/a>\u003C\/div>\u003C\/form>\u003C\/li>\u003Cli class=\"uiMenuItem\" data-label=\"Add Friends to Chat...\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"addFriendLink\">\u003Cspan class=\"itemLabel fsm\">Add Friends to Chat...\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuItem\" data-label=\"\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"privacyLink\">\u003Cspan class=\"itemLabel fsm\"> \u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuSeparator\">\u003C\/li>\u003Cli class=\"uiMenuItem hidden_elem\" data-label=\"Mute Conversation...\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"muteThreadLink\">\u003Cspan class=\"itemLabel fsm\">Mute Conversation...\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuItem hidden_elem\" data-label=\"Unmute Conversation\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"unmuteThreadLink\">\u003Cspan class=\"itemLabel fsm\">Unmute Conversation\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuItem\" data-label=\"Clear Window\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"clearWindowLink\">\u003Cspan class=\"itemLabel fsm\">Clear Window\u003C\/span>\u003C\/a>\u003C\/li>\u003Cli class=\"uiMenuSeparator\">\u003C\/li>\u003Cli class=\"uiMenuItem\" data-label=\"Report as Spam or Abuse...\">\u003Ca class=\"itemAnchor\" role=\"menuitem\" tabindex=\"-1\" href=\"#\" data-jsid=\"reportSpamLink\">\u003Cspan class=\"itemLabel fsm\">Report as Spam or Abuse...\u003C\/span>\u003C\/a>\u003C\/li>\u003C\/ul>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003Ca class=\"close button\" href=\"#\" data-jsid=\"titlebarCloseButton\" data-ft=\"{"tn":"+\\u003C"}\" role=\"button\">\u003C\/a>\u003C\/div>\u003Cdiv class=\"titlebarLabel clearfix\">\u003Ch4 class=\"titlebarTextWrapper\">\u003Cimg class=\"_51sn img\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/y4\/r\/-PAXP-deijE.gif\" data-jsid=\"presenceIndicator\" alt=\"\" width=\"1\" height=\"1\" \/>\u003Ca class=\"titlebarText noLink\" href=\"#\" rel=\"none\" data-jsid=\"titlebarText\" aria-level=\"3\" data-ft=\"{"tn":"C"}\" id=\"u_0_10\" role=\"button\">\u003C\/a>\u003C\/h4>\u003C\/div>\u003C\/div>\u003Cdiv class=\"fbNubFlyoutHeader\">\u003Cdiv class=\"_1sk5\">\u003Cdiv class=\"_1sk6 hidden_elem\" data-jsid=\"sheet\">\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"_1ia\">\u003Cdiv class=\"fbNubFlyoutBody scrollable\" data-jsid=\"chatConv\" data-ft=\"{"tn":"+L"}\">\u003Cdiv class=\"fbNubFlyoutBodyContent\">\u003Ctable class=\"uiGrid _51mz conversationContainer\" cellspacing=\"0\" cellpadding=\"0\" role=\"log\">\u003Ctbody>\u003Ctr class=\"_51mx\">\u003Ctd class=\"_51m- vBot _51mw\">\u003Cdiv class=\"accessible_elem\">Chat Conversation Start\u003C\/div>\u003Cimg class=\"pvm loading hidden_elem img\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/yb\/r\/GsNJNwuI-UM.gif\" alt=\"\" data-jsid=\"loadingIndicator\" width=\"16\" height=\"11\" \/>\u003Cdiv class=\"conversation\" aria-live=\"polite\" aria-atomic=\"false\" data-jsid=\"conversation\" id=\"u_0_11\">\u003C\/div>\u003Cdiv class=\"accessible_elem\">Chat Conversation End\u003C\/div>\u003Cdiv class=\"_51lq\" data-jsid=\"typingIndicator\">\u003C\/div>\u003Cdiv data-jsid=\"lastMessageIndicator\">\u003C\/div>\u003C\/td>\u003C\/tr>\u003C\/tbody>\u003C\/table>\u003C\/div>\u003C\/div>\u003Cdiv class=\"_4g6x\">\u003Cdiv class=\"_4g6y\">\u003Cdiv class=\"_4g6z _4g71\">Drag Link\/Files Here\u003C\/div>\u003Cdiv class=\"_4g6z _4g6- _4g6_\">Drop Files Here\u003C\/div>\u003Cdiv class=\"_4g6z _4g6- _4g70\">Drop Link Here\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"fbNubFlyoutFooter\">\u003Cdiv class=\"_552h\" data-jsid=\"inputContainer\">\u003Ctextarea class=\"uiTextareaAutogrow _552m\" data-jsid=\"input\" aria-controls=\"u_0_11\" data-ft=\"{"tn":"+N"}\" onkeydown=\"run_with(this, ["legacy:control-textarea"], function() {TextAreaControl.getInstance(this)});\">\u003C\/textarea>\u003C\/div>\u003Cdiv class=\"_552n\" data-jsid=\"iconsContainer\">\u003Cdiv class=\"_6a _552o\" data-jsid=\"photoUploaderContainer\">\u003C\/div>\u003Cdiv class=\"uiToggle emoticonsPanel\" data-jsid=\"emoticons\" data-ft=\"{"tn":"+O"}\">\u003Ca class=\"_5r8g\" href=\"#\" tabindex=\"-1\" rel=\"toggle\" role=\"button\">\u003Ci class=\"emoteTogglerImg img sp_zx-0ABL3iAw sx_e3f9ff\" title=\"Choose a sticker or emoticon\">\u003Cu>Choose a sticker or emoticon\u003C\/u>\u003C\/i>\u003Cspan data-jsid=\"nuxIndicator\">\u003C\/span>\u003Cspan class=\"tooltipNUXContainer\" data-jsid=\"tooltipNUXContainer\">\u003C\/span>\u003C\/a>\u003Cdiv class=\"panelFlyout _5r8f uiToggleFlyout\" data-jsid=\"stickersFlyout\">\u003Cdiv class=\"_5r8p\" data-jsid=\"stickers\">\u003Cdiv class=\"_5r8e\">\u003C\/div>\u003Cdiv class=\"_5r8m\">\u003Cdiv class=\"_5r8l hidden_elem\" data-id=\"emoticons\">\u003Ctable class=\"emoticonsTable\">\u003Ctbody>\u003Ctr>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_smile\" aria-label=\"smile\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_frown\" aria-label=\"frown\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_tongue\" aria-label=\"tongue\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_grin\" aria-label=\"grin\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_gasp\" aria-label=\"gasp\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_wink\" aria-label=\"wink\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_pacman\" aria-label=\"pacman\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003C\/tr>\u003Ctr>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_grumpy\" aria-label=\"grumpy\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_unsure\" aria-label=\"unsure\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_cry\" aria-label=\"cry\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_kiki\" aria-label=\"kiki\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_glasses\" aria-label=\"glasses\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_sunglasses\" aria-label=\"sunglasses\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_heart\" aria-label=\"heart\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003C\/tr>\u003Ctr>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_devil\" aria-label=\"devil\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_angel\" aria-label=\"angel\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_squint\" aria-label=\"squint\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_confused\" aria-label=\"confused\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_upset\" aria-label=\"upset\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_colonthree\" aria-label=\"colonthree\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003Ctd class=\"panelCell\">\u003Ca class=\"emoticon emoticon_like\" aria-label=\"like\" href=\"#\" role=\"button\">\u003C\/a>\u003C\/td>\u003C\/tr>\u003C\/tbody>\u003C\/table>\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"panelFlyoutArrow\">\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"fbNubFlyoutAttachments\">\u003Cdiv class=\"chatAttachmentShelf\" data-jsid=\"attachmentShelf\">\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>"},4],["m_0_3n",{"__html":"\u003Cdiv class=\"_510u\">\u003Cdiv class=\"_510v\">\u003C\/div>\u003C\/div>"},2],["m_0_3o",{"__html":"\u003Cdiv class=\"clearfix mvs\">\u003Ci class=\"rfloat _ohf img sp_zx-0ABL3iAw sx_949c58\" data-jsid=\"icon\">\u003C\/i>\u003Cdiv data-jsid=\"name\">\u003C\/div>\u003C\/div>"},2],["m_0_3p",{"__html":"\u003Cdiv>\u003Ca class=\"uiIconText _52i4\" href=\"#\" style=\"padding-left: 12px;\" data-jsid=\"forwardLink\" role=\"button\">\u003Ci class=\"img sp_gPysIaDCTmE sx_4de768\" style=\"top: 3px;\">\u003C\/i>\u003Cspan data-jsid=\"forwardText\">\u003C\/span>\u003C\/a>\u003C\/div>"},2],["m_0_3q",{"__html":"\u003Cabbr title=\"Thursday, January 1, 1970 at 4:30am\" data-utime=\"0\" class=\"hidden_elem timestamp\" data-jsid=\"timestamp\">over a year ago\u003C\/abbr>"},2],["m_0_3r",{"__html":"\u003Cdiv class=\"clearfix\">\u003Ci class=\"mrm _s0 _29h _29i _rw img sp_gPysIaDCTmE sx_4d92d8\" data-jsid=\"profilePhoto\">\u003C\/i>\u003Cdiv class=\"_29j _29k\">\u003Cdiv class=\"mbs fsl fwb fcb\" data-jsid=\"mainText\">\u003C\/div>\u003Cdiv class=\"aux-message fcg\" data-jsid=\"auxMessage\">Video will start as soon as you answer.\u003C\/div>\u003Cdiv class=\"mts hidden_elem fcg\" data-jsid=\"slowMessage\">\u003Cspan class=\"fwb fcb\">Having trouble?\u003C\/span> Your connection may be \u003Ca href=\"\/help\/214265948627885\" target=\"_blank\">too slow\u003C\/a>.\u003C\/div>\u003C\/div>\u003C\/div>"},2],["m_0_3s",{"__html":"\u003Cdiv class=\"mtm pam _4_wc attachment uiBoxGray\">\u003Cspan class=\"uiIconText MercuryThreadlistIconError\" data-jsid=\"error\">\u003Ci class=\"img sp_zx-0ABL3iAw sx_521634\">\u003C\/i>\u003C\/span>\u003C\/div>"},2],["m_0_3t",{"__html":"\u003Cdiv class=\"_59go\">\u003Cdiv class=\"clearfix MercuryExternalLink\">\u003Cdiv class=\"_rpb clearfix stat_elem lfloat _ohe\" data-jsid=\"preview\">\u003Ca class=\"_ksh\" aria-label=\"Uploaded\" data-jsid=\"image-link\" href=\"#\" role=\"img\" target=\"_blank\">\u003Cimg alt=\"\" data-jsid=\"preview-image\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/yw\/r\/drP8vlvSl_8.gif\" \/>\u003C\/a>\u003Cdiv data-jsid=\"progress-bar-container\" class=\"_5sly hidden_elem\">\u003Cdiv class=\"_5e4h _5e2k _5e2l\" data-jsid=\"progress-bar\" id=\"u_0_14\">\u003Cdiv class=\"_5e4k _5e2d\" style=\"width:0\u0025\">\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"_5uf0 hidden_elem\" data-jsid=\"cancel-button-container\">\u003Clabel class=\"uiCloseButton uiCloseButtonSmall uiCloseButtonSmallDark\" for=\"u_0_15\">\u003Cinput aria-label=\"Remove\" title=\"Remove\" type=\"button\" data-jsid=\"cancel-button\" id=\"u_0_15\" \/>\u003C\/label>\u003C\/div>\u003C\/div>\u003Cdiv class=\"MercuryLinkRight rfloat _ohf\">\u003Cdiv class=\"MercuryLinkTitle\">\u003Ca class=\"linkTitle\" target=\"_blank\" href=\"#\" data-jsid=\"name\" role=\"button\">\u003C\/a>\u003C\/div>\u003Cdiv class=\"fsm fwn fcg\" data-jsid=\"shortLink\">\u003C\/div>\u003C\/div>\u003C\/div>\u003C\/div>"},3],["m_0_3w",{"__html":"\u003Cdiv class=\"_59go _59gq\">\u003Ca class=\"uiIconText _3tn\" href=\"#\" data-jsid=\"link\" role=\"button\">\u003Ci class=\"img sp_zx-0ABL3iAw sx_d99395\">\u003C\/i>\u003Cspan data-jsid=\"filename\" class=\"_59gp\">\u003C\/span>\u003C\/a>\u003C\/div>"},2],["m_0_3x",{"__html":"\u003Cdiv class=\"_59go _59gq\">\u003Cspan class=\"uiIconText _3tn\">\u003Ci class=\"img sp_zx-0ABL3iAw sx_d99395\">\u003C\/i>\u003Cspan data-jsid=\"filename\" class=\"filename\">\u003C\/span>\u003C\/span>\u003C\/div>"},2],["m_0_3y",{"__html":"\u003Cdiv class=\"_59go _59gq\">\u003Cdiv class=\"_59gs\">\u003Cdiv data-jsid=\"openLinkContainer\" class=\"_59gr hidden_elem\">\u003Ca class=\"_59hm\" href=\"#\" data-jsid=\"openFile\" role=\"button\">open\u003C\/a> \u00b7 \u003C\/div>\u003Ca class=\"_59hn\" href=\"#\" data-jsid=\"downloadFile\" role=\"button\">download\u003C\/a>\u003C\/div>\u003Ca class=\"uiIconText _3tn\" href=\"#\" data-jsid=\"link\" role=\"button\">\u003Ci class=\"img sp_zx-0ABL3iAw sx_d99395\">\u003C\/i>\u003Cspan class=\"_59gp\" data-jsid=\"filename\">\u003C\/span>\u003C\/a>\u003C\/div>"},2],["m_0_3z",{"__html":"\u003Cdiv class=\"musicAttachment\">\u003Cdiv class=\"_59go _59gq\" data-jsid=\"icon_link\">\u003Ca class=\"uiIconText _3tn\" href=\"#\" data-jsid=\"link\" role=\"button\">\u003Ci class=\"img sp_zx-0ABL3iAw sx_d99395\">\u003C\/i>\u003Cspan data-jsid=\"filename\" class=\"_59gp\">\u003C\/span>\u003C\/a>\u003C\/div>\u003Cdiv class=\"_rpb clearfix stat_elem\" data-jsid=\"preview\">\u003Ca class=\"_ksh\" aria-label=\"Uploaded\" data-jsid=\"image-link\" href=\"#\" role=\"img\" target=\"_blank\">\u003Cimg alt=\"\" data-jsid=\"preview-image\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/yw\/r\/drP8vlvSl_8.gif\" \/>\u003C\/a>\u003Cdiv data-jsid=\"progress-bar-container\" class=\"_5sly hidden_elem\">\u003Cdiv class=\"_5e4h _5e2k _5e2l\" data-jsid=\"progress-bar\" id=\"u_0_16\">\u003Cdiv class=\"_5e4k _5e2d\" style=\"width:0\u0025\">\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"_5uf0 hidden_elem\" data-jsid=\"cancel-button-container\">\u003Clabel class=\"uiCloseButton uiCloseButtonSmall uiCloseButtonSmallDark\" for=\"u_0_17\">\u003Cinput aria-label=\"Remove\" title=\"Remove\" type=\"button\" data-jsid=\"cancel-button\" id=\"u_0_17\" \/>\u003C\/label>\u003C\/div>\u003C\/div>\u003C\/div>"},3],["m_0_42",{"__html":"\u003Cdiv class=\"_rpb clearfix stat_elem\">\u003Ca class=\"_ksh\" aria-label=\"Uploaded\" data-jsid=\"image-link\" href=\"#\" role=\"img\" target=\"_blank\">\u003Cimg alt=\"\" data-jsid=\"preview-image\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/yw\/r\/drP8vlvSl_8.gif\" \/>\u003C\/a>\u003Cdiv data-jsid=\"progress-bar-container\" class=\"_5sly hidden_elem\">\u003Cdiv class=\"_5e4h _5e2k _5e2l\" data-jsid=\"progress-bar\" id=\"u_0_18\">\u003Cdiv class=\"_5e4k _5e2d\" style=\"width:0\u0025\">\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"_5uf0 hidden_elem\" data-jsid=\"cancel-button-container\">\u003Clabel class=\"uiCloseButton uiCloseButtonSmall uiCloseButtonSmallDark\" for=\"u_0_19\">\u003Cinput aria-label=\"Remove\" title=\"Remove\" type=\"button\" data-jsid=\"cancel-button\" id=\"u_0_19\" \/>\u003C\/label>\u003C\/div>\u003C\/div>"},3],["m_0_45",{"__html":"\u003Cdiv class=\"_59go\">\u003Ca data-jsid=\"link\" target=\"_blank\" href=\"#\" role=\"button\">\u003Cspan data-jsid=\"name\">\u003C\/span>\u003C\/a>\u003C\/div>"},2],["m_0_46",{"__html":"\u003Cdiv class=\"_59go\">\u003Cdiv class=\"MercuryEventShare\">\u003Cdiv class=\"MercuryEventSharePreview\">\u003Cdiv class=\"_rpb clearfix stat_elem\" data-jsid=\"preview\">\u003Ca class=\"_ksh\" aria-label=\"Uploaded\" data-jsid=\"image-link\" href=\"#\" role=\"img\" target=\"_blank\">\u003Cimg alt=\"\" data-jsid=\"preview-image\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/yw\/r\/drP8vlvSl_8.gif\" \/>\u003C\/a>\u003Cdiv data-jsid=\"progress-bar-container\" class=\"_5sly hidden_elem\">\u003Cdiv class=\"_5e4h _5e2k _5e2l\" data-jsid=\"progress-bar\" id=\"u_0_1a\">\u003Cdiv class=\"_5e4k _5e2d\" style=\"width:0\u0025\">\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"_5uf0 hidden_elem\" data-jsid=\"cancel-button-container\">\u003Clabel class=\"uiCloseButton uiCloseButtonSmall uiCloseButtonSmallDark\" for=\"u_0_1b\">\u003Cinput aria-label=\"Remove\" title=\"Remove\" type=\"button\" data-jsid=\"cancel-button\" id=\"u_0_1b\" \/>\u003C\/label>\u003C\/div>\u003C\/div>\u003C\/div>\u003Cdiv class=\"MercuryEventShareTitle\">\u003Ca class=\"eventShareTitle\" target=\"_blank\" href=\"#\" data-jsid=\"name\" role=\"button\">\u003C\/a>\u003C\/div>\u003C\/div>\u003C\/div>"},3],["m_0_49",{"__html":"\u003Cdiv class=\"_59go\">\u003Cdiv data-jsid=\"post\">\u003C\/div>\u003C\/div>"},2],["m_0_4a",{"__html":"\u003Cdiv class=\"_59go\">\u003Ca class=\"uiVideoThumb videoPreview\" href=\"#\" data-jsid=\"thumb\" role=\"button\">\u003Cimg class=\"img\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/y4\/r\/-PAXP-deijE.gif\" alt=\"Play Video\" \/>\u003Ci>\u003C\/i>\u003C\/a>\u003C\/div>"},2],["m_0_4b",{"__html":"\u003Cdiv class=\"_2qh _2qe uploadFileRow\">\u003Cimg class=\"_2qf img\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/yb\/r\/GsNJNwuI-UM.gif\" alt=\"\" width=\"16\" height=\"11\" \/>\u003Cbutton value=\"1\" class=\"_42ft _5upp _50zy _2qg _50zz _50z-\" title=\"Remove\" aria-label=\"Remove file\" data-jsid=\"closeFileUpload\" type=\"submit\">Remove\u003C\/button>\u003Cdiv class=\"_4-te\">\u003Cspan class=\"uiIconText _3tn\" data-jsid=\"iconText\">\u003Ci class=\"img sp_zx-0ABL3iAw sx_d99395\">\u003C\/i>\u003C\/span>\u003C\/div>\u003C\/div>"},2],["m_0_4c",{"__html":"\u003Cdiv class=\"_2qh _2qe _5e52\">\u003Cimg class=\"_2qf img\" src=\"https:\/\/fbstatic-a.akamaihd.net\/rsrc.php\/v2\/yb\/r\/GsNJNwuI-UM.gif\" alt=\"\" width=\"16\" height=\"11\" \/>\u003Clabel class=\"_2qg uiCloseButton uiCloseButtonSmall uiCloseButtonSmallDark\" for=\"u_0_1c\">\u003Cinput aria-label=\"Remove\" title=\"Remove\" type=\"button\" data-jsid=\"closeFileUpload\" id=\"u_0_1c\" \/>\u003C\/label>\u003C\/div>"},2],["m_0_4d",{"__html":"\u003Cdiv class=\"mas pam uiBoxYellow\">\u003Cstrong>This message is no longer available\u003C\/strong> because it was identified as abusive or marked as spam.\u003C\/div>"},2],["m_0_4e",{"__html":"\u003Cdiv class=\"_542d\">\u003Ci class=\"img sp_F6Afu2XGiZY sx_79ea22\">\u003C\/i>\u003Cspan class=\"_55r7\">Failed to send\u003C\/span>\u003C\/div>"},2],["m_0_4f",{"__html":"\u003Cdiv class=\"_542d\">\u003Cimg class=\"img\" 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class=\"_42ft _5upp _50zy _5xsl rfloat _ohf _50-0 _50z-\" title=\"Close\" type=\"submit\">Close\u003C\/button>\u003Cdiv>You will no longer get notifications for this story.\u003C\/div>\u003C\/div>\u003Ca class=\"_1f89\" ajaxify=\"\/ajax\/litestand\/follow_post?message_id=10203560562249011&follow=1\" href=\"#\" rel=\"async-post\" role=\"button\">Get Notifications\u003C\/a>\u003C\/div>\u003C\/div>"},"unfollow_post":{"__html":"\u003Cdiv class=\"_1f86 _5wvy\">\u003Cdiv class=\"_5ww7 _5w_i _5ww9\">\u003Cdiv class=\"clearfix\">\u003Cbutton value=\"1\" class=\"_42ft _5upp _50zy _5xsl rfloat _ohf _50-0 _50z-\" title=\"Close\" type=\"submit\">Close\u003C\/button>\u003Cdiv>You will get a notification whenever someone comments on this story.\u003C\/div>\u003C\/div>\u003Ca class=\"_1f89\" ajaxify=\"\/ajax\/litestand\/follow_post?message_id=10203560562249011&follow=0\" href=\"#\" rel=\"async-post\" role=\"button\">Stop 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class=\"_42ft _5upp _50zy _5xsl rfloat _ohf _50-0 _50z-\" title=\"Close\" type=\"submit\">Close\u003C\/button>\u003Cdiv>You will no longer get notifications for this story.\u003C\/div>\u003C\/div>\u003Ca class=\"_1f89\" ajaxify=\"\/ajax\/litestand\/follow_post?message_id=10203560535808350&follow=1\" href=\"#\" rel=\"async-post\" role=\"button\">Get Notifications\u003C\/a>\u003C\/div>\u003C\/div>"},"unfollow_post":{"__html":"\u003Cdiv class=\"_1f86 _5wvy\">\u003Cdiv class=\"_5ww7 _5w_i _5ww9\">\u003Cdiv class=\"clearfix\">\u003Cbutton value=\"1\" class=\"_42ft _5upp _50zy _5xsl rfloat _ohf _50-0 _50z-\" title=\"Close\" type=\"submit\">Close\u003C\/button>\u003Cdiv>You will get a notification whenever someone comments on this story.\u003C\/div>\u003C\/div>\u003Ca class=\"_1f89\" ajaxify=\"\/ajax\/litestand\/follow_post?message_id=10203560535808350&follow=0\" href=\"#\" rel=\"async-post\" role=\"button\">Stop 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class=\"_42ft _5upp _50zy _5xsl rfloat _ohf _50-0 _50z-\" title=\"Close\" type=\"submit\">Close\u003C\/button>\u003Cdiv>You will no longer get notifications for this story.\u003C\/div>\u003C\/div>\u003Ca class=\"_1f89\" ajaxify=\"\/ajax\/litestand\/follow_post?message_id=10203560704692572&follow=1\" href=\"#\" rel=\"async-post\" role=\"button\">Get Notifications\u003C\/a>\u003C\/div>\u003C\/div>"},"unfollow_post":{"__html":"\u003Cdiv class=\"_1f86 _5wvy\">\u003Cdiv class=\"_5ww7 _5w_i _5ww9\">\u003Cdiv class=\"clearfix\">\u003Cbutton value=\"1\" class=\"_42ft _5upp _50zy _5xsl rfloat _ohf _50-0 _50z-\" title=\"Close\" type=\"submit\">Close\u003C\/button>\u003Cdiv>You will get a notification whenever someone comments on this story.\u003C\/div>\u003C\/div>\u003Ca class=\"_1f89\" ajaxify=\"\/ajax\/litestand\/follow_post?message_id=10203560704692572&follow=0\" href=\"#\" rel=\"async-post\" role=\"button\">Stop 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class=\"_42ft _5upp _50zy _5xsl rfloat _ohf _50-0 _50z-\" title=\"Close\" type=\"submit\">Close\u003C\/button>\u003Cdiv>You will no longer get notifications for this story.\u003C\/div>\u003C\/div>\u003Ca class=\"_1f89\" ajaxify=\"\/ajax\/litestand\/follow_post?message_id=4445359627443&follow=1\" href=\"#\" rel=\"async-post\" role=\"button\">Get Notifications\u003C\/a>\u003C\/div>\u003C\/div>"},"unfollow_post":{"__html":"\u003Cdiv class=\"_1f86 _5wvy\">\u003Cdiv class=\"_5ww7 _5w_i _5ww9\">\u003Cdiv class=\"clearfix\">\u003Cbutton value=\"1\" class=\"_42ft _5upp _50zy _5xsl rfloat _ohf _50-0 _50z-\" title=\"Close\" type=\"submit\">Close\u003C\/button>\u003Cdiv>You will get a notification whenever someone comments on this story.\u003C\/div>\u003C\/div>\u003Ca class=\"_1f89\" ajaxify=\"\/ajax\/litestand\/follow_post?message_id=4445359627443&follow=0\" href=\"#\" rel=\"async-post\" role=\"button\">Stop 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margin-top: 15px;"></i></div></div><div class="uiContextualDialogPositioner uiLayer hidden_elem uiContextualDialogLeft" id="u_0_68" data-position="left"><div class="uiOverlay uiContextualDialog uiContextualDialogArrowRight" data-width="300" data-destroyonhide="false" data-fadeonhide="false"><div class="uiOverlayContent"><div class="uiContextualDialogContent" role="dialog"></div></div><i class="uiContextualDialogArrow" style="top: 0%; margin-top: 15px;"></i></div></div><audio preload="auto"></audio><textarea class="textMetrics" style="width: 204px;">...</textarea><div class="_n8 _3qx fbPhotoSnowlift fbxPhoto uiLayer fullScreenAvailable slideshowAvailable hidden_elem" id="photos_snowlift" tabindex="0" role="region" aria-label="Facebook Photo Theater" aria-busy="true"><div class="_n9"><div class="_n3"><div class="fbPhotoSnowliftContainer uiContextualLayerParent" data-ft="{"type":44,"tn":"*F"}" data-ownerid="u_jsonp_5_11"><div class="clearfix fbPhotoSnowliftPopup" style="width: 1167px; height: 538px;"><div class="stageWrapper lfloat _ohe" style="width: 807px; line-height: 538px;"><div class="fbPhotoSnowliftFullScreen fullScreenSwitch" id="fullScreenSwitch"><a data-hover="tooltip" aria-label="Enter Fullscreen" data-tooltip-position="below" data-tooltip-alignh="right" href="https://www.facebook.com/#" id="fbPhotoSnowliftFullScreenSwitch" data-ft="{"tn":"+?"}" role="button"></a><a data-hover="tooltip" aria-label="Press Esc to exit fullscreen" data-tooltip-position="below" data-tooltip-alignh="right" href="https://www.facebook.com/#" id="fbPhotoSnowliftFullScreenClose" data-ft="{"tn":"+\u003C"}" role="button"></a></div><div class="stage" data-ft="{"tn":"E"}"><img class="spotlight hidden_elem" alt="" aria-describedby="fbPhotosSnowliftCaption" aria-busy="false" src="./ui_files/10513466_780485925306436_5657629826430071473_n(1).jpg" style="width: 807px; height: 538px;"><div class="fbPhotosPhotoTagboxes tagContainer" id="fbPhotoSnowliftTagBoxes"></div><div class="fbPhotoTagApproval hidden_elem" id="fbPhotoSnowliftTagApproval"></div><div class="_5bai" id="fbPhotoSnowliftComputerVisionInfo"></div></div><div class="videoStage" data-ft="{"tn":"F"}"></div><div class="stageActions" id="snowliftStageActions" data-ft="{"tn":"+\u0040"}"><div class="clearfix snowliftOverlay snowliftOverlayBar rightButtons"><div class="overlayBarButtons rfloat _ohf"><div class="_6a _6b fbPhotosPhotoActions" id="fbPhotoSnowliftActions"></div><div class="fbPhotosPhotoButtons" id="fbPhotoSnowliftButtons"></div></div><div class="mediaTitleInfo"><div class="mediaTitleBoxFlex"><div id="fbPhotoSnowliftMediaTitle"></div><span class="mlm hidden_elem" id="fbPhotoSnowliftPositionAndCount"></span><div class="mediaTitleInfoSpacer"></div></div></div></div><div class="fbPhotosPhotoTagboxBase newTagBox hidden_elem" style=""><div class="borderTagBox"><div class="innerTagBox"><div class="ieContentFix"> </div></div></div><div class="tag" style=""><div class="tagPointer"><img class="tagArrow img" src="./ui_files/7eXyMfo7rRq.png" alt="" width="19" height="5"><div class="tagName"></div></div></div></div><div class="fbPhotoTagger hidden_elem" id="u_jsonp_7_2"><div class="faceBox"><div class="typeaheadWrapper"><div class="typeaheadContainer"><div class="arrow"><div class="nub"></div></div><div class="typeaheadBackdrop"><div class="mbs typeaheadLabel">Type any name to tag:</div><div class="clearfix uiTokenizer uiNormalTokenizer photoTagTokenizer" id="u_jsonp_7_1"><div class="uiTypeahead photoTagTypeahead" data-ft="{"tn":"+Q"}" id="u_jsonp_7_x"><div class="wrap"><input type="hidden" autocomplete="off" class="hiddenInput"><div class="innerWrap"><div class="uiStickyPlaceholderInput uiStickyPlaceholderEmptyInput"><div class="placeholder" aria-hidden="true">Type any name</div><input type="text" class="inputtext textInput" name="user_name" placeholder="" autocomplete="off" aria-autocomplete="list" aria-expanded="false" aria-owns="typeahead_list_u_jsonp_7_x" aria-haspopup="true" role="combobox" spellcheck="false" id="u_jsonp_7_y" value="Type any name" aria-label="Type any name"></div></div></div></div></div></div></div></div></div></div></div><a class="snowliftPager prev" title="Previous" data-ft="{"tn":"+>"}"><i></i></a><a class="snowliftPager next hilightPager" title="Next" data-ft="{"tn":"+="}"><i></i></a><div class="photoError stageError hidden_elem" id="fbPhotoSnowliftError"></div></div><div class="rhc photoUfiContainer" data-ft="{"tn":"+Z"}" aria-busy="false"><div class="rhcHeader"><div class="fbPhotoSnowliftControls"><a data-hover="tooltip" aria-label="Press Esc to close" data-tooltip-position="below" data-tooltip-alignh="right" class="closeTheater" href="https://www.facebook.com/#" data-ft="{"tn":"+\u003C"}" role="button" id="js_106"></a><a data-hover="tooltip" aria-label="Press Esc to exit fullscreen" data-tooltip-position="below" data-tooltip-alignh="right" class="closeTheater fullscreenCommentClose" href="https://www.facebook.com/#" data-ft="{"tn":"+\u003C"}" role="button"></a></div><div id="fbPhotoSnowliftInlineEditor"></div></div><form rel="async" class="fbPhotosSnowliftFeedbackForm rhcBody commentable_item autoexpand_mode" method="post" data-ft="{"tn":"]"}" action="https://www.facebook.com/ajax/ufi/modify.php" onsubmit="return window.Event && Event.__inlineSubmit && Event.__inlineSubmit(this,event)" id="u_ps_0_0_a" style="padding-bottom: 0px;"><input type="hidden" name="charset_test" value="€,´,€,´,水,Д,Є"><input type="hidden" name="fb_dtsg" value="AQGhzLRDnUA1" autocomplete="off"><div class="uiScrollableArea rhcScroller fade uiScrollableAreaWithShadow" style="width: 285px; height: auto;"><div class="uiScrollableAreaWrap scrollable" aria-label="Scrollable region" role="group" tabindex="0"><div class="uiScrollableAreaBody"><div class="uiScrollableAreaContent"><span id="fbPhotoSnowliftSpecificAudience"></span><div class="clearfix fbPhotoSnowliftAuthorInfo"><div class="lfloat _ohe" id="fbPhotoSnowliftAuthorPic"></div><div class="_42ef"><div class="fbPhotoContributorName" id="fbPhotoSnowliftAuthorName"></div><div class="mrs fsm fwn fcg"><span id="fbPhotoSnowliftCreatorInfo"></span></div><div class="mrs fsm fwn fcg"><span id="fbPhotoSnowliftSubscribe"></span><a href="https://www.facebook.com/#" role="button" id="u_jsonp_7_z"></a><span id="fbPhotoSnowliftTimestamp"></span><div class="mls" id="fbPhotoSnowliftAudienceSelector"></div></div><div class="fsm fwn fcg"><div class="fbPhotosOnProfile" id="fbPhotoSnowliftOnProfile"></div></div><span id="fbPhotoSnowliftPromote"></span><span id="fbPhotoSnowliftViewOnApp"></span><span id="fbPhotoSnowliftUseApp"></span></div></div><div><span class="fbPhotosPhotoCaption" tabindex="0" aria-live="polite" id="fbPhotoSnowliftCaption"></span><span class="fbPhotoTagList hidden_elem" id="fbPhotoSnowliftTagList"></span><div class="fbPhotoPagesTagList" id="fbPhotoSnowliftPagesTagList"></div><div class="pts fbPhotoLegacyTagList" id="fbPhotoSnowliftLegacyTagList"></div><div class="mvm fbPhotosPhotoOwnerButtons stat_elem" id="fbPhotoSnowliftOwnerButtons"></div></div><div class="fbPhotosSnowliftFeedback" id="fbPhotoSnowliftFeedback"></div></div></div></div><div class="uiScrollableAreaTrack invisible_elem" style="opacity: 0;"><div class="uiScrollableAreaGripper hidden_elem" style="height: 372.25457570715474px; top: 0px;"></div></div></div><div class="fbPhotosSnowboxFeedbackInput" id="fbPhotoSnowliftFeedbackInput"></div></form><div class="fbPhotosSnowliftPlaceInfo" id="fbPhotoSnowliftPlaceInfo"></div><div class="_5ciw rhcFooter" data-ft="{"tn":"+\\"}" style="bottom: 0px;"></div></div></div></div><div id="pagelet_photo_viewer_init" class="hidden_elem" data-referrer="pagelet_photo_viewer_init" style="min-height: 100px;"><div id="pagelet_photo_viewer" data-referrer="pagelet_photo_viewer"><div id="snowlift_pagelet_photo_data" data-referrer="snowlift_pagelet_photo_data"></div></div></div></div></div></div></body></html> |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/A4.measures.R
\name{A4.measures}
\alias{A4.measures}
\title{A4 page measures}
\usage{
A4.measures(metric = c("cm", "inch"))
}
\arguments{
\item{metric}{= c('cm', 'inch')}
}
\description{
A4 page measures
}
\examples{
A4.measures
}
| /man/A4.measures.Rd | no_license | NathanDeFruyt/WormTools | R | false | true | 328 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/A4.measures.R
\name{A4.measures}
\alias{A4.measures}
\title{A4 page measures}
\usage{
A4.measures(metric = c("cm", "inch"))
}
\arguments{
\item{metric}{= c('cm', 'inch')}
}
\description{
A4 page measures
}
\examples{
A4.measures
}
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/weldlog.R
\name{weldlog}
\alias{weldlog}
\title{Changes boundaries segments in basic lithologs}
\usage{
weldlog(
log,
dt,
seg,
j = 1:length(dt),
col.xy = 1,
col.dt = 2,
auto.dt = T,
add.dt = 0,
omit1 = NULL,
omit2 = NULL,
warn = T,
tolerance = 8
)
}
\arguments{
\item{log}{a "litholog()"-like data frame on which the new segments
need to be welded.}
\item{dt}{the position of the n boundaries to change.}
\item{seg}{a list of n dataframes having xy and dt coordinates for
the segments that are going to be welded to the log.}
\item{j}{the indexes of the segments attributed to each boundary or
the names of these segments. Should be of same length than dt.}
\item{col.xy}{the number of the column for the xy coordinates in the
seg dataframes.}
\item{col.dt}{the number of the column for the dt coordinates in the
seg dataframes.}
\item{auto.dt}{whether to automatically add the dt value to the dt of
the segments (with the add.dt value when it is not zero)}
\item{add.dt}{a value to add to the dt of the segments for each
boundary (in addition of the value of the \code{dt} parameter). Should be of
length 1 or of same length than dt.}
\item{omit1, omit2}{the dt of the boundary for which either the upper
or lower bed should not be welded to (1 and 2 depending on the order of the
beds in the original log)}
\item{warn}{whether you want to be annoyed (beginners should find it
useful to be annoyed)}
\item{tolerance}{the order of tolerance for errors, i.e. the number of
decimals considered as being meaningful for matching dt to log}
}
\value{
a "litholog()"-like data frame, with new bed boundaries
}
\description{
Adds personalised segments to bed boundaries of lithologs from
"litholog()"-like data frames
}
\examples{
l <- c(0,1,2,3,4)
r <- c(1,2,3,4,5)
h <- c(4,3,4,3,4)
i <- c("B1","B2","B3","B4","B5")
log <- litholog(l, r, h, i)
whiteSet(xlim = c(-1,5), ylim = c(-1,6))
multigons(log$i, log$xy, log$dt, lty = 3)
seg1 <- sinpoint(4, 0, 0.25, phase=0.5)
seg2 <- sinpoint(4, 0, 0.25, phase=1.5)
welded <- weldlog(log, dt = c(2,3,4), seg = list(seg1 = seg1, seg2 = seg2),
j = c("seg1", "seg2", "seg2"))
multigons(welded$i, welded$xy, welded$dt, lwd = 3, lty = 2, border = "red")
}
\seealso{
Complementary function\code{\link{litholog}}
Underlying function: \code{\link{weld}}
To generate sinuoisidal segments: \code{\link{sinpoint}}
To generate a lot of different sinuoisidal segments: see the example in
\code{\link{neatPick}}
To import and adapt .svg files as segments: \code{\link{pointsvg}},
\code{\link{framesvg}}, \code{\link{centresvg}} and \code{\link{changesvg}}
}
| /man/weldlog.Rd | no_license | cran/StratigrapheR | R | false | true | 2,722 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/weldlog.R
\name{weldlog}
\alias{weldlog}
\title{Changes boundaries segments in basic lithologs}
\usage{
weldlog(
log,
dt,
seg,
j = 1:length(dt),
col.xy = 1,
col.dt = 2,
auto.dt = T,
add.dt = 0,
omit1 = NULL,
omit2 = NULL,
warn = T,
tolerance = 8
)
}
\arguments{
\item{log}{a "litholog()"-like data frame on which the new segments
need to be welded.}
\item{dt}{the position of the n boundaries to change.}
\item{seg}{a list of n dataframes having xy and dt coordinates for
the segments that are going to be welded to the log.}
\item{j}{the indexes of the segments attributed to each boundary or
the names of these segments. Should be of same length than dt.}
\item{col.xy}{the number of the column for the xy coordinates in the
seg dataframes.}
\item{col.dt}{the number of the column for the dt coordinates in the
seg dataframes.}
\item{auto.dt}{whether to automatically add the dt value to the dt of
the segments (with the add.dt value when it is not zero)}
\item{add.dt}{a value to add to the dt of the segments for each
boundary (in addition of the value of the \code{dt} parameter). Should be of
length 1 or of same length than dt.}
\item{omit1, omit2}{the dt of the boundary for which either the upper
or lower bed should not be welded to (1 and 2 depending on the order of the
beds in the original log)}
\item{warn}{whether you want to be annoyed (beginners should find it
useful to be annoyed)}
\item{tolerance}{the order of tolerance for errors, i.e. the number of
decimals considered as being meaningful for matching dt to log}
}
\value{
a "litholog()"-like data frame, with new bed boundaries
}
\description{
Adds personalised segments to bed boundaries of lithologs from
"litholog()"-like data frames
}
\examples{
l <- c(0,1,2,3,4)
r <- c(1,2,3,4,5)
h <- c(4,3,4,3,4)
i <- c("B1","B2","B3","B4","B5")
log <- litholog(l, r, h, i)
whiteSet(xlim = c(-1,5), ylim = c(-1,6))
multigons(log$i, log$xy, log$dt, lty = 3)
seg1 <- sinpoint(4, 0, 0.25, phase=0.5)
seg2 <- sinpoint(4, 0, 0.25, phase=1.5)
welded <- weldlog(log, dt = c(2,3,4), seg = list(seg1 = seg1, seg2 = seg2),
j = c("seg1", "seg2", "seg2"))
multigons(welded$i, welded$xy, welded$dt, lwd = 3, lty = 2, border = "red")
}
\seealso{
Complementary function\code{\link{litholog}}
Underlying function: \code{\link{weld}}
To generate sinuoisidal segments: \code{\link{sinpoint}}
To generate a lot of different sinuoisidal segments: see the example in
\code{\link{neatPick}}
To import and adapt .svg files as segments: \code{\link{pointsvg}},
\code{\link{framesvg}}, \code{\link{centresvg}} and \code{\link{changesvg}}
}
|
rm(list=ls())
#Xinming Zhuo, xzhuo@bcm.edu
#this script take samcluster.csv files for similarity comparison
#it take one ore more files to plot
# the plot and new csv file will saved to the the same location and name as last file
#only for pair wise comparison
#patch 1
#cluster_compare_simple_v1.R fix bugs when samcluster file has read types less than designated 10 types
#patch# 1a
#change overhang of letter and make them monospace, add read number at top at log scale
#patch 1b
#change cluster box color and adding similarity axis for similarity score
#patch 1b1
#change color of font according to the sample for visualization
#patch 1b2
#pool all reads in the same cluster of each sample
#make both pdf and png
#fix color for mother gDNA
#patch 1b2a
#elastic height for figures
#patch 1b2b
#fixed color for father and mother
#save overall summary to mother, save one by one file under fetus name
#patch 1b3a
#set threshold to display reads
#reduce weight for del in levestein distance adist
#set how many top read to compare default is 10
top_num=10 #number to reads to display
threshold=0.02 #filter for noise level 0-1
cut_height=2
# do not change scrpts below this line #
##############################################################################################
library(tcltk)
#vals <- varEntryDialog(vars=c('Variable1', 'Variable2'))
#tk_choose.files(default = "", caption = "Select files",multi = TRUE, filters = NULL, index = 1)
filter_set=matrix(c("CSV",".csv"),1,2,byrow=TRUE)
args_quest=tk_choose.files(default = "", caption = "Select Target cluster files to compare (REQUIRED, at lease one)",
multi = TRUE, filters = filter_set, index = 1)
setwd(dirname(args_quest[1]))
args=c(args_quest)
#write your target file name here
#windows
#args=c("C:/Users/xzhuo/Documents/bcm/Beaudet lab/NIPT/NGS/08302016 batch/IonXpress_006_R_2016_08_29_NIPT591P_gDNA.fastq.sam_chrYq11cluster.csv",
# "C:/Users/xzhuo/Documents/bcm/Beaudet lab/NIPT/NGS/08302016 batch/IonXpress_031_R_2016_08_29_NIPT590M_gDNA.fastq.sam_chrYq11cluster.csv",
# "C:/Users/xzhuo/Documents/bcm/Beaudet lab/NIPT/NGS/08302016 batch/IonXpress_095_R_2016_08_29_NIPT591M_gDNA.fastq.sam_chrYq11cluster.csv",
# "C:/Users/xzhuo/Documents/bcm/Beaudet lab/NIPT/NGS/08302016 batch/IonXpress_096_R_2016_08_29_NIPT601M_gDNA.fastq.sam_chrYq11cluster.csv")
#linux
#args=c("/home/xzhuo/Documents/08092016/IonXpress_096_R_2016_08_09_Jlup_0.5_HLA.fastq.sam_chr15q24cluster.csv"
# ,"/home/xzhuo/Documents/08092016/IonXpress_095_R_2016_08_09_Jlup_1_HLA.fastq.sam_chr15q24cluster.csv")
##############################################################################################
arg_num=length(args)
cut_num=2+arg_num
#cut_num=9
address<- args[1]
da=read.table(address[1],skip = 1,sep=",",fill=T)
da[,5]=1
min_num=min(top_num, nrow(da))
db=da[1:min_num,]
#combine reads in each cluster in each sample
da_sum=matrix(NA,max(da[,3]),5)
for (sum_num in 1:max(da[,3])){
da_sum1=da[da[,3]==sum_num,]
da_sum[sum_num,1]=as.character(da_sum1[da_sum1[,2]==max(da_sum1[,2]),1])[1]
da_sum[sum_num,2]=sum(da_sum1[,2])
da_sum[sum_num,4]=sum(da_sum1[,4])
da_sum[sum_num,3]=sum_num
da_sum[sum_num,5]=da[1,5]
}
db_sum=da_sum
for (i in 2:arg_num){
address[i]<-args[i]
da=read.table(address[i],skip = 1,sep=",",fill=T)
da[,5]=i
min_num=min(top_num, nrow(da))
db=rbind(db,da[1:min_num,])
da_sum=matrix(NA,max(da[,3]),5)
for (sum_num in 1:max(da[,3])){
da_sum1=da[da[,3]==sum_num,]
da_sum[sum_num,1]=as.character(da_sum1[da_sum1[,2]==max(da_sum1[,2]),1])[1]
da_sum[sum_num,2]=sum(da_sum1[,2])
da_sum[sum_num,4]=sum(da_sum1[,4])
da_sum[sum_num,3]=sum_num
da_sum[sum_num,5]=da[1,5]
}
db_sum=rbind(db_sum,da_sum)
}
#reset cut_height according to SNP number
SNP_num=nchar(as.character(db[1,1]))
if (SNP_num<20) {cut_height=cut_height^(SNP_num/20)}#1+cut_height^(SNP_num/20)/2}
cluster_name=gsub("\\_cluster.*","",gsub(".*.sam_","",basename(args[1])))
##################make cluster
db=db[db[,4]>=threshold,]
db_a_1=gsub("[*]","",db[,1])
d<-adist(db_a_1,costs=list(ins=0.5,del=0.5,sub=1))
#d<-adist(db[,1])
rownames(d)=db[,1]
hc<-hclust(as.dist(d))
#gsub("[*]","",test_d) #remove * from string
#adist(test_d,costs=list(ins=0.5,del=0.5,sub=1))#different weight for del
db[,6]=cutree(hc,h=cut_height+SNP_num/30)#k=cut_num)
df1=rbind(matrix(NA,arg_num,ncol(db)),db)
df1[1:arg_num,5]=1:arg_num
df1[1:arg_num,1]=address
dff<-data.frame(df1)
#creat new folder
address_folder=paste(dirname(args[1]),"/pair",sep="")
dir.create(address_folder,showWarnings =F)
write.csv(dff,file=paste(address_folder,"_compareall.csv",sep=""),row.names=FALSE)
db_sum=db[db_sum[,4]>=threshold,]
db_sum=db_sum[complete.cases(db_sum),]
db_sum_a_1=gsub("[*]","",db_sum[,1])
d_sum<-adist(db_sum_a_1,costs=list(ins=0.5,del=0.5,sub=1))
#d_sum<-adist(db_sum[,1])
rownames(d_sum)=db_sum[,1]
hc_sum<-hclust(as.dist(d_sum))
db_sum[,6]=cutree(hc_sum,h=cut_height+SNP_num/30)#k=cut_num)
df1_sum=rbind(matrix(NA,arg_num,ncol(db_sum)),db_sum)
df1_sum[1:arg_num,5]=1:arg_num
df1_sum[1:arg_num,1]=address
dff_sum<-data.frame(df1_sum)
write.csv(dff_sum,file=paste(address_folder,"_compareall_sum.csv",sep=""),row.names=FALSE)
library(ape)
#making cluster plot with bar plot
#tiff(filename = paste(address[arg_num],".compare.tiff",sep=""), width = 5, height = 5, units = "in", res = 300)
###########make png ###############
png(filename = paste(address_folder,"_compareall.png",sep=""), width = 6, height = 6+32*arg_num/72, units = "in", res = 300)
#pdf(file = paste(address[arg_num],".compare.pdf",sep=""),
# width = 6, height = 6,family = "mono",colormodel="cmyk")
par(oma = c(arg_num, 1, 0.5, 1))
#par(mfrow=c(2,1))
#par(oma = c(3, 1, 0.5, 1))
#par(mfrow=c(3,1))
layout(matrix(c(1,1,2,2,2,2,2,2,3,3,3,3,3,3), nrow = 7, ncol = 2, byrow = TRUE))
#making bar plot according to cluster
par(mar = c(0, 1, 2, 1))
barplot(db[hc$order,2],las=3,cex.names=1,col=db[hc$order,5],border=NA,log="y",ylim=c(10,1000))
abline(h=c(50,100,500,1000),col='wheat')
par(mar = c(0.5, 1.5, 0.5, 1.5))
#plot(hc,cex=0.6,main=NULL,cex.main=0.75,axes=T,hang = -1,family="mono",font=2)
#rect.hclust(hc,h=cut_height)#k=cut_num,border=7,which=c(1:cut_num,1))
ph <- as.phylo(hc)
plot(ph,tip.color=db[,5],direction = "downwards",cex=0.6, font=2,adj=0,
underscore=TRUE,label.offset=0.1,family="mono",las=3) #hang = -1)
axisPhylo(2, las = 1)
rect.hclust(hc,h=cut_height+SNP_num/30,border=7)#k=cut_num,border=7,which=c(1:cut_num,1))
#dev.new(width=5, height=4)
#making bar plot according to cluster
par(mar = c(0, 1, 0.2, 1))
barplot(db[hc$order,4],las=3,cex.names=1,col=db[hc$order,5],border=NA)
par(fig = c(0, 1, 0, 1), oma = c(0, 0, 0, 0), mar = c(0, 0, 0, 0), new = TRUE)
plot(0, 0, type = "n", bty = "n", xaxt = "n", yaxt = "n")
legend("bottom", basename(address), xpd = TRUE, horiz = FALSE,
inset = c(0,0), bty = "n", pch=15,col = min(db[,5]):max(db[,5]),
cex = 0.75)
dev.off()
png(filename = paste(address_folder,"_compareall_sum.png",sep=""), width = 6, height = 6+32*arg_num/72, units = "in", res = 300)
#pdf(file = paste(address[arg_num],".compare_sum.pdf",sep=""),
# width = 6, height = 6,family = "mono",colormodel="cmyk")
par(oma = c(arg_num, 1, 0.5, 1))
#par(mfrow=c(2,1))
#par(oma = c(3, 1, 0.5, 1))
#par(mfrow=c(3,1))
layout(matrix(c(1,1,2,2,2,2,2,2,3,3,3,3,3,3), nrow = 7, ncol = 2, byrow = TRUE))
#making bar plot according to cluster
par(mar = c(0, 1, 2, 1))
barplot(as.numeric(db_sum[hc_sum$order,2]),las=3,cex.names=1,col=db_sum[hc_sum$order,5],border=NA,log="y",ylim=c(10,1000))
abline(h=c(50,100,500,1000),col='wheat')
par(mar = c(0.5, 1.5, 0.5, 1.5))
#plot(hc,cex=0.6,main=NULL,cex.main=0.75,axes=T,hang = -1,family="mono",font=2)
#rect.hclust(hc,h=cut_height)#k=cut_num,border=7,which=c(1:cut_num,1))
ph_sum <- as.phylo(hc_sum)
plot(ph_sum,tip.color=db_sum[,5],direction = "downwards",cex=0.6, font=2,adj=0,
underscore=TRUE,label.offset=0.1,family="mono",las=3) #hang = -1)
axisPhylo(2, las = 1)
rect.hclust(hc_sum,h=cut_height+SNP_num/30,border=7)#h=2*cut_height,border=7)#k=cut_num,border=7,which=c(1:cut_num,1))
#dev.new(width=5, height=4)
#making bar plot according to cluster
par(mar = c(0, 1, 0.2, 1))
barplot(as.numeric(db_sum[hc_sum$order,4]),las=3,cex.names=1,col=db_sum[hc_sum$order,5],border=NA)
par(fig = c(0, 1, 0, 1), oma = c(0, 0, 0, 0), mar = c(0, 0, 0, 0), new = TRUE)
plot(0, 0, type = "n", bty = "n", xaxt = "n", yaxt = "n")
legend("bottom", basename(address), xpd = TRUE, horiz = FALSE,
inset = c(0,0), bty = "n", pch=15,col = min(db_sum[,5]):max(db_sum[,5]),
cex = 0.75)
dev.off()
#################################making cluster file one by one
arg_num_1=length(args)
ROC_table=matrix(NA,arg_num*(arg_num-1)/2,5)
table_row=0
#make a 2 way table
ROC_table2=matrix(NA,arg_num_1+2,arg_num_1+2)
ROC_table2[1,3:(arg_num_1+2)]=basename(args)
ROC_table2[2,3:(arg_num_1+2)]=1:arg_num_1
ROC_table2[3:(arg_num_1+2),1]=basename(args)
ROC_table2[3:(arg_num_1+2),2]=1:arg_num_1
for (quest_num in 1:(arg_num_1-1)) {
for (quest_num2 in (quest_num+1):arg_num_1) {
#cluster 1 by 1
db_1=db[is.element(db[,5],c(quest_num,quest_num2)),]
#gsub("[*]","",test_d) #remove * from string
#adist(test_d,costs=list(ins=0.5,del=0.5,sub=1))#different weight for del
db_1_1=gsub("[*]","",db_1[,1])
d_1<-adist(db_1_1,costs=list(ins=0.5,del=0.5,sub=1))
#d_1<-adist(db_1[,1])
rownames(d_1)=db_1[,1]
hc_1<-hclust(as.dist(d_1))
db_1[,6]=cutree(hc_1,h=cut_height+SNP_num/30)#k=5)
df1_1=rbind(matrix(NA,3,ncol(db_1)),db_1)
df1_1[1,5]="2"
df1_1[1,4]="2"
df1_1[1,1]=args[quest_num2]
df1_1[2,5]="1"
df1_1[2,4]="1"
df1_1[2,1]=args[quest_num]
dff_1<-data.frame(df1_1)
write.csv(dff_1,file=paste(address_folder,"/",quest_num,"_",quest_num2,".pair.csv",sep=""),row.names=FALSE)
table_row=table_row+1
#ROC_table[table_row,1:2]=basename(args[c(quest_num,quest_num2)])
ROC_table[table_row,1:2]=gsub("\\.fastq.*","",basename(args[c(quest_num,quest_num2)]))
#color label
db_temp=db_1
db_temp[!is.element(db_1[,5],c(quest_num,quest_num2)),6]="8"
db_temp[db_1[,5]==quest_num,6]="1"
db_temp[db_1[,5]==quest_num2,6]="2"
#db_temp[db_1[,5]==quest_num+2,6]="3"
# using dendrapply
#clusDendro = dendrapply(hcd, db_temp[,5])
#gnerate cluster types for each
db_temp1=sort(unique(db_1[db_temp[,6]==1 & db_temp[,4]>=5*threshold,6]))
db_temp2=sort(unique(db_1[db_temp[,6]==2 & db_temp[,4]>=5*threshold,6]))
db_tempc=if(identical(db_temp1,db_temp2)) {0} else {1}
ROC_table[table_row,3]=toString(db_temp1)
ROC_table[table_row,4]=toString(db_temp2)
ROC_table[table_row,5]=db_tempc
h=cut_height+SNP_num/30
colnames(ROC_table)=c("Sample_A","Sample_B",
paste(cluster_name,h,"A_Hap",sep="-"),
paste(cluster_name,h,"B_Hap",sep="-"),
paste(cluster_name,h,sep="-"))
ROC_table2[quest_num2+2,quest_num+2]=db_tempc
}
}
write.csv(ROC_table,file=paste(address_folder,"/",cluster_name,"_ROC_pair.csv",sep=""),row.names=FALSE)
write.csv(ROC_table2,file=paste(address_folder,"/",cluster_name,"_ROC_table.csv",sep=""),row.names=FALSE)
| /deprecated/cluster_compare_simple_pair2ng.R | no_license | xmzhuo/NIPT_genotyping | R | false | false | 11,418 | r | rm(list=ls())
#Xinming Zhuo, xzhuo@bcm.edu
#this script take samcluster.csv files for similarity comparison
#it take one ore more files to plot
# the plot and new csv file will saved to the the same location and name as last file
#only for pair wise comparison
#patch 1
#cluster_compare_simple_v1.R fix bugs when samcluster file has read types less than designated 10 types
#patch# 1a
#change overhang of letter and make them monospace, add read number at top at log scale
#patch 1b
#change cluster box color and adding similarity axis for similarity score
#patch 1b1
#change color of font according to the sample for visualization
#patch 1b2
#pool all reads in the same cluster of each sample
#make both pdf and png
#fix color for mother gDNA
#patch 1b2a
#elastic height for figures
#patch 1b2b
#fixed color for father and mother
#save overall summary to mother, save one by one file under fetus name
#patch 1b3a
#set threshold to display reads
#reduce weight for del in levestein distance adist
#set how many top read to compare default is 10
top_num=10 #number to reads to display
threshold=0.02 #filter for noise level 0-1
cut_height=2
# do not change scrpts below this line #
##############################################################################################
library(tcltk)
#vals <- varEntryDialog(vars=c('Variable1', 'Variable2'))
#tk_choose.files(default = "", caption = "Select files",multi = TRUE, filters = NULL, index = 1)
filter_set=matrix(c("CSV",".csv"),1,2,byrow=TRUE)
args_quest=tk_choose.files(default = "", caption = "Select Target cluster files to compare (REQUIRED, at lease one)",
multi = TRUE, filters = filter_set, index = 1)
setwd(dirname(args_quest[1]))
args=c(args_quest)
#write your target file name here
#windows
#args=c("C:/Users/xzhuo/Documents/bcm/Beaudet lab/NIPT/NGS/08302016 batch/IonXpress_006_R_2016_08_29_NIPT591P_gDNA.fastq.sam_chrYq11cluster.csv",
# "C:/Users/xzhuo/Documents/bcm/Beaudet lab/NIPT/NGS/08302016 batch/IonXpress_031_R_2016_08_29_NIPT590M_gDNA.fastq.sam_chrYq11cluster.csv",
# "C:/Users/xzhuo/Documents/bcm/Beaudet lab/NIPT/NGS/08302016 batch/IonXpress_095_R_2016_08_29_NIPT591M_gDNA.fastq.sam_chrYq11cluster.csv",
# "C:/Users/xzhuo/Documents/bcm/Beaudet lab/NIPT/NGS/08302016 batch/IonXpress_096_R_2016_08_29_NIPT601M_gDNA.fastq.sam_chrYq11cluster.csv")
#linux
#args=c("/home/xzhuo/Documents/08092016/IonXpress_096_R_2016_08_09_Jlup_0.5_HLA.fastq.sam_chr15q24cluster.csv"
# ,"/home/xzhuo/Documents/08092016/IonXpress_095_R_2016_08_09_Jlup_1_HLA.fastq.sam_chr15q24cluster.csv")
##############################################################################################
arg_num=length(args)
cut_num=2+arg_num
#cut_num=9
address<- args[1]
da=read.table(address[1],skip = 1,sep=",",fill=T)
da[,5]=1
min_num=min(top_num, nrow(da))
db=da[1:min_num,]
#combine reads in each cluster in each sample
da_sum=matrix(NA,max(da[,3]),5)
for (sum_num in 1:max(da[,3])){
da_sum1=da[da[,3]==sum_num,]
da_sum[sum_num,1]=as.character(da_sum1[da_sum1[,2]==max(da_sum1[,2]),1])[1]
da_sum[sum_num,2]=sum(da_sum1[,2])
da_sum[sum_num,4]=sum(da_sum1[,4])
da_sum[sum_num,3]=sum_num
da_sum[sum_num,5]=da[1,5]
}
db_sum=da_sum
for (i in 2:arg_num){
address[i]<-args[i]
da=read.table(address[i],skip = 1,sep=",",fill=T)
da[,5]=i
min_num=min(top_num, nrow(da))
db=rbind(db,da[1:min_num,])
da_sum=matrix(NA,max(da[,3]),5)
for (sum_num in 1:max(da[,3])){
da_sum1=da[da[,3]==sum_num,]
da_sum[sum_num,1]=as.character(da_sum1[da_sum1[,2]==max(da_sum1[,2]),1])[1]
da_sum[sum_num,2]=sum(da_sum1[,2])
da_sum[sum_num,4]=sum(da_sum1[,4])
da_sum[sum_num,3]=sum_num
da_sum[sum_num,5]=da[1,5]
}
db_sum=rbind(db_sum,da_sum)
}
#reset cut_height according to SNP number
SNP_num=nchar(as.character(db[1,1]))
if (SNP_num<20) {cut_height=cut_height^(SNP_num/20)}#1+cut_height^(SNP_num/20)/2}
cluster_name=gsub("\\_cluster.*","",gsub(".*.sam_","",basename(args[1])))
##################make cluster
db=db[db[,4]>=threshold,]
db_a_1=gsub("[*]","",db[,1])
d<-adist(db_a_1,costs=list(ins=0.5,del=0.5,sub=1))
#d<-adist(db[,1])
rownames(d)=db[,1]
hc<-hclust(as.dist(d))
#gsub("[*]","",test_d) #remove * from string
#adist(test_d,costs=list(ins=0.5,del=0.5,sub=1))#different weight for del
db[,6]=cutree(hc,h=cut_height+SNP_num/30)#k=cut_num)
df1=rbind(matrix(NA,arg_num,ncol(db)),db)
df1[1:arg_num,5]=1:arg_num
df1[1:arg_num,1]=address
dff<-data.frame(df1)
#creat new folder
address_folder=paste(dirname(args[1]),"/pair",sep="")
dir.create(address_folder,showWarnings =F)
write.csv(dff,file=paste(address_folder,"_compareall.csv",sep=""),row.names=FALSE)
db_sum=db[db_sum[,4]>=threshold,]
db_sum=db_sum[complete.cases(db_sum),]
db_sum_a_1=gsub("[*]","",db_sum[,1])
d_sum<-adist(db_sum_a_1,costs=list(ins=0.5,del=0.5,sub=1))
#d_sum<-adist(db_sum[,1])
rownames(d_sum)=db_sum[,1]
hc_sum<-hclust(as.dist(d_sum))
db_sum[,6]=cutree(hc_sum,h=cut_height+SNP_num/30)#k=cut_num)
df1_sum=rbind(matrix(NA,arg_num,ncol(db_sum)),db_sum)
df1_sum[1:arg_num,5]=1:arg_num
df1_sum[1:arg_num,1]=address
dff_sum<-data.frame(df1_sum)
write.csv(dff_sum,file=paste(address_folder,"_compareall_sum.csv",sep=""),row.names=FALSE)
library(ape)
#making cluster plot with bar plot
#tiff(filename = paste(address[arg_num],".compare.tiff",sep=""), width = 5, height = 5, units = "in", res = 300)
###########make png ###############
png(filename = paste(address_folder,"_compareall.png",sep=""), width = 6, height = 6+32*arg_num/72, units = "in", res = 300)
#pdf(file = paste(address[arg_num],".compare.pdf",sep=""),
# width = 6, height = 6,family = "mono",colormodel="cmyk")
par(oma = c(arg_num, 1, 0.5, 1))
#par(mfrow=c(2,1))
#par(oma = c(3, 1, 0.5, 1))
#par(mfrow=c(3,1))
layout(matrix(c(1,1,2,2,2,2,2,2,3,3,3,3,3,3), nrow = 7, ncol = 2, byrow = TRUE))
#making bar plot according to cluster
par(mar = c(0, 1, 2, 1))
barplot(db[hc$order,2],las=3,cex.names=1,col=db[hc$order,5],border=NA,log="y",ylim=c(10,1000))
abline(h=c(50,100,500,1000),col='wheat')
par(mar = c(0.5, 1.5, 0.5, 1.5))
#plot(hc,cex=0.6,main=NULL,cex.main=0.75,axes=T,hang = -1,family="mono",font=2)
#rect.hclust(hc,h=cut_height)#k=cut_num,border=7,which=c(1:cut_num,1))
ph <- as.phylo(hc)
plot(ph,tip.color=db[,5],direction = "downwards",cex=0.6, font=2,adj=0,
underscore=TRUE,label.offset=0.1,family="mono",las=3) #hang = -1)
axisPhylo(2, las = 1)
rect.hclust(hc,h=cut_height+SNP_num/30,border=7)#k=cut_num,border=7,which=c(1:cut_num,1))
#dev.new(width=5, height=4)
#making bar plot according to cluster
par(mar = c(0, 1, 0.2, 1))
barplot(db[hc$order,4],las=3,cex.names=1,col=db[hc$order,5],border=NA)
par(fig = c(0, 1, 0, 1), oma = c(0, 0, 0, 0), mar = c(0, 0, 0, 0), new = TRUE)
plot(0, 0, type = "n", bty = "n", xaxt = "n", yaxt = "n")
legend("bottom", basename(address), xpd = TRUE, horiz = FALSE,
inset = c(0,0), bty = "n", pch=15,col = min(db[,5]):max(db[,5]),
cex = 0.75)
dev.off()
png(filename = paste(address_folder,"_compareall_sum.png",sep=""), width = 6, height = 6+32*arg_num/72, units = "in", res = 300)
#pdf(file = paste(address[arg_num],".compare_sum.pdf",sep=""),
# width = 6, height = 6,family = "mono",colormodel="cmyk")
par(oma = c(arg_num, 1, 0.5, 1))
#par(mfrow=c(2,1))
#par(oma = c(3, 1, 0.5, 1))
#par(mfrow=c(3,1))
layout(matrix(c(1,1,2,2,2,2,2,2,3,3,3,3,3,3), nrow = 7, ncol = 2, byrow = TRUE))
#making bar plot according to cluster
par(mar = c(0, 1, 2, 1))
barplot(as.numeric(db_sum[hc_sum$order,2]),las=3,cex.names=1,col=db_sum[hc_sum$order,5],border=NA,log="y",ylim=c(10,1000))
abline(h=c(50,100,500,1000),col='wheat')
par(mar = c(0.5, 1.5, 0.5, 1.5))
#plot(hc,cex=0.6,main=NULL,cex.main=0.75,axes=T,hang = -1,family="mono",font=2)
#rect.hclust(hc,h=cut_height)#k=cut_num,border=7,which=c(1:cut_num,1))
ph_sum <- as.phylo(hc_sum)
plot(ph_sum,tip.color=db_sum[,5],direction = "downwards",cex=0.6, font=2,adj=0,
underscore=TRUE,label.offset=0.1,family="mono",las=3) #hang = -1)
axisPhylo(2, las = 1)
rect.hclust(hc_sum,h=cut_height+SNP_num/30,border=7)#h=2*cut_height,border=7)#k=cut_num,border=7,which=c(1:cut_num,1))
#dev.new(width=5, height=4)
#making bar plot according to cluster
par(mar = c(0, 1, 0.2, 1))
barplot(as.numeric(db_sum[hc_sum$order,4]),las=3,cex.names=1,col=db_sum[hc_sum$order,5],border=NA)
par(fig = c(0, 1, 0, 1), oma = c(0, 0, 0, 0), mar = c(0, 0, 0, 0), new = TRUE)
plot(0, 0, type = "n", bty = "n", xaxt = "n", yaxt = "n")
legend("bottom", basename(address), xpd = TRUE, horiz = FALSE,
inset = c(0,0), bty = "n", pch=15,col = min(db_sum[,5]):max(db_sum[,5]),
cex = 0.75)
dev.off()
#################################making cluster file one by one
arg_num_1=length(args)
ROC_table=matrix(NA,arg_num*(arg_num-1)/2,5)
table_row=0
#make a 2 way table
ROC_table2=matrix(NA,arg_num_1+2,arg_num_1+2)
ROC_table2[1,3:(arg_num_1+2)]=basename(args)
ROC_table2[2,3:(arg_num_1+2)]=1:arg_num_1
ROC_table2[3:(arg_num_1+2),1]=basename(args)
ROC_table2[3:(arg_num_1+2),2]=1:arg_num_1
for (quest_num in 1:(arg_num_1-1)) {
for (quest_num2 in (quest_num+1):arg_num_1) {
#cluster 1 by 1
db_1=db[is.element(db[,5],c(quest_num,quest_num2)),]
#gsub("[*]","",test_d) #remove * from string
#adist(test_d,costs=list(ins=0.5,del=0.5,sub=1))#different weight for del
db_1_1=gsub("[*]","",db_1[,1])
d_1<-adist(db_1_1,costs=list(ins=0.5,del=0.5,sub=1))
#d_1<-adist(db_1[,1])
rownames(d_1)=db_1[,1]
hc_1<-hclust(as.dist(d_1))
db_1[,6]=cutree(hc_1,h=cut_height+SNP_num/30)#k=5)
df1_1=rbind(matrix(NA,3,ncol(db_1)),db_1)
df1_1[1,5]="2"
df1_1[1,4]="2"
df1_1[1,1]=args[quest_num2]
df1_1[2,5]="1"
df1_1[2,4]="1"
df1_1[2,1]=args[quest_num]
dff_1<-data.frame(df1_1)
write.csv(dff_1,file=paste(address_folder,"/",quest_num,"_",quest_num2,".pair.csv",sep=""),row.names=FALSE)
table_row=table_row+1
#ROC_table[table_row,1:2]=basename(args[c(quest_num,quest_num2)])
ROC_table[table_row,1:2]=gsub("\\.fastq.*","",basename(args[c(quest_num,quest_num2)]))
#color label
db_temp=db_1
db_temp[!is.element(db_1[,5],c(quest_num,quest_num2)),6]="8"
db_temp[db_1[,5]==quest_num,6]="1"
db_temp[db_1[,5]==quest_num2,6]="2"
#db_temp[db_1[,5]==quest_num+2,6]="3"
# using dendrapply
#clusDendro = dendrapply(hcd, db_temp[,5])
#gnerate cluster types for each
db_temp1=sort(unique(db_1[db_temp[,6]==1 & db_temp[,4]>=5*threshold,6]))
db_temp2=sort(unique(db_1[db_temp[,6]==2 & db_temp[,4]>=5*threshold,6]))
db_tempc=if(identical(db_temp1,db_temp2)) {0} else {1}
ROC_table[table_row,3]=toString(db_temp1)
ROC_table[table_row,4]=toString(db_temp2)
ROC_table[table_row,5]=db_tempc
h=cut_height+SNP_num/30
colnames(ROC_table)=c("Sample_A","Sample_B",
paste(cluster_name,h,"A_Hap",sep="-"),
paste(cluster_name,h,"B_Hap",sep="-"),
paste(cluster_name,h,sep="-"))
ROC_table2[quest_num2+2,quest_num+2]=db_tempc
}
}
write.csv(ROC_table,file=paste(address_folder,"/",cluster_name,"_ROC_pair.csv",sep=""),row.names=FALSE)
write.csv(ROC_table2,file=paste(address_folder,"/",cluster_name,"_ROC_table.csv",sep=""),row.names=FALSE)
|
library(data.table)
#import data into variable
pwrdata <- data.table::fread(input="household_power_consumption.txt",na.strings = "?")
# Subset the full data to obtain data on two mentioned dates:
pwrdata <- subset(pwrdata,(pwrdata$Date=="1/2/2007" | pwrdata$Date== "2/2/2007"))
#Chage class of date column to Date format
pwrdata$Date <-as.Date(pwrdata$Date,format="%d/%m/%Y")
pwrdata$Global_active_power <-as.numeric(pwrdata$Global_active_power)
#Convert Date to DateTime format
pwrdata$DateTime <- as.POSIXct(paste(pwrdata$Date, pwrdata$Time))
#Check current active device
dev.cur()
#Set device as PNG file
png("plot2.png", width = 480, height = 480)
#Plot chart with type as line
with(pwrdata,plot(DateTime,Global_active_power,type="l",ylab="Global Active Power (kilowatts)", xlab = ""))
#Close device
dev.off()
| /Plot2.R | no_license | mandaliadhaval/ExData_Plotting1 | R | false | false | 822 | r | library(data.table)
#import data into variable
pwrdata <- data.table::fread(input="household_power_consumption.txt",na.strings = "?")
# Subset the full data to obtain data on two mentioned dates:
pwrdata <- subset(pwrdata,(pwrdata$Date=="1/2/2007" | pwrdata$Date== "2/2/2007"))
#Chage class of date column to Date format
pwrdata$Date <-as.Date(pwrdata$Date,format="%d/%m/%Y")
pwrdata$Global_active_power <-as.numeric(pwrdata$Global_active_power)
#Convert Date to DateTime format
pwrdata$DateTime <- as.POSIXct(paste(pwrdata$Date, pwrdata$Time))
#Check current active device
dev.cur()
#Set device as PNG file
png("plot2.png", width = 480, height = 480)
#Plot chart with type as line
with(pwrdata,plot(DateTime,Global_active_power,type="l",ylab="Global Active Power (kilowatts)", xlab = ""))
#Close device
dev.off()
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/findTargets.R
\name{list_on_target_amplifiable}
\alias{list_on_target_amplifiable}
\title{List on-target amplifiable species}
\usage{
list_on_target_amplifiable(bsPrimerTree, target_taxa, target_level)
}
\arguments{
\item{bsPrimerTree}{a bsPrimerTree object returned by
\code{\link{eval_assay}}}
\item{target_taxa}{character, taxonomic group targeted by the assay - needs
to be one of "skpcofgs"}
\item{target_level}{character, taxonomic level of the targeted taxa}
}
\value{
a table of taxonomic data
}
\description{
List on-target amplifiable species
}
| /man/list_on_target_amplifiable.Rd | permissive | MVesuviusC/Primer-Evaluation-Pipeline | R | false | true | 635 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/findTargets.R
\name{list_on_target_amplifiable}
\alias{list_on_target_amplifiable}
\title{List on-target amplifiable species}
\usage{
list_on_target_amplifiable(bsPrimerTree, target_taxa, target_level)
}
\arguments{
\item{bsPrimerTree}{a bsPrimerTree object returned by
\code{\link{eval_assay}}}
\item{target_taxa}{character, taxonomic group targeted by the assay - needs
to be one of "skpcofgs"}
\item{target_level}{character, taxonomic level of the targeted taxa}
}
\value{
a table of taxonomic data
}
\description{
List on-target amplifiable species
}
|
#LIST - list() function
#List can contain elements of different types like - number, string, vectors, another list inside it, matrix.
list_data <- list("Red", "Green", c(21,32,11), TRUE, 51.23, 119.1)
vector1 <- 1:4
newList <- list(vector1, list_data, 'cdsdd', 232, 33.53, TRUE)
#NAMING LIST ELEMENTS - The list elements can be given names and they can be accessed using these names.
a <- list(c("jan", "feb", "mar", "apr", "may", "jun", "jul", "aug", "sep", "oct", "nov", "dec"))
b <- list(1:31)
c <- list(c("mon", "tue", "wed", "thu", "fri", "sat", "sun"))
calender <- list(a, b, c)
# Give names to the elements in the list.
names(calender) <- c("month_list", "date_list", "day_list")
#ACCESSING THE LIST ELEMENTS :
print(calender[1]) #by index
print(calender$day_list) #by name
#MANIPULATING LIST ELEMENTS :
list_data <- list("Red", "Green", c(21,32,11), TRUE, 51.23, 119.1)
#Adding element in list
list_data[7] <- 1221
#Remove the last element
list_data[7] <- NULL
#updating 3rd element
list_data[3] <- list(c(1:5))
#MERGING LISTS
# Create two lists.
list1 <- list(1,2,3)
list2 <- list("Sun","Mon","Tue")
# Merge the two lists.
merged_list <- c(list1,list2)
# Print the merged list.
print(merged_list)
#CONVERTING LISTS INTO VECTORS - unlist() function
#All the arithmetic operations on vectors can be applied after the list is converted into vectors.
list1 <- list(1:5)
print(list1)
list2 <-list(10:14)
print(list2)
# Convert the lists to vectors.
v1 <- unlist(list1)
v2 <- unlist(list2)
print(v1)
print(v2)
# Now add the vectors
result <- v1+v2
print(result)
| /R/list.R | no_license | dipeshjoshi/MachineLearning | R | false | false | 1,604 | r | #LIST - list() function
#List can contain elements of different types like - number, string, vectors, another list inside it, matrix.
list_data <- list("Red", "Green", c(21,32,11), TRUE, 51.23, 119.1)
vector1 <- 1:4
newList <- list(vector1, list_data, 'cdsdd', 232, 33.53, TRUE)
#NAMING LIST ELEMENTS - The list elements can be given names and they can be accessed using these names.
a <- list(c("jan", "feb", "mar", "apr", "may", "jun", "jul", "aug", "sep", "oct", "nov", "dec"))
b <- list(1:31)
c <- list(c("mon", "tue", "wed", "thu", "fri", "sat", "sun"))
calender <- list(a, b, c)
# Give names to the elements in the list.
names(calender) <- c("month_list", "date_list", "day_list")
#ACCESSING THE LIST ELEMENTS :
print(calender[1]) #by index
print(calender$day_list) #by name
#MANIPULATING LIST ELEMENTS :
list_data <- list("Red", "Green", c(21,32,11), TRUE, 51.23, 119.1)
#Adding element in list
list_data[7] <- 1221
#Remove the last element
list_data[7] <- NULL
#updating 3rd element
list_data[3] <- list(c(1:5))
#MERGING LISTS
# Create two lists.
list1 <- list(1,2,3)
list2 <- list("Sun","Mon","Tue")
# Merge the two lists.
merged_list <- c(list1,list2)
# Print the merged list.
print(merged_list)
#CONVERTING LISTS INTO VECTORS - unlist() function
#All the arithmetic operations on vectors can be applied after the list is converted into vectors.
list1 <- list(1:5)
print(list1)
list2 <-list(10:14)
print(list2)
# Convert the lists to vectors.
v1 <- unlist(list1)
v2 <- unlist(list2)
print(v1)
print(v2)
# Now add the vectors
result <- v1+v2
print(result)
|
#### RUN ZIP MODEL with host genus random effect on use (for BC): Model 19
## Set up output files
arguments <- commandArgs(T)
outdir <- arguments[1]
iter <- as.numeric(arguments[2])
## load packages
#library(reshape2) #attach the reshape package for function "melt()"
library(R2jags)
library(rjags)
load("~/bipartitemodelsBC/data/finaldata.RData")
collec.lng$ID <- NULL
covars.host <- read.csv('~/bipartitemodelsBC/data/hostlevel.csv', head=T)
covars.host <- covars.host[with(covars.host,order(as.character(Host.Species))),]
load("~/bipartitemodelsBC/data/indlevel.RData")
juvenile <- as.numeric(covars$Age.class=="Juvenile")
missing <- which(is.na(juvenile)) # 35% missing
str(collec.lng)
long <- as.list(collec.lng)
long$count <- as.integer(long$count)
long$Nobs <- length(long$count)
long$Nhost.sp <- length(unique(long$host.sp))
long$Npar <- length(unique(long$par.sp))
long$par.sp <- as.factor(as.character(long$par.sp))
long$hostgen <- as.factor(as.character(covars.host$Genus))
long$ngen <- length(levels(long$hostgen))
long$juvenile <- juvenile
long$missing.ind <- missing
long$ind <- rep(1:(length(long$host.sp)/(long$Npar)),long$Npar)
long$prop <- sum(long$juvenile,na.rm=T)/length(long$juvenile)
save(long,file=paste(outdir,"/holong.RData",sep=""))
## Define model
modelfile <- "~/bipartitemodelsBC/finalmodels/jagsNB/ho.txt"
## Define initial values
inits <- function() {
list(
mn=c(0.5,-5),
sd=c(3,1.5),
alpha=matrix(rnorm(long$Npar*long$ngen,mean=-5),ncol=long$Npar,byrow=T),
beta=rnorm(long$Npar),
beta_j=rnorm(1),
use=matrix(rep(1,long$Npar*long$Nhost.sp),ncol=long$Npar,byrow=T)
)
}
## Run model
output <- jags(long, inits = inits, c('mn', 'sd', 'use', 'HB_invert', 'PD_host', 'beta', 'alpha','beta_j'), modelfile, n.chains=3, n.iter=iter) # or use defaults
save(output, file = paste(outdir,"/ho_output.RData",sep=""))
# calculate convergence
library(jagstools)
library(dplyr)
notconv <- rhats(output) %>% subset(. >= 1.1) %>% length()
params <- length(rhats(output))
options(max.print=100000)
sink(file=paste(outdir,"/ho_printoutput.txt",sep=""))
paste("not converged =", notconv, sep=" ")
paste("total params =", params, sep=" ")
print("which not converged: ")
rhats(output) %>% subset(. >= 1.1)
print(output)
sink()
| /finalmodels/ZINBphase123/ho.R | no_license | jogwalker/bipartitemodelsBC | R | false | false | 2,376 | r | #### RUN ZIP MODEL with host genus random effect on use (for BC): Model 19
## Set up output files
arguments <- commandArgs(T)
outdir <- arguments[1]
iter <- as.numeric(arguments[2])
## load packages
#library(reshape2) #attach the reshape package for function "melt()"
library(R2jags)
library(rjags)
load("~/bipartitemodelsBC/data/finaldata.RData")
collec.lng$ID <- NULL
covars.host <- read.csv('~/bipartitemodelsBC/data/hostlevel.csv', head=T)
covars.host <- covars.host[with(covars.host,order(as.character(Host.Species))),]
load("~/bipartitemodelsBC/data/indlevel.RData")
juvenile <- as.numeric(covars$Age.class=="Juvenile")
missing <- which(is.na(juvenile)) # 35% missing
str(collec.lng)
long <- as.list(collec.lng)
long$count <- as.integer(long$count)
long$Nobs <- length(long$count)
long$Nhost.sp <- length(unique(long$host.sp))
long$Npar <- length(unique(long$par.sp))
long$par.sp <- as.factor(as.character(long$par.sp))
long$hostgen <- as.factor(as.character(covars.host$Genus))
long$ngen <- length(levels(long$hostgen))
long$juvenile <- juvenile
long$missing.ind <- missing
long$ind <- rep(1:(length(long$host.sp)/(long$Npar)),long$Npar)
long$prop <- sum(long$juvenile,na.rm=T)/length(long$juvenile)
save(long,file=paste(outdir,"/holong.RData",sep=""))
## Define model
modelfile <- "~/bipartitemodelsBC/finalmodels/jagsNB/ho.txt"
## Define initial values
inits <- function() {
list(
mn=c(0.5,-5),
sd=c(3,1.5),
alpha=matrix(rnorm(long$Npar*long$ngen,mean=-5),ncol=long$Npar,byrow=T),
beta=rnorm(long$Npar),
beta_j=rnorm(1),
use=matrix(rep(1,long$Npar*long$Nhost.sp),ncol=long$Npar,byrow=T)
)
}
## Run model
output <- jags(long, inits = inits, c('mn', 'sd', 'use', 'HB_invert', 'PD_host', 'beta', 'alpha','beta_j'), modelfile, n.chains=3, n.iter=iter) # or use defaults
save(output, file = paste(outdir,"/ho_output.RData",sep=""))
# calculate convergence
library(jagstools)
library(dplyr)
notconv <- rhats(output) %>% subset(. >= 1.1) %>% length()
params <- length(rhats(output))
options(max.print=100000)
sink(file=paste(outdir,"/ho_printoutput.txt",sep=""))
paste("not converged =", notconv, sep=" ")
paste("total params =", params, sep=" ")
print("which not converged: ")
rhats(output) %>% subset(. >= 1.1)
print(output)
sink()
|
## read in and prepare data
library(data.table)
d <- fread("household_power_consumption.txt")
d$Date <- as.Date(d$Date, "%d/%m/%Y")
d <- d[d$Date >= as.Date("2007-02-01") & d$Date<=as.Date("2007-02-02"), ]
numcols <- c(3:dim(d)[2])
d[, (numcols) := lapply(.SD, as.numeric), .SDcols = numcols]
## plot3
png(filename="plot3.png", width=480, height=480)
plot(d$Sub_metering_1, type="l", xlab="", xaxt="n", ylab="Energy sub metering")
lines(d$Sub_metering_2, col="red")
lines(d$Sub_metering_3, col="blue")
axis(1, at=c(1,1440,2880), labels=c("Thu", "Fri", "Sat"))
variables <- c("Sub_metering_1", "Sub_metering_2", "Sub_metering_3")
legend("topright", lty=1, col=c("black", "red", "blue"), legend=variables)
dev.off()
| /plot3.R | no_license | lefant/ExData_Plotting1 | R | false | false | 715 | r | ## read in and prepare data
library(data.table)
d <- fread("household_power_consumption.txt")
d$Date <- as.Date(d$Date, "%d/%m/%Y")
d <- d[d$Date >= as.Date("2007-02-01") & d$Date<=as.Date("2007-02-02"), ]
numcols <- c(3:dim(d)[2])
d[, (numcols) := lapply(.SD, as.numeric), .SDcols = numcols]
## plot3
png(filename="plot3.png", width=480, height=480)
plot(d$Sub_metering_1, type="l", xlab="", xaxt="n", ylab="Energy sub metering")
lines(d$Sub_metering_2, col="red")
lines(d$Sub_metering_3, col="blue")
axis(1, at=c(1,1440,2880), labels=c("Thu", "Fri", "Sat"))
variables <- c("Sub_metering_1", "Sub_metering_2", "Sub_metering_3")
legend("topright", lty=1, col=c("black", "red", "blue"), legend=variables)
dev.off()
|
EQ5D5L_crosswalk_indexvalues.df <- read.csv("data-raw/EQ5D5L_crosswalk_indexvalues.csv", header = TRUE, stringsAsFactor = FALSE)
usethis::use_data(EQ5D5L_crosswalk_indexvalues.df, overwrite = TRUE)
| /data-raw/EQ5D5L_crosswalk_indexvalues_df.R | no_license | sheejamk/valueEQ5D | R | false | false | 198 | r | EQ5D5L_crosswalk_indexvalues.df <- read.csv("data-raw/EQ5D5L_crosswalk_indexvalues.csv", header = TRUE, stringsAsFactor = FALSE)
usethis::use_data(EQ5D5L_crosswalk_indexvalues.df, overwrite = TRUE)
|
# segmentation test
# una singo, SNGUNA003
# 29 January 2020
# import R functions ------------
source("R/plotter.R")
source("R/simulate.R")
source("R/segmentation.R")
source("R/simulate.R")
source("R/ICC_EM.R")
# libraries ---------------------
library('tidyverse')
library(readxl)
library(MASS)
library(fossil)
set.seed(1)
# ----------------------------------------------------------
# test 1
# two state two stock market with zero noise (step function)
# ----------------------------------------------------------
par(mfrow = c(1,1))
simulated = simulate.step_states(130, c(1,2,1), c(0.3,0.5,0.2))
plotter.states(simulated, title = 'simulated states', thickness = 4)
returns = rbind(simulated*0.2, simulated*0.3)
plotter.series(colMeans(returns),simulated,title = 'two stock - two market state')
# find states
# ICC setup
gamma = 0
sparseMethod = 1
distanceFunction = 1
K =2
ICC.Output = ICC.cluster(returnsMatrix = returns, sparseMethod = sparseMethod, gamma = gamma, K = K, max.iters = 100)
seg.results = ICC.Output$OptimalPath
plot(y=seg.results$history$metric, x =1:length(seg.results$history$metric), main = 'history', type ='l', xlab = 'iterations', ylab = 'dist')
# find the minimum
minIndex = which(seg.results$history$metric ==min(seg.results$history$metric))
minIndex
par(mfrow = c(1,2))
plotter.series(colMeans(returns),simulated,title = 'Ground truth market states')
plotter.series(colMeans(returns),seg.results$history$`iter: 2 states`, title = 'Optimal market states')
ARI = adj.rand.index(simulated,seg.results$history[[paste("iter:", minIndex[1],"states")]])
ARI = round(ARI,2)
text(x=60,y=0.45, labels=paste('rand index:', ARI ), cex = 1)
# ----------------------------------------------------------
# test 2 markov switching states - two state markov model
# ----------------------------------------------------------
par(mfrow = c(1,1))
# setup transiton matrix for markov states.
Transitions = matrix(c(0.70,0.30,0.10,0.90), nrow = 2, ncol = 2 ,byrow = T )
plotter.transitions(Transitions, 10, 'probability transition matrix')
simulated = simulate.markov_states(Transition_Matrix = Transitions,Time = 130, startingState = 1)
plotter.states(simulated, title = 'simulated states', thickness = 4)
par(mfrow = c(1,1))
returns = rbind(simulated*0.2, simulated*0.3)
plotter.series(colMeans(returns),simulated,title = 'two stock - two markov market state')
# find states
par(mfrow = c(1,1))
seg.results = segmentation.procedure(returns = returns, Time = 130, gamma=0.0001, iters =50, K = 2 )
plot(y=seg.results$history$metric, x =1:length(seg.results$history$metric), main = 'history', type ='l', xlab = 'iterations', ylab = 'dist')
minIndex = which(seg.results$history$metric ==min(seg.results$history$metric))
par(mfrow = c(1,2))
plotter.series(colMeans(returns),simulated,title = 'Ground truth market states')
plotter.series(colMeans(returns),seg.results$history[[paste("iter:", minIndex[1],"states")]]
, title = 'Optimal market states')
ARI = adj.rand.index(simulated,seg.results$history[[paste("iter:", minIndex[1],"states")]])
ARI = round(ARI,2)
text(x=60,y=0.45, labels=paste('rand index:', ARI ), cex = 1)
# ----------------------------------------------------------
# test 3 markov switching states - three state markov model
# ----------------------------------------------------------
Transitions = matrix(c(0.90,0.05,0.05, 0.05,0.85,0.1, 0.2,0.1,0.7), nrow = 3, ncol = 3 ,byrow = T )
Transitions
plotter.transitions(Transitions, 9, 'probability transition matrix')
simulated = simulate.markov_states(Transition_Matrix = Transitions,Time = 130, startingState = 1)
plotter.states(simulated, title = 'simulated states', thickness = 4)
par(mfrow= c(1,1))
returns = rbind(simulated*0.2, simulated*0.3)
plotter.series(colMeans(returns),simulated,title = 'two stock - three state market')
# find states
par(mfrow = c(1,1))
seg.results = segmentation.procedure(returns = returns, Time = 130, gamma=0.001, iters =50, K = 3 )
plot(y=seg.results$history$metric, x =1:length(seg.results$history$metric), main = 'history', type ='l', xlab = 'iterations', ylab = 'dist')
minIndex = which(seg.results$history$metric ==min(seg.results$history$metric))
par(mfrow = c(1,2))
plotter.series(colMeans(returns),simulated,title = 'Ground truth market states')
plotter.series(colMeans(returns),seg.results$history[[paste("iter:", minIndex[1],"states")]]
, title = 'Optimal market states')
ARI = adj.rand.index(simulated,seg.results$history[[paste("iter:", minIndex[1],"states")]])
ARI = round(ARI,2)
ARI
text(x=70,y=0.6, labels=paste('ARI:', ARI ), cex = 0.75)
# ----------------------------------------------------------
# test 4 gaussian hidden markov model - two state markov model.
# ----------------------------------------------------------
Transitions = matrix(c(0.70,0.30,0.10,0.90), nrow = 2, ncol = 2 ,byrow = T )
plotter.transitions(Transitions, 10, 'probability transition matrix')
simulated = simulate.markov_states(Transition_Matrix = Transitions,Time = 100, startingState = 1)
plotter.states(simulated, title = 'simulated states', thickness = 4)
mu = list()
mu[[1]] = c(0.1, 0.02)
mu[[2]] = c(-0.2, -0.02)
sigma = list()
sigma[[1]] = matrix(c(0.01, 0, 0, 0.02), nrow =2)
sigma[[2]] = matrix(c(0.01, 0, 0, 0.02), nrow = 2)
returns = simulate.prices(simulated, mu = mu, sigma = sigma, dim =2 )
plotter.series(colMeans(returns),simulated, S0 =100, 'Stock Returns')
plotter.series(colMeans(returns),simulated, S0=NA, 'Stock Returns')
# find states
source('R/NohAnzatsStateSimulation.R')
x = NohAnzats.simulate(stateSequence = simulated)
par(mfrow = c(1,1))
# ICC setup
gamma = 0
sparseMethod = 1
distanceFunction = 1
K =2
ICC.Output = ICC.cluster(returnsMatrix = returns, sparseMethod = sparseMethod, gamma = gamma, K = K, max.iters = 100)
seg.results = ICC.Output$OptimalPath
seg.results = segmentation.procedure(returns =returns, Time = 100, gamma=0.001, iters = 100, K = 2 , sparse = 1)
plot(y=seg.results$history$metric, x =1:length(seg.results$history$metric), main = 'history', type ='l', xlab = 'iterations', ylab = 'dist')
minIndex = which(seg.results$history$metric ==min(seg.results$history$metric))
par(mfrow = c(1,2))
plotter.series(colMeans(returns),simulated,title = 'Ground truth market states', S0 = 100)
plotter.series(colMeans(returns),seg.results$history[[paste("iter:", minIndex[1],"states")]]
, title = 'Optimal market states', S0 = 100)
ARI = adj.rand.index(simulated,seg.results$history[[paste("iter:", minIndex[1],"states")]])
ARI = round(ARI,2)
text(x=60,y=0, labels=paste('rand index:', ARI ), cex = 1)
| /tests/03_ICC_EM_test.R | no_license | Una95Singo/MarketStates | R | false | false | 6,649 | r | # segmentation test
# una singo, SNGUNA003
# 29 January 2020
# import R functions ------------
source("R/plotter.R")
source("R/simulate.R")
source("R/segmentation.R")
source("R/simulate.R")
source("R/ICC_EM.R")
# libraries ---------------------
library('tidyverse')
library(readxl)
library(MASS)
library(fossil)
set.seed(1)
# ----------------------------------------------------------
# test 1
# two state two stock market with zero noise (step function)
# ----------------------------------------------------------
par(mfrow = c(1,1))
simulated = simulate.step_states(130, c(1,2,1), c(0.3,0.5,0.2))
plotter.states(simulated, title = 'simulated states', thickness = 4)
returns = rbind(simulated*0.2, simulated*0.3)
plotter.series(colMeans(returns),simulated,title = 'two stock - two market state')
# find states
# ICC setup
gamma = 0
sparseMethod = 1
distanceFunction = 1
K =2
ICC.Output = ICC.cluster(returnsMatrix = returns, sparseMethod = sparseMethod, gamma = gamma, K = K, max.iters = 100)
seg.results = ICC.Output$OptimalPath
plot(y=seg.results$history$metric, x =1:length(seg.results$history$metric), main = 'history', type ='l', xlab = 'iterations', ylab = 'dist')
# find the minimum
minIndex = which(seg.results$history$metric ==min(seg.results$history$metric))
minIndex
par(mfrow = c(1,2))
plotter.series(colMeans(returns),simulated,title = 'Ground truth market states')
plotter.series(colMeans(returns),seg.results$history$`iter: 2 states`, title = 'Optimal market states')
ARI = adj.rand.index(simulated,seg.results$history[[paste("iter:", minIndex[1],"states")]])
ARI = round(ARI,2)
text(x=60,y=0.45, labels=paste('rand index:', ARI ), cex = 1)
# ----------------------------------------------------------
# test 2 markov switching states - two state markov model
# ----------------------------------------------------------
par(mfrow = c(1,1))
# setup transiton matrix for markov states.
Transitions = matrix(c(0.70,0.30,0.10,0.90), nrow = 2, ncol = 2 ,byrow = T )
plotter.transitions(Transitions, 10, 'probability transition matrix')
simulated = simulate.markov_states(Transition_Matrix = Transitions,Time = 130, startingState = 1)
plotter.states(simulated, title = 'simulated states', thickness = 4)
par(mfrow = c(1,1))
returns = rbind(simulated*0.2, simulated*0.3)
plotter.series(colMeans(returns),simulated,title = 'two stock - two markov market state')
# find states
par(mfrow = c(1,1))
seg.results = segmentation.procedure(returns = returns, Time = 130, gamma=0.0001, iters =50, K = 2 )
plot(y=seg.results$history$metric, x =1:length(seg.results$history$metric), main = 'history', type ='l', xlab = 'iterations', ylab = 'dist')
minIndex = which(seg.results$history$metric ==min(seg.results$history$metric))
par(mfrow = c(1,2))
plotter.series(colMeans(returns),simulated,title = 'Ground truth market states')
plotter.series(colMeans(returns),seg.results$history[[paste("iter:", minIndex[1],"states")]]
, title = 'Optimal market states')
ARI = adj.rand.index(simulated,seg.results$history[[paste("iter:", minIndex[1],"states")]])
ARI = round(ARI,2)
text(x=60,y=0.45, labels=paste('rand index:', ARI ), cex = 1)
# ----------------------------------------------------------
# test 3 markov switching states - three state markov model
# ----------------------------------------------------------
Transitions = matrix(c(0.90,0.05,0.05, 0.05,0.85,0.1, 0.2,0.1,0.7), nrow = 3, ncol = 3 ,byrow = T )
Transitions
plotter.transitions(Transitions, 9, 'probability transition matrix')
simulated = simulate.markov_states(Transition_Matrix = Transitions,Time = 130, startingState = 1)
plotter.states(simulated, title = 'simulated states', thickness = 4)
par(mfrow= c(1,1))
returns = rbind(simulated*0.2, simulated*0.3)
plotter.series(colMeans(returns),simulated,title = 'two stock - three state market')
# find states
par(mfrow = c(1,1))
seg.results = segmentation.procedure(returns = returns, Time = 130, gamma=0.001, iters =50, K = 3 )
plot(y=seg.results$history$metric, x =1:length(seg.results$history$metric), main = 'history', type ='l', xlab = 'iterations', ylab = 'dist')
minIndex = which(seg.results$history$metric ==min(seg.results$history$metric))
par(mfrow = c(1,2))
plotter.series(colMeans(returns),simulated,title = 'Ground truth market states')
plotter.series(colMeans(returns),seg.results$history[[paste("iter:", minIndex[1],"states")]]
, title = 'Optimal market states')
ARI = adj.rand.index(simulated,seg.results$history[[paste("iter:", minIndex[1],"states")]])
ARI = round(ARI,2)
ARI
text(x=70,y=0.6, labels=paste('ARI:', ARI ), cex = 0.75)
# ----------------------------------------------------------
# test 4 gaussian hidden markov model - two state markov model.
# ----------------------------------------------------------
Transitions = matrix(c(0.70,0.30,0.10,0.90), nrow = 2, ncol = 2 ,byrow = T )
plotter.transitions(Transitions, 10, 'probability transition matrix')
simulated = simulate.markov_states(Transition_Matrix = Transitions,Time = 100, startingState = 1)
plotter.states(simulated, title = 'simulated states', thickness = 4)
mu = list()
mu[[1]] = c(0.1, 0.02)
mu[[2]] = c(-0.2, -0.02)
sigma = list()
sigma[[1]] = matrix(c(0.01, 0, 0, 0.02), nrow =2)
sigma[[2]] = matrix(c(0.01, 0, 0, 0.02), nrow = 2)
returns = simulate.prices(simulated, mu = mu, sigma = sigma, dim =2 )
plotter.series(colMeans(returns),simulated, S0 =100, 'Stock Returns')
plotter.series(colMeans(returns),simulated, S0=NA, 'Stock Returns')
# find states
source('R/NohAnzatsStateSimulation.R')
x = NohAnzats.simulate(stateSequence = simulated)
par(mfrow = c(1,1))
# ICC setup
gamma = 0
sparseMethod = 1
distanceFunction = 1
K =2
ICC.Output = ICC.cluster(returnsMatrix = returns, sparseMethod = sparseMethod, gamma = gamma, K = K, max.iters = 100)
seg.results = ICC.Output$OptimalPath
seg.results = segmentation.procedure(returns =returns, Time = 100, gamma=0.001, iters = 100, K = 2 , sparse = 1)
plot(y=seg.results$history$metric, x =1:length(seg.results$history$metric), main = 'history', type ='l', xlab = 'iterations', ylab = 'dist')
minIndex = which(seg.results$history$metric ==min(seg.results$history$metric))
par(mfrow = c(1,2))
plotter.series(colMeans(returns),simulated,title = 'Ground truth market states', S0 = 100)
plotter.series(colMeans(returns),seg.results$history[[paste("iter:", minIndex[1],"states")]]
, title = 'Optimal market states', S0 = 100)
ARI = adj.rand.index(simulated,seg.results$history[[paste("iter:", minIndex[1],"states")]])
ARI = round(ARI,2)
text(x=60,y=0, labels=paste('rand index:', ARI ), cex = 1)
|
rm(list=ls())
setwd('C:\\Users\\WenluluSens\\Downloads\\output20190102')
library(dplyr)
library(data.table)
library(MatrixCompletion)
id <- as.data.table(openxlsx::read.xlsx('idmap.xlsx') %>%
select(pid=patient_id,grp=group16))
x <- data.table::fread('daily_final.csv') %>% mutate(y=(
(exp_rate==0)*0.505 + (exp_rate==1)*0.261 + (exp_rate==2) * 0.114
))
# x <- x %>% group_by(pid) %>%
# summarise(day=max(day),orate=mean(orate),
# srate=sum(exp_rate),mrate=mean(exp_rate))
rawimspline <- function(y,x=1:length(y),pos=24,ifplot=F){
# x <- 1:length(y)
# y <- y
f <- splinefun(x,y,method='monoH.FC')
x2 <- (1:(max(x)*pos)/pos)
y2 <- f(x2)
if(ifplot){
plot(x2,y2,type='l',col=2)
lines(x,y,type='p')
}
y2
}
p <- unique(x$pid)
# par(mfrow=c(3,3))
# test <- lapply(p[1:9+9],function(i){
# print(i)
# x <- filter(x,pid==i)$y
# rawimspline(x,ifplot=T)
# })
system.time(
test <- lapply(p,function(i){
print(i)
x <- filter(x,pid==i)$y
rawimspline(x)
})
)
test <- sapply(test,sum)
x <- x %>% group_by(pid) %>%
summarise(day=max(day),orate=mean(orate),
rate1 = sum(y)) %>% mutate(rate2=test)
x <- x %>% mutate(rate1=rate1/day,rate2=rate2/24/day)
x2 <- unique(data.table::fread('fdata.temp',encoding='UTF-8')
%>% select(pid,orate,hours) %>%
mutate(day=ceiling(hours/24)) %>% select(-hours)) %>% filter(
orate==0) %>% select(-orate) %>% mutate(orate=0,rate1=0.505,rate2=0.505)
x <- rbind(x,x2)
x <- merge(x,id,by=c('pid'))
grp <- x$grp
grp[grp%in%c(1,5,6,11)] <- 'A'
grp[grp%in%c(2,3,8.16)] <- 'B'
grp[!(grp%in%c('A',"B"))] <- 'OTHERS'
x$grp <- grp
x <- x %>% mutate(rate1=rate2*day)
x %>% group_by(grp) %>% summarise(n=n(),day=mean(day),rate1=mean(rate1),rate2=mean(rate2))
| /14_summary2pid.R | no_license | wenrurumon/fenglin | R | false | false | 1,805 | r |
rm(list=ls())
setwd('C:\\Users\\WenluluSens\\Downloads\\output20190102')
library(dplyr)
library(data.table)
library(MatrixCompletion)
id <- as.data.table(openxlsx::read.xlsx('idmap.xlsx') %>%
select(pid=patient_id,grp=group16))
x <- data.table::fread('daily_final.csv') %>% mutate(y=(
(exp_rate==0)*0.505 + (exp_rate==1)*0.261 + (exp_rate==2) * 0.114
))
# x <- x %>% group_by(pid) %>%
# summarise(day=max(day),orate=mean(orate),
# srate=sum(exp_rate),mrate=mean(exp_rate))
rawimspline <- function(y,x=1:length(y),pos=24,ifplot=F){
# x <- 1:length(y)
# y <- y
f <- splinefun(x,y,method='monoH.FC')
x2 <- (1:(max(x)*pos)/pos)
y2 <- f(x2)
if(ifplot){
plot(x2,y2,type='l',col=2)
lines(x,y,type='p')
}
y2
}
p <- unique(x$pid)
# par(mfrow=c(3,3))
# test <- lapply(p[1:9+9],function(i){
# print(i)
# x <- filter(x,pid==i)$y
# rawimspline(x,ifplot=T)
# })
system.time(
test <- lapply(p,function(i){
print(i)
x <- filter(x,pid==i)$y
rawimspline(x)
})
)
test <- sapply(test,sum)
x <- x %>% group_by(pid) %>%
summarise(day=max(day),orate=mean(orate),
rate1 = sum(y)) %>% mutate(rate2=test)
x <- x %>% mutate(rate1=rate1/day,rate2=rate2/24/day)
x2 <- unique(data.table::fread('fdata.temp',encoding='UTF-8')
%>% select(pid,orate,hours) %>%
mutate(day=ceiling(hours/24)) %>% select(-hours)) %>% filter(
orate==0) %>% select(-orate) %>% mutate(orate=0,rate1=0.505,rate2=0.505)
x <- rbind(x,x2)
x <- merge(x,id,by=c('pid'))
grp <- x$grp
grp[grp%in%c(1,5,6,11)] <- 'A'
grp[grp%in%c(2,3,8.16)] <- 'B'
grp[!(grp%in%c('A',"B"))] <- 'OTHERS'
x$grp <- grp
x <- x %>% mutate(rate1=rate2*day)
x %>% group_by(grp) %>% summarise(n=n(),day=mean(day),rate1=mean(rate1),rate2=mean(rate2))
|
numPerPatch42656 <- c(2506,2494)
| /NatureEE-data-archive/Run202971/JAFSdata/JAFSnumPerPatch42656.R | no_license | flaxmans/NatureEE2017 | R | false | false | 33 | r | numPerPatch42656 <- c(2506,2494)
|
##Select the data, and eliminate NAs
plot2Data<-houPow[houPow$Date=="1/2/2007" | houPow$Date=="2/2/2007",]
plot2Data<-plot2Data[complete.cases(plot2Data$Time,plot2Data$Global_active_power),]
##concatonate Date and Time and store appropriately
powDay<-as.POSIXct(paste(plot2Data$Date,plot2Data$Time), format="%d/%m/%Y %H:%M:%S")
##Plot global active power as a function of time and label appropriately
plot(powDay,plot2Data$Global_active_power,type="l",ylab = "Global Active Power (kilowatts)",xlab="")
## copy to file as PNG
dev.copy(png,file="Plot2.png")
## close the graphics device
dev.off()
| /Plot2.R | no_license | stevenjj72/BasePlotEDA | R | false | false | 616 | r |
##Select the data, and eliminate NAs
plot2Data<-houPow[houPow$Date=="1/2/2007" | houPow$Date=="2/2/2007",]
plot2Data<-plot2Data[complete.cases(plot2Data$Time,plot2Data$Global_active_power),]
##concatonate Date and Time and store appropriately
powDay<-as.POSIXct(paste(plot2Data$Date,plot2Data$Time), format="%d/%m/%Y %H:%M:%S")
##Plot global active power as a function of time and label appropriately
plot(powDay,plot2Data$Global_active_power,type="l",ylab = "Global Active Power (kilowatts)",xlab="")
## copy to file as PNG
dev.copy(png,file="Plot2.png")
## close the graphics device
dev.off()
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/kinesisanalyticsv2_operations.R
\name{kinesisanalyticsv2_list_tags_for_resource}
\alias{kinesisanalyticsv2_list_tags_for_resource}
\title{Retrieves the list of key-value tags assigned to the application}
\usage{
kinesisanalyticsv2_list_tags_for_resource(ResourceARN)
}
\arguments{
\item{ResourceARN}{[required] The ARN of the application for which to retrieve tags.}
}
\description{
Retrieves the list of key-value tags assigned to the application. For
more information, see \href{https://docs.aws.amazon.com/kinesisanalytics/latest/java/how-tagging.html}{Using Tagging}.
}
\section{Request syntax}{
\preformatted{svc$list_tags_for_resource(
ResourceARN = "string"
)
}
}
\keyword{internal}
| /paws/man/kinesisanalyticsv2_list_tags_for_resource.Rd | permissive | johnnytommy/paws | R | false | true | 771 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/kinesisanalyticsv2_operations.R
\name{kinesisanalyticsv2_list_tags_for_resource}
\alias{kinesisanalyticsv2_list_tags_for_resource}
\title{Retrieves the list of key-value tags assigned to the application}
\usage{
kinesisanalyticsv2_list_tags_for_resource(ResourceARN)
}
\arguments{
\item{ResourceARN}{[required] The ARN of the application for which to retrieve tags.}
}
\description{
Retrieves the list of key-value tags assigned to the application. For
more information, see \href{https://docs.aws.amazon.com/kinesisanalytics/latest/java/how-tagging.html}{Using Tagging}.
}
\section{Request syntax}{
\preformatted{svc$list_tags_for_resource(
ResourceARN = "string"
)
}
}
\keyword{internal}
|
library(mrgsolve)
### Name: as_bmat
### Title: Coerce R objects to block or diagonal matrices
### Aliases: as_bmat as_bmat,list-method as_bmat,numeric-method
### as_bmat,data.frame-method as_bmat,ANY-method as_dmat
### as_dmat,list-method as_dmat,ANY-method as_dmat,numeric-method
### as_dmat,data.frame-method
### ** Examples
df <- data.frame(OMEGA1.1 = c(1,2),
OMEGA2.1 = c(11,22),
OMEGA2.2 = c(3,4),
SIGMA1.1 = 1,
FOO=-1)
as_bmat(df, "OMEGA")
as_dmat(df,"SIGMA")
as_dmat(df[1,],"OMEGA")
| /data/genthat_extracted_code/mrgsolve/examples/as_bmat.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 574 | r | library(mrgsolve)
### Name: as_bmat
### Title: Coerce R objects to block or diagonal matrices
### Aliases: as_bmat as_bmat,list-method as_bmat,numeric-method
### as_bmat,data.frame-method as_bmat,ANY-method as_dmat
### as_dmat,list-method as_dmat,ANY-method as_dmat,numeric-method
### as_dmat,data.frame-method
### ** Examples
df <- data.frame(OMEGA1.1 = c(1,2),
OMEGA2.1 = c(11,22),
OMEGA2.2 = c(3,4),
SIGMA1.1 = 1,
FOO=-1)
as_bmat(df, "OMEGA")
as_dmat(df,"SIGMA")
as_dmat(df[1,],"OMEGA")
|
#' Grab CV1se Solution for Lasso Regression
#'
#' This function runs a glmnet() with lasso regression and pulls the best the beta value of
#' the glmnet.fit object with the largest value of lambda such that error is
#' within 1 standard error of the minimum.
#'
#' @param folds Optional. The number of cross validation folds to partition the
#' data into. (Default = 10)
#' @inheritParams lassoAIC
#'
#' @return The beta value of the glmnet.fit object with the largest value of
#' lambda such that error is within 1 standard error of the minimum.
#' @export
lassoCV1se <- function(y,x,folds=10){
#require(glmnet)
res <- glmnet::cv.glmnet(y=y,x=x,nfolds = folds)
return(res$glmnet.fit$beta[,which(res$lambda==res$lambda.1se)])
}
#bic:nlogsig + klogn | /R/lassoCV1se.R | permissive | Sage-Bionetworks/metanetwork | R | false | false | 762 | r | #' Grab CV1se Solution for Lasso Regression
#'
#' This function runs a glmnet() with lasso regression and pulls the best the beta value of
#' the glmnet.fit object with the largest value of lambda such that error is
#' within 1 standard error of the minimum.
#'
#' @param folds Optional. The number of cross validation folds to partition the
#' data into. (Default = 10)
#' @inheritParams lassoAIC
#'
#' @return The beta value of the glmnet.fit object with the largest value of
#' lambda such that error is within 1 standard error of the minimum.
#' @export
lassoCV1se <- function(y,x,folds=10){
#require(glmnet)
res <- glmnet::cv.glmnet(y=y,x=x,nfolds = folds)
return(res$glmnet.fit$beta[,which(res$lambda==res$lambda.1se)])
}
#bic:nlogsig + klogn |
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