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
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classes | length_bytes int64 4 6.46M | extension large_stringclasses 75
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|---|---|---|---|---|---|---|---|---|---|
### Data Science Track
### Exploring Data
## Quiz 1 - plot 4 (includes 4 graphs)
## use local unix tools to strip down our data by issuing the following commands
## (remove the "#>" before issuing the commands):
#> grep "^[12]\/2\/2007" household_power_consumption.txt > hpc_2days_noheader.txt
#> head -1 household_powe... | /plot4.R | no_license | epinym/ExData_Plotting1 | R | false | false | 1,634 | r | ### Data Science Track
### Exploring Data
## Quiz 1 - plot 4 (includes 4 graphs)
## use local unix tools to strip down our data by issuing the following commands
## (remove the "#>" before issuing the commands):
#> grep "^[12]\/2\/2007" household_power_consumption.txt > hpc_2days_noheader.txt
#> head -1 household_powe... |
# This program reads the data created by the replicators and downloaded from
# Google in the previous step and compiles them into a master dataframe
# -------------------------------------
# Compile replication lists into a master file
# -------------------------------------
# Read in worksheet names of the replicati... | /programs/02_read_clean_replicationlist.R | no_license | AEADataEditor/report-aea-data-editor-2018 | R | false | false | 2,724 | r | # This program reads the data created by the replicators and downloaded from
# Google in the previous step and compiles them into a master dataframe
# -------------------------------------
# Compile replication lists into a master file
# -------------------------------------
# Read in worksheet names of the replicati... |
# ctr+shift+c(一括コメント)
#これにより深さと増加量のグラフをすべて生成
#initialize
total_height<-0
total_increase<-0
ave_height<-0
ave_increase<-0
#filename
before_workspace <- "/home/ax909424/r"
after_workspace <- "/simulation_result"
expand <- c("/reproduction","/homo_path","/bias","/both")
date <- c(... | /r_workspace_master/source/create_4_image_ver1.3.R | no_license | kenty38/research_git_repository | R | false | false | 4,030 | r |
# ctr+shift+c(一括コメント)
#これにより深さと増加量のグラフをすべて生成
#initialize
total_height<-0
total_increase<-0
ave_height<-0
ave_increase<-0
#filename
before_workspace <- "/home/ax909424/r"
after_workspace <- "/simulation_result"
expand <- c("/reproduction","/homo_path","/bias","/both")
date <- c(... |
#' Tchau
#'
#' Description here
#'
#' @return nothing
#' @export
#'
#' @examples
#' '> tchau()
#' [1] "Tchau, world!"
tchau <- function() {
print("Tchau, world!")
}
| /R/tchau.R | permissive | hugoharada/package00 | R | false | false | 170 | r |
#' Tchau
#'
#' Description here
#'
#' @return nothing
#' @export
#'
#' @examples
#' '> tchau()
#' [1] "Tchau, world!"
tchau <- function() {
print("Tchau, world!")
}
|
#' Sets the default breaks for a time axis
#'
#' \code{xgx_breaks_time} sets the default breaks for a time axis,
#' given the units of the data and the units of the plot.
#' It is inspired by scales::extended_breaks
#'
#' for the extended breaks function, weights is a set of 4 weights for
#' \enumerate{
#' \item simp... | /R/xgx_breaks_time.R | permissive | Novartis/xgxr | R | false | false | 3,142 | r | #' Sets the default breaks for a time axis
#'
#' \code{xgx_breaks_time} sets the default breaks for a time axis,
#' given the units of the data and the units of the plot.
#' It is inspired by scales::extended_breaks
#'
#' for the extended breaks function, weights is a set of 4 weights for
#' \enumerate{
#' \item simp... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plot.gprd.R
\name{plot.gprd}
\alias{plot.gprd}
\title{Plot Gaussian Process Regression for Regression Discontinuity}
\usage{
\method{plot}{gprd}(
x,
from = "data_min",
to = "data_max",
n_points = NULL,
ci_width = 0.95,
data_color ... | /man/plot.gprd.Rd | no_license | duckmayr/gprd | R | false | true | 2,227 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plot.gprd.R
\name{plot.gprd}
\alias{plot.gprd}
\title{Plot Gaussian Process Regression for Regression Discontinuity}
\usage{
\method{plot}{gprd}(
x,
from = "data_min",
to = "data_max",
n_points = NULL,
ci_width = 0.95,
data_color ... |
#' Check package including congruence of attributes and data
#'
#' This function checks that the attributes listed in the metadata match the values in the data for each
#' tabular data object. It may also optionally check if all creators have ORCIDs and have full access
#' to all elements of the data package.
#'
#' @pa... | /R/qa_package.R | permissive | NCEAS/datamgmt | R | false | false | 32,329 | r | #' Check package including congruence of attributes and data
#'
#' This function checks that the attributes listed in the metadata match the values in the data for each
#' tabular data object. It may also optionally check if all creators have ORCIDs and have full access
#' to all elements of the data package.
#'
#' @pa... |
\name{fsu-package}
\alias{fsu-package}
%- Also NEED an '\alias' for EACH other topic documented here.
\title{
Forecasting Functions for Time Series
}
\description{
Featuring methods and tools developed by the Foreacsting & Strategy Unit (National Technical University of Athens) \cr
\url{https://fsu.gr}.
}
\de... | /man/fsu-package.Rd | no_license | vagtheodorou/fsu | R | false | false | 462 | rd | \name{fsu-package}
\alias{fsu-package}
%- Also NEED an '\alias' for EACH other topic documented here.
\title{
Forecasting Functions for Time Series
}
\description{
Featuring methods and tools developed by the Foreacsting & Strategy Unit (National Technical University of Athens) \cr
\url{https://fsu.gr}.
}
\de... |
library(shiny)
library(HistData)
data(GaltonFamilies)
fitGalton <- readRDS("galtonFit.rds")
lowerConf <<- 0
upperConf <<- 0
fit <<- 0
predictHeight <- function(input) {
newData = data.frame("mother" = input$mother,
"father" = input$father,
"gender" = input$gender,
... | /heightEstimator/server.R | no_license | KJBrock/DataProducts | R | false | false | 1,397 | r | library(shiny)
library(HistData)
data(GaltonFamilies)
fitGalton <- readRDS("galtonFit.rds")
lowerConf <<- 0
upperConf <<- 0
fit <<- 0
predictHeight <- function(input) {
newData = data.frame("mother" = input$mother,
"father" = input$father,
"gender" = input$gender,
... |
#################################
####### Synthetic examples ######
######## Nested clusters ########
#################################
rm(list=ls())
library(MASS)
library(ggplot2)
library(reshape)
library(reshape2)
### Define ggplot2 theme ###
my_theme <- theme(
panel.background = element_rect(fill = NA),
... | /code/synthetic-data-c-plot-new-kmeans.R | no_license | acabassi/klic-code | R | false | false | 5,369 | r | #################################
####### Synthetic examples ######
######## Nested clusters ########
#################################
rm(list=ls())
library(MASS)
library(ggplot2)
library(reshape)
library(reshape2)
### Define ggplot2 theme ###
my_theme <- theme(
panel.background = element_rect(fill = NA),
... |
% Generated by roxygen2 (4.0.2): do not edit by hand
\name{saveWidget}
\alias{saveWidget}
\title{Save a widget to an HTML file}
\usage{
saveWidget(widget, file, selfcontained = TRUE, libdir = NULL)
}
\arguments{
\item{widget}{Widget to save}
\item{file}{File to save HTML into}
\item{selfcontained}{Whether to save the... | /man/saveWidget.Rd | no_license | hafen/htmlwidgets | R | false | false | 646 | rd | % Generated by roxygen2 (4.0.2): do not edit by hand
\name{saveWidget}
\alias{saveWidget}
\title{Save a widget to an HTML file}
\usage{
saveWidget(widget, file, selfcontained = TRUE, libdir = NULL)
}
\arguments{
\item{widget}{Widget to save}
\item{file}{File to save HTML into}
\item{selfcontained}{Whether to save the... |
library(powdR)
### Name: bkg
### Title: Fit a background to XRPD data
### Aliases: bkg
### ** Examples
data(soils)
fit_bkg <- bkg(soils$granite)
| /data/genthat_extracted_code/powdR/examples/bkg.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 152 | r | library(powdR)
### Name: bkg
### Title: Fit a background to XRPD data
### Aliases: bkg
### ** Examples
data(soils)
fit_bkg <- bkg(soils$granite)
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Prediction_operators.R
\name{getPredictionProbabilities}
\alias{getPredictionProbabilities}
\title{Get probabilities for some classes.}
\usage{
getPredictionProbabilities(pred, cl)
}
\arguments{
\item{pred}{[\code{\link{Prediction}}]\cr
Predi... | /man/getPredictionProbabilities.Rd | no_license | abhik1368/mlr | R | false | true | 1,447 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Prediction_operators.R
\name{getPredictionProbabilities}
\alias{getPredictionProbabilities}
\title{Get probabilities for some classes.}
\usage{
getPredictionProbabilities(pred, cl)
}
\arguments{
\item{pred}{[\code{\link{Prediction}}]\cr
Predi... |
spacetime.db = function( DS, p, B=NULL, grp=NULL ) {
#// usage: low level function to convert data into bigmemory obects to permit parallel
#// data access and maipulation
#// B is the xyz data to work upon
#/+
if (DS %in% "bigmemory.inla.filenames" ) {
# create file backed bigmemory obj... | /spacetime/src/_Rfunctions/spacetime.methods/spacetime.db.r | no_license | fernandomayer/ecomod | R | false | false | 18,463 | r |
spacetime.db = function( DS, p, B=NULL, grp=NULL ) {
#// usage: low level function to convert data into bigmemory obects to permit parallel
#// data access and maipulation
#// B is the xyz data to work upon
#/+
if (DS %in% "bigmemory.inla.filenames" ) {
# create file backed bigmemory obj... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data-coastlines.R
\docType{data}
\name{coastlines}
\alias{coastlines}
\alias{Melbourne_coastline}
\alias{Sydney_coastline}
\alias{Brisbane_coastline}
\title{Coastline coordinates}
\format{\describe{
\item{\code{long}}{Longitude of coastline.}... | /man/coastlines.Rd | no_license | HughParsonage/grattanCharts | R | false | true | 691 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data-coastlines.R
\docType{data}
\name{coastlines}
\alias{coastlines}
\alias{Melbourne_coastline}
\alias{Sydney_coastline}
\alias{Brisbane_coastline}
\title{Coastline coordinates}
\format{\describe{
\item{\code{long}}{Longitude of coastline.}... |
#for splitting data
library(caTools)
split<-sample.split(all_data,SplitRatio=0.7)
split
train1<-subset(all_data,split="TRUE")
test1<-subset(all_data,split="FALSE")
train1
test1
model2<-lm(January ~.,data=train1)
summary(model2)
pred2<-predict(model2,test1)
pred2
summary(model2)
#for calculating err... | /Regression_Analysis.R | no_license | Gunjal15/Spatio-Temporal-Analysis-Of-Agro-Climatic-Parameters-Of-India-Using-Machine-Learning-Algorithms | R | false | false | 995 | r |
#for splitting data
library(caTools)
split<-sample.split(all_data,SplitRatio=0.7)
split
train1<-subset(all_data,split="TRUE")
test1<-subset(all_data,split="FALSE")
train1
test1
model2<-lm(January ~.,data=train1)
summary(model2)
pred2<-predict(model2,test1)
pred2
summary(model2)
#for calculating err... |
#' Dismounts veracrypt container directly from R
#'
#' This function dismounts the veracrypt container directly from R. Also check the sister function \code{\link{vc_mount}}.
#' @param drive character: name of the drive from which to dismount the volume. Example - "Z://"
#' @param vcexecutable character: name of the ve... | /R/vc_dismount.R | no_license | Anoopsinghrawat/snxt | R | false | false | 1,039 | r | #' Dismounts veracrypt container directly from R
#'
#' This function dismounts the veracrypt container directly from R. Also check the sister function \code{\link{vc_mount}}.
#' @param drive character: name of the drive from which to dismount the volume. Example - "Z://"
#' @param vcexecutable character: name of the ve... |
## R programming assignment Deadline : 9-27-2015
makeCacheMatrix <- function(x = matrix()) { ## makeCacheMatrix: This function creates a special "matrix" object that can cache its inverse.
m <- NULL ## m is set to null
set <- function(y) {
x <<- y
m <<- NULL
}
get <- function() x
set... | /cachematrix.R | no_license | tuliphs1113/ProgrammingAssignment2 | R | false | false | 941 | r | ## R programming assignment Deadline : 9-27-2015
makeCacheMatrix <- function(x = matrix()) { ## makeCacheMatrix: This function creates a special "matrix" object that can cache its inverse.
m <- NULL ## m is set to null
set <- function(y) {
x <<- y
m <<- NULL
}
get <- function() x
set... |
testlist <- list(genotype = 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))
result <- do.call(detectRUNS:::genoConvertCpp,testlist)
str(result) | /detectRUNS/inst/testfiles/genoConvertCpp/libFuzzer_genoConvertCpp/genoConvertCpp_valgrind_files/1609875257-test.R | no_license | akhikolla/updated-only-Issues | R | false | false | 203 | r | testlist <- list(genotype = 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))
result <- do.call(detectRUNS:::genoConvertCpp,testlist)
str(result) |
context("API methods")
exercism_path <- "~/temp"
exercism_key <- "test123"
dir.create(exercism_path)
Sys.setenv(EXERCISM_KEY = exercism_key)
Sys.setenv(EXERCISM_PATH = path.expand(exercism_path))
on.exit({
unlink(exercism_path, recursive = TRUE, force = TRUE)
Sys.unsetenv("EXERCISM_KEY")
Sys.unsetenv("EXERCISM... | /tests/testthat/test-api.R | permissive | jonmcalder/exercism | R | false | false | 1,414 | r | context("API methods")
exercism_path <- "~/temp"
exercism_key <- "test123"
dir.create(exercism_path)
Sys.setenv(EXERCISM_KEY = exercism_key)
Sys.setenv(EXERCISM_PATH = path.expand(exercism_path))
on.exit({
unlink(exercism_path, recursive = TRUE, force = TRUE)
Sys.unsetenv("EXERCISM_KEY")
Sys.unsetenv("EXERCISM... |
############################################################################################################################
# checkModelList()
# This checks user model list passed to MARSS().
# The main purpose is to make sure that MARSS.form functions will work not to make sure model is valid
# Dim checks on ... | /R/checkModelList.r | permissive | nwfsc-timeseries/MARSS | R | false | false | 4,990 | r | ############################################################################################################################
# checkModelList()
# This checks user model list passed to MARSS().
# The main purpose is to make sure that MARSS.form functions will work not to make sure model is valid
# Dim checks on ... |
% Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/edge_info.R
\name{edge_info}
\alias{edge_info}
\title{Get detailed information on edges}
\usage{
edge_info(graph)
}
\arguments{
\item{graph}{a graph object of class 'gv_graph'.}
}
\value{
a data frame containing information specific t... | /man/edge_info.Rd | no_license | taylorruss/DiagrammeR | R | false | false | 469 | rd | % Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/edge_info.R
\name{edge_info}
\alias{edge_info}
\title{Get detailed information on edges}
\usage{
edge_info(graph)
}
\arguments{
\item{graph}{a graph object of class 'gv_graph'.}
}
\value{
a data frame containing information specific t... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/operations.R
\name{log,ExpressionSet-method}
\alias{log,ExpressionSet-method}
\alias{expb}
\alias{expb,numeric-method}
\alias{expb,matrix-method}
\alias{expb,ExpressionSet-method}
\alias{exp,ExpressionSet-method}
\alias{range,ExpressionSet-me... | /man/ExpressionSet-compute.Rd | no_license | linuxpham/xbioc | R | false | true | 1,380 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/operations.R
\name{log,ExpressionSet-method}
\alias{log,ExpressionSet-method}
\alias{expb}
\alias{expb,numeric-method}
\alias{expb,matrix-method}
\alias{expb,ExpressionSet-method}
\alias{exp,ExpressionSet-method}
\alias{range,ExpressionSet-me... |
\name{pcor.shrink}
\alias{pcor.shrink}
\alias{pvar.shrink}
\title{Shrinkage Estimates of Partial Correlation and Partial Variance}
\description{
The functions \code{pcor.shrink} and \code{pvar.shrink} compute shrinkage estimates
of partial correlation and partial variance, respectively.
}
\usage{
pcor.shrink(x, ... | /man/pcor.shrink.Rd | no_license | cran/corpcor | R | false | false | 3,611 | rd | \name{pcor.shrink}
\alias{pcor.shrink}
\alias{pvar.shrink}
\title{Shrinkage Estimates of Partial Correlation and Partial Variance}
\description{
The functions \code{pcor.shrink} and \code{pvar.shrink} compute shrinkage estimates
of partial correlation and partial variance, respectively.
}
\usage{
pcor.shrink(x, ... |
#' @title Duplicate Genotypes
#' @description Identify duplicate or very similar genotypes.
#'
#' @param g a \linkS4class{gtypes} object.
#' @param num.shared either number of loci or percentage of loci two
#' individuals must share to be considered duplicate individuals.
#' @param num.cores number of CPU cores to ... | /R/dupGenotypes.R | no_license | PAMorin/strataG | R | false | false | 2,537 | r | #' @title Duplicate Genotypes
#' @description Identify duplicate or very similar genotypes.
#'
#' @param g a \linkS4class{gtypes} object.
#' @param num.shared either number of loci or percentage of loci two
#' individuals must share to be considered duplicate individuals.
#' @param num.cores number of CPU cores to ... |
#R_Workshop_June2019
# what we did in the workshop in June 2019
# Tomo Eguchi
# June 2019
# clean the workspace before do anything
rm(list=ls())
# read the cleaned up version of our data file
growth_data_1 <- read.csv(file = 'data/Growth data Nov 2008 cleaned.csv',
na.strings = "")
# remo... | /R_workshop_June2019.R | no_license | mteguchi/R_mini_course_2019 | R | false | false | 18,549 | r | #R_Workshop_June2019
# what we did in the workshop in June 2019
# Tomo Eguchi
# June 2019
# clean the workspace before do anything
rm(list=ls())
# read the cleaned up version of our data file
growth_data_1 <- read.csv(file = 'data/Growth data Nov 2008 cleaned.csv',
na.strings = "")
# remo... |
# --------
# Коссова Е.В., Потанин Б.С.
# Микроэконометрика качественных данных
# Тема 2. Альтернативные спецификации распределений
# в моделях бинарного выбора
# --------
# Отключим scientific notation
options(scipen = 999)
#---------------------------------------------------
# Симуляция данных
#... | /2. Тестирование гипотез о спецификации в моделях бинарного выбора.r | no_license | bogdanpotanin/Microeconometrics2 | R | false | false | 33,761 | r | # --------
# Коссова Е.В., Потанин Б.С.
# Микроэконометрика качественных данных
# Тема 2. Альтернативные спецификации распределений
# в моделях бинарного выбора
# --------
# Отключим scientific notation
options(scipen = 999)
#---------------------------------------------------
# Симуляция данных
#... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/playmoviespartner_functions.R
\docType{package}
\name{playmoviespartner_googleAuthR}
\alias{playmoviespartner_googleAuthR}
\alias{playmoviespartner_googleAuthR-package}
\title{Google Play Movies Partner API
Gets the delivery status of titles ... | /googleplaymoviespartnerv1.auto/man/playmoviespartner_googleAuthR.Rd | permissive | GVersteeg/autoGoogleAPI | R | false | true | 702 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/playmoviespartner_functions.R
\docType{package}
\name{playmoviespartner_googleAuthR}
\alias{playmoviespartner_googleAuthR}
\alias{playmoviespartner_googleAuthR-package}
\title{Google Play Movies Partner API
Gets the delivery status of titles ... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/mcode.R
\name{mcode}
\alias{mcode}
\title{Multivariate recode}
\usage{
mcode(..., recodes, .fill = NA, .result, .factors = c("character",
"numeric"))
}
\arguments{
\item{\dots}{One or more vectors of equal length.}
\item{recodes}{A \sQuote... | /man/mcode.Rd | no_license | leeper/mcode | R | false | true | 3,345 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/mcode.R
\name{mcode}
\alias{mcode}
\title{Multivariate recode}
\usage{
mcode(..., recodes, .fill = NA, .result, .factors = c("character",
"numeric"))
}
\arguments{
\item{\dots}{One or more vectors of equal length.}
\item{recodes}{A \sQuote... |
## File Name: invariance_alignment_summary_optimization.R
## File Version: 0.07
invariance_alignment_summary_optimization <- function(object, digits)
{
align.pow <- object$align.pow
align.scale <- object$align.scale
cat("Optimization Function Value", "=", round(object$fopt[1],digits), "\n" )
cat("Optim... | /R/invariance_alignment_summary_optimization.R | no_license | hyunsooseol/sirt | R | false | false | 855 | r | ## File Name: invariance_alignment_summary_optimization.R
## File Version: 0.07
invariance_alignment_summary_optimization <- function(object, digits)
{
align.pow <- object$align.pow
align.scale <- object$align.scale
cat("Optimization Function Value", "=", round(object$fopt[1],digits), "\n" )
cat("Optim... |
#'@export
get_perm_peaks <- function(file_name, chunk, perms,
nchunks, chunksize, margin, smooth_ix_range, peak_pos_range,
stat_fun, resid_fun, smooth_func, cores, libs, bandwidth,
X, trait, covariates, s0, z0, zmin,
... | /R/get_perm_peaks.R | no_license | jean997/fret | R | false | false | 2,744 | r | #'@export
get_perm_peaks <- function(file_name, chunk, perms,
nchunks, chunksize, margin, smooth_ix_range, peak_pos_range,
stat_fun, resid_fun, smooth_func, cores, libs, bandwidth,
X, trait, covariates, s0, z0, zmin,
... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/heat_tree--legend.R
\name{inverse}
\alias{inverse}
\title{Generate the inverse of a function}
\usage{
inverse(f, interval)
}
\arguments{
\item{f}{(\code{function} with one argument) A function to derive and inverse from}
\item{interval}{(\co... | /man/inverse.Rd | permissive | seninp/metacoder | R | false | true | 598 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/heat_tree--legend.R
\name{inverse}
\alias{inverse}
\title{Generate the inverse of a function}
\usage{
inverse(f, interval)
}
\arguments{
\item{f}{(\code{function} with one argument) A function to derive and inverse from}
\item{interval}{(\co... |
## Put comments here that give an overall description of what your
## functions do
## Write a short comment describing this function
makeCacheMatrix <- function(x = matrix()) {
## set the invers Matrix to null
inverse <- NULL
set <- function(y) {
x <<- y ## copy rhe matix to var x
inverse <<- NULL ##... | /cachematrix.R | no_license | GalPeled/ProgrammingAssignment2 | R | false | false | 1,169 | r | ## Put comments here that give an overall description of what your
## functions do
## Write a short comment describing this function
makeCacheMatrix <- function(x = matrix()) {
## set the invers Matrix to null
inverse <- NULL
set <- function(y) {
x <<- y ## copy rhe matix to var x
inverse <<- NULL ##... |
##==================================================
# Dimensions for viewer
##==================================================
niceDimensions <- function(n, nrow = NULL, ncol = NULL){
sqn <- sqrt(n)
chooseDims <- c(!is.null(nrow) & !is.null(ncol),
!is.null(nrow) & is.null(ncol),
... | /code/multiplot.R | no_license | CedricBezy/stat_sante_git | R | false | false | 6,064 | r | ##==================================================
# Dimensions for viewer
##==================================================
niceDimensions <- function(n, nrow = NULL, ncol = NULL){
sqn <- sqrt(n)
chooseDims <- c(!is.null(nrow) & !is.null(ncol),
!is.null(nrow) & is.null(ncol),
... |
### 2a AP 2021.1
### Técnica de Análise de Dados de Transportes
### Prof. Dr. Manoel Mendonça de Castro Neto
### Aluno: Nelson de O. Quesado Filho
### Matrícula: 504117
# Bibliotecas utilizadas
library(tidyverse)
library(wesanderson)
library(lmtest)
#1a Questão:
# (...) avaliar se o agregado (brita) da 1AP está com r... | /Nelson_Quesado_2AP_21_v5.R | no_license | nelsonquesado/tad-2021.1 | R | false | false | 18,623 | r | ### 2a AP 2021.1
### Técnica de Análise de Dados de Transportes
### Prof. Dr. Manoel Mendonça de Castro Neto
### Aluno: Nelson de O. Quesado Filho
### Matrícula: 504117
# Bibliotecas utilizadas
library(tidyverse)
library(wesanderson)
library(lmtest)
#1a Questão:
# (...) avaliar se o agregado (brita) da 1AP está com r... |
#' createExperimentSample - Create a new experiment sample from a sample lot.
#'
#' \code{createExperimentSample} Creates a new instance of an entity.
#' @param coreApi coreApi object with valid jsessionid
#' @param experimentType experiment type to get as character string
#' @param experimentBarcode experiment barcod... | /R/createExperimentSample.R | no_license | ceparman/CoreAPIV2_beta | R | false | false | 1,950 | r | #' createExperimentSample - Create a new experiment sample from a sample lot.
#'
#' \code{createExperimentSample} Creates a new instance of an entity.
#' @param coreApi coreApi object with valid jsessionid
#' @param experimentType experiment type to get as character string
#' @param experimentBarcode experiment barcod... |
# plotting GPP vs. R and color coding by season; JAZ & JK; 2018-03-09
#first part is creating dataframes with data we want to plot.
#starts with reading in individual lake files and binding them into one data frame
#then merges dataframes together (e.g., metabolism dataframe with loading data frame)
#there is code in ... | /R_code/fingerprintplots.r | no_license | Atefeh786/catchment_metab_wg | R | false | false | 11,807 | r | # plotting GPP vs. R and color coding by season; JAZ & JK; 2018-03-09
#first part is creating dataframes with data we want to plot.
#starts with reading in individual lake files and binding them into one data frame
#then merges dataframes together (e.g., metabolism dataframe with loading data frame)
#there is code in ... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/tests.R
\name{summary.SpdModelTest}
\alias{summary.SpdModelTest}
\title{Summarise a \code{SpdModelTest} class object}
\usage{
summary.SpdModelTest(object, ...)
}
\arguments{
\item{object}{A \code{SpdModelTest} class object produced using the ... | /man/summary.SpdModelTest.Rd | no_license | f-silva-archaeo/rcarbon | R | false | true | 735 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/tests.R
\name{summary.SpdModelTest}
\alias{summary.SpdModelTest}
\title{Summarise a \code{SpdModelTest} class object}
\usage{
summary.SpdModelTest(object, ...)
}
\arguments{
\item{object}{A \code{SpdModelTest} class object produced using the ... |
## Format date to Type Date
epc <- read.table("household_power_consumption.txt", header=TRUE, sep=";", na.strings = "?")
epc$Date <- as.Date(t$Date, "%d/%m/%Y")
## Filter data set from Feb. 1, 2007 to Feb. 2, 2007
epct <- subset(t,Date >= as.Date("2007-2-1") & Date <= as.Date("2007-2-2"))
## Remove incom... | /plot2.R | no_license | xela005/ExData_Plotting1 | R | false | false | 902 | r | ## Format date to Type Date
epc <- read.table("household_power_consumption.txt", header=TRUE, sep=";", na.strings = "?")
epc$Date <- as.Date(t$Date, "%d/%m/%Y")
## Filter data set from Feb. 1, 2007 to Feb. 2, 2007
epct <- subset(t,Date >= as.Date("2007-2-1") & Date <= as.Date("2007-2-2"))
## Remove incom... |
library(plyr)
# Step 1
# Merge the training and test sets to create one data set
###############################################################################
x_train <- read.table("./data/UCI HAR Dataset/train/X_train.txt")
y_train <- read.table("./data/UCI HAR Dataset/train/y_train.txt")
subject_train <- read.ta... | /run_analysis.R | no_license | brettearnest/GetAndCleanDataProject | R | false | false | 2,371 | r |
library(plyr)
# Step 1
# Merge the training and test sets to create one data set
###############################################################################
x_train <- read.table("./data/UCI HAR Dataset/train/X_train.txt")
y_train <- read.table("./data/UCI HAR Dataset/train/y_train.txt")
subject_train <- read.ta... |
library(dplyr)
#check if the dataset exists and if not download and unzip the data:
if (!file.exists("UCI HAR Dataset")){
Url <- "https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip"
download.file(Url, destfile = "./data.zip", method = "curl")
#unzip files
unzip("data.zip")
} ... | /run_analysis.R | no_license | ReettaH/Course-project_Getting-and-Cleaning-data | R | false | false | 4,235 | r | library(dplyr)
#check if the dataset exists and if not download and unzip the data:
if (!file.exists("UCI HAR Dataset")){
Url <- "https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip"
download.file(Url, destfile = "./data.zip", method = "curl")
#unzip files
unzip("data.zip")
} ... |
\name{geom_step}
\alias{geom_step}
\title{Connect observations by stairs.}
\usage{
geom_step(mapping = NULL, data = NULL, stat = "identity",
position = "identity", direction = "hv", ...)
}
\arguments{
\item{direction}{direction of stairs: 'vh' for vertical
then horizontal, or 'hv' for horizontal then vertical... | /man/geom_step.Rd | no_license | djmurphy420/ggplot2 | R | false | false | 1,567 | rd | \name{geom_step}
\alias{geom_step}
\title{Connect observations by stairs.}
\usage{
geom_step(mapping = NULL, data = NULL, stat = "identity",
position = "identity", direction = "hv", ...)
}
\arguments{
\item{direction}{direction of stairs: 'vh' for vertical
then horizontal, or 'hv' for horizontal then vertical... |
######### Binomal Power Analysis of AUV Data #######
library(stringr)
library(dplyr)
library(tidyr)
# Clear memory ----
rm(list=ls())
# Set working directory ####
#w.dir<-dirname(rstudioapi::getActiveDocumentContext()$path)
w.dir <- "~/PA_Binomial"
w.dir
# Set data directory - to read the data from
#setwd(paste(w.d... | /DTV-NPZ-22092020.R | no_license | anitas-giraldo/PA_Binomial | R | false | false | 2,982 | r | ######### Binomal Power Analysis of AUV Data #######
library(stringr)
library(dplyr)
library(tidyr)
# Clear memory ----
rm(list=ls())
# Set working directory ####
#w.dir<-dirname(rstudioapi::getActiveDocumentContext()$path)
w.dir <- "~/PA_Binomial"
w.dir
# Set data directory - to read the data from
#setwd(paste(w.d... |
# Rutina para expandir un archivo con datos almacenados en forma de frecuencias
datos <- data.frame(fumador=c(1,1,2,2,1,1,2,2),
enfcard=c(rep(c(1,0),4)),
sexo=c(rep(1,4), rep(2,4)),
frecuencia=c(150,900,75,950,100,850,50,925))
head(datos)
datos.expanded <- dat... | /expandirdataframe.R | no_license | jrlacalle/material_docente | R | false | false | 555 | r | # Rutina para expandir un archivo con datos almacenados en forma de frecuencias
datos <- data.frame(fumador=c(1,1,2,2,1,1,2,2),
enfcard=c(rep(c(1,0),4)),
sexo=c(rep(1,4), rep(2,4)),
frecuencia=c(150,900,75,950,100,850,50,925))
head(datos)
datos.expanded <- dat... |
library(magrittr) # para usar el operador %in%
library(stringr) # para usar str_sub
### Primero le quitamos a los datos la info privada
datos <- read.csv("VoluntariosEstados19s.csv")
### Vamos a inventar una funcion que nos deje la lada pero que quite el telefono
sacalada <- function(telnumer){
result <- str_sub... | /R/R para emergencias/PruebaT01.r | no_license | kzapfe/AprendiendoComputoLibre | R | false | false | 3,471 | r | library(magrittr) # para usar el operador %in%
library(stringr) # para usar str_sub
### Primero le quitamos a los datos la info privada
datos <- read.csv("VoluntariosEstados19s.csv")
### Vamos a inventar una funcion que nos deje la lada pero que quite el telefono
sacalada <- function(telnumer){
result <- str_sub... |
# Applied Linear Regression, Third edition
# Chapter 12 Logistic Regression
# October 14, 2004; revised January 2011 for alr3 Version 2.0, R only
require(alr3)
################################################################
# Balsam fir blowdown
# blowBF
# page 255
m1 <- glm(y ~ logb(D, 2), family=binom... | /ALR3_Book/Chapter12_Logistic Regression.R | no_license | PyRPy/ML_Py_Templates | R | false | false | 5,381 | r | # Applied Linear Regression, Third edition
# Chapter 12 Logistic Regression
# October 14, 2004; revised January 2011 for alr3 Version 2.0, R only
require(alr3)
################################################################
# Balsam fir blowdown
# blowBF
# page 255
m1 <- glm(y ~ logb(D, 2), family=binom... |
power <- read.table("household_power_consumption.txt", sep=";", header = TRUE, fill = FALSE, strip.white=TRUE, stringsAsFactors=FALSE)
power$DateTime <- strptime( paste( power$Date, power$Time ), format="%d/%m/%Y %H:%M:%S" )
power$Date <- as.Date( power$Date, format="%d/%m/%Y" )
power <- subset( power, power$Date >= ... | /plot3.R | no_license | xaibeing/ExData_Plotting1 | R | false | false | 1,166 | r |
power <- read.table("household_power_consumption.txt", sep=";", header = TRUE, fill = FALSE, strip.white=TRUE, stringsAsFactors=FALSE)
power$DateTime <- strptime( paste( power$Date, power$Time ), format="%d/%m/%Y %H:%M:%S" )
power$Date <- as.Date( power$Date, format="%d/%m/%Y" )
power <- subset( power, power$Date >= ... |
cutltraj <- function(ltraj, criterion, value.NA = FALSE,
nextr = TRUE, ...)
{
if (!inherits(ltraj, "ltraj"))
stop("ltraj should be of class \"ltraj\"")
infol <- infolocs(ltraj)
res <- list()
k <- 1
for (i in 1:length(ltraj)) {
if (!is.null(infol)) {
... | /adehabitatLT/R/cutltraj.r | no_license | ingted/R-Examples | R | false | false | 2,455 | r |
cutltraj <- function(ltraj, criterion, value.NA = FALSE,
nextr = TRUE, ...)
{
if (!inherits(ltraj, "ltraj"))
stop("ltraj should be of class \"ltraj\"")
infol <- infolocs(ltraj)
res <- list()
k <- 1
for (i in 1:length(ltraj)) {
if (!is.null(infol)) {
... |
# set the file address:
#setwd("/Users/obadiah/dialoguesystems")
mydata <- read.csv("a.csv", header=TRUE, sep=",")
# putting the number of words per utterance into a list for Speaker1 and Speaker2
Speaker1Counts <- subset(mydata, Speaker==1)$Counts
Speaker2Counts <- subset(mydata, Speaker==2)$Counts
# Median valu... | /hw2_R.R | no_license | mitchellirvin/dialoguesystems | R | false | false | 1,817 | r | # set the file address:
#setwd("/Users/obadiah/dialoguesystems")
mydata <- read.csv("a.csv", header=TRUE, sep=",")
# putting the number of words per utterance into a list for Speaker1 and Speaker2
Speaker1Counts <- subset(mydata, Speaker==1)$Counts
Speaker2Counts <- subset(mydata, Speaker==2)$Counts
# Median valu... |
#' DHS data is delivered in .zip files and the names of these zip files
#' usually (but not always) encode the survey code (country, round, and
#' release). These scheme means that at the listing stage the contents
#' can not be easily renamed althought _we_ assume case-ignorant naming
#' and later convert all names ... | /R/index.R | no_license | sakrejda/pdhs | R | false | false | 4,093 | r |
#' DHS data is delivered in .zip files and the names of these zip files
#' usually (but not always) encode the survey code (country, round, and
#' release). These scheme means that at the listing stage the contents
#' can not be easily renamed althought _we_ assume case-ignorant naming
#' and later convert all names ... |
#LIBRERIAS
library(psych)
library(tidyverse)
library(ggplot2)
library(ggpubr)
library(nortest)
library(plotly)
library(htmlwidgets)
library(Hmisc)
library(ggcorrplot)
library(stargazer)
#DATA
da <- DATA
names(da)
IB <- select(da, IB1:IB14)
IB
#DESCRIPTIVOS
desc <- as.data.frame(psych::descr... | /plots.R | permissive | AngelGarciaODiana/R | R | false | false | 2,590 | r | #LIBRERIAS
library(psych)
library(tidyverse)
library(ggplot2)
library(ggpubr)
library(nortest)
library(plotly)
library(htmlwidgets)
library(Hmisc)
library(ggcorrplot)
library(stargazer)
#DATA
da <- DATA
names(da)
IB <- select(da, IB1:IB14)
IB
#DESCRIPTIVOS
desc <- as.data.frame(psych::descr... |
library(highcharter)
suppressPackageStartupMessages(library(dplyr))
suppressPackageStartupMessages(library(purrr))
n <- 10
hc <- highchart() %>%
hc_add_series(data = rnorm(n), name = "s1", id = "g1") %>%
hc_add_series(data = rnorm(n), name = "s2", id = "g2")
hc
series <- data_frame(
name = pa... | /devscripts/highcharter-issues-121.R | no_license | APKBridget/highcharter | R | false | false | 511 | r | library(highcharter)
suppressPackageStartupMessages(library(dplyr))
suppressPackageStartupMessages(library(purrr))
n <- 10
hc <- highchart() %>%
hc_add_series(data = rnorm(n), name = "s1", id = "g1") %>%
hc_add_series(data = rnorm(n), name = "s2", id = "g2")
hc
series <- data_frame(
name = pa... |
testlist <- list(end = NULL, start = NULL, x = structure(c(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(9L, 3L)), segment_end = structure(0, .Dim = c(1L, 1L)), segment_start = structure(0, .Dim = c(1L, 1L)))
result <- do.call(dynutils::project_to_segments,testlist)
str(r... | /dynutils/inst/testfiles/project_to_segments/AFL_project_to_segments/project_to_segments_valgrind_files/1609871889-test.R | no_license | akhikolla/updated-only-Issues | R | false | false | 326 | r | testlist <- list(end = NULL, start = NULL, x = structure(c(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(9L, 3L)), segment_end = structure(0, .Dim = c(1L, 1L)), segment_start = structure(0, .Dim = c(1L, 1L)))
result <- do.call(dynutils::project_to_segments,testlist)
str(r... |
library(rhandsontable)
shinyServer(function(input, output, session) {
fname = tempfile()
observe({
# remove button and isolate to update file automatically
# after each table change
input$saveBtn
hot = isolate(input$hot)
if (!is.null(hot)) {
write.csv(hot, fname)
print(fname)
}... | /inst/examples/rhandsontable_datafile/server.R | permissive | P01010000/rhandsontable | R | false | false | 600 | r | library(rhandsontable)
shinyServer(function(input, output, session) {
fname = tempfile()
observe({
# remove button and isolate to update file automatically
# after each table change
input$saveBtn
hot = isolate(input$hot)
if (!is.null(hot)) {
write.csv(hot, fname)
print(fname)
}... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/inference_optimhelp.R
\name{evaluate_logpostpdf}
\alias{evaluate_logpostpdf}
\title{Evaluate posterior density function}
\usage{
evaluate_logpostpdf(map, zprior, U, obs, zref)
}
\arguments{
\item{map}{Mapping object. Usually a compound map, s... | /man/evaluate_logpostpdf.Rd | permissive | gschnabel/nucdataBaynet | R | false | true | 1,266 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/inference_optimhelp.R
\name{evaluate_logpostpdf}
\alias{evaluate_logpostpdf}
\title{Evaluate posterior density function}
\usage{
evaluate_logpostpdf(map, zprior, U, obs, zref)
}
\arguments{
\item{map}{Mapping object. Usually a compound map, s... |
library(tidyverse)
library(dasper)
library(foreach)
library(doParallel)
# Load data ---------------------------------------------------------------
load("/home/dzhang/projects/RNA_seq_diag_mito/results/tidy_samp_metadata/mito_samp_metadata_tidy.rda")
ref <- dasper:::.ref_load(ref = "/data/references/ensembl/gtf_gff3... | /scripts/aberrant_expression/1_get_gene_count_RSE.R | no_license | dzhang32/ATG7_RNAseq | R | false | false | 4,571 | r | library(tidyverse)
library(dasper)
library(foreach)
library(doParallel)
# Load data ---------------------------------------------------------------
load("/home/dzhang/projects/RNA_seq_diag_mito/results/tidy_samp_metadata/mito_samp_metadata_tidy.rda")
ref <- dasper:::.ref_load(ref = "/data/references/ensembl/gtf_gff3... |
# The cleaned script can be found in Datasets/clean/prescriber-info-categorical-cleaned.csv
# This script is designated to provide a CSV which we can use for modeling
# The data cleaning done:
# Remove all categorical variables, ie State, Gender, etc.
# Remove all opiates.
# Select the top 10 most frequently prescrib... | /Datasets/cleaning scripts/cleanPrescribersCategorical.R | no_license | lilwizeguy/COEN-281-Final-Project | R | false | false | 2,282 | r | # The cleaned script can be found in Datasets/clean/prescriber-info-categorical-cleaned.csv
# This script is designated to provide a CSV which we can use for modeling
# The data cleaning done:
# Remove all categorical variables, ie State, Gender, etc.
# Remove all opiates.
# Select the top 10 most frequently prescrib... |
\name{calcBgGD}
\alias{calcBgGD}
%- Also NEED an "\alias" for EACH other topic documented here.
\title{
Calculate Biogas Production from Gas Density Data (GD-BMP)
}
\description{
\code{calcBgGD} (for \emph{calc}ulate \emph{b}io\emph{g}as from \emph{GD} (gas density) measurements) calculates cumulative biogas, metha... | /man/calcBgGD.Rd | no_license | sashahafner/biogas | R | false | false | 9,821 | rd | \name{calcBgGD}
\alias{calcBgGD}
%- Also NEED an "\alias" for EACH other topic documented here.
\title{
Calculate Biogas Production from Gas Density Data (GD-BMP)
}
\description{
\code{calcBgGD} (for \emph{calc}ulate \emph{b}io\emph{g}as from \emph{GD} (gas density) measurements) calculates cumulative biogas, metha... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/cfbd_games.R
\name{cfbd_game_info}
\alias{cfbd_game_info}
\title{\strong{Get results information from games.}}
\usage{
cfbd_game_info(
year,
week = NULL,
season_type = "regular",
team = NULL,
home_team = NULL,
away_team = NULL,
... | /man/cfbd_game_info.Rd | permissive | Engy-22/cfbfastR | R | false | true | 3,743 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/cfbd_games.R
\name{cfbd_game_info}
\alias{cfbd_game_info}
\title{\strong{Get results information from games.}}
\usage{
cfbd_game_info(
year,
week = NULL,
season_type = "regular",
team = NULL,
home_team = NULL,
away_team = NULL,
... |
#Figures going into Thesis
#Top-down experiment, Bottom-up experiment, and regional results
#load libraries
library(RgoogleMaps)
library(maps)
#source documents where data files are contained
source("archived_scripts/Tara_thesis/ExclosureAnalysis_Summer2016.R") #Triangle exclosures (top-down)
source("archived_script... | /archived_scripts/Tara_thesis/thesisfigures_tm.R | no_license | hurlbertlab/caterpillars-count-analysis | R | false | false | 9,205 | r | #Figures going into Thesis
#Top-down experiment, Bottom-up experiment, and regional results
#load libraries
library(RgoogleMaps)
library(maps)
#source documents where data files are contained
source("archived_scripts/Tara_thesis/ExclosureAnalysis_Summer2016.R") #Triangle exclosures (top-down)
source("archived_script... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/apprunner_operations.R
\name{apprunner_describe_custom_domains}
\alias{apprunner_describe_custom_domains}
\title{Return a description of custom domain names that are associated with an
App Runner service}
\usage{
apprunner_describe_custom_dom... | /cran/paws.compute/man/apprunner_describe_custom_domains.Rd | permissive | paws-r/paws | R | false | true | 1,338 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/apprunner_operations.R
\name{apprunner_describe_custom_domains}
\alias{apprunner_describe_custom_domains}
\title{Return a description of custom domain names that are associated with an
App Runner service}
\usage{
apprunner_describe_custom_dom... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/functions.R
\name{read_from_fukan}
\alias{read_from_fukan}
\title{Read files generated in Fukan System.}
\usage{
read_from_fukan(path_to_file)
}
\arguments{
\item{path_to_file}{The full path of the file you want to open}
}
\description{
This ... | /man/read_from_fukan.Rd | no_license | cristianmejia00/Opener5 | R | false | true | 503 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/functions.R
\name{read_from_fukan}
\alias{read_from_fukan}
\title{Read files generated in Fukan System.}
\usage{
read_from_fukan(path_to_file)
}
\arguments{
\item{path_to_file}{The full path of the file you want to open}
}
\description{
This ... |
source("./packages.R")
lapply(list.files(here::here("./R"), full.names = TRUE), source)
library(knitrProgressBar)
all_mzml_files <- dir("/mlab/data/archives/FTMS_raw/CESB/mzml_data", recursive = TRUE, full.names = TRUE, pattern = "mzML$")
names(all_mzml_files) = gsub(".mzML$", "", basename(all_mzml_files))
all_zip_fil... | /lungcancer_all/msnbase_peakset.R | no_license | MoseleyBioinformaticsLab/manuscript.peakCharacterization | R | false | false | 931 | r | source("./packages.R")
lapply(list.files(here::here("./R"), full.names = TRUE), source)
library(knitrProgressBar)
all_mzml_files <- dir("/mlab/data/archives/FTMS_raw/CESB/mzml_data", recursive = TRUE, full.names = TRUE, pattern = "mzML$")
names(all_mzml_files) = gsub(".mzML$", "", basename(all_mzml_files))
all_zip_fil... |
#' @title Create a classification, regression, survival, cluster, cost-sensitive classification or
#' multilabel task.
#'
#' @description
#' The task encapsulates the data and specifies - through its subclasses -
#' the type of the task.
#' It also contains a description object detailing further aspects of the data.
#'... | /R/Task.R | no_license | pherephobia/mlr | R | false | false | 7,728 | r | #' @title Create a classification, regression, survival, cluster, cost-sensitive classification or
#' multilabel task.
#'
#' @description
#' The task encapsulates the data and specifies - through its subclasses -
#' the type of the task.
#' It also contains a description object detailing further aspects of the data.
#'... |
library(e1071)
make_svm_plot_2d <- function(data, C){
svmfit <- svm(y ~.,
data=data,
scale=FALSE,
type='C-classification',
shrinking=FALSE,
kernel='linear',
cost=C)
# get svm direction
svm_... | /notes/more_classification/svm_fun.R | no_license | francestong/stor390 | R | false | false | 3,082 | r | library(e1071)
make_svm_plot_2d <- function(data, C){
svmfit <- svm(y ~.,
data=data,
scale=FALSE,
type='C-classification',
shrinking=FALSE,
kernel='linear',
cost=C)
# get svm direction
svm_... |
library(fDMA)
### Name: print.altf2
### Title: Prints 'altf2' Object.
### Aliases: print.altf2
### ** Examples
## Not run:
##D wti <- crudeoil[-1,1]
##D drivers <- (lag(crudeoil[,-1],k=1))[-1,]
##D a <- altf2(y=wti,x=drivers)
##D
##D print(a)
## End(Not run)
| /data/genthat_extracted_code/fDMA/examples/print.altf2.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 268 | r | library(fDMA)
### Name: print.altf2
### Title: Prints 'altf2' Object.
### Aliases: print.altf2
### ** Examples
## Not run:
##D wti <- crudeoil[-1,1]
##D drivers <- (lag(crudeoil[,-1],k=1))[-1,]
##D a <- altf2(y=wti,x=drivers)
##D
##D print(a)
## End(Not run)
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/pickerOptions.R
\name{pickerOptions}
\alias{pickerOptions}
\title{Options for `pickerInput`}
\usage{
pickerOptions(actionsBox = NULL, container = NULL,
countSelectedText = NULL, deselectAllText = NULL,
dropdownAlignRight = NULL, dropupAut... | /man/pickerOptions.Rd | permissive | jcheng5/shinyWidgets | R | false | true | 8,626 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/pickerOptions.R
\name{pickerOptions}
\alias{pickerOptions}
\title{Options for `pickerInput`}
\usage{
pickerOptions(actionsBox = NULL, container = NULL,
countSelectedText = NULL, deselectAllText = NULL,
dropdownAlignRight = NULL, dropupAut... |
# Load libraries ----------------------------------------------------------
library("RSQLite")
library("lubridate")
library("plyr")
library("dplyr")
library("ggplot2")
# Data exploration --------------------------------------------------------
# Connect to db
con <- dbConnect(drv="SQLite", "scrape/parkingTickets.db... | /explore/explore.R | no_license | jonnybaik/vancouver_parking_tickets | R | false | false | 1,549 | r |
# Load libraries ----------------------------------------------------------
library("RSQLite")
library("lubridate")
library("plyr")
library("dplyr")
library("ggplot2")
# Data exploration --------------------------------------------------------
# Connect to db
con <- dbConnect(drv="SQLite", "scrape/parkingTickets.db... |
.put.veg.module <- function(getveg.id, bety,
input_veg, pfts,
outfolder,
dir, machine, model,
start_date, end_date,
new_site,
host, overwrite){
... | /modules/data.land/R/put.veg.module.R | permissive | serbinsh/pecan | R | false | false | 2,384 | r | .put.veg.module <- function(getveg.id, bety,
input_veg, pfts,
outfolder,
dir, machine, model,
start_date, end_date,
new_site,
host, overwrite){
... |
#' Performs linear regression.
#'
#' This is truly a great and much-needed function
#'
#' @param Y vector of outcomes.
#' @param covData list of subjects (data corresponding to covariates)
#' @return Coefficients \code{coeff} and p-values \code{pval}.
#' @export
#' @examples
#' myLinearRegression(y,covData)
myLinearR... | /R/myLinearRegression.R | no_license | himanshu11305/LR | R | false | false | 747 | r | #' Performs linear regression.
#'
#' This is truly a great and much-needed function
#'
#' @param Y vector of outcomes.
#' @param covData list of subjects (data corresponding to covariates)
#' @return Coefficients \code{coeff} and p-values \code{pval}.
#' @export
#' @examples
#' myLinearRegression(y,covData)
myLinearR... |
rc<-ranicafe$Coffees
weight<-(1/length(rc))
sum(rc*weight)
mean(rc)
rc<-c(rc, NA)
tail(rc, n=5)
mean(rc)
mean(rc, na.rm=TRUE) | /Chapter02/source/2_5.R | no_license | qlrepdlxj/R | R | false | false | 126 | r | rc<-ranicafe$Coffees
weight<-(1/length(rc))
sum(rc*weight)
mean(rc)
rc<-c(rc, NA)
tail(rc, n=5)
mean(rc)
mean(rc, na.rm=TRUE) |
library(data.tree)
mydata = read.table("mushrooms.csv", header=TRUE, sep=",")
calEntropy = function(dataset){
posits = sum(dataset[,"class"] == "e")
negs = sum(dataset[,"class"] == "p")
t = posits + negs
if (posits == 0){
entropy = (-(negs/t)*log2(negs/t))
}
else if (negs == 0){
entropy = (-(posits... | /ProjectDT.R | no_license | manism63/DecisionTree | R | false | false | 6,458 | r | library(data.tree)
mydata = read.table("mushrooms.csv", header=TRUE, sep=",")
calEntropy = function(dataset){
posits = sum(dataset[,"class"] == "e")
negs = sum(dataset[,"class"] == "p")
t = posits + negs
if (posits == 0){
entropy = (-(negs/t)*log2(negs/t))
}
else if (negs == 0){
entropy = (-(posits... |
#logging
log <- file(snakemake@log[[1]], open="wt")
sink(log, append=TRUE)
sink(log, append=TRUE, type="message")
# Restore output to console
#sink()
#sink(type="message")
#backup R-based installation if conda didn't work or wasn't used
#we check if packages are installed first
#fix for: libicui18n.so.68: cannot op... | /workflow/scripts/expansion.R | permissive | tgstoecker/A2TEA.Workflow | R | false | false | 30,567 | r | #logging
log <- file(snakemake@log[[1]], open="wt")
sink(log, append=TRUE)
sink(log, append=TRUE, type="message")
# Restore output to console
#sink()
#sink(type="message")
#backup R-based installation if conda didn't work or wasn't used
#we check if packages are installed first
#fix for: libicui18n.so.68: cannot op... |
Sparse.Feature <-
function(test_seq){
if(class(test_seq)!="DNAStringSet"){stop("The dataset must be of class DNAStringSet")}
if(length(unique(width(test_seq)))>1){stop("Each sequence must of equal length")}
zz <- as.character(as.character(test_seq))
#########################################################sparse... | /R/Sparse.Feature.R | no_license | cran/EncDNA | R | false | false | 846 | r | Sparse.Feature <-
function(test_seq){
if(class(test_seq)!="DNAStringSet"){stop("The dataset must be of class DNAStringSet")}
if(length(unique(width(test_seq)))>1){stop("Each sequence must of equal length")}
zz <- as.character(as.character(test_seq))
#########################################################sparse... |
now <- Sys.Date()
mode(now)
class(now)
"as.Date"
as.Date("2010-12-31")
as.Date("12/31/2010", format="%m/%d/%Y")
"to str"
format(Sys.Date())
as.character(Sys.Date())
format(Sys.Date(), format="%m/%d/%Y")
"help strftime"
# help(strftime)
# %b Abbreviated month name (“Jan”)
# %B Full month name (“January”)
# %d Day as ... | /R/R_cookbook/strings_dates/date_example.R | no_license | RobLeggett/codes | R | false | false | 920 | r | now <- Sys.Date()
mode(now)
class(now)
"as.Date"
as.Date("2010-12-31")
as.Date("12/31/2010", format="%m/%d/%Y")
"to str"
format(Sys.Date())
as.character(Sys.Date())
format(Sys.Date(), format="%m/%d/%Y")
"help strftime"
# help(strftime)
# %b Abbreviated month name (“Jan”)
# %B Full month name (“January”)
# %d Day as ... |
library("matrixStats")
library("stats")
asWhich <- function(probs, max) {
idx <- as.integer(round(probs * max))
if (idx < 1L) {
idx <- 1L
} else if (idx > max) {
idx <- max
}
idx
} # asWhich()
rowOrderStats_R <- function(x, probs, ..., useNames = NA) {
ans <- apply(x, MARGIN = 1L, FUN = quantile, ... | /tests/rowOrderStats.R | no_license | HenrikBengtsson/matrixStats | R | false | false | 2,336 | r | library("matrixStats")
library("stats")
asWhich <- function(probs, max) {
idx <- as.integer(round(probs * max))
if (idx < 1L) {
idx <- 1L
} else if (idx > max) {
idx <- max
}
idx
} # asWhich()
rowOrderStats_R <- function(x, probs, ..., useNames = NA) {
ans <- apply(x, MARGIN = 1L, FUN = quantile, ... |
install.packages("tm") #텍스트 마이닝을 위한 패키지
install.packages("slam")
#install.packages("dplyr")
#install.packages("readr") #파일을 읽어오기 위한 패키지
library(tm)
library(slam)
library(dplyr)
library(NLP4kec)
library(readr)
# 1. 원문 데이터 및 사전 불러오기 ---------------------------------------------------------------------------------------... | /HDC_textmining_project/script/day1/1.2_text_handling.R | no_license | NamyounKim/RWork | R | false | false | 4,936 | r | install.packages("tm") #텍스트 마이닝을 위한 패키지
install.packages("slam")
#install.packages("dplyr")
#install.packages("readr") #파일을 읽어오기 위한 패키지
library(tm)
library(slam)
library(dplyr)
library(NLP4kec)
library(readr)
# 1. 원문 데이터 및 사전 불러오기 ---------------------------------------------------------------------------------------... |
getItemizeDocs = function(functionName, section, keyword = "arguments", first = FALSE, maxSize = 12) {
wd = getwd()
fileName = paste0(wd, "/man/", functionName, ".Rd")
arguments = readItems(fileName, keyword)
htmlFile = paste0("html/section-", section, "/", functionName, "-", keyword, ".html")
argumentsToHtm... | /R/readArguments.R | no_license | resplab/epicManual | R | false | false | 6,137 | r |
getItemizeDocs = function(functionName, section, keyword = "arguments", first = FALSE, maxSize = 12) {
wd = getwd()
fileName = paste0(wd, "/man/", functionName, ".Rd")
arguments = readItems(fileName, keyword)
htmlFile = paste0("html/section-", section, "/", functionName, "-", keyword, ".html")
argumentsToHtm... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/getBirds.R
\name{getBirds}
\alias{getBirds}
\title{getBirds}
\usage{
getBirds(object, points = NA, AOU = NA, years = NA, min.count = NA,
max.count = NA, band = NA, interval = NA, visits = NA, times = NA,
reps = NA, output = "dataframe")
}... | /man/getBirds.Rd | no_license | joshuaeveleth/NCRNbirds | R | false | true | 2,672 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/getBirds.R
\name{getBirds}
\alias{getBirds}
\title{getBirds}
\usage{
getBirds(object, points = NA, AOU = NA, years = NA, min.count = NA,
max.count = NA, band = NA, interval = NA, visits = NA, times = NA,
reps = NA, output = "dataframe")
}... |
mydata<-read.table("household_power_consumption.txt", sep=";", header=TRUE)
mydata<- mydata[mydata[, "Date"] %in% c("1/2/2007", "2/2/2007"), ]
dateTime<-strptime(paste(mydata$Date, mydata$Time), "%d/%m/%Y %H:%M")
a1<-as.numeric(as.character(mydata$Sub_metering_1))
a2<-as.numeric(as.character(mydata$Sub_metering_2))
a3<... | /plot3.R | no_license | anutikin/ExData_Plotting1 | R | false | false | 706 | r | mydata<-read.table("household_power_consumption.txt", sep=";", header=TRUE)
mydata<- mydata[mydata[, "Date"] %in% c("1/2/2007", "2/2/2007"), ]
dateTime<-strptime(paste(mydata$Date, mydata$Time), "%d/%m/%Y %H:%M")
a1<-as.numeric(as.character(mydata$Sub_metering_1))
a2<-as.numeric(as.character(mydata$Sub_metering_2))
a3<... |
.onLoad <- function(libname, pkgname) {
# Runs when loaded but not attached to search() path; e.g., when a package just Imports (not Depends on) data.table
"Please read FAQ 2.23 (vignette('datatable-faq')) which explains in detail why data.table adds one for loop to the start of base::cbind.data.frame and ... | /R/onLoad.R | no_license | halcyonhui/data.table | R | false | false | 6,310 | r | .onLoad <- function(libname, pkgname) {
# Runs when loaded but not attached to search() path; e.g., when a package just Imports (not Depends on) data.table
"Please read FAQ 2.23 (vignette('datatable-faq')) which explains in detail why data.table adds one for loop to the start of base::cbind.data.frame and ... |
calcBetaStatus <- function(comm,
status,
dis.method,
nulls,
sub= "pol",
occ= FALSE,
years,
zscore=FALSE){ ## calculate zscores?
## computes dispers... | /analysis/variability/src/beta.R | no_license | lponisio/hedgerow_assembly | R | false | false | 1,762 | r |
calcBetaStatus <- function(comm,
status,
dis.method,
nulls,
sub= "pol",
occ= FALSE,
years,
zscore=FALSE){ ## calculate zscores?
## computes dispers... |
\name{CD4sim}
\alias{CD4sim}
\docType{data}
\title{Simulated HIV data
%% ~~ data name/kind ... ~~
}
\description{
%% ~~ A concise (1-5 lines) description of the dataset. ~~
A simulated dataset of HIV patients undergoing treatment. At each timepoint treatment is initiated with increasing probability as CD4 values for... | /man/CD4sim.Rd | no_license | cran/FLIM | R | false | false | 1,086 | rd | \name{CD4sim}
\alias{CD4sim}
\docType{data}
\title{Simulated HIV data
%% ~~ data name/kind ... ~~
}
\description{
%% ~~ A concise (1-5 lines) description of the dataset. ~~
A simulated dataset of HIV patients undergoing treatment. At each timepoint treatment is initiated with increasing probability as CD4 values for... |
library(rstan)
rstan_options(auto_write = TRUE)
options(mc.cores = parallel::detectCores())
chain <- function(K) stan("code.stan", iter = 1000, chains = 1, data = list(K))
zvalues <- function(ch) {
s = summary(ch)$summary
z = s[, "mean"] / (s[, "sd"] / sqrt(s[, "n_eff"]))
z[names(z) != "lp__"]
}
ch0 = chai... | /post/mcmc-z/code.r | no_license | tpapp/tpapp.github.io | R | false | false | 433 | r | library(rstan)
rstan_options(auto_write = TRUE)
options(mc.cores = parallel::detectCores())
chain <- function(K) stan("code.stan", iter = 1000, chains = 1, data = list(K))
zvalues <- function(ch) {
s = summary(ch)$summary
z = s[, "mean"] / (s[, "sd"] / sqrt(s[, "n_eff"]))
z[names(z) != "lp__"]
}
ch0 = chai... |
require(rvest)
require(dplyr)
require(ggplot2)
dog_breeds <- read_html("https://www.olx.ua/zhivotnye/sobaki/q-%D1%81%D0%BE%D0%B1%D0%B0%D0%BA%D0%B0/") %>%
html_node(".toplinks.x-normal") %>%
html_nodes(".topLink.tdnone.parameter") %>%
purrr::map_chr(html_attr, "href") %>%
stringr::str_split(pattern = "/") %>... | /comunalka_dogs.R | no_license | RomanKyrychenko/library | R | false | false | 9,337 | r | require(rvest)
require(dplyr)
require(ggplot2)
dog_breeds <- read_html("https://www.olx.ua/zhivotnye/sobaki/q-%D1%81%D0%BE%D0%B1%D0%B0%D0%BA%D0%B0/") %>%
html_node(".toplinks.x-normal") %>%
html_nodes(".topLink.tdnone.parameter") %>%
purrr::map_chr(html_attr, "href") %>%
stringr::str_split(pattern = "/") %>... |
# Load packages into memory
library(dplyr)
library(ggplot2)
library(statsr)
data(arbuthnot)
arbuthnot
dim(arbuthnot)
names(arbuthnot)
arbuthnot$boys
arbuthnot$girls[1]
ggplot(data = arbuthnot, aes(x = year, y = girls)) +
geom_point()
?ggplot
5218+4683
arbuthnot$boys + arbuthnot$girls... | /Week1/week1.R | no_license | bwbelljr/Intro-Prob-Data | R | false | false | 1,578 | r | # Load packages into memory
library(dplyr)
library(ggplot2)
library(statsr)
data(arbuthnot)
arbuthnot
dim(arbuthnot)
names(arbuthnot)
arbuthnot$boys
arbuthnot$girls[1]
ggplot(data = arbuthnot, aes(x = year, y = girls)) +
geom_point()
?ggplot
5218+4683
arbuthnot$boys + arbuthnot$girls... |
context("test-detect")
data("awtew")
test_that("hs_str_detect is the presence of a pattern", {
expect_equal(hs_str_detect(c("a","b"),"a"), c(T,F))
expect_equal(sum(hs_str_detect(awtew, "[L|l]ord")), 240)
})
test_that("hs_str_detect of factors works", {
expect_equal(hs_str_detect(factor(c("a","b")),"a"), c(T,F))... | /tests/testthat/test-detect.R | no_license | gmcrosh/hypeRscan | R | false | false | 471 | r | context("test-detect")
data("awtew")
test_that("hs_str_detect is the presence of a pattern", {
expect_equal(hs_str_detect(c("a","b"),"a"), c(T,F))
expect_equal(sum(hs_str_detect(awtew, "[L|l]ord")), 240)
})
test_that("hs_str_detect of factors works", {
expect_equal(hs_str_detect(factor(c("a","b")),"a"), c(T,F))... |
# Davies et al. R code defining PWR plot helper functions.
#
# By Jim Regetz (NCEAS)
# simple helper function for rescaling values
rescale <- function(x, lower=NULL, upper=NULL, na.rm=TRUE) {
if (is.null(lower)) {
lower <- min(x, na.rm=na.rm)
}
if (is.null(upper)) {
upper <- max(x, na.rm=na... | /pwr-plots.R | no_license | lizzieinvancouver/pwr | R | false | false | 7,439 | r | # Davies et al. R code defining PWR plot helper functions.
#
# By Jim Regetz (NCEAS)
# simple helper function for rescaling values
rescale <- function(x, lower=NULL, upper=NULL, na.rm=TRUE) {
if (is.null(lower)) {
lower <- min(x, na.rm=na.rm)
}
if (is.null(upper)) {
upper <- max(x, na.rm=na... |
batting<-read.csv('Batting.csv')
print(head(batting))
str(batting)
print(head(batting$AB))
print(head(batting$X2B))
#Creating a new column BA for calculating the batting average
batting$BA <- batting$H/batting$AB
print(tail(batting$BA,5))
batting$OBP <- (batting$H+batting$BB+batting$HBP)/(batting$AB+batting$BB+batt... | /Money_Ball_Project.R | no_license | aswin19031997/PractiseProjects | R | false | false | 2,014 | r | batting<-read.csv('Batting.csv')
print(head(batting))
str(batting)
print(head(batting$AB))
print(head(batting$X2B))
#Creating a new column BA for calculating the batting average
batting$BA <- batting$H/batting$AB
print(tail(batting$BA,5))
batting$OBP <- (batting$H+batting$BB+batting$HBP)/(batting$AB+batting$BB+batt... |
#' Invoke a Data Viewer
#'
#' Invoke a spreadsheet-style data viewer on a matrix-like \code{R} object.
#'
#' @param x an \code{R} object that can be forecd to a character representation
#'of a data frame.
#' @param title the title for the viewer window. Defaults to the name of \code{x}.
#' @return Invisibly returns \... | /R/View.r | permissive | Zhenglei-BCS/smwrQW | R | false | false | 826 | r | #' Invoke a Data Viewer
#'
#' Invoke a spreadsheet-style data viewer on a matrix-like \code{R} object.
#'
#' @param x an \code{R} object that can be forecd to a character representation
#'of a data frame.
#' @param title the title for the viewer window. Defaults to the name of \code{x}.
#' @return Invisibly returns \... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data_documentation.R
\docType{data}
\name{math}
\alias{math}
\title{Math Achievement Dataset}
\format{A data frame with xx rows and 6 variables:
\describe{
\item{School}{Which school the subject attends}
\item{Minority}{description}
\it... | /man/math.Rd | no_license | jcberny/flexplot | R | false | true | 603 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data_documentation.R
\docType{data}
\name{math}
\alias{math}
\title{Math Achievement Dataset}
\format{A data frame with xx rows and 6 variables:
\describe{
\item{School}{Which school the subject attends}
\item{Minority}{description}
\it... |
makeCacheMatrix <- function(x = matrix()) { # Change numeric to matrix
m <- NULL
set <- function(y) {
x <<- y
m <<- NULL
}
get <- function() x
setInverse <- function(solve) m <<- solve # Change mean to solve
getInverse <- function() m
list(set = set, get = get,
set... | /Test_makeCacheMatrix.R | no_license | Banelin/ProgrammingAssignment2 | R | false | false | 440 | r | makeCacheMatrix <- function(x = matrix()) { # Change numeric to matrix
m <- NULL
set <- function(y) {
x <<- y
m <<- NULL
}
get <- function() x
setInverse <- function(solve) m <<- solve # Change mean to solve
getInverse <- function() m
list(set = set, get = get,
set... |
#' Hover Plot
#'
#' @param database the database containing musical data you want to analyze. We suggest the billboard::spotify_track_data
#' @param year_col a column of your df containing the years
#' @param filtered_year a string, the year you want to look at
#' @param x_axis a column of your df, the first dimension ... | /working_files/removed_functions_frompkg/plots.R | no_license | meakulpa/rubasic | R | false | false | 3,860 | r | #' Hover Plot
#'
#' @param database the database containing musical data you want to analyze. We suggest the billboard::spotify_track_data
#' @param year_col a column of your df containing the years
#' @param filtered_year a string, the year you want to look at
#' @param x_axis a column of your df, the first dimension ... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/charToRaw.R
\name{charToRaw}
\alias{charToRaw}
\title{fun_name}
\usage{
charToRaw(params)
}
\arguments{
\item{param}{fun_name}
}
\description{
kolejna funkcja podmieniona
}
| /man/charToRaw.Rd | no_license | granatb/RapeR | R | false | true | 251 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/charToRaw.R
\name{charToRaw}
\alias{charToRaw}
\title{fun_name}
\usage{
charToRaw(params)
}
\arguments{
\item{param}{fun_name}
}
\description{
kolejna funkcja podmieniona
}
|
# data will be generated from tau1=tau^2, tau2=tau^2/2, and tau3=tau^2/4
library(parallel)
simRep <- 5000 # Replication times in one simulation
pvalue.true <- .05 # Testing type I error
b.var <- c(0) # The set of varaince of random covariates b as random slope
smooth <- 1 # measurement error is added to M if smooth = ... | /full simulation/summer/size/seed1/seed1_new/test_highorder/test_usingpaper_s_2020.R | no_license | wma9/FMRI-project | R | false | false | 10,539 | r | # data will be generated from tau1=tau^2, tau2=tau^2/2, and tau3=tau^2/4
library(parallel)
simRep <- 5000 # Replication times in one simulation
pvalue.true <- .05 # Testing type I error
b.var <- c(0) # The set of varaince of random covariates b as random slope
smooth <- 1 # measurement error is added to M if smooth = ... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/measures_multiclass.R
\name{WKAPPA}
\alias{WKAPPA}
\title{Mean quadratic weighted kappa}
\usage{
WKAPPA(truth, response)
}
\arguments{
\item{truth}{vector of true values}
\item{response}{vector of predicted values}
}
\description{
Defined as... | /man/WKAPPA.Rd | no_license | pdwaggoner/measures | R | false | true | 473 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/measures_multiclass.R
\name{WKAPPA}
\alias{WKAPPA}
\title{Mean quadratic weighted kappa}
\usage{
WKAPPA(truth, response)
}
\arguments{
\item{truth}{vector of true values}
\item{response}{vector of predicted values}
}
\description{
Defined as... |
# folder creation for NIR iterative predictions
root<- "/datasets/work/af-tern-mal-deb/work/projects/ternlandscapes_2019/soilColour/spatialPredictions/tiles/"
fols<- as.numeric(list.files(root, full.names = FALSE))
length(fols)
fols<- fols[order(fols)]
fols
for (i in 1:length(fols)){
#make path
se.fol<- fols... | /Production/DSM/SoilColour/tile_folder_creation.R | permissive | AusSoilsDSM/SLGA | R | false | false | 409 | r | # folder creation for NIR iterative predictions
root<- "/datasets/work/af-tern-mal-deb/work/projects/ternlandscapes_2019/soilColour/spatialPredictions/tiles/"
fols<- as.numeric(list.files(root, full.names = FALSE))
length(fols)
fols<- fols[order(fols)]
fols
for (i in 1:length(fols)){
#make path
se.fol<- fols... |
visualize_cluster = function(gff, cluster, transcript_name){
require("stringr"); require("rtracklayer"); require("GenomicRanges")
gr = import.gff(gff)
gr_exon = gr[gr$type=="exon"]
gr_exon = gr_exon[which(gr_exon$transcript_id %in% transcript_name)]
gr_list_input = split(gr_exon, gr_exon$transcript_id)
isof... | /DailyLogProgress/visualize_cluster_2:20.R | permissive | DennisWangJAX/AlternativeSplicingPacBio | R | false | false | 2,717 | r | visualize_cluster = function(gff, cluster, transcript_name){
require("stringr"); require("rtracklayer"); require("GenomicRanges")
gr = import.gff(gff)
gr_exon = gr[gr$type=="exon"]
gr_exon = gr_exon[which(gr_exon$transcript_id %in% transcript_name)]
gr_list_input = split(gr_exon, gr_exon$transcript_id)
isof... |
#!/usr/bin/env Rscript
argv <- commandArgs(trailingOnly = TRUE)
options(stringsAsFactors = FALSE)
source('Util.R')
if(length(argv) != 6) {
q()
}
ld.idx <- as.integer(argv[1]) # e.g., ld.idx = 133
qtl.file <- argv[2] # e.g., qtl.file = 'cis-eqtl/geuvadis/133_qtl.txt.gz'
geno.dir <- ... | /make.cammel-ptsd_ea.R | no_license | YPARK/cammel-gwas | R | false | false | 5,718 | r | #!/usr/bin/env Rscript
argv <- commandArgs(trailingOnly = TRUE)
options(stringsAsFactors = FALSE)
source('Util.R')
if(length(argv) != 6) {
q()
}
ld.idx <- as.integer(argv[1]) # e.g., ld.idx = 133
qtl.file <- argv[2] # e.g., qtl.file = 'cis-eqtl/geuvadis/133_qtl.txt.gz'
geno.dir <- ... |
library(EpiModelHIV)
orig <- readRDS("out/est/netest.rds")
netstats <- readRDS("out/est/netstats.rds")
epistats <- readRDS("out/est/epistats.rds")
full_tx_eff <- rep(1, 3)
param <- param_msm(
netstats = netstats,
epistats = epistats,
hiv.test.rate = c(0.00385, 0.00385, 0.0069),
hiv.test.late.prob = rep(0, 3)... | /R/utils-sim_calib_params.R | permissive | EpiModel/injectable-prep | R | false | false | 2,056 | r | library(EpiModelHIV)
orig <- readRDS("out/est/netest.rds")
netstats <- readRDS("out/est/netstats.rds")
epistats <- readRDS("out/est/epistats.rds")
full_tx_eff <- rep(1, 3)
param <- param_msm(
netstats = netstats,
epistats = epistats,
hiv.test.rate = c(0.00385, 0.00385, 0.0069),
hiv.test.late.prob = rep(0, 3)... |
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