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{FreqSurv_HReg}
\alias{FreqSurv_HReg}
%- Also NEED an '\alias' for EACH other topic documented here.
\title{
The function to fit parametric Weibull models for the frequentist analysis of univariate survival data.
}
\description{
Independent univariate right-censored survival data can be analyzed using hierarchical... | /man/FreqSurv_HReg.Rd | no_license | csetraynor/SemiCompRisks | R | false | false | 2,427 | rd | \name{FreqSurv_HReg}
\alias{FreqSurv_HReg}
%- Also NEED an '\alias' for EACH other topic documented here.
\title{
The function to fit parametric Weibull models for the frequentist analysis of univariate survival data.
}
\description{
Independent univariate right-censored survival data can be analyzed using hierarchical... |
library(beadarrayMSV)
### Name: findPolyploidClusters
### Title: K-means clustering
### Aliases: findPolyploidClusters
### ** Examples
## Not run:
##D #Read pre-processed data directly into AlleleSetIllumina object
##D rPath <- system.file("extdata", package="beadarrayMSV")
##D normOpts <- setNormOptions()
##D dat... | /data/genthat_extracted_code/beadarrayMSV/examples/findPolyploidClusters.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 1,423 | r | library(beadarrayMSV)
### Name: findPolyploidClusters
### Title: K-means clustering
### Aliases: findPolyploidClusters
### ** Examples
## Not run:
##D #Read pre-processed data directly into AlleleSetIllumina object
##D rPath <- system.file("extdata", package="beadarrayMSV")
##D normOpts <- setNormOptions()
##D dat... |
AAmap <- read.table("AAmap.chr1.txt", header=TRUE)
#calculating cM/Mb by dividing the difference in cM divided by difference in Mb
#between current and next row
cM <- (AAmap$Genetic_Map.cM.[-1] - AAmap$Genetic_Map.cM.)
Mb <- ((AAmap$Physical_Position_Build36.hg18.[-1] - AAmap$Physical_Position_Build36.hg18.)/1e6)
A... | /SLiM_ratesfiles/calculate_rates.R | no_license | imanhamid/misc_scripts | R | false | false | 351 | r | AAmap <- read.table("AAmap.chr1.txt", header=TRUE)
#calculating cM/Mb by dividing the difference in cM divided by difference in Mb
#between current and next row
cM <- (AAmap$Genetic_Map.cM.[-1] - AAmap$Genetic_Map.cM.)
Mb <- ((AAmap$Physical_Position_Build36.hg18.[-1] - AAmap$Physical_Position_Build36.hg18.)/1e6)
A... |
################################################################################
################################################################################
### SIMPLE VERTICAL MULTIPLE-RESPONSE ###
### BAR CHART ... | /Barcharts/Barchart Multiple Categories Vertical .R | no_license | sicabi/RGraphics | R | false | false | 11,586 | r | ################################################################################
################################################################################
### SIMPLE VERTICAL MULTIPLE-RESPONSE ###
### BAR CHART ... |
# plot2.R
## 1. Load data
### 1.1 Set Data file name and path
path <- "./household_power_consumption.txt"
### 1.2 Read out data
RawData <- read.table(path, header=TRUE, sep=";", na.strings = "?")
### 1.3 Define Subset of data as request
SubsetData <- RawData[RawData$Date %in% c("1/2/2007","2/2/2007"),]
### 1.4 Convert ... | /plot2.R | no_license | Yage0820/ExData_Plotting1 | R | false | false | 688 | r | # plot2.R
## 1. Load data
### 1.1 Set Data file name and path
path <- "./household_power_consumption.txt"
### 1.2 Read out data
RawData <- read.table(path, header=TRUE, sep=";", na.strings = "?")
### 1.3 Define Subset of data as request
SubsetData <- RawData[RawData$Date %in% c("1/2/2007","2/2/2007"),]
### 1.4 Convert ... |
db_get_last_prediction <- function(wt_query, table_cast_results = "CAST_RESULTS", db_config){
# OJO usar comillas simples para encerrar CHAR variables de la BDD.
iam=match.call()[[1]]
type_condition= paste0(" AND `type` = '",tolower(wt_query$type),"'");
if("type" %in% names(wt_query) && wt_query$t... | /functions_common/db_get_last_prediction.R | permissive | alecuba16/SOM_windturbine | R | false | false | 1,112 | r | db_get_last_prediction <- function(wt_query, table_cast_results = "CAST_RESULTS", db_config){
# OJO usar comillas simples para encerrar CHAR variables de la BDD.
iam=match.call()[[1]]
type_condition= paste0(" AND `type` = '",tolower(wt_query$type),"'");
if("type" %in% names(wt_query) && wt_query$t... |
options( java.parameters = "-Xmx4g" )
getwd()
setwd("C:/ProgramExt/WS-R/SnomedCT_TrOWL")
getwd()
pdf("SnomedCT_10_Samples_TrOWL.pdf", width=9) #
## read file
myData <- read.csv("snomed_jan17.owl_10Samples_TrOWL.csv")
## make a plot
plot(AxiomCount ~ msec, ylab="Axiom Count of Sample", xlab="Execution Time of a Sam... | /S.5.2/TrOWL.model.generation/source.code/Reg_AxiomCount - TrOWL.r | no_license | IsaGuclu/ResourceAwareApproach | R | false | false | 1,544 | r | options( java.parameters = "-Xmx4g" )
getwd()
setwd("C:/ProgramExt/WS-R/SnomedCT_TrOWL")
getwd()
pdf("SnomedCT_10_Samples_TrOWL.pdf", width=9) #
## read file
myData <- read.csv("snomed_jan17.owl_10Samples_TrOWL.csv")
## make a plot
plot(AxiomCount ~ msec, ylab="Axiom Count of Sample", xlab="Execution Time of a Sam... |
x = read.table("/home/zabolotsky/abbakumov_r/R_занятие_06_регрессия/03_ts_graphs/wine_Austral.dat", header=T, sep="\t")
print(names(x))
print(head(x))
print(dim(x))
plot(x$sweet, type="l")
par(mfrow=c(1,2))
plot(x$red, type="l")
log_red = log(x$red)
plot(log_red, type="l")
time_ = 1:(168+12)
time_2 = time_^2
month_01 =... | /lec7_3.R | no_license | bognev/abbakumovr | R | false | false | 1,807 | r | x = read.table("/home/zabolotsky/abbakumov_r/R_занятие_06_регрессия/03_ts_graphs/wine_Austral.dat", header=T, sep="\t")
print(names(x))
print(head(x))
print(dim(x))
plot(x$sweet, type="l")
par(mfrow=c(1,2))
plot(x$red, type="l")
log_red = log(x$red)
plot(log_red, type="l")
time_ = 1:(168+12)
time_2 = time_^2
month_01 =... |
library(data.table)
require(ggplot2)
require(grid)
require(gridExtra)
library(RColorBrewer)
source("/home/diogo/workspace/tagc-rainet-RNA/src/fr/tagc/rainet/core/execution/analysis/RBPDomain/Rscripts/r_functions.R")
#inputFile = "/home/diogo/Documents/RAINET_data/TAGC/rainetDatabase/results/ReadCatrapid/Ensembl82/mrn... | /src/fr/tagc/rainet/core/execution/analysis/lncRNA_vs_mRNA/odds_ratio_distribution.R | no_license | diogomribeiro/RAINET | R | false | false | 1,039 | r |
library(data.table)
require(ggplot2)
require(grid)
require(gridExtra)
library(RColorBrewer)
source("/home/diogo/workspace/tagc-rainet-RNA/src/fr/tagc/rainet/core/execution/analysis/RBPDomain/Rscripts/r_functions.R")
#inputFile = "/home/diogo/Documents/RAINET_data/TAGC/rainetDatabase/results/ReadCatrapid/Ensembl82/mrn... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/utilities.R
\name{order_by_slide_and_tissue_category}
\alias{order_by_slide_and_tissue_category}
\title{Order a data frame by slide ID and tissue category, putting the
categories in the given order and the
"Total" category in the proper place... | /man/order_by_slide_and_tissue_category.Rd | permissive | iceberg22/phenoptrReports | R | false | true | 787 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/utilities.R
\name{order_by_slide_and_tissue_category}
\alias{order_by_slide_and_tissue_category}
\title{Order a data frame by slide ID and tissue category, putting the
categories in the given order and the
"Total" category in the proper place... |
#' A local source.
#'
#' This is mainly useful for testing, since makes it possible to refer to
#' local and remote tables using exactly the same syntax.
#'
#' Generally, \code{src_local} should not be called directly, but instead
#' one of the (currently three) constructors should be used.
#'
#' @param tbl name of the... | /dplyr/R/src-local.r | no_license | radfordneal/R-package-mods | R | false | false | 1,905 | r | #' A local source.
#'
#' This is mainly useful for testing, since makes it possible to refer to
#' local and remote tables using exactly the same syntax.
#'
#' Generally, \code{src_local} should not be called directly, but instead
#' one of the (currently three) constructors should be used.
#'
#' @param tbl name of the... |
source("global.R")
###Setting up the dashboard page
dashboardPage(
dashboardHeader(
title = "OHI Global Data Explorer",
titleWidth = 300),
### Dashboard Sidebar
dashboardSidebar(
sidebarMenu(
menuItem("The OHI Story", tabName = "dashboard", icon = icon("globe", lib="glyphicon")),
... | /ui.R | no_license | camilavargasp/global-dashboard | R | false | false | 9,741 | r | source("global.R")
###Setting up the dashboard page
dashboardPage(
dashboardHeader(
title = "OHI Global Data Explorer",
titleWidth = 300),
### Dashboard Sidebar
dashboardSidebar(
sidebarMenu(
menuItem("The OHI Story", tabName = "dashboard", icon = icon("globe", lib="glyphicon")),
... |
data <- read.csv("data/household_power_consumption.txt", sep = ";")
data = read.table("data/household_power_consumption.txt", header = TRUE, sep = ";", na = "?", colClasses = c("character", "character", "numeric", "numeric", "numeric", "numeric", "numeric", "numeric", "numeric"))
data$formatted_date <- strptime(paste(d... | /plot4.R | no_license | misewerin/ExData_Plotting1 | R | false | false | 1,227 | r | data <- read.csv("data/household_power_consumption.txt", sep = ";")
data = read.table("data/household_power_consumption.txt", header = TRUE, sep = ";", na = "?", colClasses = c("character", "character", "numeric", "numeric", "numeric", "numeric", "numeric", "numeric", "numeric"))
data$formatted_date <- strptime(paste(d... |
################################################################################
## R - NLP & Text Mining Project 4
## Analysis of 2014 time frame Elon Musk's Tweets.
################################################################################
############################################################... | /2014_Tweet_Analysis/2014-Elon Musk Tweet Analysis.R | permissive | drdataSpp/Spp-NLP-On-Elon-Musks-Tweets | R | false | false | 7,092 | r | ################################################################################
## R - NLP & Text Mining Project 4
## Analysis of 2014 time frame Elon Musk's Tweets.
################################################################################
############################################################... |
##' @include semiParametric.R survivalModels.R
NULL
##' Method to calculate model restricted means
##' @name calcModelRmst
##' @rdname calcModelRmst-methods
##' @param object (SurvivalModel) A survival model - note there cannot be
##' any covariates and armAsFactor must be FALSE
##' @param ... additional arguments f... | /R/rmst.R | no_license | scientific-computing-solutions/sibyl | R | false | false | 8,338 | r | ##' @include semiParametric.R survivalModels.R
NULL
##' Method to calculate model restricted means
##' @name calcModelRmst
##' @rdname calcModelRmst-methods
##' @param object (SurvivalModel) A survival model - note there cannot be
##' any covariates and armAsFactor must be FALSE
##' @param ... additional arguments f... |
train <- read.csv('~/kaggle/Whale/download/data/train.csv')
w <- train$label
print_bits <- function(w) {
n <- length(w)
bits <- paste(as.character(w[1:(n-2)]),
as.character(w[2:(n-1)]),
as.character(w[3:(n-0)]),sep='')
print(table(bits))
return(table(bits))
}
l ... | /Whale/analysis/next_previous.R | no_license | chrishefele/kaggle-sample-code | R | false | false | 510 | r | train <- read.csv('~/kaggle/Whale/download/data/train.csv')
w <- train$label
print_bits <- function(w) {
n <- length(w)
bits <- paste(as.character(w[1:(n-2)]),
as.character(w[2:(n-1)]),
as.character(w[3:(n-0)]),sep='')
print(table(bits))
return(table(bits))
}
l ... |
data <- scan("data/iotest1.txt")
sort(data)
sort(data, decreasing = T)
sum(data)
mean(data) | /Rexam/test1.R | no_license | HWANG593/R_Programming | R | false | false | 92 | r | data <- scan("data/iotest1.txt")
sort(data)
sort(data, decreasing = T)
sum(data)
mean(data) |
#R class final project, analysis stock
rm(list = ls())
#install.packages("quantmod")
library("quantmod")
############################data select:
#find company, default: search data from yahoo
#input stock name you want to search. Ex:GOOG, 2330.TW...
StockName<-scan(what = "")
yourStock<-getSymbols(StockNam... | /final_project.R | no_license | ipwefpo/R_final-project | R | false | false | 4,152 | r | #R class final project, analysis stock
rm(list = ls())
#install.packages("quantmod")
library("quantmod")
############################data select:
#find company, default: search data from yahoo
#input stock name you want to search. Ex:GOOG, 2330.TW...
StockName<-scan(what = "")
yourStock<-getSymbols(StockNam... |
##--------------------------------------------
##
## Class: PCE 350 Data Science Methods Class
##
##---- Test normaization ----
##
## Read the tweet data set
tweets = read.csv('Binary Classification_ Twitter sentiment analysis.csv',
header = TRUE, stringsAsFactors = FALSE)
colnames(tweets) <- c("se... | /R/Lecture10/Lecture10/old/NormalizeText.R | no_license | StephenElston/DataScience410 | R | false | false | 4,123 | r | ##--------------------------------------------
##
## Class: PCE 350 Data Science Methods Class
##
##---- Test normaization ----
##
## Read the tweet data set
tweets = read.csv('Binary Classification_ Twitter sentiment analysis.csv',
header = TRUE, stringsAsFactors = FALSE)
colnames(tweets) <- c("se... |
library(checkarg)
### Name: isNumberOrInfScalar
### Title: Wrapper for the checkarg function, using specific parameter
### settings.
### Aliases: isNumberOrInfScalar
### ** Examples
isNumberOrInfScalar(2)
# returns TRUE (argument is valid)
isNumberOrInfScalar("X")
# returns FALSE (argument is invalid)
#isNu... | /data/genthat_extracted_code/checkarg/examples/isNumberOrInfScalar.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 791 | r | library(checkarg)
### Name: isNumberOrInfScalar
### Title: Wrapper for the checkarg function, using specific parameter
### settings.
### Aliases: isNumberOrInfScalar
### ** Examples
isNumberOrInfScalar(2)
# returns TRUE (argument is valid)
isNumberOrInfScalar("X")
# returns FALSE (argument is invalid)
#isNu... |
[variance explained](http://varianceexplained.org/r/trump-tweets/)
[student project](https://www.msi.co.jp/tmstudio/stu17contents/No4_muc17_TMS.pdf)
[teaching notes](http://utstat.toronto.edu/~nathan/teaching/sta4002/Class4/trumptweets-students.html)
## geom_bar() vs geom_col() https://ggplot2.tidyverse.org/reference/g... | /studyNotes/trumptweets.R | no_license | ThymeLy/100DaysofML | R | false | false | 3,945 | r | [variance explained](http://varianceexplained.org/r/trump-tweets/)
[student project](https://www.msi.co.jp/tmstudio/stu17contents/No4_muc17_TMS.pdf)
[teaching notes](http://utstat.toronto.edu/~nathan/teaching/sta4002/Class4/trumptweets-students.html)
## geom_bar() vs geom_col() https://ggplot2.tidyverse.org/reference/g... |
library(animint2)
#Reading Happiness Index Data of 2015
HappinessData <- read.csv('./data/2015.csv')
viz.plot.one <- ggplot()+
ggtitle("Happiness Score vs. Life Expectancy")+
geom_point(aes(x=Happiness.Score, y=Health..Life.Expectancy., color=Region),
size=6,
showSelected="Region",
... | /Other Viz/AnimatedEasyTask.R | no_license | lazycipher/Tests-for-Animated-interactive-ggplots | R | false | false | 1,435 | r | library(animint2)
#Reading Happiness Index Data of 2015
HappinessData <- read.csv('./data/2015.csv')
viz.plot.one <- ggplot()+
ggtitle("Happiness Score vs. Life Expectancy")+
geom_point(aes(x=Happiness.Score, y=Health..Life.Expectancy., color=Region),
size=6,
showSelected="Region",
... |
fun_circle1 <- function() {
fun_circle2()
return(NULL)
}
fun_circle2 <- function() {
fun_circle3()
return(NULL)
}
fun_circle3 <- function() {
fun_circle4()
return(NULL)
}
fun_circle4 <- function() {
fun_circle1()
return(NULL)
}
| /data/r-testfile-2.R | no_license | ims-fhs/badhacker | R | false | false | 247 | r | fun_circle1 <- function() {
fun_circle2()
return(NULL)
}
fun_circle2 <- function() {
fun_circle3()
return(NULL)
}
fun_circle3 <- function() {
fun_circle4()
return(NULL)
}
fun_circle4 <- function() {
fun_circle1()
return(NULL)
}
|
\name{KellyRatio}
\alias{KellyRatio}
\title{calculate Kelly criterion ratio (leverage or bet size) for a strategy}
\usage{
KellyRatio(R, Rf = 0, method = "half")
}
\arguments{
\item{R}{a vector of returns to perform a mean over}
\item{Rf}{risk free rate, in same period as your returns}
\item{method}{method=ha... | /man/KellyRatio.Rd | no_license | sanjivkv/PerformanceAnalytics | R | false | false | 1,880 | rd | \name{KellyRatio}
\alias{KellyRatio}
\title{calculate Kelly criterion ratio (leverage or bet size) for a strategy}
\usage{
KellyRatio(R, Rf = 0, method = "half")
}
\arguments{
\item{R}{a vector of returns to perform a mean over}
\item{Rf}{risk free rate, in same period as your returns}
\item{method}{method=ha... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/tool_functions.R
\name{prune_model}
\alias{prune_model}
\title{Prune the model}
\usage{
prune_model(ztrain, ztest, model, int, Time, vel, mle, condition = 0)
}
\arguments{
\item{ztrain}{training neural data}
\item{ztest}{testing neural data}... | /man/prune_model.Rd | no_license | fmatano/StateSpaceStepwise | R | false | true | 708 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/tool_functions.R
\name{prune_model}
\alias{prune_model}
\title{Prune the model}
\usage{
prune_model(ztrain, ztest, model, int, Time, vel, mle, condition = 0)
}
\arguments{
\item{ztrain}{training neural data}
\item{ztest}{testing neural data}... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/isValidFunctions.R
\name{isValidTime}
\alias{isValidTime}
\title{Check Time String Format}
\usage{
isValidTime(date, format = "\%H:\%M:\%S")
}
\arguments{
\item{format}{By default equals to "\%H:\%M:\%S"}
}
\description{
Return a boolean depe... | /man/isValidTime.Rd | permissive | fabarca/reutiles | R | false | true | 386 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/isValidFunctions.R
\name{isValidTime}
\alias{isValidTime}
\title{Check Time String Format}
\usage{
isValidTime(date, format = "\%H:\%M:\%S")
}
\arguments{
\item{format}{By default equals to "\%H:\%M:\%S"}
}
\description{
Return a boolean depe... |
\name{rp.skewness}
\alias{rp.skewness}
\title{Skewness}
\usage{
rp.skewness(...)
}
\arguments{
\item{...}{parameters to be passed to \code{rp.univar}
function}
}
\value{
a numeric value with variable's skewness
}
\description{
Calculates skewness of given variable. See
\code{\link{rp.univar}} for details.
}... | /man/rp.skewness.Rd | no_license | casunlight/rapport | R | false | false | 322 | rd | \name{rp.skewness}
\alias{rp.skewness}
\title{Skewness}
\usage{
rp.skewness(...)
}
\arguments{
\item{...}{parameters to be passed to \code{rp.univar}
function}
}
\value{
a numeric value with variable's skewness
}
\description{
Calculates skewness of given variable. See
\code{\link{rp.univar}} for details.
}... |
/01_Sensitivity/Morris.R | no_license | tdeswaef/AquaCrop-Identifiability | R | false | false | 21,408 | r | ||
abcrf.formula <- function(formula, data, group=list(), lda=TRUE, ntree=500, sampsize=min(1e5, nrow(data)), paral=FALSE,
ncores= if(paral) max(detectCores()-1,1) else 1, ...)
{
# formula and data.frame check
if (!inherits(formula, "formula"))
stop("abcrf.formula is only for... | /R/abcrf.R | no_license | JulienPascal/abcrf | R | false | false | 3,840 | r | abcrf.formula <- function(formula, data, group=list(), lda=TRUE, ntree=500, sampsize=min(1e5, nrow(data)), paral=FALSE,
ncores= if(paral) max(detectCores()-1,1) else 1, ...)
{
# formula and data.frame check
if (!inherits(formula, "formula"))
stop("abcrf.formula is only for... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/blob.R
\name{ps_blob_file}
\alias{ps_blob_file}
\title{Blob File}
\usage{
ps_blob_file(file)
}
\arguments{
\item{file}{A string of the file name.}
}
\description{
Converts a file in the directory into a named blob.
}
| /man/ps_blob_file.Rd | permissive | poissonconsulting/poissqlite | R | false | true | 295 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/blob.R
\name{ps_blob_file}
\alias{ps_blob_file}
\title{Blob File}
\usage{
ps_blob_file(file)
}
\arguments{
\item{file}{A string of the file name.}
}
\description{
Converts a file in the directory into a named blob.
}
|
steepest.ascent <- function(X, start, step=.0005){
#X is the vector with all sample values xi
#start should be given as a 5-element vector c(p, mu1, mu2, sigma1, sigma2)
#I only had one p value because p2 = 1-p1
#M[1]=p, M[2]=mu1, M[3]=mu2, M[4]=sigma1, M[5]=sigma2
M <- start #M matrix will store each ... | /Steepest Ascent.R | no_license | LannyFox/HW3 | R | false | false | 2,542 | r | steepest.ascent <- function(X, start, step=.0005){
#X is the vector with all sample values xi
#start should be given as a 5-element vector c(p, mu1, mu2, sigma1, sigma2)
#I only had one p value because p2 = 1-p1
#M[1]=p, M[2]=mu1, M[3]=mu2, M[4]=sigma1, M[5]=sigma2
M <- start #M matrix will store each ... |
\name{mvdv-class}
\Rdversion{1.1}
\docType{class}
\alias{mvdv-class}
\alias{dmvdv}
\alias{pmvdv}
\alias{rmvdv}
\title{Multivariate Distributions Constructed from Vines}
\description{
Density, distribution function, and random generator for a
multivariate distribution via vines. The class \code{"mvdv"} is
designed a... | /man/mvdv-class.Rd | no_license | DianaCarrera/VinecopulaedasExtra | R | false | false | 2,264 | rd | \name{mvdv-class}
\Rdversion{1.1}
\docType{class}
\alias{mvdv-class}
\alias{dmvdv}
\alias{pmvdv}
\alias{rmvdv}
\title{Multivariate Distributions Constructed from Vines}
\description{
Density, distribution function, and random generator for a
multivariate distribution via vines. The class \code{"mvdv"} is
designed a... |
### Iván Eduardo Sedeño Jiménez
### R code for ISLR chapter 2.
##Ex.3
setwd("/Users/invitado/Documents/Temas compu")
bias = function(x)350*exp(-0.65*x)
variance = function(x)x^3/3
train_error = function(x)450/(exp(0.7*x-1.5)+1)+15
test_error = function(x)variance(x)+bias(x)+bayes_error(x)+rnorm(1,mean=100,sd=20)
bayes... | /Tarea_01.R | no_license | Iseez/ISLR_curso | R | false | false | 3,289 | r | ### Iván Eduardo Sedeño Jiménez
### R code for ISLR chapter 2.
##Ex.3
setwd("/Users/invitado/Documents/Temas compu")
bias = function(x)350*exp(-0.65*x)
variance = function(x)x^3/3
train_error = function(x)450/(exp(0.7*x-1.5)+1)+15
test_error = function(x)variance(x)+bias(x)+bayes_error(x)+rnorm(1,mean=100,sd=20)
bayes... |
getUnconstrainedSamples = function(fit) {
usamples_list = lapply(fit$latent_dynamics_files(), function(file) {
read_csv(file, comment = "#", col_types = cols(.default = col_double())) %>%
select(-lp__, -accept_stat__, -stepsize__, -treedepth__, -n_leapfrog__, -divergent__, -energy__,
-starts_wi... | /R/helpers.R | no_license | yizhang-yiz/campfire | R | false | false | 1,362 | r | getUnconstrainedSamples = function(fit) {
usamples_list = lapply(fit$latent_dynamics_files(), function(file) {
read_csv(file, comment = "#", col_types = cols(.default = col_double())) %>%
select(-lp__, -accept_stat__, -stepsize__, -treedepth__, -n_leapfrog__, -divergent__, -energy__,
-starts_wi... |
library(doParallel)
.fork_not_windows <- function(expected, expr)
{
err <- NULL
obs <- tryCatch(expr, error=function(e) {
if (!all(grepl("fork clusters are not supported on Windows",
conditionMessage(e))))
err <<- conditionMessage(e)
expected
})
checkT... | /inst/unitTests/test_bpvectorize.R | no_license | vjcitn/BiocParallel | R | false | false | 859 | r | library(doParallel)
.fork_not_windows <- function(expected, expr)
{
err <- NULL
obs <- tryCatch(expr, error=function(e) {
if (!all(grepl("fork clusters are not supported on Windows",
conditionMessage(e))))
err <<- conditionMessage(e)
expected
})
checkT... |
#' Split river segments at runoff unit (polygon) boundaries.
#'
#' Splits an 'sf' linestring object at the boundaries of
#' runoff units (polygons).
#'
#' @param zoneID Name of the column in \code{HS} with unique IDs.
#' @inheritParams compute_HSweights
#'
#' @return Returns an 'sf' linestring object which has been... | /R/split_river_with_grid.R | permissive | tanxuezhi/hydrostreamer | R | false | false | 2,810 | r | #' Split river segments at runoff unit (polygon) boundaries.
#'
#' Splits an 'sf' linestring object at the boundaries of
#' runoff units (polygons).
#'
#' @param zoneID Name of the column in \code{HS} with unique IDs.
#' @inheritParams compute_HSweights
#'
#' @return Returns an 'sf' linestring object which has been... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/heatmap.R
\name{merge_heatmap_opts}
\alias{merge_heatmap_opts}
\title{Merge default options for a heatmap}
\usage{
merge_heatmap_opts(opts = list())
}
\arguments{
\item{opts}{[list] A partially specified list used to customize appearance in
g... | /man/merge_heatmap_opts.Rd | no_license | krisrs1128/ggscaffold | R | false | true | 592 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/heatmap.R
\name{merge_heatmap_opts}
\alias{merge_heatmap_opts}
\title{Merge default options for a heatmap}
\usage{
merge_heatmap_opts(opts = list())
}
\arguments{
\item{opts}{[list] A partially specified list used to customize appearance in
g... |
library(ggvis)
shinyUI(
navbarPage(p(h5(strong("Navigate Bar for Plots"), style = "color:Green")),
tabPanel(p(h3(strong("Input Data"),style = "color:green")),
titlePanel(p(h2("Basic Visualisation Tool",style = "color:orange"))),
... | /shiny_cluster_8sep/graficas/Carpeta sin título 2/ui.R | no_license | isabelmillan/shiny_B | R | false | false | 10,467 | r | library(ggvis)
shinyUI(
navbarPage(p(h5(strong("Navigate Bar for Plots"), style = "color:Green")),
tabPanel(p(h3(strong("Input Data"),style = "color:green")),
titlePanel(p(h2("Basic Visualisation Tool",style = "color:orange"))),
... |
library(ggplot2)
library(data.table)
library(usmap)
# First three lines are metadata
metadata <- readLines('./CollegeData.csv', n = 3)
metadata <- strsplit(metadata, ',')
fullColumnNames <- metadata[[1]]
columnNames <- metadata[[2]]
columnClasses <- metadata[[3]]
# Custom class for date formatting
setClass('myDate')
... | /Regression.R | no_license | jackson-nestelroad/global-health-project-regression | R | false | false | 4,271 | r | library(ggplot2)
library(data.table)
library(usmap)
# First three lines are metadata
metadata <- readLines('./CollegeData.csv', n = 3)
metadata <- strsplit(metadata, ',')
fullColumnNames <- metadata[[1]]
columnNames <- metadata[[2]]
columnClasses <- metadata[[3]]
# Custom class for date formatting
setClass('myDate')
... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/preprocessing_filtering_reduction.R
\name{create_scExp}
\alias{create_scExp}
\title{Wrapper to create the single cell experiment from count matrix and feature
dataframe}
\usage{
create_scExp(
datamatrix,
annot,
remove_zero_cells = TRUE,... | /man/create_scExp.Rd | no_license | vallotlab/ChromSCape | R | false | true | 1,476 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/preprocessing_filtering_reduction.R
\name{create_scExp}
\alias{create_scExp}
\title{Wrapper to create the single cell experiment from count matrix and feature
dataframe}
\usage{
create_scExp(
datamatrix,
annot,
remove_zero_cells = TRUE,... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/emmGrid-methods.R
\name{regrid}
\alias{regrid}
\title{Reconstruct a reference grid with a new transformation or posterior sample}
\usage{
regrid(object, transform = c("response", "mu", "unlink", "none", "pass",
links), inv.link.lbl = "respo... | /man/regrid.Rd | no_license | karthy257/emmeans | R | false | true | 6,005 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/emmGrid-methods.R
\name{regrid}
\alias{regrid}
\title{Reconstruct a reference grid with a new transformation or posterior sample}
\usage{
regrid(object, transform = c("response", "mu", "unlink", "none", "pass",
links), inv.link.lbl = "respo... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Alin.R
\name{compute.score}
\alias{compute.score}
\title{Compute score}
\usage{
compute.score(als2, Sim)
}
\description{
Compute score
}
\keyword{internal}
| /man/compute.score.Rd | no_license | KariAntonio/AligNet | R | false | true | 235 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Alin.R
\name{compute.score}
\alias{compute.score}
\title{Compute score}
\usage{
compute.score(als2, Sim)
}
\description{
Compute score
}
\keyword{internal}
|
# # # # # # # # # # # # # # #
# PCR and PLS regression #
# # # # # # # # # # # # # # #
library(ISLR)
library(pls)
# Omit missing values
Hitters = na.omit(Hitters)
# PCR
set.seed(2)
pcr.fit = pcr(Salary~.,data=Hitters,scale=TRUE,validation="CV")
summary(pcr.fit)
# Plot results
validationplot(pcr.fit,val.type = "MS... | /Tutorial7.R | no_license | ruibarrigana/Rtutorials | R | false | false | 1,061 | r | # # # # # # # # # # # # # # #
# PCR and PLS regression #
# # # # # # # # # # # # # # #
library(ISLR)
library(pls)
# Omit missing values
Hitters = na.omit(Hitters)
# PCR
set.seed(2)
pcr.fit = pcr(Salary~.,data=Hitters,scale=TRUE,validation="CV")
summary(pcr.fit)
# Plot results
validationplot(pcr.fit,val.type = "MS... |
#' @title Extract i.i.d. decomposition from a Cox model
#' @description Compute the influence function for each observation used to estimate the model
#' @name iid
#'
#' @param object object The fitted Cox regression model object either
#' obtained with \code{coxph} (survival package) or \code{cph}
#' (rms pac... | /R/iidCox.R | no_license | PablitoCho/riskRegression | R | false | false | 14,526 | r | #' @title Extract i.i.d. decomposition from a Cox model
#' @description Compute the influence function for each observation used to estimate the model
#' @name iid
#'
#' @param object object The fitted Cox regression model object either
#' obtained with \code{coxph} (survival package) or \code{cph}
#' (rms pac... |
## Contaminated read simulation
NUCLEOTIDES <- c('A', 'T', 'C', 'G')
#adapters <- list("solexa_adapter_1"="AGATCGGAAGAGCTCGTATGCCGTCTTCTGCTTG")
adapter <- "AGATCGGAAGAGCTCGTATGCCGTCTTCTGCTTG"
#adapter <- "TTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTT"
set.seed(0)
addErrors <-
# given a sequence, add errors based on an Illumin... | /testing/read-sim.R | permissive | hjanime/scythe | R | false | false | 2,623 | r | ## Contaminated read simulation
NUCLEOTIDES <- c('A', 'T', 'C', 'G')
#adapters <- list("solexa_adapter_1"="AGATCGGAAGAGCTCGTATGCCGTCTTCTGCTTG")
adapter <- "AGATCGGAAGAGCTCGTATGCCGTCTTCTGCTTG"
#adapter <- "TTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTT"
set.seed(0)
addErrors <-
# given a sequence, add errors based on an Illumin... |
#
# 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/
#
library(shiny)
# Define UI for application that draws a histogram
ui <- fluidPage(
# Application title
t... | /app.R | no_license | nielsenmarkus11/healthcare-prod | R | false | false | 1,263 | 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/
#
library(shiny)
# Define UI for application that draws a histogram
ui <- fluidPage(
# Application title
t... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/score_lnk.r
\name{score_lnk}
\alias{score_lnk}
\title{Score Linkage Variables}
\usage{
score_lnk(df)
}
\arguments{
\item{df}{site MSD file}
}
\description{
Score Linkage Variables
}
| /man/score_lnk.Rd | permissive | USAID-OHA-SI/asSIMSble | R | false | true | 260 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/score_lnk.r
\name{score_lnk}
\alias{score_lnk}
\title{Score Linkage Variables}
\usage{
score_lnk(df)
}
\arguments{
\item{df}{site MSD file}
}
\description{
Score Linkage Variables
}
|
## HyperG R Package
##
## Copyright (c) 2021 David J. Marchette <dmarchette@gmail.com>
##
## Permission is hereby granted, free of charge, to any person obtaining a copy
## of this software and associated documentation files (the "Software"), to deal
## in the Software without restriction, including without limitatio... | /R/summary.hypergraph.R | no_license | cran/HyperG | R | false | false | 1,729 | r | ## HyperG R Package
##
## Copyright (c) 2021 David J. Marchette <dmarchette@gmail.com>
##
## Permission is hereby granted, free of charge, to any person obtaining a copy
## of this software and associated documentation files (the "Software"), to deal
## in the Software without restriction, including without limitatio... |
#----To clear the console-----
dev.off() # Clear the graph window
cat('\014') # Clear the console
rm(list=ls()) # Clear all user objects from the environment!!!
######-------- Part 1---------------------------
#Import data
fname <- file.choose()
fname
df <- read.csv(fname, header=T, stringsAsFactors = F) ... | /Rcode_311_Calls.R | no_license | iamlalitmohan/Info-Visualization | R | false | false | 6,374 | r | #----To clear the console-----
dev.off() # Clear the graph window
cat('\014') # Clear the console
rm(list=ls()) # Clear all user objects from the environment!!!
######-------- Part 1---------------------------
#Import data
fname <- file.choose()
fname
df <- read.csv(fname, header=T, stringsAsFactors = F) ... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/internals.R
\name{merge.snpR.stats}
\alias{merge.snpR.stats}
\title{Merge newly calculated stats into a snpRdata object.}
\usage{
\method{merge}{snpR.stats}(x, stats, type = "stats")
}
\arguments{
\item{x}{snpRdata object}
\item{stats}{data.... | /man/merge.snpR.stats.Rd | no_license | ldutoit/snpR | R | false | true | 1,069 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/internals.R
\name{merge.snpR.stats}
\alias{merge.snpR.stats}
\title{Merge newly calculated stats into a snpRdata object.}
\usage{
\method{merge}{snpR.stats}(x, stats, type = "stats")
}
\arguments{
\item{x}{snpRdata object}
\item{stats}{data.... |
############################### Simulation - MCMC kernels (E-step) #############################
mcmc<-function(model,data,control=list()) {
# E-step - simulate unknown parameters
# Input: kiter, Uargs, structural.model, mean.phi (unchanged)
# Output: varList, DYF, phiM (changed)
kiter <- 1
Gamma.laplace <- NUL... | /fsaem/code/R/mcmc_final.R | no_license | BelhalK/PapersCode | R | false | false | 29,015 | r | ############################### Simulation - MCMC kernels (E-step) #############################
mcmc<-function(model,data,control=list()) {
# E-step - simulate unknown parameters
# Input: kiter, Uargs, structural.model, mean.phi (unchanged)
# Output: varList, DYF, phiM (changed)
kiter <- 1
Gamma.laplace <- NUL... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/add_labels_to_reduced_matrix.R
\name{add_labels_to_reduced_matrix}
\alias{add_labels_to_reduced_matrix}
\title{Augment a reduced matrix with label information and transition counts from original dataset}
\usage{
add_labels_to_reduced_matrix(r... | /R/rkf/man/add_labels_to_reduced_matrix.Rd | no_license | alan-turing-institute/KnowledgeFlows | R | false | true | 815 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/add_labels_to_reduced_matrix.R
\name{add_labels_to_reduced_matrix}
\alias{add_labels_to_reduced_matrix}
\title{Augment a reduced matrix with label information and transition counts from original dataset}
\usage{
add_labels_to_reduced_matrix(r... |
library("aroma.affymetrix")
verbose <- Arguments$getVerbose(-8, timestamp=TRUE)
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Setup data set
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
dataSet <- "HapMap,CEU,testset"
chipType <- "Mapping50K_Hind240"
cdf <- AffymetrixCdfFile... | /inst/testScripts/system/chipTypes/Mapping50K_Hind240/12.justSNPRMA,CRLMM.R | no_license | HenrikBengtsson/aroma.affymetrix | R | false | false | 1,894 | r | library("aroma.affymetrix")
verbose <- Arguments$getVerbose(-8, timestamp=TRUE)
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Setup data set
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
dataSet <- "HapMap,CEU,testset"
chipType <- "Mapping50K_Hind240"
cdf <- AffymetrixCdfFile... |
/RawGeno/man/Treecon.inv.Rd | no_license | arrigon/RawGeno | R | false | false | 898 | rd | ||
# This script uses the context likelihood of relatedness (CLR) network inference method to predict interactions between TF genes and gene modules.
'''
CLR network inference:
Faith JJ, Hayete B, Thaden JT, Mogno I, Wierzbowski J, Cottarel G, et al. Large-scale mapping and validation of Escherichia coli transcriptional... | /step5_clr_inference.R | no_license | zhuqingquan5510/rsv3-network | R | false | false | 1,333 | r | # This script uses the context likelihood of relatedness (CLR) network inference method to predict interactions between TF genes and gene modules.
'''
CLR network inference:
Faith JJ, Hayete B, Thaden JT, Mogno I, Wierzbowski J, Cottarel G, et al. Large-scale mapping and validation of Escherichia coli transcriptional... |
#===========================================================================
# BASIC TEXAS SETUP
#===========================================================================
root = getwd()
while(basename(root) != "texas") {
root = dirname(root)
}
library(tidyverse)
library(lubridate)
library(readxl)
source(file.pat... | /code/Data_Cleaning/glo_output.R | no_license | vmolchan/public_cs_texas | R | false | false | 9,583 | r | #===========================================================================
# BASIC TEXAS SETUP
#===========================================================================
root = getwd()
while(basename(root) != "texas") {
root = dirname(root)
}
library(tidyverse)
library(lubridate)
library(readxl)
source(file.pat... |
testlist <- list(x = structure(c(0, 1.39234637988959e+188, 0, 8.64639514365796e-275, 1.98730118526674e-168, 5.28313590379074e-312, 2.00689190195556e-314, 4.62271829730836e-178, 3.41641322345409e-312, 0, 0, 3.45972424407988e-168, 3.81867046820952e-152, 6.80705808407373e-145, 5.68910722257131e-304, 8.37633803288811e-... | /bravo/inst/testfiles/colSumSq_matrix/libFuzzer_colSumSq_matrix/colSumSq_matrix_valgrind_files/1609959812-test.R | no_license | akhikolla/updated-only-Issues | R | false | false | 728 | r | testlist <- list(x = structure(c(0, 1.39234637988959e+188, 0, 8.64639514365796e-275, 1.98730118526674e-168, 5.28313590379074e-312, 2.00689190195556e-314, 4.62271829730836e-178, 3.41641322345409e-312, 0, 0, 3.45972424407988e-168, 3.81867046820952e-152, 6.80705808407373e-145, 5.68910722257131e-304, 8.37633803288811e-... |
library( dplyr, warn.conflicts = FALSE )
library( ggplot2 , warn.conflicts = FALSE )
source("../scripts/plotting/mytheme.R")
argv <- commandArgs( trailingOnly = TRUE )
datafile <- argv[1]
outplot <- argv[2]
mactvalues <- as.numeric( unlist( strsplit( argv[3], " " ) ) )
nc <- as.numeric( argv[4] )
# Load data and c... | /figures/scripts/plotting/plot-instantaneous-speed-MactLact-facet-selection.R | permissive | ingewortel/2020-ucsp | R | false | false | 3,363 | r | library( dplyr, warn.conflicts = FALSE )
library( ggplot2 , warn.conflicts = FALSE )
source("../scripts/plotting/mytheme.R")
argv <- commandArgs( trailingOnly = TRUE )
datafile <- argv[1]
outplot <- argv[2]
mactvalues <- as.numeric( unlist( strsplit( argv[3], " " ) ) )
nc <- as.numeric( argv[4] )
# Load data and c... |
\name{RGB2HSL}
\alias{RGB2HSL}
\title{Convert RGB coordinates to HSL}
\description{\code{RGB2HSL} Converts RGB coordinates to HSL.
}
\usage{RGB2HSL(RGBmatrix) }
\arguments{
\item{RGBmatrix}{ RGB coordinates}
}
\value{
HSL coordinates
}
\source{
Logicol S.r.l., 2014
EasyRGB color search engine
\url{http://www.easyrg... | /man/RGB2HSL.Rd | no_license | playwar/colorscience | R | false | false | 507 | rd | \name{RGB2HSL}
\alias{RGB2HSL}
\title{Convert RGB coordinates to HSL}
\description{\code{RGB2HSL} Converts RGB coordinates to HSL.
}
\usage{RGB2HSL(RGBmatrix) }
\arguments{
\item{RGBmatrix}{ RGB coordinates}
}
\value{
HSL coordinates
}
\source{
Logicol S.r.l., 2014
EasyRGB color search engine
\url{http://www.easyrg... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/convertOne.r
\name{convertOne}
\alias{convertOne}
\title{Convert an Excel spreadsheet to match the CoVaxON schema}
\arguments{
\item{file}{Character scalar. Names the path to an Excel file to convert.}
}
\value{
Void
}
\description{
\code{con... | /man/convertOne.Rd | permissive | DurhamRegionHARP/verto2covax | R | false | true | 511 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/convertOne.r
\name{convertOne}
\alias{convertOne}
\title{Convert an Excel spreadsheet to match the CoVaxON schema}
\arguments{
\item{file}{Character scalar. Names the path to an Excel file to convert.}
}
\value{
Void
}
\description{
\code{con... |
# rm(list=ls())
library(jagsUI)
library(dplyr)
library(tidyverse)
library(lubridate)
library(PKPDmisc)
#################################################################
########## BUGS CODE ############################################
#################################################################
# Define the mo... | /R_scripts/03_bayesian_model.R | no_license | mishafredmeyer/flathead_sewage | R | false | false | 8,204 | r | # rm(list=ls())
library(jagsUI)
library(dplyr)
library(tidyverse)
library(lubridate)
library(PKPDmisc)
#################################################################
########## BUGS CODE ############################################
#################################################################
# Define the mo... |
##***********************************************************************
## methods to compute the spacings for diffrent objects.
##
## First sort in descending order, then diff and possibly weight.
##
## Author: Yves Deville <deville.yves@alpestat.com>
##
##***********************************************************... | /R/spacings.R | no_license | cran/Renext | R | false | false | 2,142 | r | ##***********************************************************************
## methods to compute the spacings for diffrent objects.
##
## First sort in descending order, then diff and possibly weight.
##
## Author: Yves Deville <deville.yves@alpestat.com>
##
##***********************************************************... |
utils::globalVariables(c("station_values", "date_start", "date_end", "keyword", "network", "date_range",
"station", "show", "show_date", "word", "snippet", ".x"))
sfj <- purrr::safely(jsonlite::fromJSON)
s_head <- purrr::safely(httr::HEAD) | /R/aaa.r | no_license | hrbrmstr/newsflash | R | false | false | 266 | r | utils::globalVariables(c("station_values", "date_start", "date_end", "keyword", "network", "date_range",
"station", "show", "show_date", "word", "snippet", ".x"))
sfj <- purrr::safely(jsonlite::fromJSON)
s_head <- purrr::safely(httr::HEAD) |
#.libPaths("/data/Rlibs")
options(mrgsolve.soloc = "build")
knitr::opts_chunk$set(
comment = '.',
fig.height = 5,
fig.width = 9,
fig.align = "center",
message = FALSE,
warning = FALSE
)
ggplot2::theme_set(ggplot2::theme_bw())
| /src/global.R | no_license | kylebaron/mpss-mrgsolve | R | false | false | 241 | r | #.libPaths("/data/Rlibs")
options(mrgsolve.soloc = "build")
knitr::opts_chunk$set(
comment = '.',
fig.height = 5,
fig.width = 9,
fig.align = "center",
message = FALSE,
warning = FALSE
)
ggplot2::theme_set(ggplot2::theme_bw())
|
#shield for input type
number_check2 <-function(x,y) {
n <- as.numeric(x,y)
{return(ifelse(is.na(n), 'ValueError', 'ValueError'))}
}
#test
print(number_check2(2,'h'))
number_check1 <-function(x) {
as.numeric(x)
if (is.na(x))
{return('ValueError')}
}
#test
print(number_check1('h'))
exponential <-f... | /CA5/CA 5.R | no_license | LAWLORAE/al_pbd | R | false | false | 2,865 | r |
#shield for input type
number_check2 <-function(x,y) {
n <- as.numeric(x,y)
{return(ifelse(is.na(n), 'ValueError', 'ValueError'))}
}
#test
print(number_check2(2,'h'))
number_check1 <-function(x) {
as.numeric(x)
if (is.na(x))
{return('ValueError')}
}
#test
print(number_check1('h'))
exponential <-f... |
# --------------------------------------------------------------------------------
# 동적시각화와 관련된 다양한 패키지를 소개합니다.
# --------------------------------------------------------------------------------
# 이번 장은 다양한 패키지를 일괄적으로 나열하여 보여드립니다.
#### 1. plotly ####
# plotly(이하 플로틀리)의 미션은
# Plotly is helping leading organization... | /python/수업자료/머신러닝/R_edu-master/R_NCS_2020/1_day/source/1_6_Interactive_graph.R | no_license | denim5409/connected | R | false | false | 7,032 | r | # --------------------------------------------------------------------------------
# 동적시각화와 관련된 다양한 패키지를 소개합니다.
# --------------------------------------------------------------------------------
# 이번 장은 다양한 패키지를 일괄적으로 나열하여 보여드립니다.
#### 1. plotly ####
# plotly(이하 플로틀리)의 미션은
# Plotly is helping leading organization... |
# R code file that constructs the PLOT 2 for the Projet 1. The Code File include
# the code for reading the data so that the plot can be fully reproduced. It
# also creates the PNG file.
file.png = "plot2.png"
filename = "household_power_consumption.txt"
# check if the data is in the current working directory. If no... | /plot2.R | no_license | gitranz/ExData_Plotting1 | R | false | false | 2,645 | r | # R code file that constructs the PLOT 2 for the Projet 1. The Code File include
# the code for reading the data so that the plot can be fully reproduced. It
# also creates the PNG file.
file.png = "plot2.png"
filename = "household_power_consumption.txt"
# check if the data is in the current working directory. If no... |
get_coeffs <- function(taxon_list, survey, date, save=F){
library(data.table)
library(dplyr)
library(readr)
library(rfishbase)
library(stringr)
s_time <- Sys.time()
### Load Data
datalw <- taxon_list %>%
dplyr::rename(level = rank) %>%
mutate(species = str_split(taxa, " ", simplify=... | /functions/get_length_weight_coeffs_rfishbase.R | no_license | AquaAuma/FishGlob_data | R | false | false | 4,284 | r | get_coeffs <- function(taxon_list, survey, date, save=F){
library(data.table)
library(dplyr)
library(readr)
library(rfishbase)
library(stringr)
s_time <- Sys.time()
### Load Data
datalw <- taxon_list %>%
dplyr::rename(level = rank) %>%
mutate(species = str_split(taxa, " ", simplify=... |
##################################################################################################################
# 2015 earthquake in nepal #
########################################################################################... | /Earthquake_in_Nepal_Vis.R | no_license | BkrmDahal/Nepal_earthquake | R | false | false | 6,537 | r | ##################################################################################################################
# 2015 earthquake in nepal #
########################################################################################... |
#########################################################
### Problem #1: 3 different ways to make 5 x 5 matrix.###
#########################################################
### Method #1:
method1<- matrix(1:25, 5, 5)
method1
method2_a <- 1:5
method2_b <- 6:10
method2_c <- 11:15
method2_d <- 16:20
metho... | /Homework_2.R | no_license | poplock100/NYC_Data_Science | R | false | false | 5,579 | r | #########################################################
### Problem #1: 3 different ways to make 5 x 5 matrix.###
#########################################################
### Method #1:
method1<- matrix(1:25, 5, 5)
method1
method2_a <- 1:5
method2_b <- 6:10
method2_c <- 11:15
method2_d <- 16:20
metho... |
# Data Frame Operations
# 1. Creating data frames
empty <- data.frame() # It creates empty data frame
empty
c1 <- 1:10
c1
letters
c2 <- letters
c2 <- letters[1:10]
c2
c1
c2
df <- data.frame(col.name.1 = c1, col.name.2 = c2)
df
# 2. Importing and Exporting data
write.csv(df,file = "saved_df.csv")
read.csv('sav... | /Data Frame Operations.R | no_license | Lakshhmi/R-Course | R | false | false | 2,174 | r | # Data Frame Operations
# 1. Creating data frames
empty <- data.frame() # It creates empty data frame
empty
c1 <- 1:10
c1
letters
c2 <- letters
c2 <- letters[1:10]
c2
c1
c2
df <- data.frame(col.name.1 = c1, col.name.2 = c2)
df
# 2. Importing and Exporting data
write.csv(df,file = "saved_df.csv")
read.csv('sav... |
title.extraction.function <- function(name.original)
{
name.split <- strsplit(name.original, ", ")[[1]][2]
title <- strsplit(name.split, ". ")[[1]][1]
return (title)
}
fetch.mean.age.for.title.function <- function(title,aggregate.age.per.title)
{
return (aggregate.age.per.title$MeanAge[aggregate.age.per.ti... | /titanic_helper.R | no_license | aman-290698/Titanic_Analysis_R | R | false | false | 1,816 | r | title.extraction.function <- function(name.original)
{
name.split <- strsplit(name.original, ", ")[[1]][2]
title <- strsplit(name.split, ". ")[[1]][1]
return (title)
}
fetch.mean.age.for.title.function <- function(title,aggregate.age.per.title)
{
return (aggregate.age.per.title$MeanAge[aggregate.age.per.ti... |
# Copyright 2020 Observational Health Data Sciences and Informatics
#
# This file is part of CensoringSensAnalysis
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.or... | /extras/CensoringSensAnalysis/R/Main.R | permissive | sebastiaan101/Legend | R | false | false | 2,391 | r | # Copyright 2020 Observational Health Data Sciences and Informatics
#
# This file is part of CensoringSensAnalysis
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.or... |
# generate_anthro_1850.R
#
# Generate final figures for the emissions_gridding paper.
#
# Read instructions in gridding_paper_figures.R, then run this file.
#
# Matt Nicholson
# 12/17/19
source('code/gridding-paper-figures/gridding_paper_figures.R')
CH4_1850 <- file.path(HISTORICAL_EMS_DIR, 'CH4-em-anthro_input4MIPs_e... | /CEDS/generate_anthro_1850.R | permissive | mnichol3/my_jgcri | R | false | false | 2,699 | r | # generate_anthro_1850.R
#
# Generate final figures for the emissions_gridding paper.
#
# Read instructions in gridding_paper_figures.R, then run this file.
#
# Matt Nicholson
# 12/17/19
source('code/gridding-paper-figures/gridding_paper_figures.R')
CH4_1850 <- file.path(HISTORICAL_EMS_DIR, 'CH4-em-anthro_input4MIPs_e... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/sheets_objects.R
\name{TextToColumnsRequest}
\alias{TextToColumnsRequest}
\title{TextToColumnsRequest Object}
\usage{
TextToColumnsRequest(delimiter = NULL, source = NULL,
delimiterType = NULL)
}
\arguments{
\item{delimiter}{The delimiter t... | /man/TextToColumnsRequest.Rd | no_license | key-Mustang/googleSheetsR | R | false | true | 659 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/sheets_objects.R
\name{TextToColumnsRequest}
\alias{TextToColumnsRequest}
\title{TextToColumnsRequest Object}
\usage{
TextToColumnsRequest(delimiter = NULL, source = NULL,
delimiterType = NULL)
}
\arguments{
\item{delimiter}{The delimiter t... |
library("ISLR")
names(Smarket) #Nos tira los nombres de las columnas
View(Smarket)
data(Smarket)
dim(Smarket) #Nos dice la cantidad de filas y columnas
summary(Smarket) #Hace un resumen de estadisticas descriptivas
cor(Smarket[,-9]) #Armamos una matrix de correlacion entre cada columna omitiendo la variable c... | /Regresion logistica.R | no_license | DaroMiceliPy/AnalisisCuantitativoR | R | false | false | 3,101 | r | library("ISLR")
names(Smarket) #Nos tira los nombres de las columnas
View(Smarket)
data(Smarket)
dim(Smarket) #Nos dice la cantidad de filas y columnas
summary(Smarket) #Hace un resumen de estadisticas descriptivas
cor(Smarket[,-9]) #Armamos una matrix de correlacion entre cada columna omitiendo la variable c... |
# This is a version with suggested updates by T Therneau
# All updates are stolen from survexp in the survival package, with comments.
# Most changes are used, some further corrections were required.
rformulate <- function (formula, data = parent.frame(), ratetable, na.action, rmap,
int, ce... | /R/rformulate.r | no_license | cran/relsurv | R | false | false | 8,526 | r | # This is a version with suggested updates by T Therneau
# All updates are stolen from survexp in the survival package, with comments.
# Most changes are used, some further corrections were required.
rformulate <- function (formula, data = parent.frame(), ratetable, na.action, rmap,
int, ce... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/parse-utils.R
\name{is_association_id}
\alias{is_association_id}
\title{Is a string a GWAS Catalog association accession ID?}
\usage{
is_association_id(str, convert_NA_to_FALSE = TRUE)
}
\arguments{
\item{str}{A character vector of strings.}
... | /man/is_association_id.Rd | permissive | ramiromagno/gwasrapidd | R | false | true | 756 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/parse-utils.R
\name{is_association_id}
\alias{is_association_id}
\title{Is a string a GWAS Catalog association accession ID?}
\usage{
is_association_id(str, convert_NA_to_FALSE = TRUE)
}
\arguments{
\item{str}{A character vector of strings.}
... |
library(igraph)
library(Matrix)
library(R.matlab)
x<-data.frame(c(0,1,0,0,1,0),c(1,0,1,0,1,0),c(0,1,0,1,0,0),c(0,0,1,0,1,1),c(1,1,0,0,1,0),c(0,0,0,1,0,0))
#####
c=0
for(i in 1:nrow(x)){
for(j in 1:ncol(x)){
print(x[i,j])
c=c+1
}
}
print(c)
###
grap<-matrix(nrow=5,ncol=5)
grap<-matrix(nrow=5,ncol=5)
for(i i... | /Assignment3/1/GAnet/GAnet.R | no_license | ckant96/Datamining | R | false | false | 10,087 | r | library(igraph)
library(Matrix)
library(R.matlab)
x<-data.frame(c(0,1,0,0,1,0),c(1,0,1,0,1,0),c(0,1,0,1,0,0),c(0,0,1,0,1,1),c(1,1,0,0,1,0),c(0,0,0,1,0,0))
#####
c=0
for(i in 1:nrow(x)){
for(j in 1:ncol(x)){
print(x[i,j])
c=c+1
}
}
print(c)
###
grap<-matrix(nrow=5,ncol=5)
grap<-matrix(nrow=5,ncol=5)
for(i i... |
/Retos/Reto 1/intentoItatira.R | no_license | escobartc/AnalisisNumerico-2130 | R | false | false | 5,217 | r | ||
library(ERP)
### Name: ERP-package
### Title: Significance Analysis of Event-Related Potentials Data:
### Significance Analysis of Event-Related Potentials Data
### Aliases: ERP-package ERP
### ** Examples
## Not run:
##D
##D data(impulsivity)
##D
##D # Paired t-tests for the comparison of the ERP curves in t... | /data/genthat_extracted_code/ERP/examples/ERP-package.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 2,359 | r | library(ERP)
### Name: ERP-package
### Title: Significance Analysis of Event-Related Potentials Data:
### Significance Analysis of Event-Related Potentials Data
### Aliases: ERP-package ERP
### ** Examples
## Not run:
##D
##D data(impulsivity)
##D
##D # Paired t-tests for the comparison of the ERP curves in t... |
#!/usr/bin/env Rscript
#
# Wrapper for running CIBERSORT.R by command line.
# CIBERSORT.R uses 3 parallel threads.
# Note: writes CIBERSORT-Results.txt file to working directory
library(optparse)
# Command line arguments
opt_list = list(
make_option(c("-l", "--library"),
type="character",
default=".",
help="F... | /src/runCibersort.r | no_license | skoplev/hpc-cibersort | R | false | false | 1,296 | r | #!/usr/bin/env Rscript
#
# Wrapper for running CIBERSORT.R by command line.
# CIBERSORT.R uses 3 parallel threads.
# Note: writes CIBERSORT-Results.txt file to working directory
library(optparse)
# Command line arguments
opt_list = list(
make_option(c("-l", "--library"),
type="character",
default=".",
help="F... |
#Set Working Directory and Read Data
getwd()
#windows
setwd("C:/Users/user hp/Documents/GitHub/DataMining-master/DataMining-master/Datasets")
getwd()
stats <- read.csv("Test-Data.csv")
stats
#Split the Data 1960 & 2013
stats[stats$Year == "1960",]
df1960 <- stats[c(1:187),]
df1960
df2013 <- stats[c(188:374),]
df2013... | /Unit_1/Exams/Exam.R | no_license | Angi-Reynoso/Mineria_de_Datos | R | false | false | 9,242 | r | #Set Working Directory and Read Data
getwd()
#windows
setwd("C:/Users/user hp/Documents/GitHub/DataMining-master/DataMining-master/Datasets")
getwd()
stats <- read.csv("Test-Data.csv")
stats
#Split the Data 1960 & 2013
stats[stats$Year == "1960",]
df1960 <- stats[c(1:187),]
df1960
df2013 <- stats[c(188:374),]
df2013... |
#' Convert `dataspice` metadata to EML
#'
#' Performs an (imperfect) conversion of `dataspice` metadata to EML. It's
#' very likely you will get validation errors and need to fix them afterwards
#' but `spice_to_eml` is a good way to a richer metadata schema (EML) when
#' you're already using `dataspice` but need a ric... | /R/spice_to_eml.R | permissive | drakileshr/dataspice | R | false | false | 2,614 | r | #' Convert `dataspice` metadata to EML
#'
#' Performs an (imperfect) conversion of `dataspice` metadata to EML. It's
#' very likely you will get validation errors and need to fix them afterwards
#' but `spice_to_eml` is a good way to a richer metadata schema (EML) when
#' you're already using `dataspice` but need a ric... |
testlist <- list(doy = numeric(0), latitude = c(-6.82852703442279e-229, -6.82852703442279e-229, -6.82852703442279e-229, -6.82852703442279e-229, -6.82852703442279e-229, -6.82852703442279e-229, -6.82852703442279e-229, 2.77448001761892e+180, 2.77448001762435e+180, 2.77448001762435e+180, 2.77448001762435e+180, 2.774480... | /meteor/inst/testfiles/ET0_ThornthwaiteWilmott/libFuzzer_ET0_ThornthwaiteWilmott/ET0_ThornthwaiteWilmott_valgrind_files/1612735860-test.R | no_license | akhikolla/updatedatatype-list3 | R | false | false | 613 | r | testlist <- list(doy = numeric(0), latitude = c(-6.82852703442279e-229, -6.82852703442279e-229, -6.82852703442279e-229, -6.82852703442279e-229, -6.82852703442279e-229, -6.82852703442279e-229, -6.82852703442279e-229, 2.77448001761892e+180, 2.77448001762435e+180, 2.77448001762435e+180, 2.77448001762435e+180, 2.774480... |
\name{translate.humar}
\alias{translate.humar}
%- Also NEED an '\alias' for EACH other topic documented here.
\title{
%% ~~function to do ... ~~
translate.humar
}
\description{
%% ~~ A concise (1-5 lines) description of what the function does. ~~
This package translates the column names in the humar data set from Ice... | /man/translate.humar.Rd | no_license | pfrater/LogbooksTranslate | R | false | false | 1,267 | rd | \name{translate.humar}
\alias{translate.humar}
%- Also NEED an '\alias' for EACH other topic documented here.
\title{
%% ~~function to do ... ~~
translate.humar
}
\description{
%% ~~ A concise (1-5 lines) description of what the function does. ~~
This package translates the column names in the humar data set from Ice... |
/DomacaNaloga3/arhiv/naloga2Andraz.r | no_license | tinarazic/machine_learning | R | false | false | 8,562 | r | ||
setwd("/home/user/education/rprogs")
library(tidyverse)
mpg
?mpg
ggplot(data=mpg) +
geom_point(mapping = aes(x=displ, y = hwy))
ggplot(data=mpg)
nrow(mtcars)
ncol(mtcars)
ggplot(data = mpg) +
geom_point(mapping = aes(x = hwy, y = cyl))
ggplot(data = mpg) +
geom_point(mapping = aes(x = class, y = drv))
ggp... | /ggplot.R | no_license | ArtHouse5/r_progs | R | false | false | 2,815 | r | setwd("/home/user/education/rprogs")
library(tidyverse)
mpg
?mpg
ggplot(data=mpg) +
geom_point(mapping = aes(x=displ, y = hwy))
ggplot(data=mpg)
nrow(mtcars)
ncol(mtcars)
ggplot(data = mpg) +
geom_point(mapping = aes(x = hwy, y = cyl))
ggplot(data = mpg) +
geom_point(mapping = aes(x = class, y = drv))
ggp... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/stat_summed_mean_difference.R
\name{stat_summed_mean_difference}
\alias{stat_summed_mean_difference}
\title{Mean difference test statistic.}
\usage{
stat_summed_mean_difference(data)
}
\arguments{
\item{data}{A data frame which contains colum... | /man/stat_summed_mean_difference.Rd | no_license | jlkravitz/texttest | R | false | true | 400 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/stat_summed_mean_difference.R
\name{stat_summed_mean_difference}
\alias{stat_summed_mean_difference}
\title{Mean difference test statistic.}
\usage{
stat_summed_mean_difference(data)
}
\arguments{
\item{data}{A data frame which contains colum... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/CovariateGraph.R
\name{CovariateGraph}
\alias{CovariateGraph}
\title{CovariateGraph}
\usage{
Value <- CovariateGraph(X, nbin)
}
\arguments{
\item{X}{Data of primary variate X[, 1] and covariate X[, 2] (double(n, 2))}
\item{nbin}{(optional) N... | /man/CovariateGraph.Rd | no_license | ceesfdevalk/EVTools | R | false | true | 1,254 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/CovariateGraph.R
\name{CovariateGraph}
\alias{CovariateGraph}
\title{CovariateGraph}
\usage{
Value <- CovariateGraph(X, nbin)
}
\arguments{
\item{X}{Data of primary variate X[, 1] and covariate X[, 2] (double(n, 2))}
\item{nbin}{(optional) N... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/IO-methods.R
\name{import_biom}
\alias{import_biom}
\title{Import phyloseq data from biom-format file}
\usage{
import_biom(BIOMfilename,
treefilename=NULL, refseqfilename=NULL, refseqFunction=readDNAStringSet, refseqArgs=NULL,
parseFunctio... | /man/import_biom.Rd | no_license | antagomir/phyloseq | R | false | true | 8,232 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/IO-methods.R
\name{import_biom}
\alias{import_biom}
\title{Import phyloseq data from biom-format file}
\usage{
import_biom(BIOMfilename,
treefilename=NULL, refseqfilename=NULL, refseqFunction=readDNAStringSet, refseqArgs=NULL,
parseFunctio... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/main.R
\name{rlomax}
\alias{rlomax}
\title{rlomax}
\usage{
rlomax(n, alpha, lambda)
}
\description{
Draws from the lomax (Pareto type II) distribution with shape alpha and scale lambda.
}
| /man/rlomax.Rd | permissive | bobverity/bobFunctions | R | false | true | 266 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/main.R
\name{rlomax}
\alias{rlomax}
\title{rlomax}
\usage{
rlomax(n, alpha, lambda)
}
\description{
Draws from the lomax (Pareto type II) distribution with shape alpha and scale lambda.
}
|
\name{accuracy}
\alias{accuracy}
%- Also NEED an '\alias' for EACH other topic documented here.
\title{ Calculates the accuracy of a matrix }
\description{
Calculates the accuracy of a given matrix.
}
\usage{
accuracy(accuracy_matrix, classification_vector, config, return_hit_vector = TRUE)
}
%- maybe also 'usage' fo... | /man/accuracy.Rd | no_license | cran/frbf | R | false | false | 1,272 | rd | \name{accuracy}
\alias{accuracy}
%- Also NEED an '\alias' for EACH other topic documented here.
\title{ Calculates the accuracy of a matrix }
\description{
Calculates the accuracy of a given matrix.
}
\usage{
accuracy(accuracy_matrix, classification_vector, config, return_hit_vector = TRUE)
}
%- maybe also 'usage' fo... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/conversion.R
\name{convert_cols}
\alias{convert_cols}
\alias{convert_cols.data.table}
\title{convert all columns of specified type to another type}
\usage{
convert_cols(x, ...)
\method{convert_cols}{data.table}(x, from_class, to_class, inpla... | /man/convert_cols.Rd | permissive | vh-d/RETL | R | false | true | 572 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/conversion.R
\name{convert_cols}
\alias{convert_cols}
\alias{convert_cols.data.table}
\title{convert all columns of specified type to another type}
\usage{
convert_cols(x, ...)
\method{convert_cols}{data.table}(x, from_class, to_class, inpla... |
library(testthat)
library(FAtools)
test_check("FAtools")
| /tests/testthat.R | no_license | Shareryu/FAtools | R | false | false | 58 | r | library(testthat)
library(FAtools)
test_check("FAtools")
|
#:# libraries
library(digest)
library(mlr)
library(OpenML)
library(farff)
#:# config
set.seed(1)
#:# data
dataset <- getOMLDataSet(data.name = "cmc")
head(dataset$data)
#:# preprocessing
head(dataset$data)
#:# model
task = makeClassifTask(id = "task", data = dataset$data, target = "binaryClass")
lrn = makeLearner("... | /models/openml_cmc/classification_binaryClass/8f19495b5a800014be447eb3fbdefe7d/code.R | no_license | pysiakk/CaseStudies2019S | R | false | false | 680 | r | #:# libraries
library(digest)
library(mlr)
library(OpenML)
library(farff)
#:# config
set.seed(1)
#:# data
dataset <- getOMLDataSet(data.name = "cmc")
head(dataset$data)
#:# preprocessing
head(dataset$data)
#:# model
task = makeClassifTask(id = "task", data = dataset$data, target = "binaryClass")
lrn = makeLearner("... |
###########################################################################
# reduced skillspace estimation
gdm_est_skillspace <- function(Ngroup, pi.k , Z, G , delta , eps=1E-10 ){
# gg <- 1
covdelta <- as.list(1:G)
for (gg in 1:G){
ntheta <- Ngroup[gg] * pi.k[,gg]
ntheta <- ntheta / sum(ntheta )
lnth... | /R/gdm_est_skillspace.R | no_license | strategist922/CDM | R | false | false | 729 | r |
###########################################################################
# reduced skillspace estimation
gdm_est_skillspace <- function(Ngroup, pi.k , Z, G , delta , eps=1E-10 ){
# gg <- 1
covdelta <- as.list(1:G)
for (gg in 1:G){
ntheta <- Ngroup[gg] * pi.k[,gg]
ntheta <- ntheta / sum(ntheta )
lnth... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/open.R
\name{openSesame}
\alias{openSesame}
\title{The openSesame pipeline}
\usage{
openSesame(x, platform = "", manifest = NULL, what = "beta",
BPPARAM = SerialParam(), ...)
}
\arguments{
\item{x}{SigSet(s), IDAT prefix(es), minfi GenomicR... | /man/openSesame.Rd | permissive | jamorrison/sesame | R | false | true | 1,124 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/open.R
\name{openSesame}
\alias{openSesame}
\title{The openSesame pipeline}
\usage{
openSesame(x, platform = "", manifest = NULL, what = "beta",
BPPARAM = SerialParam(), ...)
}
\arguments{
\item{x}{SigSet(s), IDAT prefix(es), minfi GenomicR... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/HRJfunctions.R
\name{writeHRJAccessDatabase}
\alias{writeHRJAccessDatabase}
\title{(HRJ) Write HRJ "B" & "C" tables to MS Access database.}
\usage{
writeHRJAccessDatabase(hrj, filename)
}
\arguments{
\item{hrj}{A list usually comprising of tw... | /man/writeHRJAccessDatabase.Rd | no_license | seananderson/ctctools | R | false | true | 1,306 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/HRJfunctions.R
\name{writeHRJAccessDatabase}
\alias{writeHRJAccessDatabase}
\title{(HRJ) Write HRJ "B" & "C" tables to MS Access database.}
\usage{
writeHRJAccessDatabase(hrj, filename)
}
\arguments{
\item{hrj}{A list usually comprising of tw... |
\name{anRpackage-package}
\alias{anRpackage-package}
\alias{anRpackage}
\docType{package}
\title{
What the package does (short line)
~~ package title ~~
}
\description{
More about what it does (maybe more than one line)
~~ A concise (1-5 lines) description of the package ~~
}
\details{
\tabular{ll}{
Package: \tab anRpa... | /folders/anRpackage/man/anRpackage-package.Rd | permissive | bwtian/Rtemplate | R | false | false | 1,051 | rd | \name{anRpackage-package}
\alias{anRpackage-package}
\alias{anRpackage}
\docType{package}
\title{
What the package does (short line)
~~ package title ~~
}
\description{
More about what it does (maybe more than one line)
~~ A concise (1-5 lines) description of the package ~~
}
\details{
\tabular{ll}{
Package: \tab anRpa... |
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