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 |
|---|---|---|---|---|---|---|---|---|---|
##' Add RDF data cube codelist to RDF store
##'
##' This function could be split into two function corresponding to the usage.
##' @param obsData Data Frame with the data for which the code list is to be generated
##' @param codeType Character "DATA" or "SDTM".
##' "DATA" to derive code list from the data.
##' "SDTM" t... | /rrdfqb/R/buildCodelist.R | no_license | rjsheperd/rrdfqbcrnd0 | R | false | false | 19,314 | r | ##' Add RDF data cube codelist to RDF store
##'
##' This function could be split into two function corresponding to the usage.
##' @param obsData Data Frame with the data for which the code list is to be generated
##' @param codeType Character "DATA" or "SDTM".
##' "DATA" to derive code list from the data.
##' "SDTM" t... |
legend(4, 400, c("Orange", "Appple", "Banana"), cex=0.8, col=c("red","green","blue"), pch=21, lty=1:3)
| /work/r데이터분석_예제파일/예제/4_16.R | no_license | bass4th/R | R | false | false | 103 | r | legend(4, 400, c("Orange", "Appple", "Banana"), cex=0.8, col=c("red","green","blue"), pch=21, lty=1:3)
|
cv.ncvsurv <- function(X, y, ..., nfolds=10, seed, returnY=FALSE, trace=FALSE, events.only=TRUE) {
## Error checking
if (class(X) != "matrix") {
tmp <- try(X <- as.matrix(X), silent=TRUE)
if (class(tmp)[1] == "try-error") stop("X must be a matrix or able to be coerced to a matrix")
}
if (class(y) != "m... | /R/cv.ncvsurv.R | no_license | YaohuiZeng/ncvreg | R | false | false | 1,926 | r | cv.ncvsurv <- function(X, y, ..., nfolds=10, seed, returnY=FALSE, trace=FALSE, events.only=TRUE) {
## Error checking
if (class(X) != "matrix") {
tmp <- try(X <- as.matrix(X), silent=TRUE)
if (class(tmp)[1] == "try-error") stop("X must be a matrix or able to be coerced to a matrix")
}
if (class(y) != "m... |
library(lubridate) #needed library
#An initial inspection reveals the general location of desired data in the
#larger file. This first part reads in that section.
#This assumes the file household_power_consumption.txt is in the working
#directory.
hpc <- read.table("household_power_consumption.txt",
... | /plot4.R | no_license | ttegt/ExData_Plotting1 | R | false | false | 2,177 | r | library(lubridate) #needed library
#An initial inspection reveals the general location of desired data in the
#larger file. This first part reads in that section.
#This assumes the file household_power_consumption.txt is in the working
#directory.
hpc <- read.table("household_power_consumption.txt",
... |
#************************************Investment Case Study****************************************************
#*********************************** Loading libraries ***********************************************
library(tidyr)
library(dplyr)
library(stringr)
#Loading data in the data frames
companies <... | /Solution.R | no_license | kanupriya-singh/investment-case-study-R | R | false | false | 11,742 | r | #************************************Investment Case Study****************************************************
#*********************************** Loading libraries ***********************************************
library(tidyr)
library(dplyr)
library(stringr)
#Loading data in the data frames
companies <... |
knn.multi.sim <- function(Z, ny = dim(Z)[1]){
sims <- array(0,dim=c(dim(Z),nsims))
K <- sqrt(ny)
W <- 1/(1:K)
W <- cumsum( W/sum(W) )
for(i in 1:nsims){
this.sim <- array(0,c(ny*12,2))
## Start with a previous Dec value..
Z.last <- rbind( Z[sample(1:ny,1), 12, ] )
for(j in 1:(ny*12)){
month ... | /data-analysis/4-multivariate/src/knn-multi-sim.R | no_license | cameronbracken/classy | R | false | false | 1,109 | r | knn.multi.sim <- function(Z, ny = dim(Z)[1]){
sims <- array(0,dim=c(dim(Z),nsims))
K <- sqrt(ny)
W <- 1/(1:K)
W <- cumsum( W/sum(W) )
for(i in 1:nsims){
this.sim <- array(0,c(ny*12,2))
## Start with a previous Dec value..
Z.last <- rbind( Z[sample(1:ny,1), 12, ] )
for(j in 1:(ny*12)){
month ... |
##Chapter 14 Notes##
#finish when you get the chance | /chapter.14.tanjanay.R | no_license | paul-shannon/learningR | R | false | false | 52 | r | ##Chapter 14 Notes##
#finish when you get the chance |
#' @title taxize authentication
#'
#' @description Help on authentication
#'
#' @name taxize-authentication
#' @aliases authentication
#' @seealso [key_helpers()]
#'
#' @section What is an API?:
#' An API is an Application Programming Interface. The term "API" can be used
#' for lots of scenarios, but in this case we... | /R/taxize-authentication.R | permissive | puyo/taxize | R | false | false | 2,513 | r | #' @title taxize authentication
#'
#' @description Help on authentication
#'
#' @name taxize-authentication
#' @aliases authentication
#' @seealso [key_helpers()]
#'
#' @section What is an API?:
#' An API is an Application Programming Interface. The term "API" can be used
#' for lots of scenarios, but in this case we... |
epa=read.csv("epa_lista.csv")
nombres=read.csv("../DICCIONARIO.csv")[c("CAS","NOMBRE.QUIMICO")]
A=merge(epa,nombres,by="CAS",all.x=TRUE)
write.csv(A,"epa_lista_castellano.csv")
| /EPA/traducirNombres.R | permissive | gauss-ma/toxDB | R | false | false | 180 | r | epa=read.csv("epa_lista.csv")
nombres=read.csv("../DICCIONARIO.csv")[c("CAS","NOMBRE.QUIMICO")]
A=merge(epa,nombres,by="CAS",all.x=TRUE)
write.csv(A,"epa_lista_castellano.csv")
|
library(tidyverse)
data <- read_csv("data/dataset_hr.csv",
col_names = TRUE)
data$index<-1:nrow(data)
head(data)
summary(data)
data.long<-data%>%pivot_longer(cols=`14.6`:`661.2`,names_to = "size",values_to = "value")
#no values below zero
data.long%>%filter(value<0)
#921 values of exactly zero. Fill ... | /code/correlation-matrix.R | no_license | OBaerenbold/UFP-TIES | R | false | false | 3,953 | r | library(tidyverse)
data <- read_csv("data/dataset_hr.csv",
col_names = TRUE)
data$index<-1:nrow(data)
head(data)
summary(data)
data.long<-data%>%pivot_longer(cols=`14.6`:`661.2`,names_to = "size",values_to = "value")
#no values below zero
data.long%>%filter(value<0)
#921 values of exactly zero. Fill ... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/report.R
\name{report_progress}
\alias{report_progress}
\title{Print issue-milestone progress in RMarkdown friendly way}
\usage{
report_progress(issues, group_var = "milestone_title", link_url = TRUE,
show_ratio = TRUE, show_pct = TRUE)
}
\... | /man/report_progress.Rd | permissive | silvrwolfboy/projmgr | R | false | true | 2,269 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/report.R
\name{report_progress}
\alias{report_progress}
\title{Print issue-milestone progress in RMarkdown friendly way}
\usage{
report_progress(issues, group_var = "milestone_title", link_url = TRUE,
show_ratio = TRUE, show_pct = TRUE)
}
\... |
#################### 1. Setting environment ##################################
# Load SparkR
spark_path <- '/usr/local/spark'
if (nchar(Sys.getenv("SPARK_HOME")) < 1) {
Sys.setenv(SPARK_HOME = spark_path)
}
library(SparkR, lib.loc = c(file.path(Sys.getenv("SPARK_HOME"), "R", "lib")))
sparkR.session(master = "ya... | /NYC Parking Ticket Case Study/NYC_case_study.R | no_license | nayakvidya/PGDDS-IIITB | R | false | false | 45,366 | r | #################### 1. Setting environment ##################################
# Load SparkR
spark_path <- '/usr/local/spark'
if (nchar(Sys.getenv("SPARK_HOME")) < 1) {
Sys.setenv(SPARK_HOME = spark_path)
}
library(SparkR, lib.loc = c(file.path(Sys.getenv("SPARK_HOME"), "R", "lib")))
sparkR.session(master = "ya... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/test.R
\name{test}
\alias{test}
\title{Bootstrap based test for covariate selection}
\usage{
test(x, y, method = "lm", family = "gaussian", nboot = 50,
speedup = TRUE, qmin = NULL, unique = FALSE, q = NULL,
bootseed = NULL, cluster = TRUE... | /man/test.Rd | no_license | sestelo/fwdselect | R | false | true | 4,481 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/test.R
\name{test}
\alias{test}
\title{Bootstrap based test for covariate selection}
\usage{
test(x, y, method = "lm", family = "gaussian", nboot = 50,
speedup = TRUE, qmin = NULL, unique = FALSE, q = NULL,
bootseed = NULL, cluster = TRUE... |
severity = function(mu0, xbar, sigma, n, alpha)
{
require(graphics)
### check inputs ###
mu0 = as.integer(mu0) # make sure it is an integer
n = as.integer(n) # make sure it is an integer
sigma = as.numeric(sigma)
alpha = as.numeric(alpha)
if(class(xbar) != "numeric")
{
xbar = as.numeric(xbar)
}
###... | /severity/R/severity.R | no_license | ingted/R-Examples | R | false | false | 6,069 | r | severity = function(mu0, xbar, sigma, n, alpha)
{
require(graphics)
### check inputs ###
mu0 = as.integer(mu0) # make sure it is an integer
n = as.integer(n) # make sure it is an integer
sigma = as.numeric(sigma)
alpha = as.numeric(alpha)
if(class(xbar) != "numeric")
{
xbar = as.numeric(xbar)
}
###... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/consistency.R
\name{consistency}
\alias{consistency}
\alias{inconsistency}
\title{MSC network meta-analysis models}
\usage{
consistency(x, mods = NULL, ...)
inconsistency(x, mods = NULL, ...)
}
\arguments{
\item{x}{A set of aggregated perfor... | /man/consistency.Rd | no_license | srhaile/mscpredmodel | R | false | true | 2,407 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/consistency.R
\name{consistency}
\alias{consistency}
\alias{inconsistency}
\title{MSC network meta-analysis models}
\usage{
consistency(x, mods = NULL, ...)
inconsistency(x, mods = NULL, ...)
}
\arguments{
\item{x}{A set of aggregated perfor... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/exportMetaData.R
\name{exportMetaData}
\alias{exportMetaData}
\alias{exportMetaData.redcapApiConnection}
\alias{exportMetaData.redcapDbConnection}
\title{Export Meta Data from a REDCap Database}
\usage{
exportMetaData(rcon, ...)
\method{expo... | /man/exportMetaData.Rd | no_license | thensle/redcapAPI | R | false | true | 1,632 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/exportMetaData.R
\name{exportMetaData}
\alias{exportMetaData}
\alias{exportMetaData.redcapApiConnection}
\alias{exportMetaData.redcapDbConnection}
\title{Export Meta Data from a REDCap Database}
\usage{
exportMetaData(rcon, ...)
\method{expo... |
t <- read.table("household_power_consumption.txt", header=TRUE, sep=";", na.strings = "?", colClasses = c('character','character','numeric','numeric','numeric','numeric','numeric','numeric','numeric'))
## Format date to Type Date
t$Date <- as.Date(t$Date, "%d/%m/%Y")
## Filter data set from Feb. 1, 2007 to Feb. 2, 2007... | /plot3.R | no_license | N-Nirpeksh/ExData_Plotting1 | R | false | false | 1,199 | r | t <- read.table("household_power_consumption.txt", header=TRUE, sep=";", na.strings = "?", colClasses = c('character','character','numeric','numeric','numeric','numeric','numeric','numeric','numeric'))
## Format date to Type Date
t$Date <- as.Date(t$Date, "%d/%m/%Y")
## Filter data set from Feb. 1, 2007 to Feb. 2, 2007... |
# Generating automatic tests for input checks.
for(dens in densities) {
eval(call("context", paste0("Input check: ", dens)))
eval(call("expect_error", call(dens, "x")))
eval(call("expect_error", call(dens, lm)))
eval(call("expect_error", call(dens, replicate(3, 1:3))))
eval(call("expect_error", call(dens, NA... | /tests/testthat/test_automatic.R | permissive | vbaliga/univariateML | R | false | false | 328 | r | # Generating automatic tests for input checks.
for(dens in densities) {
eval(call("context", paste0("Input check: ", dens)))
eval(call("expect_error", call(dens, "x")))
eval(call("expect_error", call(dens, lm)))
eval(call("expect_error", call(dens, replicate(3, 1:3))))
eval(call("expect_error", call(dens, NA... |
#' movies
#'
#' A dataframe containing information about the top 5000 grossing movies of all time.
#'
#'
#' @format A data frame containing 5000 rows and 13 columns
#' \describe{
#' \item{name}{Movie name}
#' \item{rating}{MPAA rating}
#' \item{genre}{Movie genre}
#' \item{creative.type}{Creative type}
#' \it... | /R/movies_doc.R | no_license | ndphillips/yarrr | R | false | false | 872 | r | #' movies
#'
#' A dataframe containing information about the top 5000 grossing movies of all time.
#'
#'
#' @format A data frame containing 5000 rows and 13 columns
#' \describe{
#' \item{name}{Movie name}
#' \item{rating}{MPAA rating}
#' \item{genre}{Movie genre}
#' \item{creative.type}{Creative type}
#' \it... |
ff_opti_bisect_pmap_multi <- function(df, fc_withroot,
fl_lower_x, fl_upper_x,
ls_svr_df_in_func,
svr_root_x = 'x',
it_iter_tol = 50, fl_zero_tol = ... | /R/ff_opti_bisect.R | permissive | FanWangEcon/REconTools | R | false | false | 7,594 | r | ff_opti_bisect_pmap_multi <- function(df, fc_withroot,
fl_lower_x, fl_upper_x,
ls_svr_df_in_func,
svr_root_x = 'x',
it_iter_tol = 50, fl_zero_tol = ... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/freqlist.R
\name{freqlist}
\alias{freqlist}
\alias{freqlist.table}
\alias{freqlist.formula}
\title{freqlist}
\usage{
freqlist(object, ...)
\method{freqlist}{table}(object, na.options = c("include", "showexclude",
"remove"), strata = NULL, ... | /man/freqlist.Rd | no_license | bzkrouse/arsenal | R | false | true | 2,772 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/freqlist.R
\name{freqlist}
\alias{freqlist}
\alias{freqlist.table}
\alias{freqlist.formula}
\title{freqlist}
\usage{
freqlist(object, ...)
\method{freqlist}{table}(object, na.options = c("include", "showexclude",
"remove"), strata = NULL, ... |
# load packages
library(sf)
library(raster)
suppressMessages(library(dplyr))
library(mapview)
# set paths
data_dir <- "data/NDR/"
# utility functions
raster_sum <- function(x) sum(x[], na.rm = TRUE)
get_values_from_rasters <- function(sf_point, raster_list){
lapply(raster_list, function(x) raster::extract(x, sf_po... | /scripts/99_utils.R | no_license | jsta/invest_ndr | R | false | false | 328 | r | # load packages
library(sf)
library(raster)
suppressMessages(library(dplyr))
library(mapview)
# set paths
data_dir <- "data/NDR/"
# utility functions
raster_sum <- function(x) sum(x[], na.rm = TRUE)
get_values_from_rasters <- function(sf_point, raster_list){
lapply(raster_list, function(x) raster::extract(x, sf_po... |
library(plyr)
library(ggplot2)
if(!exists("NEI")) NEI <- readRDS("exdata_data_NEI_data/summarySCC_PM25.rds")
if(!exists("SCC")) SCC <- readRDS("exdata_data_NEI_data/Source_Classification_Code.rds")
scCoal <- SCC[grepl("coal", tolower(SCC$EI.Sector)),]
data <- join(scCoal, NEI, by="SCC", type="inner")
aggData <- dat... | /plot4.R | permissive | Vongo/Exploratory2 | R | false | false | 1,026 | r | library(plyr)
library(ggplot2)
if(!exists("NEI")) NEI <- readRDS("exdata_data_NEI_data/summarySCC_PM25.rds")
if(!exists("SCC")) SCC <- readRDS("exdata_data_NEI_data/Source_Classification_Code.rds")
scCoal <- SCC[grepl("coal", tolower(SCC$EI.Sector)),]
data <- join(scCoal, NEI, by="SCC", type="inner")
aggData <- dat... |
#' Exponential distribution maximum likelihood estimation
#'
#' The maximum likelihood estimate of `rate` is the inverse sample mean.
#'
#' For the density function of the exponential distribution see
#' [Exponential][stats::Exponential].
#'
#' @param x a (non-empty) numeric vector of data values.
#' @param na.rm lo... | /R/mlexp.R | permissive | JonasMoss/univariateML | R | false | false | 1,782 | r | #' Exponential distribution maximum likelihood estimation
#'
#' The maximum likelihood estimate of `rate` is the inverse sample mean.
#'
#' For the density function of the exponential distribution see
#' [Exponential][stats::Exponential].
#'
#' @param x a (non-empty) numeric vector of data values.
#' @param na.rm lo... |
library(ggplot2)
library(dplyr)
source('R/analysis_utils.R')
rna.meta <- readRDS('seurat/RNA_seq_metadata.rds')
atac.meta <- readRDS('ATAC_metadata_df.rds')
atac.meta$sample <- rna.meta$sample
comb.meta <- rbind(rna.meta, atac.meta)
comb.meta$Assay <- c(rep("RNA",18),rep("ATAC",18))
collapsed.comb.meta <- comb.meta... | /R/plot_metadata.R | no_license | sq-96/heart_atlas | R | false | false | 1,965 | r |
library(ggplot2)
library(dplyr)
source('R/analysis_utils.R')
rna.meta <- readRDS('seurat/RNA_seq_metadata.rds')
atac.meta <- readRDS('ATAC_metadata_df.rds')
atac.meta$sample <- rna.meta$sample
comb.meta <- rbind(rna.meta, atac.meta)
comb.meta$Assay <- c(rep("RNA",18),rep("ATAC",18))
collapsed.comb.meta <- comb.meta... |
setwd("~/dev/prime_project/R_code/data/")
# loading the variables names based on the NHANES code book
source("./real_data/NHANES/subset_data_based_on_hypothesis/variable_names/exposure_name_loading.R")
# loading some helper functions for update LC
source("./real_data/NHANES/subset_data_based_on_hypothesis/LC_update.R")... | /R_code/data/real_data/NHANES/subset_data_based_on_hypothesis/missing_PCB_and_LC.R | no_license | wal615/prime_project | R | false | false | 8,421 | r | setwd("~/dev/prime_project/R_code/data/")
# loading the variables names based on the NHANES code book
source("./real_data/NHANES/subset_data_based_on_hypothesis/variable_names/exposure_name_loading.R")
# loading some helper functions for update LC
source("./real_data/NHANES/subset_data_based_on_hypothesis/LC_update.R")... |
## ui.R
library(shiny)
library(rCharts)
shinyUI(fluidPage( conditionalPanel(
titlePanel("Przykład rCharts")),
sidebarLayout(
sidebarPanel(
selectInput("rodzaj", label = "Wybierz rodzaj wykresu:",
choices = list("slupkowy", "liniowy"),
selected = "liniowy"),
... | /magisterskie/5_rok/1_semestr/TWDwR/laboratoria/RCharts/G3/ui.R | no_license | sommermarta/studia | R | false | false | 733 | r | ## ui.R
library(shiny)
library(rCharts)
shinyUI(fluidPage( conditionalPanel(
titlePanel("Przykład rCharts")),
sidebarLayout(
sidebarPanel(
selectInput("rodzaj", label = "Wybierz rodzaj wykresu:",
choices = list("slupkowy", "liniowy"),
selected = "liniowy"),
... |
options(scipen=100)
setDir=""
# Rscript plot_signif_TADs_overallTop.R
# Rscript plot_signif_TADs_overallTop.R wt_vs_mut
# Rscript plot_signif_TADs_overallTop.R norm_vs_tumor
# Rscript plot_signif_TADs_overallTop.R subtypes
script_name <- "plot_signif_TADs_overallTop.R"
startTime <- Sys.time()
cat("> START ", scrip... | /plot_signif_TADs_overallTop.R | no_license | marzuf/v2_Yuanlong_Cancer_HiC_data_TAD_DA | R | false | false | 3,362 | r | options(scipen=100)
setDir=""
# Rscript plot_signif_TADs_overallTop.R
# Rscript plot_signif_TADs_overallTop.R wt_vs_mut
# Rscript plot_signif_TADs_overallTop.R norm_vs_tumor
# Rscript plot_signif_TADs_overallTop.R subtypes
script_name <- "plot_signif_TADs_overallTop.R"
startTime <- Sys.time()
cat("> START ", scrip... |
### R code from vignette source 'cias.Rnw'
###################################################
### code chunk number 1: set_seed_chunk
###################################################
set.seed(0)
###################################################
### code chunk number 2: time_saver
##############################... | /inst/doc/cias.R | no_license | cran/multivator | R | false | false | 3,985 | r | ### R code from vignette source 'cias.Rnw'
###################################################
### code chunk number 1: set_seed_chunk
###################################################
set.seed(0)
###################################################
### code chunk number 2: time_saver
##############################... |
rm(list=ls())
##Installing and loading libraries (RUN THIS PART LINE BY LINE!!)####
# Install and load package devtools
if (!requireNamespace("devtools"))
install.packages("devtools")
library("devtools") #Use of version 2.0.2
# Install and load package Bikecourse
install_github('NDFabri/Bike_sharing_course/packages... | /scripts/Bike sharing.R | no_license | NDFabri/Bike_sharing_course | R | false | false | 4,716 | r | rm(list=ls())
##Installing and loading libraries (RUN THIS PART LINE BY LINE!!)####
# Install and load package devtools
if (!requireNamespace("devtools"))
install.packages("devtools")
library("devtools") #Use of version 2.0.2
# Install and load package Bikecourse
install_github('NDFabri/Bike_sharing_course/packages... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/abundance.R
\name{abundance}
\alias{abundance}
\title{Abundance}
\usage{
abundance(
phylo_ob,
level = "genus",
id = "abcno",
sample_id = "Time",
relative_abun = TRUE,
strata = NULL,
strata_val = NULL,
remove_collapsed_taxa = F... | /man/abundance.Rd | no_license | jstokholm/abundance | R | false | true | 1,401 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/abundance.R
\name{abundance}
\alias{abundance}
\title{Abundance}
\usage{
abundance(
phylo_ob,
level = "genus",
id = "abcno",
sample_id = "Time",
relative_abun = TRUE,
strata = NULL,
strata_val = NULL,
remove_collapsed_taxa = F... |
\name{bas.glm}
\alias{bas.glm}
\title{Bayesian Adaptive Sampling Without Replacement for Variable Selection in Generalized Linear Models}
\description{Sample with or without replacement from a posterior distribution on GLMs}
\usage{
bas.glm(formula, family = binomial(link = "logit"), data,
weights, subset, offset, na... | /man/bas.glm.Rd | no_license | aespar21/BAS | R | false | false | 10,150 | rd | \name{bas.glm}
\alias{bas.glm}
\title{Bayesian Adaptive Sampling Without Replacement for Variable Selection in Generalized Linear Models}
\description{Sample with or without replacement from a posterior distribution on GLMs}
\usage{
bas.glm(formula, family = binomial(link = "logit"), data,
weights, subset, offset, na... |
rm(list=ls())
#Some functions and code to simulate predators depending on prey abundance
#######Some Functions#########
###Function to calculate unfished "SSBR", and abundance or biomass, or equilibrium characteristics given exploitation rate for delay-difference dynamics with Beverton-Holt SR.
#function(unfishedspr,d... | /PredScriptArchive/MSE_TernLink_AssBias.R | no_license | sgaichas/herringMSE | R | false | false | 16,137 | r | rm(list=ls())
#Some functions and code to simulate predators depending on prey abundance
#######Some Functions#########
###Function to calculate unfished "SSBR", and abundance or biomass, or equilibrium characteristics given exploitation rate for delay-difference dynamics with Beverton-Holt SR.
#function(unfishedspr,d... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/generateNoiseImage.R
\name{generateNoiseImage}
\alias{generateNoiseImage}
\title{Generate single noise image based on parameter vector}
\usage{
generateNoiseImage(params, p)
}
\arguments{
\item{params}{Vector with each value specifying the co... | /man/generateNoiseImage.Rd | no_license | rdotsch/rcicr | R | false | true | 714 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/generateNoiseImage.R
\name{generateNoiseImage}
\alias{generateNoiseImage}
\title{Generate single noise image based on parameter vector}
\usage{
generateNoiseImage(params, p)
}
\arguments{
\item{params}{Vector with each value specifying the co... |
test_metrics <- kf_init_metrics()
test_that("Input validation works", {
expect_error(kf_add_metric(test_metrics, "ROC"), "Name does not match required pattern.")
expect_error(kf_add_metric(test_metrics, name = "roc", value = "15"), "Value must be numeric.")
expect_error(kf_add_metric(test_metrics, name = "roc", ... | /tests/testthat/test-kf_add_metric.R | permissive | ndiquattro/kflow | R | false | false | 1,012 | r | test_metrics <- kf_init_metrics()
test_that("Input validation works", {
expect_error(kf_add_metric(test_metrics, "ROC"), "Name does not match required pattern.")
expect_error(kf_add_metric(test_metrics, name = "roc", value = "15"), "Value must be numeric.")
expect_error(kf_add_metric(test_metrics, name = "roc", ... |
#' Bisulfite conversion rate visualization
#'
#'Plot the bisulfite conversion rate for each sample
#'based on the pheno data in the bs object
#'@param bs bsseq object
#'@return Plot showing bisulfite conversion rate for each sample
#'@examples
#'directory <- system.file("extdata/bismark_data", package='scmeth')
#'bs <-... | /R/bsConversionPlot.R | no_license | aryeelab/scmeth | R | false | false | 811 | r | #' Bisulfite conversion rate visualization
#'
#'Plot the bisulfite conversion rate for each sample
#'based on the pheno data in the bs object
#'@param bs bsseq object
#'@return Plot showing bisulfite conversion rate for each sample
#'@examples
#'directory <- system.file("extdata/bismark_data", package='scmeth')
#'bs <-... |
setwd("C:/Users/lorenzo/Documents/Master in Economics/Programming Course/R/Hackathon")
#Inserting sample B
B <- read_csv("sample_B.csv", col_types = cols(new_hrs = col_double(), new_wage = col_double()))
B
#Table 2
#Period: 1967-79
B_6779 <- filter(B, year %in% 1968:1980)
B_6779 %>%
group_by(sex) %>%
summarize(m... | /Lorenzo/Table2.R | no_license | lorenzokaaks/Hackathon18 | R | false | false | 1,638 | r | setwd("C:/Users/lorenzo/Documents/Master in Economics/Programming Course/R/Hackathon")
#Inserting sample B
B <- read_csv("sample_B.csv", col_types = cols(new_hrs = col_double(), new_wage = col_double()))
B
#Table 2
#Period: 1967-79
B_6779 <- filter(B, year %in% 1968:1980)
B_6779 %>%
group_by(sex) %>%
summarize(m... |
# Create graphs for visualizations
# set seed for random processes
set.seed(617)
library(igraph)
library('cluster')
library('animation')
# Set to directory which contains files
setwd('/Users/angelavierling-claassen/Documents/DataScience/GayGraphs/DataFromTrials')
# read in the graph edges data and the nodes data
g... | /gaygraph_viz_old.R | no_license | techtronics/GayGraphs | R | false | false | 8,665 | r | # Create graphs for visualizations
# set seed for random processes
set.seed(617)
library(igraph)
library('cluster')
library('animation')
# Set to directory which contains files
setwd('/Users/angelavierling-claassen/Documents/DataScience/GayGraphs/DataFromTrials')
# read in the graph edges data and the nodes data
g... |
###
### low-level file handling functions
###
## txt format
get_txt <- function(f, ...) {
txt <- paste(readLines(con <- file(f, ...), warn = FALSE), collapse = "\n")
close(con)
data.frame(text = txt, stringsAsFactors = FALSE)
}
## csv format
get_csv <- function(path, text_field, ...) {
args <- list... | /R/get-functions.R | no_license | thrinu/readtext | R | false | false | 8,879 | r | ###
### low-level file handling functions
###
## txt format
get_txt <- function(f, ...) {
txt <- paste(readLines(con <- file(f, ...), warn = FALSE), collapse = "\n")
close(con)
data.frame(text = txt, stringsAsFactors = FALSE)
}
## csv format
get_csv <- function(path, text_field, ...) {
args <- list... |
# Install and load packages
package_names <- c("survey","dplyr","foreign","devtools")
lapply(package_names, function(x) if(!x %in% installed.packages()) install.packages(x))
lapply(package_names, require, character.only=T)
install_github("e-mitchell/meps_r_pkg/MEPS")
library(MEPS)
options(survey.lonely.ps... | /mepstrends/hc_use/json/code/r/totEXP__insurance__poverty__.r | permissive | RandomCriticalAnalysis/MEPS-summary-tables | R | false | false | 2,729 | r | # Install and load packages
package_names <- c("survey","dplyr","foreign","devtools")
lapply(package_names, function(x) if(!x %in% installed.packages()) install.packages(x))
lapply(package_names, require, character.only=T)
install_github("e-mitchell/meps_r_pkg/MEPS")
library(MEPS)
options(survey.lonely.ps... |
##########################################################################
# # R version:
# # File Name:
# # Author:
# # Process:
# # Inputs:
# # Outputs:
# # File history:
##########################################################################
setwd("/Users/fabiotejedor/Documents/TU_Delft_University/Thesis_Projec... | /03_pca_socioeconomic.R | no_license | fhtejedorg/Airbnb_Gentrification_AMS | R | false | false | 29,723 | r |
##########################################################################
# # R version:
# # File Name:
# # Author:
# # Process:
# # Inputs:
# # Outputs:
# # File history:
##########################################################################
setwd("/Users/fabiotejedor/Documents/TU_Delft_University/Thesis_Projec... |
# ---- functions-to-examine-temporal-patterns -------------------
# examine the pattern of measures over time for a given individual
temporal_pattern <- function(d,time, measure, seed_value = 42){
set.seed(seed_value)
d_long <- d
(ids <- sample(unique(d_long$id),1))
d1 <-d_long %>%
dplyr::filter(id %in% ids... | /scripts/common-functions.R | no_license | casslbrown/brown-2017-disseration | R | false | false | 3,669 | r | # ---- functions-to-examine-temporal-patterns -------------------
# examine the pattern of measures over time for a given individual
temporal_pattern <- function(d,time, measure, seed_value = 42){
set.seed(seed_value)
d_long <- d
(ids <- sample(unique(d_long$id),1))
d1 <-d_long %>%
dplyr::filter(id %in% ids... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/onsite.R
\name{get_mesoonsite}
\alias{get_mesoonsite}
\title{Get mesocosm onsite data}
\usage{
get_mesoonsite(onsitepath = file.path("Raw", "onsite"),
experiment = "SoilPlant")
}
\arguments{
\item{onsitepath}{character file.path to onsite r... | /man/get_mesoonsite.Rd | no_license | jsta/peatcollapse | R | false | true | 556 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/onsite.R
\name{get_mesoonsite}
\alias{get_mesoonsite}
\title{Get mesocosm onsite data}
\usage{
get_mesoonsite(onsitepath = file.path("Raw", "onsite"),
experiment = "SoilPlant")
}
\arguments{
\item{onsitepath}{character file.path to onsite r... |
wd <- getwd()
setwd("/Users/bobfridley/Documents/Coursera/03 - Getting and Cleaning Data/R-wd")
# load packages using sapply
# non-verbose (no package messages)
packages <- c("dplyr", "data.table")
loadp <- sapply(packages, library, character.only=TRUE, quietly=TRUE,
logical.return=TRUE)
if (!all(loadp)) {
... | /R-wd/quiz3-3.R | no_license | bobfridley/03-Getting-and-Cleaning-Data | R | false | false | 2,104 | r | wd <- getwd()
setwd("/Users/bobfridley/Documents/Coursera/03 - Getting and Cleaning Data/R-wd")
# load packages using sapply
# non-verbose (no package messages)
packages <- c("dplyr", "data.table")
loadp <- sapply(packages, library, character.only=TRUE, quietly=TRUE,
logical.return=TRUE)
if (!all(loadp)) {
... |
library(gamlss.countKinf)
### Name: KINBF
### Title: K-inflated Negative Binomial Family distributions for fitting a
### GAMLSS model
### Aliases: KINBF dKINBF pKINBF qKINBF rKINBF
### Keywords: distribution regression
### ** Examples
#------------------------------------------------------------------------------... | /data/genthat_extracted_code/gamlss.countKinf/examples/KINBF.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 2,737 | r | library(gamlss.countKinf)
### Name: KINBF
### Title: K-inflated Negative Binomial Family distributions for fitting a
### GAMLSS model
### Aliases: KINBF dKINBF pKINBF qKINBF rKINBF
### Keywords: distribution regression
### ** Examples
#------------------------------------------------------------------------------... |
####TEAD2 dependency in pancancer
library("ggplot2")
library("ggthemes")
data=read.delim("D:/demo/TEAD2_dependency_pancancer.txt",head=T,sep="\t")
p=ggplot(data,aes(x=Cancer_type,y=TEAD2))
pp=p+geom_boxplot(size=1,color="pink")+geom_point(size=3,color="black")
pp+theme_bw()+ylim(-3,3)
####YAP1 dependency in pa... | /dependency in pancancer.R | no_license | dreamerwu/Gene-dependency-in-pancancer | R | false | false | 1,060 | r | ####TEAD2 dependency in pancancer
library("ggplot2")
library("ggthemes")
data=read.delim("D:/demo/TEAD2_dependency_pancancer.txt",head=T,sep="\t")
p=ggplot(data,aes(x=Cancer_type,y=TEAD2))
pp=p+geom_boxplot(size=1,color="pink")+geom_point(size=3,color="black")
pp+theme_bw()+ylim(-3,3)
####YAP1 dependency in pa... |
testlist <- list(m = NULL, repetitions = 0L, in_m = structure(c(2.31584307392677e+77, 9.53818252170339e+295, 1.22810536108214e+146, 4.13693025791547e-221, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), .Dim = c(10L, 3L)))
result <- do.call(CNull:::communities_individual_based_sampling... | /CNull/inst/testfiles/communities_individual_based_sampling_alpha/AFL_communities_individual_based_sampling_alpha/communities_individual_based_sampling_alpha_valgrind_files/1615779108-test.R | no_license | akhikolla/updatedatatype-list2 | R | false | false | 348 | r | testlist <- list(m = NULL, repetitions = 0L, in_m = structure(c(2.31584307392677e+77, 9.53818252170339e+295, 1.22810536108214e+146, 4.13693025791547e-221, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), .Dim = c(10L, 3L)))
result <- do.call(CNull:::communities_individual_based_sampling... |
#' Setup environment variables for \code{slack.com} API
#'
#' Initialize all the environment variables \link{slackr} will need to use to
#' work properly.
#'
#' By default, \code{slackr} (and other functions) will use the \code{#general} room and a username
#' of \code{slackr()} with no emoji and the default \url{slack... | /R/slackr.R | no_license | arturochian/slackr | R | false | false | 18,143 | r | #' Setup environment variables for \code{slack.com} API
#'
#' Initialize all the environment variables \link{slackr} will need to use to
#' work properly.
#'
#' By default, \code{slackr} (and other functions) will use the \code{#general} room and a username
#' of \code{slackr()} with no emoji and the default \url{slack... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{kremlin_en}
\alias{kremlin_en}
\title{A dataset including all contents published on the English-language version of [kremlin.ru}
\format{
A data frame with 24338 rows and 8 columns:
\describe{
\item{doc_id}{the id ... | /man/kremlin_en.Rd | permissive | giocomai/tifkremlinen | R | false | true | 1,592 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{kremlin_en}
\alias{kremlin_en}
\title{A dataset including all contents published on the English-language version of [kremlin.ru}
\format{
A data frame with 24338 rows and 8 columns:
\describe{
\item{doc_id}{the id ... |
# Load app
library(shiny)
library(ggplot2)
# Define UI for application that draws a histogram
shinyUI(fluidPage(
# Application title
titlePanel("Correlation on Life Expectancy at Birth around the world (2015)"),
# Sidebar
sidebarLayout(
sidebarPanel(
radioButtons("radio", label = h3("Economic ... | /ui.R | no_license | jkosuke/ShinyApp | R | false | false | 2,175 | r | # Load app
library(shiny)
library(ggplot2)
# Define UI for application that draws a histogram
shinyUI(fluidPage(
# Application title
titlePanel("Correlation on Life Expectancy at Birth around the world (2015)"),
# Sidebar
sidebarLayout(
sidebarPanel(
radioButtons("radio", label = h3("Economic ... |
dataset<-read.table("household_power_consumption.txt",header=TRUE,sep=";",dec=".")
dataset$Date2<-as.Date(as.character(dataset$Date),"%d/%m/%Y")
newdata<-subset(dataset,Date2 >= as.Date("2007-02-01"))
newdata2<-subset(newdata,Date2 <= as.Date("2007-02-02"))
newdata2$datetime<-strptime(paste(newdata2$Date,newdata2$Time)... | /plot4.R | no_license | gitjo-1997/ExData_Plotting1 | R | false | false | 1,112 | r | dataset<-read.table("household_power_consumption.txt",header=TRUE,sep=";",dec=".")
dataset$Date2<-as.Date(as.character(dataset$Date),"%d/%m/%Y")
newdata<-subset(dataset,Date2 >= as.Date("2007-02-01"))
newdata2<-subset(newdata,Date2 <= as.Date("2007-02-02"))
newdata2$datetime<-strptime(paste(newdata2$Date,newdata2$Time)... |
##
## intsurv: Integrative Survival Models
## Copyright (C) 2017-2019 Wenjie Wang <wjwang.stat@gmail.com>
##
## This file is part of the R package intsurv.
##
## The R package intsurv is free software: You can redistribute it and/or
## modify it under the terms of the GNU General Public License as published by
## the ... | /fuzzedpackages/intsurv/R/simData4cure.R | no_license | akhikolla/testpackages | R | false | false | 7,942 | r | ##
## intsurv: Integrative Survival Models
## Copyright (C) 2017-2019 Wenjie Wang <wjwang.stat@gmail.com>
##
## This file is part of the R package intsurv.
##
## The R package intsurv is free software: You can redistribute it and/or
## modify it under the terms of the GNU General Public License as published by
## the ... |
rm(list=ls())
library(ggplot2);library(cvTools);library(MASS);library(plyr);library(dplyr); library(ggeffects);library(tseries); library(plm); library(nlme); library(lme4); library(lattice); library(car); library(lmerTest); library(optimx)
load("dataFS/Main/DaTS.RData")
# load("Rcodes/DecemberNew/KEN11d_stepNice.RData"... | /ddplyNewbie2.R | no_license | MonikaNovackova/Rvarious | R | false | false | 3,672 | r | rm(list=ls())
library(ggplot2);library(cvTools);library(MASS);library(plyr);library(dplyr); library(ggeffects);library(tseries); library(plm); library(nlme); library(lme4); library(lattice); library(car); library(lmerTest); library(optimx)
load("dataFS/Main/DaTS.RData")
# load("Rcodes/DecemberNew/KEN11d_stepNice.RData"... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/temp.kalman.R
\name{temp.kalman}
\alias{temp.kalman}
\title{Smooth temperature time series using a Kalman filter/ smoother}
\usage{
temp.kalman(wtr, watts, ampH=1, ...)
}
\arguments{
\item{wtr}{Vector (regular time series) of water t... | /man/temp.kalman.Rd | no_license | cran/LakeMetabolizer | R | false | true | 1,106 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/temp.kalman.R
\name{temp.kalman}
\alias{temp.kalman}
\title{Smooth temperature time series using a Kalman filter/ smoother}
\usage{
temp.kalman(wtr, watts, ampH=1, ...)
}
\arguments{
\item{wtr}{Vector (regular time series) of water t... |
#' @title XXX
#'
#' @description XXX
#'
#' @export
qtrend.f <- function(year,quarter,start.year=1958){
#Function to calculate 'trend' vector for time-series:
nyear=year-start.year
trend=quarter+nyear*4
trend
}
| /R/qtrend.r | no_license | einarhjorleifsson/datrasr | R | false | false | 213 | r | #' @title XXX
#'
#' @description XXX
#'
#' @export
qtrend.f <- function(year,quarter,start.year=1958){
#Function to calculate 'trend' vector for time-series:
nyear=year-start.year
trend=quarter+nyear*4
trend
}
|
# 1
library(ggplot2)
z <- ggplot(Eggs, aes(x = Week, y = Cases))
z + geom_point(aes(color = factor(Easter)))
# 2
df <- Eggs[,c(1,6:10)]
g <- ggplot(df, aes(Week))
g <- g + geom_line(aes(y=Egg.Pr), colour="red")
g <- g + geom_line(aes(y=Beef.Pr), colour="green")
g <- g + geom_line(aes(y=Pork.Pr), colour="yellow")
g <... | /SGH/R/h2/h2.R | no_license | Valkoiset/myrepo | R | false | false | 498 | r |
# 1
library(ggplot2)
z <- ggplot(Eggs, aes(x = Week, y = Cases))
z + geom_point(aes(color = factor(Easter)))
# 2
df <- Eggs[,c(1,6:10)]
g <- ggplot(df, aes(Week))
g <- g + geom_line(aes(y=Egg.Pr), colour="red")
g <- g + geom_line(aes(y=Beef.Pr), colour="green")
g <- g + geom_line(aes(y=Pork.Pr), colour="yellow")
g <... |
#!/usr/bin/Rscript
# inverse_methods.R Author "Nathan Wycoff <nathanbrwycoff@gmail.com>" Date 10.03.2017
source("forward_methods.R")
#TODO: Inverse methods may not work due to change of syntax for forward methods
################################################################################
## Functions for inverse... | /dev/inverse_methods.R | permissive | NathanWycoff/mds.methods | R | false | false | 4,003 | r | #!/usr/bin/Rscript
# inverse_methods.R Author "Nathan Wycoff <nathanbrwycoff@gmail.com>" Date 10.03.2017
source("forward_methods.R")
#TODO: Inverse methods may not work due to change of syntax for forward methods
################################################################################
## Functions for inverse... |
testlist <- list(A = structure(c(1.38997190095789e-309, 3.81575932257023e-236, 3.81571422914747e-236), .Dim = c(1L, 3L)), B = structure(0, .Dim = c(1L, 1L)))
result <- do.call(multivariance:::match_rows,testlist)
str(result) | /multivariance/inst/testfiles/match_rows/AFL_match_rows/match_rows_valgrind_files/1613125918-test.R | no_license | akhikolla/updatedatatype-list3 | R | false | false | 226 | r | testlist <- list(A = structure(c(1.38997190095789e-309, 3.81575932257023e-236, 3.81571422914747e-236), .Dim = c(1L, 3L)), B = structure(0, .Dim = c(1L, 1L)))
result <- do.call(multivariance:::match_rows,testlist)
str(result) |
#####################################
## VARIOUS PACKAGES REQUIRED
#####################################
## Back End
# Project Pursuit Package for Hyperplane SOlution
library(PPCI)
# JPEG package to read in Image
library(jpeg)
# Package to convert Data into Long Format
library... | /server.R | no_license | JacobBradleyKenyon/hyper-planes-in-images | R | false | false | 24,876 | r | #####################################
## VARIOUS PACKAGES REQUIRED
#####################################
## Back End
# Project Pursuit Package for Hyperplane SOlution
library(PPCI)
# JPEG package to read in Image
library(jpeg)
# Package to convert Data into Long Format
library... |
testlist <- list(ends = c(-1125300777L, 765849512L, -1760774663L, 791623263L, 1358782356L, -128659642L, -14914341L, 1092032927L, 1837701012L, 1632068659L), pts = c(1758370433L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,... | /IntervalSurgeon/inst/testfiles/rcpp_pile/AFL_rcpp_pile/rcpp_pile_valgrind_files/1609860670-test.R | no_license | akhikolla/updated-only-Issues | R | false | false | 728 | r | testlist <- list(ends = c(-1125300777L, 765849512L, -1760774663L, 791623263L, 1358782356L, -128659642L, -14914341L, 1092032927L, 1837701012L, 1632068659L), pts = c(1758370433L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,... |
\name{nonadditivity}
\alias{nonadditivity}
%- nonadditivity.
\title{ Nonadditivity model test }
\description{
The resistance for the transformable nonadditivity, due to J. W. Tukey,
is based on the detection of a curvilinear relation between y-est(y)
and est(y). A freedom degree for the transformable nona... | /man/nonadditivity.Rd | no_license | JeanLescut/agricolae | R | false | false | 1,595 | rd | \name{nonadditivity}
\alias{nonadditivity}
%- nonadditivity.
\title{ Nonadditivity model test }
\description{
The resistance for the transformable nonadditivity, due to J. W. Tukey,
is based on the detection of a curvilinear relation between y-est(y)
and est(y). A freedom degree for the transformable nona... |
ca <- commandArgs(trailingOnly = TRUE)
cat(" * compiling list of required packages\n")
pkglib <- file.path("Installer", "iNZightVIT", ".library")
if (!dir.exists(pkglib)) dir.create(pkglib)
pkgversions <- installed.packages(pkglib)[, 'Version']
repos <- c('https://r.docker.stat.auckland.ac.nz', 'https://cran.stat.auc... | /bootstrap.R | no_license | iNZightVIT/iNZightVIT-osx-installer | R | false | false | 2,871 | r | ca <- commandArgs(trailingOnly = TRUE)
cat(" * compiling list of required packages\n")
pkglib <- file.path("Installer", "iNZightVIT", ".library")
if (!dir.exists(pkglib)) dir.create(pkglib)
pkgversions <- installed.packages(pkglib)[, 'Version']
repos <- c('https://r.docker.stat.auckland.ac.nz', 'https://cran.stat.auc... |
## Downloading the data and unzipping it
if(!file.exists("household_power_consumption.txt")) {
download.file("https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhousehold_power_consumption.zip", destfile = "data.zip")
unzip("data.zip")
}
## Reading data and keeping only certain dates
data <- read.table("househo... | /plot3.R | no_license | vlavikainen/ExData_Plotting1 | R | false | false | 1,155 | r | ## Downloading the data and unzipping it
if(!file.exists("household_power_consumption.txt")) {
download.file("https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhousehold_power_consumption.zip", destfile = "data.zip")
unzip("data.zip")
}
## Reading data and keeping only certain dates
data <- read.table("househo... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/scoring_matrices.R
\name{make_scoring_matrix_aem}
\alias{make_scoring_matrix_aem}
\title{Make scoring matrix}
\usage{
make_scoring_matrix_aem(
responses,
sequence = c("mae", "mea", "aem", "ame", "ema", "eam", "gpcm"),
nMiddle = 2L,
nE... | /man/make_scoring_matrix_aem.Rd | no_license | tzoltak/rstyles | R | false | true | 5,857 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/scoring_matrices.R
\name{make_scoring_matrix_aem}
\alias{make_scoring_matrix_aem}
\title{Make scoring matrix}
\usage{
make_scoring_matrix_aem(
responses,
sequence = c("mae", "mea", "aem", "ame", "ema", "eam", "gpcm"),
nMiddle = 2L,
nE... |
mcia <- function (df.list, cia.nf = 2, cia.scan = FALSE, nsc = T, svd=TRUE)
{
df.list <- lapply (df.list, function(x) {
if (inherits(x, "ExpressionSet")) {
r <- made4:::getdata(x)
} else {
r <- x
}
return(r)
})
for (i in names(df.list)) {
df <- df.list[[i]]
minn <- min(df)
... | /R/mcia.R | no_license | aedin/omicade4 | R | false | false | 4,234 | r | mcia <- function (df.list, cia.nf = 2, cia.scan = FALSE, nsc = T, svd=TRUE)
{
df.list <- lapply (df.list, function(x) {
if (inherits(x, "ExpressionSet")) {
r <- made4:::getdata(x)
} else {
r <- x
}
return(r)
})
for (i in names(df.list)) {
df <- df.list[[i]]
minn <- min(df)
... |
### Utah DWQ Lake Dashboard
### Jake Vander Laan, Utah DWQ, jvander@utah.gov
### Version 3.0 2022 including 2022 IR data
library(wqTools)
library(leaflet)
library(plotly)
#heatmap_param_choices=c("Dissolved oxygen (DO)","Temperature, water","pH","DO-temperature habitat profile width")
#names(heatmap_param_choices)=c... | /inst/lakeDashboard/app.r | permissive | utah-dwq/irTools | R | false | false | 24,481 | r | ### Utah DWQ Lake Dashboard
### Jake Vander Laan, Utah DWQ, jvander@utah.gov
### Version 3.0 2022 including 2022 IR data
library(wqTools)
library(leaflet)
library(plotly)
#heatmap_param_choices=c("Dissolved oxygen (DO)","Temperature, water","pH","DO-temperature habitat profile width")
#names(heatmap_param_choices)=c... |
# This function calculates the number of characters from the beginning before the first mismatch between two strings
#
#
.datatable.aware=TRUE #You have to declare this at https://github.com/tidyverse/dplyr/issues/548
firstmismatch <- function(a, b, verbose=T) {
dt <- data.table::data.table(a = a,
... | /R/first_match.r | no_license | jelenavicic/MeasuringLandscape | R | false | false | 2,303 | r | # This function calculates the number of characters from the beginning before the first mismatch between two strings
#
#
.datatable.aware=TRUE #You have to declare this at https://github.com/tidyverse/dplyr/issues/548
firstmismatch <- function(a, b, verbose=T) {
dt <- data.table::data.table(a = a,
... |
#'The function pareto() will take a vector of numbers (and also titles) and will
#'display a pareto chart of the data. This chart includes a barplot of individual
#'values represented in descending order, as well as the cumulative total
#'represented by the line. The data used to represent this function is from Assignm... | /PackageZuyus/R/pareto.R | no_license | marissazuyus/Stat_PackageZuyus | R | false | false | 1,203 | r | #'The function pareto() will take a vector of numbers (and also titles) and will
#'display a pareto chart of the data. This chart includes a barplot of individual
#'values represented in descending order, as well as the cumulative total
#'represented by the line. The data used to represent this function is from Assignm... |
/PCA_RF.R | no_license | jgshim/PONV | R | false | false | 4,498 | r | ||
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/helpers.r
\name{get_request_type}
\alias{get_request_type}
\alias{is_get}
\alias{is_post}
\title{Retrieve or test request type}
\usage{
get_request_type(har_resp_obj)
is_get(har_resp_obj)
is_post(har_resp_obj)
}
\arguments{
\item{har_resp_o... | /man/get_request_type.Rd | no_license | nikolayvoronchikhin/splashr | R | false | true | 628 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/helpers.r
\name{get_request_type}
\alias{get_request_type}
\alias{is_get}
\alias{is_post}
\title{Retrieve or test request type}
\usage{
get_request_type(har_resp_obj)
is_get(har_resp_obj)
is_post(har_resp_obj)
}
\arguments{
\item{har_resp_o... |
# D33 data
raw_data <- read.table("data/D33/processed/mas5-original.tsv",
sep = "\t", header = T, row.names = 1)
yeoh_data <- read.table("data/GSE67684/processed/mas5_ordered.tsv",
sep = "\t", header = T, row.names = 1)
select_logvec <- rownames(raw_data) %in% rownames(ye... | /preprocess/process_data-d33_normal.R | no_license | dblux/relapse_prediction | R | false | false | 923 | r | # D33 data
raw_data <- read.table("data/D33/processed/mas5-original.tsv",
sep = "\t", header = T, row.names = 1)
yeoh_data <- read.table("data/GSE67684/processed/mas5_ordered.tsv",
sep = "\t", header = T, row.names = 1)
select_logvec <- rownames(raw_data) %in% rownames(ye... |
glPcaFast <- function(x,
center=TRUE,
scale=FALSE,
nf=NULL,
loadings=TRUE,
alleleAsUnit=FALSE,
returnDotProd=FALSE){
if(!inherits(x, "genlight")) stop("x is not a genlight object")
# k... | /program_comparison_PCA/glPcaFast_script.R | no_license | mnr006/Ritter_Defense_2019 | R | false | false | 3,921 | r | glPcaFast <- function(x,
center=TRUE,
scale=FALSE,
nf=NULL,
loadings=TRUE,
alleleAsUnit=FALSE,
returnDotProd=FALSE){
if(!inherits(x, "genlight")) stop("x is not a genlight object")
# k... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/fence.lmer.R
\name{fence.lmer}
\alias{fence.lmer}
\title{Fence model selection (Linear Mixed Model)}
\usage{
fence.lmer(full, data, B = 100, grid = 101, fence = c("adaptive",
"nonadaptive"), cn = NA, REML = TRUE, bandwidth = NA,
c... | /man/fence.lmer.Rd | no_license | cran/fence | R | false | true | 3,413 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/fence.lmer.R
\name{fence.lmer}
\alias{fence.lmer}
\title{Fence model selection (Linear Mixed Model)}
\usage{
fence.lmer(full, data, B = 100, grid = 101, fence = c("adaptive",
"nonadaptive"), cn = NA, REML = TRUE, bandwidth = NA,
c... |
# Load activity labels from activity_labels.txt
activity_labels <- read.table("activity_labels.txt")
names(activity_labels) <- c("activity code", "activity")
# Load features from features.txt
features <- read.table("features.txt")[, 2]
# Load training data from files in train subdirectory
subject_train <- read.table(... | /run_analysis.R | no_license | mristic/getting_and_cleaning_data_project | R | false | false | 2,116 | r | # Load activity labels from activity_labels.txt
activity_labels <- read.table("activity_labels.txt")
names(activity_labels) <- c("activity code", "activity")
# Load features from features.txt
features <- read.table("features.txt")[, 2]
# Load training data from files in train subdirectory
subject_train <- read.table(... |
library(ggplot2)
qplot(factor(names(prob), levels = names(prob)), hebrew, geom = "histogram")
| /Programming Language Detection/Experiment-2/Dataset/Train/R/probabilistic-choice-2.r | no_license | dlaststark/machine-learning-projects | R | false | false | 94 | r | library(ggplot2)
qplot(factor(names(prob), levels = names(prob)), hebrew, geom = "histogram")
|
###
### Prune tree tips based on an imported .csv file
###
Prune.Tree <- function(SPECIES_TO_REMOVE,TREE,SAVE_FILE){
PRUNED_TREE<-drop.tip(TREE,TREE$tip.label[SPECIES_TO_REMOVE])
write.tree(PRUNED_TREE,file=SAVE_FILE)
return(PRUNED_TREE)
}
| /DNC_Toolbox/Prune_Tree.R | no_license | Gene-Weaver/Testing-Darwin-s-Naturalization-Conundrum | R | false | false | 253 | r | ###
### Prune tree tips based on an imported .csv file
###
Prune.Tree <- function(SPECIES_TO_REMOVE,TREE,SAVE_FILE){
PRUNED_TREE<-drop.tip(TREE,TREE$tip.label[SPECIES_TO_REMOVE])
write.tree(PRUNED_TREE,file=SAVE_FILE)
return(PRUNED_TREE)
}
|
library(tidyverse)
library(plotly)
library(htmlwidgets)
library(argparser)
library(methods)
# Purpose: This script takes the RAW output from sambamba and produces summary tables and plots highlighting the uniformity of coverage
# Usage: Rscript sambamba_exon_coverage.R --args "/path_to_folder/exon_coverage"
# Functi... | /sambamba_exon_coverage.R | no_license | moka-guys/Coverage_Uniformity_Report | R | false | false | 10,366 | r | library(tidyverse)
library(plotly)
library(htmlwidgets)
library(argparser)
library(methods)
# Purpose: This script takes the RAW output from sambamba and produces summary tables and plots highlighting the uniformity of coverage
# Usage: Rscript sambamba_exon_coverage.R --args "/path_to_folder/exon_coverage"
# Functi... |
## This should be in base R!
.FUNCall <- function(f) function(...) f(...)
| /R/utils.R | no_license | cran/registry | R | false | false | 74 | r | ## This should be in base R!
.FUNCall <- function(f) function(...) f(...)
|
c44de1132ed6a6af2aba60c67446132b aim-100-6_0-yes1-3-90.qdimacs 822 2432 | /code/dcnf-ankit-optimized/Results/QBFLIB-2018/E1+A1/Database/Letombe/Abduction/aim-100-6_0-yes1-3-90/aim-100-6_0-yes1-3-90.R | no_license | arey0pushpa/dcnf-autarky | R | false | false | 71 | r | c44de1132ed6a6af2aba60c67446132b aim-100-6_0-yes1-3-90.qdimacs 822 2432 |
## The first function makeCacheMatrix takes a matrix as and argument and returns
## a list of functions, get, set, getInv and setInv
## set caches the value of x and set the inverse to Null
## get retrives the x value
## setInv calculate the inverse of the matrix and cache it as I
## getInv retrive the value of I
m... | /cachematrix.R | no_license | mha595/ProgrammingAssignment2 | R | false | false | 1,203 | r | ## The first function makeCacheMatrix takes a matrix as and argument and returns
## a list of functions, get, set, getInv and setInv
## set caches the value of x and set the inverse to Null
## get retrives the x value
## setInv calculate the inverse of the matrix and cache it as I
## getInv retrive the value of I
m... |
#
# xts: eXtensible time-series
#
# Copyright (C) 2008 Jeffrey A. Ryan jeff.a.ryan @ gmail.com
#
# Contributions from Joshua M. Ulrich
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundat... | /R/coredata.xts.R | no_license | DavisVaughan/xts | R | false | false | 3,605 | r | #
# xts: eXtensible time-series
#
# Copyright (C) 2008 Jeffrey A. Ryan jeff.a.ryan @ gmail.com
#
# Contributions from Joshua M. Ulrich
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundat... |
############################
#fenetre 1kB
test = read.csv("tables_w1Kb/train/all_stats_propre.csv",header=F)
#fenetre 100kB avec id
test = read.csv("tables_w100Kb/avec_id/all_stats_propre.csv")
##fenetre 20kB avec id
test = read.csv("tables_w20Kb/avec_id/all_stats_propre.csv")
test = read.csv("tables_w20Kb/avec_id/all... | /analysis_tables.R | no_license | Grelot/aker--beetGenomeEnvironmentAssociation | R | false | false | 1,053 | r |
############################
#fenetre 1kB
test = read.csv("tables_w1Kb/train/all_stats_propre.csv",header=F)
#fenetre 100kB avec id
test = read.csv("tables_w100Kb/avec_id/all_stats_propre.csv")
##fenetre 20kB avec id
test = read.csv("tables_w20Kb/avec_id/all_stats_propre.csv")
test = read.csv("tables_w20Kb/avec_id/all... |
\name{GPW.logrank}
\alias{GPW.logrank}
\title{Generalized Piecewise Weighted Logrank Test}
\description{
Compute the p-value based on the
generalized piecewise weighted log-rank test when the treatment
time-lag effect is present and the lag duration
varies heterogeneously from individual to individual or from s... | /man/GPW.logrank.Rd | no_license | cran/DelayedEffect.Design | R | false | false | 1,817 | rd |
\name{GPW.logrank}
\alias{GPW.logrank}
\title{Generalized Piecewise Weighted Logrank Test}
\description{
Compute the p-value based on the
generalized piecewise weighted log-rank test when the treatment
time-lag effect is present and the lag duration
varies heterogeneously from individual to individual or from s... |
url <- "https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhousehold_power_consumption.zip"
download.file(url,"//Txdf2fpw01cbtp/txcbt-redirected/smb001/Downloads/data.zip")
unzip(zipfile="//Txdf2fpw01cbtp/txcbt-redirected/smb001/Downloads/data.zip", exdir = "//Txdf2fpw01cbtp/txcbt-redirected/smb001/Downloads")
data ... | /plot4.R | no_license | brodo80/Exploratory-Data-Analysis-Project-1 | R | false | false | 1,517 | r | url <- "https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhousehold_power_consumption.zip"
download.file(url,"//Txdf2fpw01cbtp/txcbt-redirected/smb001/Downloads/data.zip")
unzip(zipfile="//Txdf2fpw01cbtp/txcbt-redirected/smb001/Downloads/data.zip", exdir = "//Txdf2fpw01cbtp/txcbt-redirected/smb001/Downloads")
data ... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/all_classes.R
\name{enriched_result}
\alias{enriched_result}
\title{creates enriched result}
\usage{
enriched_result(features, universe, annotation, statistics)
}
\arguments{
\item{features}{the features that were differentially expressed (se... | /man/enriched_result_constructor.Rd | no_license | ehinderer/categoryCompare2 | R | false | true | 702 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/all_classes.R
\name{enriched_result}
\alias{enriched_result}
\title{creates enriched result}
\usage{
enriched_result(features, universe, annotation, statistics)
}
\arguments{
\item{features}{the features that were differentially expressed (se... |
################### uniform ##########################
### CLT uniform
## my Central Limit Function
## Notice that I have assigned default values which can be changed when the function is called
#' CLT Uniform
#'
#' @param n size of sample
#' @param iter number of iterations or spales taken
#' @param a lower limit of p... | /R/mycltu.R | no_license | lmtrevisi/MATH4753ouTrev0002 | R | false | false | 1,801 | r | ################### uniform ##########################
### CLT uniform
## my Central Limit Function
## Notice that I have assigned default values which can be changed when the function is called
#' CLT Uniform
#'
#' @param n size of sample
#' @param iter number of iterations or spales taken
#' @param a lower limit of p... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plots.R
\name{make_bar_plot}
\alias{make_bar_plot}
\title{Create a Barplot of Country Obesity Rankings}
\usage{
make_bar_plot(
.region = NULL,
.year = 2016,
.income = NULL,
.sex = NULL,
.ascending = TRUE,
.n = 10
)
}
\arguments{
\... | /man/make_bar_plot.Rd | permissive | UBC-MDS/obesity-explorer-R | R | false | true | 992 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plots.R
\name{make_bar_plot}
\alias{make_bar_plot}
\title{Create a Barplot of Country Obesity Rankings}
\usage{
make_bar_plot(
.region = NULL,
.year = 2016,
.income = NULL,
.sex = NULL,
.ascending = TRUE,
.n = 10
)
}
\arguments{
\... |
# ===== CHURN RATE MIXPANEL - COHORT ANALYSIS =====
# READ THE DATA
cw.churn = read.csv(file = 'D:/Audhi Aprilliant/IPB Works/Statistics Department/Data Science Practices/Projects/Cohort Analysis - Online Retail Data/Datasets/cohort2011 Wide Data.csv',
header = TRUE,
sep = ... | /R-Scripts/Total Customer/5 Churn Rate Mixpanel Customer - Cohort Analysis Online Retail Data.R | no_license | audhiaprilliant/Cohort-Analysis-Online-Retail-Data | R | false | false | 2,737 | r | # ===== CHURN RATE MIXPANEL - COHORT ANALYSIS =====
# READ THE DATA
cw.churn = read.csv(file = 'D:/Audhi Aprilliant/IPB Works/Statistics Department/Data Science Practices/Projects/Cohort Analysis - Online Retail Data/Datasets/cohort2011 Wide Data.csv',
header = TRUE,
sep = ... |
DEFF<-expand.grid(HH=1:100,Village=1:4)
DEFF$Gender<-sample(c("Male","Female"),size = 400,replace=TRUE)
DEFF$TimeToHospital<-abs(round(rnorm(mean=60*(DEFF$Village-1),sd=15,n=400)/10)*10)
DEFF$Income<-round(with(DEFF,ifelse(Village==1,rnorm(100,mean=5000,sd=1500),ifelse(Village==2,rnorm(100,mean=6500,sd=2000),
... | /DEFF/calculation.R | no_license | sdumble1/ShinyLibrary | R | false | false | 3,988 | r | DEFF<-expand.grid(HH=1:100,Village=1:4)
DEFF$Gender<-sample(c("Male","Female"),size = 400,replace=TRUE)
DEFF$TimeToHospital<-abs(round(rnorm(mean=60*(DEFF$Village-1),sd=15,n=400)/10)*10)
DEFF$Income<-round(with(DEFF,ifelse(Village==1,rnorm(100,mean=5000,sd=1500),ifelse(Village==2,rnorm(100,mean=6500,sd=2000),
... |
# script to format the extra metadata
rm(list = ls())
library(dplyr)
source('paths.r')
#load mapping file; this tells us which samples we want to look at
map <- readRDS(emp_map_clean.path)
#load the metadata files we need
study_632 <- read.csv(emp_study632_metadata.path)
study_722 <- read.csv(emp_study722_metadata... | /data_construction/EMP_data_construction/format_metadata.R | no_license | microbesatBU/NEFI_16S | R | false | false | 4,657 | r | # script to format the extra metadata
rm(list = ls())
library(dplyr)
source('paths.r')
#load mapping file; this tells us which samples we want to look at
map <- readRDS(emp_map_clean.path)
#load the metadata files we need
study_632 <- read.csv(emp_study632_metadata.path)
study_722 <- read.csv(emp_study722_metadata... |
## File Name: tam_calc_prob_helper_subtract_max.R
## File Version: 0.12
tam_calc_prob_helper_subtract_max <- function( rr0 )
{
RR0 <- dim(rr0)
rr0M <- matrix( rr0, nrow=RR0[1]*RR0[2], ncol=RR0[3] )
NI <- RR0[1]
NK <- RR0[2]
TP <- RR0[3]
rr1M <- tam_rcpp_calc_prob_subtract_max( rr0M=rr... | /R/tam_calc_prob_helper_subtract_max.R | no_license | cran/TAM | R | false | false | 402 | r | ## File Name: tam_calc_prob_helper_subtract_max.R
## File Version: 0.12
tam_calc_prob_helper_subtract_max <- function( rr0 )
{
RR0 <- dim(rr0)
rr0M <- matrix( rr0, nrow=RR0[1]*RR0[2], ncol=RR0[3] )
NI <- RR0[1]
NK <- RR0[2]
TP <- RR0[3]
rr1M <- tam_rcpp_calc_prob_subtract_max( rr0M=rr... |
\docType{methods}
\name{split}
\alias{split}
\alias{split,ANY-method}
\alias{split,hyperSpec-method}
\alias{split-methods}
\title{Split a hyperSpec object according to groups
\code{split} divides the \code{hyperSpec} object into a list of
\code{hyperSpec} objects according to the groups given by \code{f}.}
\usage{
\S... | /man/split.Rd | no_license | fornasaros/hyperSpec | R | false | false | 1,278 | rd | \docType{methods}
\name{split}
\alias{split}
\alias{split,ANY-method}
\alias{split,hyperSpec-method}
\alias{split-methods}
\title{Split a hyperSpec object according to groups
\code{split} divides the \code{hyperSpec} object into a list of
\code{hyperSpec} objects according to the groups given by \code{f}.}
\usage{
\S... |
#======================================================================
# This script plots cumulative metrics, relative to the branch-based
# algorithm, versus iterations for all input graphs given a single
# algorithm and architecture.
# ======================================================================
source (... | /rvplot/deprecated/plot-summary.R | no_license | ogreen/BranchlessGraphs | R | false | false | 1,567 | r | #======================================================================
# This script plots cumulative metrics, relative to the branch-based
# algorithm, versus iterations for all input graphs given a single
# algorithm and architecture.
# ======================================================================
source (... |
### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###
### ===== Hierarchical Multinomial Logit Model in STAN =====
### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###
setwd("~/tennis_analytics/projects/roland_garros_tracking_data/stan_code/prototypes/")
source('../src/he... | /projects/roland_garros_project/modelling/prototypes/stan_code/prototypes/OLD_test_hier_mnl_stan.R | no_license | petertea96/tennis_analytics | R | false | false | 7,720 | r | ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###
### ===== Hierarchical Multinomial Logit Model in STAN =====
### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###
setwd("~/tennis_analytics/projects/roland_garros_tracking_data/stan_code/prototypes/")
source('../src/he... |
library(s2dverification)
### Name: CDORemap
### Title: Interpolates arrays with longitude and latitude dimensions using
### CDO
### Aliases: CDORemap
### Keywords: datagen
### ** Examples
## Not run:
##D # Interpolating only vectors of longitudes and latitudes
##D lon <- seq(0, 360 - 360/50, length.out = 50)
#... | /data/genthat_extracted_code/s2dverification/examples/CDORemap.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 6,547 | r | library(s2dverification)
### Name: CDORemap
### Title: Interpolates arrays with longitude and latitude dimensions using
### CDO
### Aliases: CDORemap
### Keywords: datagen
### ** Examples
## Not run:
##D # Interpolating only vectors of longitudes and latitudes
##D lon <- seq(0, 360 - 360/50, length.out = 50)
#... |
testlist <- list(m = NULL, repetitions = -304992360L, in_m = structure(c(2.31584307392677e+77, 9.53819811420581e+295, 1.22810536108214e+146), .Dim = c(3L, 1L )))
result <- do.call(CNull:::communities_individual_based_sampling_alpha,testlist)
str(result) | /CNull/inst/testfiles/communities_individual_based_sampling_alpha/AFL_communities_individual_based_sampling_alpha/communities_individual_based_sampling_alpha_valgrind_files/1615786407-test.R | no_license | akhikolla/updatedatatype-list2 | R | false | false | 254 | r | testlist <- list(m = NULL, repetitions = -304992360L, in_m = structure(c(2.31584307392677e+77, 9.53819811420581e+295, 1.22810536108214e+146), .Dim = c(3L, 1L )))
result <- do.call(CNull:::communities_individual_based_sampling_alpha,testlist)
str(result) |
%% File Name: data.raw1.Rd
%% File Version: 0.05
%% File Last Change: 2017-01-18 18:08:37
\name{data.raw1}
\alias{data.raw1}
\docType{data}
\title{
Dataset with Raw Item Responses
}
\description{
Dataset with raw item responses
}
\usage{data(data.raw1)}
\format{
A data frame with raw item responses of 1200 persons on ... | /man/data.raw1.Rd | no_license | SanVerhavert/sirt | R | false | false | 961 | rd | %% File Name: data.raw1.Rd
%% File Version: 0.05
%% File Last Change: 2017-01-18 18:08:37
\name{data.raw1}
\alias{data.raw1}
\docType{data}
\title{
Dataset with Raw Item Responses
}
\description{
Dataset with raw item responses
}
\usage{data(data.raw1)}
\format{
A data frame with raw item responses of 1200 persons on ... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/summary.BchronDensityRun.R
\name{summary.BchronDensityRun}
\alias{summary.BchronDensityRun}
\title{Summarise a Bchron density object}
\usage{
\method{summary}{BchronDensityRun}(object, prob = 0.95, ..., digits = max(3,
getOption("digits") -... | /man/summary.BchronDensityRun.Rd | no_license | ercrema/Bchron | R | false | true | 663 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/summary.BchronDensityRun.R
\name{summary.BchronDensityRun}
\alias{summary.BchronDensityRun}
\title{Summarise a Bchron density object}
\usage{
\method{summary}{BchronDensityRun}(object, prob = 0.95, ..., digits = max(3,
getOption("digits") -... |
## makeCacheMatrix creates the matrix object that can cache its inverse.
makeCacheMatrix <- function(x = matrix()) {
i <- NULL
set <- function(y) {
x <<- y
i <<- NULL
}
get <- function() x
setinverse <- function(inverse) i <<- inverse
getinverse <- function() i
... | /cachematrix.R | no_license | Silva-M/ProgrammingAssignment2 | R | false | false | 841 | r | ## makeCacheMatrix creates the matrix object that can cache its inverse.
makeCacheMatrix <- function(x = matrix()) {
i <- NULL
set <- function(y) {
x <<- y
i <<- NULL
}
get <- function() x
setinverse <- function(inverse) i <<- inverse
getinverse <- function() i
... |
#' Create an R Markdown Word Document Topic Guide
#'
#' This is a function called in the output of the yaml of the Rmd file to
#' specify using the standard DLM topic guide word document formatting.
#'
#' @param ... Arguments to be passed to `[bookdown::word_document2]`
#'
#' @return A modified `word_document2` with th... | /R/render.R | no_license | esegui/ratlas | R | false | false | 5,943 | r | #' Create an R Markdown Word Document Topic Guide
#'
#' This is a function called in the output of the yaml of the Rmd file to
#' specify using the standard DLM topic guide word document formatting.
#'
#' @param ... Arguments to be passed to `[bookdown::word_document2]`
#'
#' @return A modified `word_document2` with th... |
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