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 |
|---|---|---|---|---|---|---|---|---|---|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/route53recoveryreadiness_operations.R
\name{route53recoveryreadiness_delete_recovery_group}
\alias{route53recoveryreadiness_delete_recovery_group}
\title{Deletes a recovery group}
\usage{
route53recoveryreadiness_delete_recovery_group(Recover... | /cran/paws.networking/man/route53recoveryreadiness_delete_recovery_group.Rd | permissive | paws-r/paws | R | false | true | 591 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/route53recoveryreadiness_operations.R
\name{route53recoveryreadiness_delete_recovery_group}
\alias{route53recoveryreadiness_delete_recovery_group}
\title{Deletes a recovery group}
\usage{
route53recoveryreadiness_delete_recovery_group(Recover... |
first_vec <- c(1, 5, 4, 2, 3, 7, 6)
second_vec <- c(9, 2, 1, 8, 3, 4, 5, 6, 10, 7, 12, 11)
third_vec <- c(8, 3, 5, 1, 7, 1, 10)
find_longer_vector <- function(vec_one, vec_two) {
if (length(vec_one) > length(vec_two)) {
return("First")
} else if (length(vec_one) < length(vec_two)) {
return("Second")
... | /functions_in_R.r | no_license | SubbuDS/Data_Science-and-Big-Data | R | false | false | 1,089 | r | first_vec <- c(1, 5, 4, 2, 3, 7, 6)
second_vec <- c(9, 2, 1, 8, 3, 4, 5, 6, 10, 7, 12, 11)
third_vec <- c(8, 3, 5, 1, 7, 1, 10)
find_longer_vector <- function(vec_one, vec_two) {
if (length(vec_one) > length(vec_two)) {
return("First")
} else if (length(vec_one) < length(vec_two)) {
return("Second")
... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/randomForest.R
\name{build_model.randomForest}
\alias{build_model.randomForest}
\title{build_model.randomForest}
\usage{
\method{build_model}{randomForest}(object, which_tree = 1, ...)
}
\arguments{
\item{object}{a object of class randomFores... | /aurelius/man/build_model.randomForest.Rd | permissive | mafpimentel/hadrian | R | false | true | 900 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/randomForest.R
\name{build_model.randomForest}
\alias{build_model.randomForest}
\title{build_model.randomForest}
\usage{
\method{build_model}{randomForest}(object, which_tree = 1, ...)
}
\arguments{
\item{object}{a object of class randomFores... |
## Put comments here that give an overall description of what your
## functions do
## Write a short comment describing this function
makeCacheMatrix <- function(x = matrix()) {
+ inv <- NULL
+ set <- function(y) {
+ x <<- y
+ inv <<- NULL ... | /cachematrix.R | no_license | Makako78/ProgrammingAssignment2 | R | false | false | 874 | r | ## Put comments here that give an overall description of what your
## functions do
## Write a short comment describing this function
makeCacheMatrix <- function(x = matrix()) {
+ inv <- NULL
+ set <- function(y) {
+ x <<- y
+ inv <<- NULL ... |
library(testthat)
library(data.table)
test_package("data.table")
| /tests/test-all.R | no_license | dselivanov/data.table | R | false | false | 66 | r | library(testthat)
library(data.table)
test_package("data.table")
|
library(Seurat)
### Name: AddSamples
### Title: Add samples into existing Seurat object.
### Aliases: AddSamples
### ** Examples
pbmc1 <- SubsetData(object = pbmc_small, cells.use = pbmc_small@cell.names[1:40])
pbmc1
pbmc2 <- SubsetData(object = pbmc_small, cells.use = pbmc_small@cell.names[41:80])
pbmc2_data <- pb... | /data/genthat_extracted_code/Seurat/examples/AddSamples.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 424 | r | library(Seurat)
### Name: AddSamples
### Title: Add samples into existing Seurat object.
### Aliases: AddSamples
### ** Examples
pbmc1 <- SubsetData(object = pbmc_small, cells.use = pbmc_small@cell.names[1:40])
pbmc1
pbmc2 <- SubsetData(object = pbmc_small, cells.use = pbmc_small@cell.names[41:80])
pbmc2_data <- pb... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/fslsmooth.help.R
\name{fslsmooth.help}
\alias{fslsmooth.help}
\title{fslsmooth Help}
\usage{
fslsmooth.help(...)
}
\arguments{
\item{...}{passed to \code{\link{fslmaths.help}}}
}
\value{
Prints help output and returns output as character vect... | /man/fslsmooth.help.Rd | no_license | kuonanhong/fslr | R | false | true | 491 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/fslsmooth.help.R
\name{fslsmooth.help}
\alias{fslsmooth.help}
\title{fslsmooth Help}
\usage{
fslsmooth.help(...)
}
\arguments{
\item{...}{passed to \code{\link{fslmaths.help}}}
}
\value{
Prints help output and returns output as character vect... |
library(CryptRndTest)
### Name: random.walk.tests
### Title: Random Walk Tests
### Aliases: random.walk.tests
### Keywords: Anderson-Darling Kolmogorov-Smirnov Chi-Square nonparametric
### goodness-of-fit test randomness test
### ** Examples
RNGkind(kind = "Super-Duper")
B=64 # Bit length ... | /data/genthat_extracted_code/CryptRndTest/examples/random.walk.tests.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 584 | r | library(CryptRndTest)
### Name: random.walk.tests
### Title: Random Walk Tests
### Aliases: random.walk.tests
### Keywords: Anderson-Darling Kolmogorov-Smirnov Chi-Square nonparametric
### goodness-of-fit test randomness test
### ** Examples
RNGkind(kind = "Super-Duper")
B=64 # Bit length ... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/getNodeCDF.R
\name{getNodeCDF}
\alias{getNodeCDF}
\title{Get CDf for Node}
\usage{
getNodeCDF(varName, datasources)
}
\arguments{
\item{varName}{a character, the name of study variable.}
\item{datasources}{a list of parameters to access file... | /man/getNodeCDF.Rd | no_license | paularaissa/distStatsServer | R | false | true | 536 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/getNodeCDF.R
\name{getNodeCDF}
\alias{getNodeCDF}
\title{Get CDf for Node}
\usage{
getNodeCDF(varName, datasources)
}
\arguments{
\item{varName}{a character, the name of study variable.}
\item{datasources}{a list of parameters to access file... |
require(vioplot)
dev.new(width=850, height=650)
t1 <- scan("~/SDN/renaissance/Evaluation/ivanandantonPlots/stabTimeMultiC/t1.txt")
t2 <- scan("~/SDN/renaissance/Evaluation/ivanandantonPlots/stabTimeMultiC/t2.txt")
t3 <- scan("~/SDN/renaissance/Evaluation/ivanandantonPlots/stabTimeMultiC/t3.txt")
t4 <- scan("~/SDN/renai... | /Evaluation/rPlots/stabTimeMultiC/stab_time_multiple_controllers.R | no_license | rubiruchi/Renaissance-SDN | R | false | false | 2,577 | r | require(vioplot)
dev.new(width=850, height=650)
t1 <- scan("~/SDN/renaissance/Evaluation/ivanandantonPlots/stabTimeMultiC/t1.txt")
t2 <- scan("~/SDN/renaissance/Evaluation/ivanandantonPlots/stabTimeMultiC/t2.txt")
t3 <- scan("~/SDN/renaissance/Evaluation/ivanandantonPlots/stabTimeMultiC/t3.txt")
t4 <- scan("~/SDN/renai... |
### Copyright (c) 2011, Yahoo! Inc. All rights reserved.
### Copyrights licensed under the New BSD License. See the accompanying LICENSE file for terms.
###
### Author: Liang Zhang
# compute probability given eta and alpha. eta here could be a vector of values
get.splinep <- function(knotval,eta){
neg <- eta < 0
... | /src/RLFM-ars-logistic/R/util.R | permissive | clumbus963/Latent-Factor-Models | R | false | false | 8,766 | r | ### Copyright (c) 2011, Yahoo! Inc. All rights reserved.
### Copyrights licensed under the New BSD License. See the accompanying LICENSE file for terms.
###
### Author: Liang Zhang
# compute probability given eta and alpha. eta here could be a vector of values
get.splinep <- function(knotval,eta){
neg <- eta < 0
... |
# Binding libraries
require("shiny")
require("RPostgreSQL")
require("sqldf")
require("shinyjs")
require("DT")
# Initializing PostgreSQL database
initializeDatabase <- function() {
sqldf(paste(
readLines("./sql_scripts/initialize_create_tables.sql"),
collapse = "\n"
))
sqldf(paste(
readL... | /rshiny_app/server.R | no_license | CFraller/mt_prototypical_impl | R | false | false | 27,263 | r | # Binding libraries
require("shiny")
require("RPostgreSQL")
require("sqldf")
require("shinyjs")
require("DT")
# Initializing PostgreSQL database
initializeDatabase <- function() {
sqldf(paste(
readLines("./sql_scripts/initialize_create_tables.sql"),
collapse = "\n"
))
sqldf(paste(
readL... |
#' @name loadWorkbook
#' @title Load an exisiting .xlsx file
#' @author Alexander Walker
#' @param file A path to an existing .xlsx or .xlsm file
#' @param xlsxFile alias for file
#' @description loadWorkbook returns a workbook object conserving styles and
#' formatting of the original .xlsx file.
#' @return Wor... | /R/loadWorkbook.R | no_license | tgwhite/openxlsx | R | false | false | 30,358 | r |
#' @name loadWorkbook
#' @title Load an exisiting .xlsx file
#' @author Alexander Walker
#' @param file A path to an existing .xlsx or .xlsm file
#' @param xlsxFile alias for file
#' @description loadWorkbook returns a workbook object conserving styles and
#' formatting of the original .xlsx file.
#' @return Wor... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/PoloniexPublic.R
\name{ReturnOrderBook}
\alias{ReturnOrderBook}
\title{Returns the order book for a given market,
as well as a sequence number for use with the Push API
and an indicator specifying whether the market is frozen.}
\usage{... | /man/ReturnOrderBook.Rd | permissive | cran/PoloniexR | R | false | true | 2,071 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/PoloniexPublic.R
\name{ReturnOrderBook}
\alias{ReturnOrderBook}
\title{Returns the order book for a given market,
as well as a sequence number for use with the Push API
and an indicator specifying whether the market is frozen.}
\usage{... |
data <- read.table("household_power_consumption.txt", na.strings="?",
header=TRUE, sep=";", stringsAsFactors=FALSE)
data[, 1] <- as.Date(data[, 1], "%d/%m/%Y")
# Subset data
data <- subset(data, data$Date=="2007-02-01" | data$Date=="2007-02-02")
data$Time <- paste(data$Date, data$Time)
data$Time <... | /plot4.R | no_license | dyaz93/ExData_Plotting1 | R | false | false | 1,174 | r | data <- read.table("household_power_consumption.txt", na.strings="?",
header=TRUE, sep=";", stringsAsFactors=FALSE)
data[, 1] <- as.Date(data[, 1], "%d/%m/%Y")
# Subset data
data <- subset(data, data$Date=="2007-02-01" | data$Date=="2007-02-02")
data$Time <- paste(data$Date, data$Time)
data$Time <... |
## power for univariate and bivariate latent change score model
## Johnny Zhang
## Created on Sep 26, 2016
powerLCS<-function(N=100, T=5, R=1000,
betay=0, my0=0, mys=0, varey=1, vary0=1, varys=1, vary0ys=0, alpha=0.05, ...){
#if (sum(N < 2*T)>0) stop("The sample size has to be at least 2 times of the number o... | /R/power.R | no_license | cran/RAMpath | R | false | false | 18,107 | r | ## power for univariate and bivariate latent change score model
## Johnny Zhang
## Created on Sep 26, 2016
powerLCS<-function(N=100, T=5, R=1000,
betay=0, my0=0, mys=0, varey=1, vary0=1, varys=1, vary0ys=0, alpha=0.05, ...){
#if (sum(N < 2*T)>0) stop("The sample size has to be at least 2 times of the number o... |
#' robis: R client for the OBIS API
#'
#' Work in progress
#'
#' @docType package
#' @name robis
#' @import dplyr jsonlite leaflet ggplot2 tidyr tibble httr mapedit sf
#' @importFrom rlang .data
NULL
| /R/robis.R | permissive | howlerMoonkey/robis | R | false | false | 200 | r | #' robis: R client for the OBIS API
#'
#' Work in progress
#'
#' @docType package
#' @name robis
#' @import dplyr jsonlite leaflet ggplot2 tidyr tibble httr mapedit sf
#' @importFrom rlang .data
NULL
|
#Getting and Cleaning Data Course Project
#Script for
# 0 - Download and create the working directory.
# 1 - Merges the training and the test sets to create one data set.
# 2 - Extracts only the measurements on the mean and standard deviation for each measurement.
# 3 - Uses descriptive activity names to name th... | /run_analysis.R | no_license | t2019br/CleaningDataCourseProject | R | false | false | 7,050 | r | #Getting and Cleaning Data Course Project
#Script for
# 0 - Download and create the working directory.
# 1 - Merges the training and the test sets to create one data set.
# 2 - Extracts only the measurements on the mean and standard deviation for each measurement.
# 3 - Uses descriptive activity names to name th... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/helpers.r
\name{get_interactions}
\alias{get_interactions}
\title{Get interactions}
\usage{
get_interactions(net1, net2)
}
\arguments{
\item{net1, net2}{Two data frames of interactions, for example constructed
with \code{\link[bootdissim]{res... | /man/get_interactions.Rd | permissive | valentinitnelav/bootdissim | R | false | true | 841 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/helpers.r
\name{get_interactions}
\alias{get_interactions}
\title{Get interactions}
\usage{
get_interactions(net1, net2)
}
\arguments{
\item{net1, net2}{Two data frames of interactions, for example constructed
with \code{\link[bootdissim]{res... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Utils_adduct_rules.R
\name{adduct_rules_neg}
\alias{adduct_rules_neg}
\title{Create list with all adduct calculation rules (negative ion model)
This function returns a list with rules for the calculation of adducts. It is required for the ca... | /man/adduct_rules_neg.Rd | no_license | michaelwitting/lipidomicsUtils | R | false | true | 982 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Utils_adduct_rules.R
\name{adduct_rules_neg}
\alias{adduct_rules_neg}
\title{Create list with all adduct calculation rules (negative ion model)
This function returns a list with rules for the calculation of adducts. It is required for the ca... |
% Generated by roxygen2 (4.0.1): do not edit by hand
\name{S3_get_acl}
\alias{S3_get_acl}
\title{Get ACL of bucket location}
\usage{
S3_get_acl(bucketName, key, filename = 0L)
}
\arguments{
\item{bucketName}{The name of the bucket}
\item{key}{The location of the folder/file.}
\item{filename}{The location you want to ... | /man/S3_get_acl.Rd | no_license | leohklee/RS3 | R | false | false | 668 | rd | % Generated by roxygen2 (4.0.1): do not edit by hand
\name{S3_get_acl}
\alias{S3_get_acl}
\title{Get ACL of bucket location}
\usage{
S3_get_acl(bucketName, key, filename = 0L)
}
\arguments{
\item{bucketName}{The name of the bucket}
\item{key}{The location of the folder/file.}
\item{filename}{The location you want to ... |
/Covid19/World_covid/World_covid.R | no_license | orlindowagner/R-Studies | R | false | false | 3,269 | r | ||
"rimtrf" <-
function(x,n=nrow(x),intch=.dFvGet()$ith,tau=.dFvGet()$tua) {
np <- ncol(x)
mdx <- nrow(x)
if (missing(x)) x <- matrix(single(1),mdx,np)
k <- integer(1)
sf <- single(np)
sg <- single(np)
sh <- single(np)
ip <- integer(np)
f.res <- .Fortran("rimtrf",
x=to.single(x),
n=to.integer(n),
np=to.intege... | /robeth/R/rimtrf.R | no_license | ingted/R-Examples | R | false | false | 570 | r | "rimtrf" <-
function(x,n=nrow(x),intch=.dFvGet()$ith,tau=.dFvGet()$tua) {
np <- ncol(x)
mdx <- nrow(x)
if (missing(x)) x <- matrix(single(1),mdx,np)
k <- integer(1)
sf <- single(np)
sg <- single(np)
sh <- single(np)
ip <- integer(np)
f.res <- .Fortran("rimtrf",
x=to.single(x),
n=to.integer(n),
np=to.intege... |
\name{poison.text}
\alias{poison.text}
\docType{data}
\title{Poison}
\description{
The data used here refer to a survey carried out on a sample of children of primary school
who suffered from food poisoning. They were asked about their symptoms and about what they ate.
}
\usage{data(poison)}
\format{
A data frame... | /man/poison.text.Rd | no_license | husson/FactoMineR | R | false | false | 754 | rd | \name{poison.text}
\alias{poison.text}
\docType{data}
\title{Poison}
\description{
The data used here refer to a survey carried out on a sample of children of primary school
who suffered from food poisoning. They were asked about their symptoms and about what they ate.
}
\usage{data(poison)}
\format{
A data frame... |
.bme_env = new.env(parent=emptyenv())
.bme_env$results = NULL | /R/zzz.R | no_license | Bhanditz/benchmarkmeData | R | false | false | 62 | r | .bme_env = new.env(parent=emptyenv())
.bme_env$results = NULL |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/reagent_barplot.r
\name{reagent_barplot}
\alias{reagent_barplot}
\title{Plot the reagent means as a barplot}
\usage{
reagent_barplot(result, includeIntervals = F)
}
\arguments{
\item{result}{The BAMBAResult object.}
\item{includeIntervals}{A... | /man/reagent_barplot.Rd | no_license | RGLab/BAMBA | R | false | true | 552 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/reagent_barplot.r
\name{reagent_barplot}
\alias{reagent_barplot}
\title{Plot the reagent means as a barplot}
\usage{
reagent_barplot(result, includeIntervals = F)
}
\arguments{
\item{result}{The BAMBAResult object.}
\item{includeIntervals}{A... |
rmCheckedTF <-
function(prefix = "rcbValue", envir = KTSEnv) {
rsel <- rep(FALSE, KTSEnv$dSList$nRM)
for (ind in 1:KTSEnv$dSList$nRM) {
rcbValueind <- paste0(prefix, ind)
if (tcltk::tclvalue(get(rcbValueind, envir = envir)) == "1") {
rsel[ind] = TRUE
}
rm(rcbV... | /R/rmCheckedTF.R | no_license | cran/KarsTS | R | false | false | 350 | r | rmCheckedTF <-
function(prefix = "rcbValue", envir = KTSEnv) {
rsel <- rep(FALSE, KTSEnv$dSList$nRM)
for (ind in 1:KTSEnv$dSList$nRM) {
rcbValueind <- paste0(prefix, ind)
if (tcltk::tclvalue(get(rcbValueind, envir = envir)) == "1") {
rsel[ind] = TRUE
}
rm(rcbV... |
attach(ToyotaCorolla)
ToyotaCorolla <- read.csv("E:/Datasets/Multi linear Regression/ToyotaCorolla.csv")
View(ToyotaCorolla)
install.packages("e1071")
library(e1071)
install.packages("ggstatplot")
library(ggstatplot)
library(psych)
ToyotaCorolla<-ToyotaCorolla[,-c(1:2)]
View(ToyotaCorolla)
str(ToyotaCorolla)... | /ToyottaMLR.R | no_license | Ashmita20/Data-Science-R-files | R | false | false | 2,580 | r | attach(ToyotaCorolla)
ToyotaCorolla <- read.csv("E:/Datasets/Multi linear Regression/ToyotaCorolla.csv")
View(ToyotaCorolla)
install.packages("e1071")
library(e1071)
install.packages("ggstatplot")
library(ggstatplot)
library(psych)
ToyotaCorolla<-ToyotaCorolla[,-c(1:2)]
View(ToyotaCorolla)
str(ToyotaCorolla)... |
### ========================================================
### Práctica con el debuging de funciones (31-10-2017)
### ========================================================
ejemplo1 <- function(x)
{
print("hola")
}
debug(ejemplo1) # iniciamos el proceso de debuging
ejemplo1() # la ejecutamos
# Q para salir del... | /Computación en Estadística y Optimización/Clase 11/Debug.R | no_license | MGijon/Learning-R | R | false | false | 478 | r | ### ========================================================
### Práctica con el debuging de funciones (31-10-2017)
### ========================================================
ejemplo1 <- function(x)
{
print("hola")
}
debug(ejemplo1) # iniciamos el proceso de debuging
ejemplo1() # la ejecutamos
# Q para salir del... |
# ###################
# SpringRK4.R
#
library(rODE)
setClass("SpringRK4", slots = c(
# we should improve this by letting the user entered these values
K = "numeric",
mu = "numeric",
mass = "numeric",
state = "numeric",
odeSolver = "RK4"
),
prototype = prototype(
K ... | /SpringRK4.R | no_license | AlfonsoRReyes/rODEExamples | R | false | false | 3,445 | r | # ###################
# SpringRK4.R
#
library(rODE)
setClass("SpringRK4", slots = c(
# we should improve this by letting the user entered these values
K = "numeric",
mu = "numeric",
mass = "numeric",
state = "numeric",
odeSolver = "RK4"
),
prototype = prototype(
K ... |
##################################
## Single Line Geocode Function ##
##################################
# The function takes:
# - one address at a time as one string (SingleLine)
# - token
# - allow to return Postal codes if a full street address match cannot be found (default is TRUE)
#
# The function returns:
# lon,... | /SUL_gcFunctions.R | no_license | RoyalTS/ArcGIS_geocoding | R | false | false | 5,983 | r | ##################################
## Single Line Geocode Function ##
##################################
# The function takes:
# - one address at a time as one string (SingleLine)
# - token
# - allow to return Postal codes if a full street address match cannot be found (default is TRUE)
#
# The function returns:
# lon,... |
#-----------------------------------------------------------------------------
# S1 Tab
tabItem(tabName = "s1_dow",
fluidRow(
# Include the line below in ui.R so you can send messages
tags$head(tags$script(HTML('Shiny.addCustomMessageHandler("jsCode",function(message) {eval(message.value);})... | /shiny/ui/S1_dow_tab_ui.R | permissive | imagingearth/opensarkit | R | false | false | 3,210 | r | #-----------------------------------------------------------------------------
# S1 Tab
tabItem(tabName = "s1_dow",
fluidRow(
# Include the line below in ui.R so you can send messages
tags$head(tags$script(HTML('Shiny.addCustomMessageHandler("jsCode",function(message) {eval(message.value);})... |
if(!require("R.matlab")){
install.packages("R.matlab")
stopifnot(require("R.matlab"))
}
extract_basis <- function(Es, k){
Matlab$startServer(port = 9999)
matlab <- Matlab(port = 9999)
open(matlab)
setVariable(matlab, Es = Es)
evaluate(matlab, "[Q,~] = qr(Es);")
matlab_result <- getVariable(matlab, "Q")... | /sdp/extract_basis.R | no_license | HaroldSu/Overcomplete-ICA | R | false | false | 554 | r | if(!require("R.matlab")){
install.packages("R.matlab")
stopifnot(require("R.matlab"))
}
extract_basis <- function(Es, k){
Matlab$startServer(port = 9999)
matlab <- Matlab(port = 9999)
open(matlab)
setVariable(matlab, Es = Es)
evaluate(matlab, "[Q,~] = qr(Es);")
matlab_result <- getVariable(matlab, "Q")... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plot.R
\name{plot}
\alias{plot}
\alias{plot.seq_marg_monitor}
\alias{plot.CD}
\alias{plot.seq_cond_monitor}
\alias{plot.node_monitor}
\alias{plot.influential_obs}
\alias{plot.jeffreys}
\alias{plot.kl}
\alias{plot.final_node_monitor}
\alias{pl... | /man/plot.Rd | no_license | manueleleonelli/bnmonitor | R | false | true | 1,156 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plot.R
\name{plot}
\alias{plot}
\alias{plot.seq_marg_monitor}
\alias{plot.CD}
\alias{plot.seq_cond_monitor}
\alias{plot.node_monitor}
\alias{plot.influential_obs}
\alias{plot.jeffreys}
\alias{plot.kl}
\alias{plot.final_node_monitor}
\alias{pl... |
library(pAnalysis)
### Name: cap1
### Title: cap1
### Aliases: cap1
### ** Examples
uncappedtitle <- "this title"
cappedtitle <- cap1(uncappedtitle)
| /data/genthat_extracted_code/pAnalysis/examples/cap1.Rd.R | no_license | surayaaramli/typeRrh | R | false | false | 159 | r | library(pAnalysis)
### Name: cap1
### Title: cap1
### Aliases: cap1
### ** Examples
uncappedtitle <- "this title"
cappedtitle <- cap1(uncappedtitle)
|
\name{smooth.construct.mdcx.smooth.spec}
%\Rdversion{1.0}
\alias{smooth.construct.mdcx.smooth.spec}
\alias{smooth.construct.mdcxBy.smooth.spec}
%- Also NEED an '\alias' for EACH other topic documented here.
\title{Constructor for monotone decreasing and convex P-splines in SCAMs
}
\description{This is a special ... | /man/smooth.construct.mdcx.smooth.spec.Rd | no_license | cran/scam | R | false | false | 4,198 | rd | \name{smooth.construct.mdcx.smooth.spec}
%\Rdversion{1.0}
\alias{smooth.construct.mdcx.smooth.spec}
\alias{smooth.construct.mdcxBy.smooth.spec}
%- Also NEED an '\alias' for EACH other topic documented here.
\title{Constructor for monotone decreasing and convex P-splines in SCAMs
}
\description{This is a special ... |
## "INFOF422 Statistical foundations of machine learning" course
## R package gbcode
## Author: G. Bontempi
rm(list=ls())
library("quadprog")
library("MASS")
set.seed(0)
normv<-function(x,p=2){
sum(x^p)^(1/p)
}
separable<-TRUE
if (!separable){
gam<-0.05
} else {
gam<-Inf
}
eps<-0.001
for ( rep in 1:1){
... | /inst/scripts/Linear/svm.R | no_license | gbonte/gbcode | R | false | false | 3,393 | r | ## "INFOF422 Statistical foundations of machine learning" course
## R package gbcode
## Author: G. Bontempi
rm(list=ls())
library("quadprog")
library("MASS")
set.seed(0)
normv<-function(x,p=2){
sum(x^p)^(1/p)
}
separable<-TRUE
if (!separable){
gam<-0.05
} else {
gam<-Inf
}
eps<-0.001
for ( rep in 1:1){
... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/get_inpe_data.R
\name{inpe_station_data}
\alias{inpe_station_data}
\title{Get climate data from stations INPE}
\usage{
inpe_station_data(station_id = 31973, start_date = "2005/01/01",
end_date = "2005/02/02")
}
\arguments{
\item{station_id}... | /man/inpe_station_data.Rd | no_license | gustavobio/brclimate | R | false | true | 592 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/get_inpe_data.R
\name{inpe_station_data}
\alias{inpe_station_data}
\title{Get climate data from stations INPE}
\usage{
inpe_station_data(station_id = 31973, start_date = "2005/01/01",
end_date = "2005/02/02")
}
\arguments{
\item{station_id}... |
#' @title Rounding of Null Imaginary Part of a Complex Number
#' @description imaginary parts with values very close to 0 are 'zapped', i.e. treated as 0.
#' Therefore, the number becomes real and changes its class from complex to numeric.
#' @param x a scalar or vector, real or complex.
#' @param tol a tolerance, ... | /R/Imzap.R | no_license | cran/complexplus | R | false | false | 998 | r | #' @title Rounding of Null Imaginary Part of a Complex Number
#' @description imaginary parts with values very close to 0 are 'zapped', i.e. treated as 0.
#' Therefore, the number becomes real and changes its class from complex to numeric.
#' @param x a scalar or vector, real or complex.
#' @param tol a tolerance, ... |
% Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/solr_all.r
\name{solr_all}
\alias{solr_all}
\title{Solr search.}
\usage{
solr_all(q = "*:*", sort = NULL, start = 0, rows = NULL,
pageDoc = NULL, pageScore = NULL, fq = NULL, fl = NULL,
defType = NULL, timeAllowed = NULL, qt = NUL... | /man/solr_all.Rd | permissive | cran/solr | R | false | false | 3,833 | rd | % Generated by roxygen2 (4.1.1): do not edit by hand
% Please edit documentation in R/solr_all.r
\name{solr_all}
\alias{solr_all}
\title{Solr search.}
\usage{
solr_all(q = "*:*", sort = NULL, start = 0, rows = NULL,
pageDoc = NULL, pageScore = NULL, fq = NULL, fl = NULL,
defType = NULL, timeAllowed = NULL, qt = NUL... |
############################
#Step 0: configure parameters
#Change the following parameters based on your onw machine
#Also change the raw .xlsx file name because this name will be used among
#the whole pipeline and for generating final results
############################
rm(list=ls())
#directory of raw .xlsx files
ra... | /oscillation_pipeline.R | no_license | zijianni/RNA-oscillation-pipeline | R | false | false | 10,319 | r | ############################
#Step 0: configure parameters
#Change the following parameters based on your onw machine
#Also change the raw .xlsx file name because this name will be used among
#the whole pipeline and for generating final results
############################
rm(list=ls())
#directory of raw .xlsx files
ra... |
\name{mapPheWAStoExclusions}
\alias{mapPheWAStoExclusions}
\title{
Map PheWAS codes to their exclusions
}
\description{
This function maps phewas codes (optionally with ids for individuals) to a set of PheWAS code exclusions.
}
\usage{
mapPheWAStoExclusions(phewas.codes, ids=NA)
}
\arguments{
\item{phewas.codes}{
A v... | /man/mapPheWAStoExclusions.Rd | no_license | laurakwiley/PheWAS | R | false | false | 818 | rd | \name{mapPheWAStoExclusions}
\alias{mapPheWAStoExclusions}
\title{
Map PheWAS codes to their exclusions
}
\description{
This function maps phewas codes (optionally with ids for individuals) to a set of PheWAS code exclusions.
}
\usage{
mapPheWAStoExclusions(phewas.codes, ids=NA)
}
\arguments{
\item{phewas.codes}{
A v... |
calculate_infectiousness = function(states,out, JOBID) {
infectiousness_all <- vector("list", length = length(states))
all_data_out <- data.frame()
for (i in 1:length(states)){
state <- states[[i]]
N <- length(dates[[i]])
print(state)
inf <- colMeans(out$infectiousness[,1:N,i])
inf_li <- colQu... | /usa/code/utils/calculate-infectiousness.r | permissive | fvalka/covid19model | R | false | false | 1,547 | r | calculate_infectiousness = function(states,out, JOBID) {
infectiousness_all <- vector("list", length = length(states))
all_data_out <- data.frame()
for (i in 1:length(states)){
state <- states[[i]]
N <- length(dates[[i]])
print(state)
inf <- colMeans(out$infectiousness[,1:N,i])
inf_li <- colQu... |
library(shinydashboard)
library(shinyjs)
library(DT)
header <- dashboardHeader(
title = "Trabajo con imágenes",
titleWidth = 250
)
sidebar <- dashboardSidebar(
# Menú con las pestañas
sidebarMenu(
menuItem("Información de las mamografías", tabName = "info", icon = icon("table")),
menuItem("Limpieza de... | /app/ui.R | permissive | data-and-code/trabajo_con_imagenes | R | false | false | 7,524 | r | library(shinydashboard)
library(shinyjs)
library(DT)
header <- dashboardHeader(
title = "Trabajo con imágenes",
titleWidth = 250
)
sidebar <- dashboardSidebar(
# Menú con las pestañas
sidebarMenu(
menuItem("Información de las mamografías", tabName = "info", icon = icon("table")),
menuItem("Limpieza de... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Timing_general.R
\name{CreateTimeunits}
\alias{CreateTimeunits}
\title{Creates time unit}
\usage{
CreateTimeunits(starttime)
}
\description{
Creates time unit
}
| /man/CreateTimeunits.Rd | no_license | winggy/FluxnetLSM | R | false | true | 240 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Timing_general.R
\name{CreateTimeunits}
\alias{CreateTimeunits}
\title{Creates time unit}
\usage{
CreateTimeunits(starttime)
}
\description{
Creates time unit
}
|
library(targets)
library(tarchetypes)
future::plan(future::multisession)
purrr::walk(fs::dir_ls("R"), source)
tar_option_set(packages = c("tidyverse", "tidygraph", "ggraph"))
list(
tar_file(file_data, "data/data.xlsx"),
tar_target(sheet_names, readxl::excel_sheets(file_data)),
tar_target(
data,
read_data(... | /_targets.R | no_license | psychelzh/linguistic | R | false | false | 1,586 | r | library(targets)
library(tarchetypes)
future::plan(future::multisession)
purrr::walk(fs::dir_ls("R"), source)
tar_option_set(packages = c("tidyverse", "tidygraph", "ggraph"))
list(
tar_file(file_data, "data/data.xlsx"),
tar_target(sheet_names, readxl::excel_sheets(file_data)),
tar_target(
data,
read_data(... |
#' @title The WeStCOMS mesh around a sample of elements in the Oban area
#' @description An unstructured grid surrounding elements (i.e. based on nodes) for a subset of the WeStCOMS mesh in an area around Oban (see \code{\link[fvcom.tbx]{dat_area_boundaries}}).
#'
#' @format A SpatialPolygonsDataFrame (see \code{\link[... | /R/dat_mesh_around_elements.R | no_license | han-tun/fvcom.tbx | R | false | false | 482 | r | #' @title The WeStCOMS mesh around a sample of elements in the Oban area
#' @description An unstructured grid surrounding elements (i.e. based on nodes) for a subset of the WeStCOMS mesh in an area around Oban (see \code{\link[fvcom.tbx]{dat_area_boundaries}}).
#'
#' @format A SpatialPolygonsDataFrame (see \code{\link[... |
# fastmetrics: Performance metrics ported from scikit-learn
# Copyright (C) 2013 Sean Whalen
# 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 Foundation, either version 3 of the License, or
# (at your optio... | /R/fastmetrics.R | no_license | Web5design/fastmetrics | R | false | false | 7,459 | r | # fastmetrics: Performance metrics ported from scikit-learn
# Copyright (C) 2013 Sean Whalen
# 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 Foundation, either version 3 of the License, or
# (at your optio... |
testlist <- list(A = structure(c(2.31584178474648e+77, 9.53818252170339e+295, 1.22810536108214e+146, 4.12396251261199e-221, 0, 0, 0), .Dim = c(1L, 7L)), 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/1613112171-test.R | no_license | akhikolla/updatedatatype-list3 | R | false | false | 257 | r | testlist <- list(A = structure(c(2.31584178474648e+77, 9.53818252170339e+295, 1.22810536108214e+146, 4.12396251261199e-221, 0, 0, 0), .Dim = c(1L, 7L)), B = structure(0, .Dim = c(1L, 1L)))
result <- do.call(multivariance:::match_rows,testlist)
str(result) |
#
# This is the user-interface definition of a Shiny web application. You can
# run the application by clicking 'Run App' above.
#
# Find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com/
#
library(shiny)
library(shinythemes)
library(SimSpin)
library(shinycssloaders)
library(plot3D... | /ui.R | no_license | kateharborne/SimSpin_app | R | false | false | 12,834 | r | #
# This is the user-interface definition of a Shiny web application. You can
# run the application by clicking 'Run App' above.
#
# Find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com/
#
library(shiny)
library(shinythemes)
library(SimSpin)
library(shinycssloaders)
library(plot3D... |
install.packages("data.table")
library(data.table)
DF = data.frame(x=rnorm(9))
help(rnorm)
| /longgb/R/Learning/learning_01.R | no_license | longgb246/pythonstudy | R | false | false | 94 | r | install.packages("data.table")
library(data.table)
DF = data.frame(x=rnorm(9))
help(rnorm)
|
df = read.csv('data/repository_names_count_events_top1000.csv')
dfs = read.csv('data/repository_names_count_events_top1000_sorted_by_name.csv.csv')
dfs = read.csv('data/repository_names_count_events_top1000_sorted_by_name.csv')
head(dfs)
sum(dfs$aggregate_counts)
dfs = read.csv('data/repository_names_count_events_top10... | /analysis/repo_name_imitation/clean_repo_names.r | no_license | metacommunities/metacommunities | R | false | false | 3,343 | r | df = read.csv('data/repository_names_count_events_top1000.csv')
dfs = read.csv('data/repository_names_count_events_top1000_sorted_by_name.csv.csv')
dfs = read.csv('data/repository_names_count_events_top1000_sorted_by_name.csv')
head(dfs)
sum(dfs$aggregate_counts)
dfs = read.csv('data/repository_names_count_events_top10... |
library(leaflet)
dir()
ct<- read.csv("data/cafe.csv")
# Be sure to first set the working directory in R to where the file is listed
address_waw <- c(52.2330251,20.9803086)
m <- leaflet(ct) %>% addProviderTiles("CartoDB.Positron") %>%
setView(address_waw[2], address_waw[1], zoom = 11) %>%
addCircles(~lon, ~lat, po... | /R/visualize_sinlge_category.R | no_license | WawCode16/mdw-data-retrieval | R | false | false | 427 | r | library(leaflet)
dir()
ct<- read.csv("data/cafe.csv")
# Be sure to first set the working directory in R to where the file is listed
address_waw <- c(52.2330251,20.9803086)
m <- leaflet(ct) %>% addProviderTiles("CartoDB.Positron") %>%
setView(address_waw[2], address_waw[1], zoom = 11) %>%
addCircles(~lon, ~lat, po... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/EvoTrees.R
\name{best_iter.JuliaObject}
\alias{best_iter.JuliaObject}
\title{Get model best iter and eval metric}
\usage{
best_iter.JuliaObject(model)
}
\description{
Get model best iter and eval metric
}
| /man/best_iter.JuliaObject.Rd | permissive | StatMixedML/EvoTrees | R | false | true | 284 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/EvoTrees.R
\name{best_iter.JuliaObject}
\alias{best_iter.JuliaObject}
\title{Get model best iter and eval metric}
\usage{
best_iter.JuliaObject(model)
}
\description{
Get model best iter and eval metric
}
|
shinyServer(function(input, output) {
output$provincia.uisel<-renderUI({
provincia.list<-df %>% filter(CCAA==input$CCAA.sel) %>% select(Provincia) %>% distinct()
provincia.list<-as.character(provincia.list[,1])
selectInput("provincia.sel",
label ... | /server.R | no_license | BaltiBoix/shinyCORES | R | false | false | 23,067 | r | shinyServer(function(input, output) {
output$provincia.uisel<-renderUI({
provincia.list<-df %>% filter(CCAA==input$CCAA.sel) %>% select(Provincia) %>% distinct()
provincia.list<-as.character(provincia.list[,1])
selectInput("provincia.sel",
label ... |
#' Level 1 CAT decision tree generator
#'
#' Generates a list of nodes lists for the first level of the CAT decision tree
#'
#' @param bank matrix of the item bank. Rows represent items, and columns
#' represent parameters. If the model is \code{"GRM"}, the first column
#' represents the \code{alpha} parameters a... | /R/create_level_1.R | no_license | cran/cat.dt | R | false | false | 2,453 | r | #' Level 1 CAT decision tree generator
#'
#' Generates a list of nodes lists for the first level of the CAT decision tree
#'
#' @param bank matrix of the item bank. Rows represent items, and columns
#' represent parameters. If the model is \code{"GRM"}, the first column
#' represents the \code{alpha} parameters a... |
\name{findVar}
\alias{findVar}
\title{Recursively explore a list}
\usage{
findVar(object, pattern, ...)
}
\arguments{
\item{object}{A list.}
\item{pattern}{a function (must return a logical).}
\item{...}{Optional arguments to be passed to
\code{grepl}.}
}
\value{
A list with the desired variable (\code{$var})... | /man/findVar.Rd | no_license | SESjo/SES | R | false | false | 884 | rd | \name{findVar}
\alias{findVar}
\title{Recursively explore a list}
\usage{
findVar(object, pattern, ...)
}
\arguments{
\item{object}{A list.}
\item{pattern}{a function (must return a logical).}
\item{...}{Optional arguments to be passed to
\code{grepl}.}
}
\value{
A list with the desired variable (\code{$var})... |
library(shiny)
shinyUI(
fluidPage(
titlePanel("Interactive Normal Distribution"),
sidebarLayout(
sidebarPanel(
sliderInput("obs", "Select the number of observations", min = 1, max = 1000, val = 100),
br(),
sliderInput("mean", "Select the mean for the Normal Distribution", min = -10... | /InteractiveNormalDistribution/ui.r | permissive | melissavanbussel/shiny-apps | R | false | false | 1,525 | r | library(shiny)
shinyUI(
fluidPage(
titlePanel("Interactive Normal Distribution"),
sidebarLayout(
sidebarPanel(
sliderInput("obs", "Select the number of observations", min = 1, max = 1000, val = 100),
br(),
sliderInput("mean", "Select the mean for the Normal Distribution", min = -10... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/help_parameter_estimation_functions.R
\name{load_trial_data}
\alias{load_trial_data}
\title{Function to load the file containing trial data and return it}
\usage{
load_trial_data(file = NULL, sheet = NULL)
}
\arguments{
\item{file, }{name of ... | /man/load_trial_data.Rd | no_license | sheejamk/packDAMipd | R | false | true | 618 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/help_parameter_estimation_functions.R
\name{load_trial_data}
\alias{load_trial_data}
\title{Function to load the file containing trial data and return it}
\usage{
load_trial_data(file = NULL, sheet = NULL)
}
\arguments{
\item{file, }{name of ... |
testlist <- list(AgeVector = c(-4.73074171454048e-167, 2.2262381097027e-76, -9.12990429452974e-204, 5.97087417427845e-79, 4.7390525269307e-300, 6.58361441690132e-121, 3.58574658665472e-154, -2.94504776827523e-186, 2.62380314702636e-116, -6.78950518864266e+23, 6.99695749856012e-167, 86485.676793021, 1.11271562183704... | /myTAI/inst/testfiles/cpp_bootMatrix/AFL_cpp_bootMatrix/cpp_bootMatrix_valgrind_files/1615768303-test.R | no_license | akhikolla/updatedatatype-list3 | R | false | false | 1,803 | r | testlist <- list(AgeVector = c(-4.73074171454048e-167, 2.2262381097027e-76, -9.12990429452974e-204, 5.97087417427845e-79, 4.7390525269307e-300, 6.58361441690132e-121, 3.58574658665472e-154, -2.94504776827523e-186, 2.62380314702636e-116, -6.78950518864266e+23, 6.99695749856012e-167, 86485.676793021, 1.11271562183704... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/wtd.rowMeans.R
\name{wtd.rowMeans}
\alias{wtd.rowMeans}
\title{Weighted Mean of each Row - WORK IN PROGRESS}
\usage{
wtd.rowMeans(x, wts = 1, na.rm = FALSE, dims = 1)
}
\arguments{
\item{x}{Data.frame or matrix, required.}
\item{wts}{Weights... | /man/wtd.rowMeans.Rd | no_license | ejanalysis/analyze.stuff | R | false | true | 1,767 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/wtd.rowMeans.R
\name{wtd.rowMeans}
\alias{wtd.rowMeans}
\title{Weighted Mean of each Row - WORK IN PROGRESS}
\usage{
wtd.rowMeans(x, wts = 1, na.rm = FALSE, dims = 1)
}
\arguments{
\item{x}{Data.frame or matrix, required.}
\item{wts}{Weights... |
generate_figure2_plots <- function() {
fig_dir <- "figs/paper_figs/fig2"
if (!dir.exists(fig_dir)) {
dir.create(fig_dir)
}
# fig 2c
atlas_projection_tko_chimera()
# fig 2d
host_vs_ko_age(T)
# fig 2e
tko_barplot_ct_frequency(mat_nm = "tko_chim_wt10", ko_type = "KO", plot... | /scripts/paper_figures/fig2.R | no_license | tanaylab/tet-gastrulation | R | false | false | 27,669 | r |
generate_figure2_plots <- function() {
fig_dir <- "figs/paper_figs/fig2"
if (!dir.exists(fig_dir)) {
dir.create(fig_dir)
}
# fig 2c
atlas_projection_tko_chimera()
# fig 2d
host_vs_ko_age(T)
# fig 2e
tko_barplot_ct_frequency(mat_nm = "tko_chim_wt10", ko_type = "KO", plot... |
#' @title Provides the t-test and chi square's p value and statistic for binary targets and provides it in a dataframe for a set of columns or for a whole dataframe.In case of ANOVA provides all possible tests's summary
#' @description 1.Provides the t-test and chi square's p value and statistic and provides it in a ... | /R/ANOVA_testing.R | no_license | Manistrikes23493/PackageHyptest | R | false | false | 2,514 | r | #' @title Provides the t-test and chi square's p value and statistic for binary targets and provides it in a dataframe for a set of columns or for a whole dataframe.In case of ANOVA provides all possible tests's summary
#' @description 1.Provides the t-test and chi square's p value and statistic and provides it in a ... |
context("canvasXpress Web Charts - Area")
ifelse(interactive(), source("tests/cX-function.R"), source("../cX-function.R"))
test_that("cXarea1", {
result <- cXarea1()
if (interactive()) { print(result) }
expect_s3_class(result, "canvasXpress")
expect_s3_class(result, "htmlwidget")
})
test_that("c... | /tests/testthat/test-area.R | no_license | ginberg/canvasXpress | R | false | false | 1,223 | r | context("canvasXpress Web Charts - Area")
ifelse(interactive(), source("tests/cX-function.R"), source("../cX-function.R"))
test_that("cXarea1", {
result <- cXarea1()
if (interactive()) { print(result) }
expect_s3_class(result, "canvasXpress")
expect_s3_class(result, "htmlwidget")
})
test_that("c... |
# ------------------------------------------------
# The Separation of Between-Person and Within-Person Components
# of Individual Change Over Time: A Latent Curve Model
# With Structured Residuals
#
# Curran, Howard, Bainter, Lane, McGinley
#
# Journal of Consulting and Clinical Psychology 2014
# doi.org/10.1037/a00... | /curran2014-separation.R | no_license | cddesja/lavaan-reproducible | R | false | false | 18,118 | r | # ------------------------------------------------
# The Separation of Between-Person and Within-Person Components
# of Individual Change Over Time: A Latent Curve Model
# With Structured Residuals
#
# Curran, Howard, Bainter, Lane, McGinley
#
# Journal of Consulting and Clinical Psychology 2014
# doi.org/10.1037/a00... |
setwd("your\\dir")
rm(list = ls())
## current data set name
db <- "nr"
switch (db,
en = {
cat("en data\n")
flush.console()
sd <- read.table("e_simmat_dc.txt")
sd <- as.matrix(sd)
st <- read.table("e_simmat_dg.txt")
st <- as.matrix(st... | /KronRLSMKL/demo_kronRlsMKL.R | no_license | minghao2016/chemogenomicAlg4DTIpred | R | false | false | 4,697 | r |
setwd("your\\dir")
rm(list = ls())
## current data set name
db <- "nr"
switch (db,
en = {
cat("en data\n")
flush.console()
sd <- read.table("e_simmat_dc.txt")
sd <- as.matrix(sd)
st <- read.table("e_simmat_dg.txt")
st <- as.matrix(st... |
library(plotly)
library(dplyr)
setwd('D:/Buren_files/MEGA/papersAle/Frank_etal_2016_rebuttal/IcelandCod')
## cod ----
icecod <- read.table('Cod_Iceland.txt', header = T, sep = ' ')
icecod17 <- read.table('Cod_Iceland_2017.txt', header = T, sep = ' ')
with(icecod, plot(year, SSB))
with(icecod17, plot(year, age4.bi... | /IcelandCod/Cod_Iceland_plot.r | no_license | adbpatagonia/Frank_etal_rebuttal | R | false | false | 2,247 | r | library(plotly)
library(dplyr)
setwd('D:/Buren_files/MEGA/papersAle/Frank_etal_2016_rebuttal/IcelandCod')
## cod ----
icecod <- read.table('Cod_Iceland.txt', header = T, sep = ' ')
icecod17 <- read.table('Cod_Iceland_2017.txt', header = T, sep = ' ')
with(icecod, plot(year, SSB))
with(icecod17, plot(year, age4.bi... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/scores_nbinom.R
\name{scores_nbinom}
\alias{scores_nbinom}
\alias{crps_nbinom}
\alias{logs_nbinom}
\title{Calculating scores for the negative binomial distribution}
\usage{
crps_nbinom(y, size, prob, mu)
logs_nbinom(y, size, prob, mu)
}
\arg... | /man/scores_nbinom.Rd | no_license | thiyangt/scoringRules | R | false | true | 934 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/scores_nbinom.R
\name{scores_nbinom}
\alias{scores_nbinom}
\alias{crps_nbinom}
\alias{logs_nbinom}
\title{Calculating scores for the negative binomial distribution}
\usage{
crps_nbinom(y, size, prob, mu)
logs_nbinom(y, size, prob, mu)
}
\arg... |
#' @title Negative log-likelihood for potentially constrained von Bertalanffy growth model (typically used internally).
#'
#' @description \code{vb_bind_nll} returns the negative log-likelihood for the von Bertalanffy model. Equality constraints across sexes can be implemented for any combination of parameters using th... | /R/vb_bind_nll.R | no_license | mintoc/lhmixr | R | false | false | 2,846 | r | #' @title Negative log-likelihood for potentially constrained von Bertalanffy growth model (typically used internally).
#'
#' @description \code{vb_bind_nll} returns the negative log-likelihood for the von Bertalanffy model. Equality constraints across sexes can be implemented for any combination of parameters using th... |
library(testthat)
context("Tests for tracker")
tcxfile <- system.file("extdata", "2013-06-08-090442.TCX", package = "trackeR")
DataNonGarmin <- readContainer(tcxfile, cores = 2)
## Test trackeRdata object
test_that("class of object from readContainer is trackeRdata", {
expect_is(DataNonGarmin, "trackeRdata")
})
... | /trackeR/tests/testthat/tests_testthat.R | no_license | ingted/R-Examples | R | false | false | 2,399 | r | library(testthat)
context("Tests for tracker")
tcxfile <- system.file("extdata", "2013-06-08-090442.TCX", package = "trackeR")
DataNonGarmin <- readContainer(tcxfile, cores = 2)
## Test trackeRdata object
test_that("class of object from readContainer is trackeRdata", {
expect_is(DataNonGarmin, "trackeRdata")
})
... |
# If each ln = l, we have pn = (1-l)^(n-1) * l, which is the geometric distribution
# on 1, 2, ... So, the geometric distribution corresponds to the case of a constant
# hazard rate.
n = 100000
l = 0.9
U <- runif(n)
f <- c()
j <- 1
Fj <- 1
while (sum(f) < n) {
f[j] <- length(which(U >= Fj * (1 - l) & U < Fj))
j ... | /4.18-19.R | no_license | fengzenggithub/R-Simulation-by-Ross | R | false | false | 1,654 | r | # If each ln = l, we have pn = (1-l)^(n-1) * l, which is the geometric distribution
# on 1, 2, ... So, the geometric distribution corresponds to the case of a constant
# hazard rate.
n = 100000
l = 0.9
U <- runif(n)
f <- c()
j <- 1
Fj <- 1
while (sum(f) < n) {
f[j] <- length(which(U >= Fj * (1 - l) & U < Fj))
j ... |
ResultTable <- read.csv("wResult.csv", head=T);
summary(ResultTable)
ori <- ResultTable$AvgFromReviews
w1 <- ResultTable$wIDF
w2 <- ResultTable$wAvg
w3 <- ResultTable$wRM
w4 <- ResultTable$wBase
n <- length(ori)
RMSE1 <- sqrt(sum((ori-w1)^2)/n)
RMSE2 <- sqrt(sum((ori-w2)^2)/n)
RMSE3 <- sqrt(sum((ori-w3)^2)/n)
RMSE4... | /llh/计算商品和类别对应表/testResult.R | no_license | hustwcw/RecSys2013 | R | false | false | 347 | r | ResultTable <- read.csv("wResult.csv", head=T);
summary(ResultTable)
ori <- ResultTable$AvgFromReviews
w1 <- ResultTable$wIDF
w2 <- ResultTable$wAvg
w3 <- ResultTable$wRM
w4 <- ResultTable$wBase
n <- length(ori)
RMSE1 <- sqrt(sum((ori-w1)^2)/n)
RMSE2 <- sqrt(sum((ori-w2)^2)/n)
RMSE3 <- sqrt(sum((ori-w3)^2)/n)
RMSE4... |
## File:- cachematrix.R
## This file contains a pair of functions - 'makeCacheMatrix' &
## 'cacheSolve' - implemented for 'Caching the Inverse of a Matrix'.
## The function 'makeCacheMatrix' creates a special "matrix" object
## that can cache its inverse. The function 'cacheSolve' computes the
## inverse of the sp... | /cachematrix.R | no_license | Veena-S/ProgrammingAssignment2 | R | false | false | 2,463 | r | ## File:- cachematrix.R
## This file contains a pair of functions - 'makeCacheMatrix' &
## 'cacheSolve' - implemented for 'Caching the Inverse of a Matrix'.
## The function 'makeCacheMatrix' creates a special "matrix" object
## that can cache its inverse. The function 'cacheSolve' computes the
## inverse of the sp... |
plotData <- read.table("household_power_consumption.txt", header=T, sep=";", na.strings="?")
## set time variable
finalData <- plotData[plotData$Date %in% c("1/2/2007","2/2/2007"),]
SetTime <-strptime(paste(finalData$Date, finalData$Time, sep=" "),"%d/%m/%Y %H:%M:%S")
finalData <- cbind(SetTime, finalData)
##
## Genera... | /Plot4.R | no_license | fmrigueiro/Exploratory-Data-Analysis | R | false | false | 1,148 | r | plotData <- read.table("household_power_consumption.txt", header=T, sep=";", na.strings="?")
## set time variable
finalData <- plotData[plotData$Date %in% c("1/2/2007","2/2/2007"),]
SetTime <-strptime(paste(finalData$Date, finalData$Time, sep=" "),"%d/%m/%Y %H:%M:%S")
finalData <- cbind(SetTime, finalData)
##
## Genera... |
#' Sequential Optimal Design
#'
#' Given a set of georeferenced measurements, this function finds the `add.pts`
#' optimal locations for sampling.
#'
#' @param geodata A geodata object containing the initial sample
#' @param add.pts Number of points to be added to the initial sample
#' @param n Number of points in the... | /R/sod.R | no_license | GS-Ferreira/geodesign | R | false | false | 24,338 | r |
#' Sequential Optimal Design
#'
#' Given a set of georeferenced measurements, this function finds the `add.pts`
#' optimal locations for sampling.
#'
#' @param geodata A geodata object containing the initial sample
#' @param add.pts Number of points to be added to the initial sample
#' @param n Number of points in the... |
library(lubridate)
library(mailR)
library(shiny)
library(RMySQL)
library(dplyr)
library(plyr)
library(DT)
library(twitteR)
library(shinythemes)
Free_agent <- read.csv("FA.csv")
team <- read.csv("team.csv")
team$Team <- as.character(team$Team)
setup_twitter_oauth(consumer_key, consumer_secret, access_token, access_sec... | /app.R | no_license | ryuth/FA_app | R | false | false | 52,228 | r | library(lubridate)
library(mailR)
library(shiny)
library(RMySQL)
library(dplyr)
library(plyr)
library(DT)
library(twitteR)
library(shinythemes)
Free_agent <- read.csv("FA.csv")
team <- read.csv("team.csv")
team$Team <- as.character(team$Team)
setup_twitter_oauth(consumer_key, consumer_secret, access_token, access_sec... |
#' cum_usage_plot UI Function
#'
#' @description A shiny Module.
#'
#' @param id,input,output,session Internal parameters for {shiny}.
#'
#' @noRd
#'
#' @importFrom shiny NS tagList
mod_cum_usage_plot_ui <- function(id){
ns <- NS(id)
tagList(
column(10,
shinycssloaders::withSpinner(dygraphs::dygraphOutput... | /R/mod_cum_usage_plot.R | permissive | MHenderson/energy-use | R | false | false | 5,316 | r | #' cum_usage_plot UI Function
#'
#' @description A shiny Module.
#'
#' @param id,input,output,session Internal parameters for {shiny}.
#'
#' @noRd
#'
#' @importFrom shiny NS tagList
mod_cum_usage_plot_ui <- function(id){
ns <- NS(id)
tagList(
column(10,
shinycssloaders::withSpinner(dygraphs::dygraphOutput... |
# install.packages("readxl")
# install.packages("sf")
# install.packages("stringr")
# install.packages("dplyr")
# install.packages("leaflet")
# install.packages("janitor")
# install.packages("leaflet.extras")
# install.packages("htmlwidgets")
# install.packages("htmltools")
# install.packages("glue")
# instal... | /bolton geographies map.R | no_license | shanwilkinson2/random_leafletmaps | R | false | false | 14,161 | r | # install.packages("readxl")
# install.packages("sf")
# install.packages("stringr")
# install.packages("dplyr")
# install.packages("leaflet")
# install.packages("janitor")
# install.packages("leaflet.extras")
# install.packages("htmlwidgets")
# install.packages("htmltools")
# install.packages("glue")
# instal... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/databasemigrationservice_operations.R
\name{databasemigrationservice_modify_replication_instance}
\alias{databasemigrationservice_modify_replication_instance}
\title{Modifies the replication instance to apply new settings}
\usage{
databasemig... | /cran/paws.migration/man/databasemigrationservice_modify_replication_instance.Rd | permissive | paws-r/paws | R | false | true | 6,915 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/databasemigrationservice_operations.R
\name{databasemigrationservice_modify_replication_instance}
\alias{databasemigrationservice_modify_replication_instance}
\title{Modifies the replication instance to apply new settings}
\usage{
databasemig... |
\name{multComb}
\alias{multComb}
\title{
Combinations of the first n integers in k groups
}
\description{
This is a function, used for generating the permutations used for the Exact distribution of many of the statistical procedures in Hollander, Wolfe, Chicken - Nonparametric Statistical Methods Third Edition, t... | /man/multComb.Rd | no_license | cran/NSM3 | R | false | false | 1,004 | rd | \name{multComb}
\alias{multComb}
\title{
Combinations of the first n integers in k groups
}
\description{
This is a function, used for generating the permutations used for the Exact distribution of many of the statistical procedures in Hollander, Wolfe, Chicken - Nonparametric Statistical Methods Third Edition, t... |
######################################################################
path="LncEvoDevo/"
pathStringTie=paste(path,"results/stringtie_assembly/",sep="")
pathEnsembl=paste(path, "data/ensembl_annotations/",sep="")
pathUCSC=paste(path, "data/UCSC_sequences/",sep="")
release=94
options(scipen=999) ## remove scientific ... | /ortho_genes/exon_projections/format.exon.blocks.bed.R | no_license | anecsulea/LncEvoDevo | R | false | false | 1,810 | r | ######################################################################
path="LncEvoDevo/"
pathStringTie=paste(path,"results/stringtie_assembly/",sep="")
pathEnsembl=paste(path, "data/ensembl_annotations/",sep="")
pathUCSC=paste(path, "data/UCSC_sequences/",sep="")
release=94
options(scipen=999) ## remove scientific ... |
# This is the server logic for a Shiny web application.
# You can find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com
#
library(shiny)
shinyServer(function(input, output) {
output$contents <- renderTable({
# input$file1 will be NULL initially. After the user selects
... | /upload/server.R | no_license | divensambhwani/R-Shiny | R | false | false | 1,013 | r |
# This is the server logic for a Shiny web application.
# You can find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com
#
library(shiny)
shinyServer(function(input, output) {
output$contents <- renderTable({
# input$file1 will be NULL initially. After the user selects
... |
#=====================================================================================================================
# Analysis of A2058 response in PLX4720
#=====================================================================================================================
# Set the working directory, read the file... | /LongTerm/A2058_PLX4720_Response.R | no_license | paudelbb/Paudel_et_al_2016 | R | false | false | 1,457 | r | #=====================================================================================================================
# Analysis of A2058 response in PLX4720
#=====================================================================================================================
# Set the working directory, read the file... |
library(shiny)
library(dygraphs)
library(shinydashboard)
###UI
ui <- dashboardPage(skin = "purple",
dashboardHeader(title = "Visualization of eddy-covariance data",titleWidth = 350),
dashboardSidebar(
tags$head( tags$script(type="text/javascript",'$(document).ready(function(){
$... | /ui.R | no_license | MarekBernhauser/ShinyMeteo | R | false | false | 2,735 | r | library(shiny)
library(dygraphs)
library(shinydashboard)
###UI
ui <- dashboardPage(skin = "purple",
dashboardHeader(title = "Visualization of eddy-covariance data",titleWidth = 350),
dashboardSidebar(
tags$head( tags$script(type="text/javascript",'$(document).ready(function(){
$... |
#### 09-1 ####
## -------------------------------------------------------------------- ##
install.packages("foreign") # foreign 패키지 설치
library(foreign) # SPSS 파일 로드
library(dplyr) # 전처리
library(ggplot2) # 시각화
library(readxl) # 엑셀 파일 불러오기
# 데이터 불러오기
raw_welfare <- r... | /Script_Part09.r | no_license | CheonYoonHan/BigData_R | R | false | false | 11,400 | r | #### 09-1 ####
## -------------------------------------------------------------------- ##
install.packages("foreign") # foreign 패키지 설치
library(foreign) # SPSS 파일 로드
library(dplyr) # 전처리
library(ggplot2) # 시각화
library(readxl) # 엑셀 파일 불러오기
# 데이터 불러오기
raw_welfare <- r... |
library(ape)
library(phyloch)
source("dstats.R")
source("fastConc.R")
setwd("/1_Aligns/1_raw")
read.csv("Seqs_metadata.csv", stringsAsFactors = F) -> meta
unique(meta[,c(2,3,7)]) -> clades
in.dir <- "/1_Aligns/2_singles_aligned"
out.dir <- "/1_Aligns/3_singles_filtered"
##################################... | /1 Concatenate.R | no_license | mreginato/Melastomataceae_dispersal_mode_scripts | R | false | false | 6,891 | r | library(ape)
library(phyloch)
source("dstats.R")
source("fastConc.R")
setwd("/1_Aligns/1_raw")
read.csv("Seqs_metadata.csv", stringsAsFactors = F) -> meta
unique(meta[,c(2,3,7)]) -> clades
in.dir <- "/1_Aligns/2_singles_aligned"
out.dir <- "/1_Aligns/3_singles_filtered"
##################################... |
# Load packages
needed_packages = c("dplyr", "data.table", "sf", "tibble")
for (package in needed_packages) {
if (!require(package, character.only=TRUE))
{install.packages(package, character.only=TRUE)}
library(package, character.only=TRUE)
}
rm("needed_packages", "package")
# Set working directory to th... | /SPL_Berlin_Districts_Neighbourhoods/berlin_districts_neighbourhoods.R | no_license | silvia-ventoruzzo/SPL-WISE-2018 | R | false | false | 2,157 | r | # Load packages
needed_packages = c("dplyr", "data.table", "sf", "tibble")
for (package in needed_packages) {
if (!require(package, character.only=TRUE))
{install.packages(package, character.only=TRUE)}
library(package, character.only=TRUE)
}
rm("needed_packages", "package")
# Set working directory to th... |
# Source: PLS Path Modeling with R
# by Gaston Sanchez
# www.gastonsanchez.com
# Chapter 7: Moderating Effects (조절변수)
rm(list=ls())
setwd("~/R/Structural Equation Modeling")
# Case Study: Simplified Customer Satisfaction
# load package 'plspm'
library("plspm")
# Step 1: plspm 라이브러리를 열고 satisfaction 데이터... | /PLS04.R | no_license | Joshuariver/SEM | R | false | false | 2,602 | r | # Source: PLS Path Modeling with R
# by Gaston Sanchez
# www.gastonsanchez.com
# Chapter 7: Moderating Effects (조절변수)
rm(list=ls())
setwd("~/R/Structural Equation Modeling")
# Case Study: Simplified Customer Satisfaction
# load package 'plspm'
library("plspm")
# Step 1: plspm 라이브러리를 열고 satisfaction 데이터... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/get_formula.R
\name{get_formula}
\alias{get_formula}
\title{Get formula of models.}
\usage{
get_formula(x, ...)
}
\arguments{
\item{x}{Object.}
\item{...}{Arguments passed to or from other methods.}
}
\description{
Get formula of models. Imp... | /man/get_formula.Rd | permissive | HugoNjb/psycho.R | R | false | true | 710 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/get_formula.R
\name{get_formula}
\alias{get_formula}
\title{Get formula of models.}
\usage{
get_formula(x, ...)
}
\arguments{
\item{x}{Object.}
\item{...}{Arguments passed to or from other methods.}
}
\description{
Get formula of models. Imp... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.r
\docType{data}
\name{howard7}
\alias{howard7}
\title{Production, imports, exports, and consumption of hardwood products, by major product, 1965-1999.}
\format{A data frame with 56 observations on 31 variables:
\describe{
\item{AllProdu... | /man/howard7.Rd | no_license | alanarnholt/WOODCARB3R | R | false | true | 2,405 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.r
\docType{data}
\name{howard7}
\alias{howard7}
\title{Production, imports, exports, and consumption of hardwood products, by major product, 1965-1999.}
\format{A data frame with 56 observations on 31 variables:
\describe{
\item{AllProdu... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/stata.R
\name{scale_linetype_stata}
\alias{scale_linetype_stata}
\title{Stata linetype palette (discrete)}
\usage{
scale_linetype_stata(...)
}
\arguments{
\item{...}{Arguments passed on to \code{discrete_scale}
\describe{
\item{breaks}{One ... | /man/scale_linetype_stata.Rd | no_license | Mababyak/ggthemes | R | false | true | 2,733 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/stata.R
\name{scale_linetype_stata}
\alias{scale_linetype_stata}
\title{Stata linetype palette (discrete)}
\usage{
scale_linetype_stata(...)
}
\arguments{
\item{...}{Arguments passed on to \code{discrete_scale}
\describe{
\item{breaks}{One ... |
this.dir <- dirname(parent.frame(2)$ofile)
setwd(this.dir)
#setwd('/Users/gzchen/Documents/GitHub/thesis')
source('MyFuns.R')
##########################
######generate tree#######
set.seed(1012)
p <- 50
phy <- rtree(p)
phy$tip.label <- 1:p
######Define clusters & plot tree########
#define the associated clusters by ... | /type1err.R | no_license | gz-chen/thesis | R | false | false | 4,808 | r | this.dir <- dirname(parent.frame(2)$ofile)
setwd(this.dir)
#setwd('/Users/gzchen/Documents/GitHub/thesis')
source('MyFuns.R')
##########################
######generate tree#######
set.seed(1012)
p <- 50
phy <- rtree(p)
phy$tip.label <- 1:p
######Define clusters & plot tree########
#define the associated clusters by ... |
library(testthat)
source("tools/TestsTools.R")
test_that("Test Gramm_matrix(not_matrix)",{
expect_error(Gramm_matrix(c(NaN, NaN)), "Not appropriate input format")
expect_error(Gramm_matrix(data.frame(NaN, NaN)), "Not appropriate input format")
expect_error(Gramm_matrix(list(NaN, NaN)), "Not appropriate input fo... | /tests/test_MVCweights.R | no_license | h-dychko/zno_analysis | R | false | false | 5,778 | r | library(testthat)
source("tools/TestsTools.R")
test_that("Test Gramm_matrix(not_matrix)",{
expect_error(Gramm_matrix(c(NaN, NaN)), "Not appropriate input format")
expect_error(Gramm_matrix(data.frame(NaN, NaN)), "Not appropriate input format")
expect_error(Gramm_matrix(list(NaN, NaN)), "Not appropriate input fo... |
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/add_missing.R
\name{add_missing}
\alias{add_missing}
\title{Add missing values to a vector given a MCAR, MAR, or MNAR scheme}
\usage{
add_missing(y, fun = function(y, rate = 0.1, ...) rep(rate, length(y)), ...)
}
\arguments{
\item{y}{an input... | /man/add_missing.Rd | no_license | mattsigal/SimDesign | R | false | true | 3,499 | rd | % Generated by roxygen2: do not edit by hand
% Please edit documentation in R/add_missing.R
\name{add_missing}
\alias{add_missing}
\title{Add missing values to a vector given a MCAR, MAR, or MNAR scheme}
\usage{
add_missing(y, fun = function(y, rate = 0.1, ...) rep(rate, length(y)), ...)
}
\arguments{
\item{y}{an input... |
mdx_format = function(variant = "markdown_strict",
preserve_yaml = TRUE,
dev = 'png',
df_print = "tibble",
fig_width = 7,
fig_height = 5){
args <- ""
# add post_processor for yaml preservation
post_proce... | /R/mdx_format.R | permissive | jdnudel/writeMDX | R | false | false | 1,196 | r | mdx_format = function(variant = "markdown_strict",
preserve_yaml = TRUE,
dev = 'png',
df_print = "tibble",
fig_width = 7,
fig_height = 5){
args <- ""
# add post_processor for yaml preservation
post_proce... |
#Programming assignment (Exploratory Data Analysis)
data <- read.table('household_power_consumption.txt', sep = ';', check.names = TRUE, col.names = c('Date', 'Time', 'Global_active_power', 'Global_reactive_power', 'Voltage', 'Global_intensity', 'Sub_metering_1', 'Sub_metering_2', 'Sub_metering_3'))
data = data[-1,... | /Plot4.R | no_license | TriinK/ExData_Plotting1 | R | false | false | 1,764 | r | #Programming assignment (Exploratory Data Analysis)
data <- read.table('household_power_consumption.txt', sep = ';', check.names = TRUE, col.names = c('Date', 'Time', 'Global_active_power', 'Global_reactive_power', 'Voltage', 'Global_intensity', 'Sub_metering_1', 'Sub_metering_2', 'Sub_metering_3'))
data = data[-1,... |
## Loading the original data set
blogs <- readLines("./final/en_US/en_US.blogs.txt", encoding = "UTF-8", skipNul=TRUE)
news <- readLines("./final/en_US/en_US.news.txt", encoding = "UTF-8", skipNul=TRUE)
twitter <- readLines("./final/en_US/en_US.twitter.txt", encoding = "UTF-8", skipNul=TRUE)
## Generating a... | /testStuff/textSample.R | no_license | PavanYaswanth/capstone-project | R | false | false | 587 | r |
## Loading the original data set
blogs <- readLines("./final/en_US/en_US.blogs.txt", encoding = "UTF-8", skipNul=TRUE)
news <- readLines("./final/en_US/en_US.news.txt", encoding = "UTF-8", skipNul=TRUE)
twitter <- readLines("./final/en_US/en_US.twitter.txt", encoding = "UTF-8", skipNul=TRUE)
## Generating a... |
# SELECTING BIOCLIMATIC VARIABLES FOR MODELLING ADAPTED#
# using VIF analysis
#...................................................
#...................................................
# Packages ####
library("data.table")
library("raster")
library("dismo")
library("BiodiversityR")
library("car")
#........... | /script/02.1_vif_analysis_variable_selection.R | no_license | EJEYZiE01/Macadamia-modelling | R | false | false | 1,959 | r | # SELECTING BIOCLIMATIC VARIABLES FOR MODELLING ADAPTED#
# using VIF analysis
#...................................................
#...................................................
# Packages ####
library("data.table")
library("raster")
library("dismo")
library("BiodiversityR")
library("car")
#........... |
# SETUP ====
# load libraries ====
library(shiny)
library(shinydashboard)
library(shinyLP)
library(shinythemes)
library(plotly)
library(ggplot2)
library(data.table)
library(circlize)
library(dplyr)
library(stringr)
library(fs)
library(rmarkdown)
library(markdown)
library(data.table)
library(wesanderson)
library(shinycs... | /app/ui.R | permissive | mattlee821/EpiViz | R | false | false | 10,304 | r | # SETUP ====
# load libraries ====
library(shiny)
library(shinydashboard)
library(shinyLP)
library(shinythemes)
library(plotly)
library(ggplot2)
library(data.table)
library(circlize)
library(dplyr)
library(stringr)
library(fs)
library(rmarkdown)
library(markdown)
library(data.table)
library(wesanderson)
library(shinycs... |
#' @title Construct a gpuVector
#' @description Construct a gpuVector of a class that inherits
#' from \code{gpuVector}
#' @param data An object that is or can be converted to a
#' \code{vector}
#' @param length A non-negative integer specifying the desired length.
#' @param type A character string specifying the type... | /R/gpuVector.R | no_license | bryant1410/gpuR | R | false | false | 7,411 | r | #' @title Construct a gpuVector
#' @description Construct a gpuVector of a class that inherits
#' from \code{gpuVector}
#' @param data An object that is or can be converted to a
#' \code{vector}
#' @param length A non-negative integer specifying the desired length.
#' @param type A character string specifying the type... |
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