id stringlengths 40 40 | repo_name stringlengths 5 110 | path stringlengths 2 233 | content stringlengths 0 1.03M ⌀ | size int32 0 60M ⌀ | license stringclasses 15
values |
|---|---|---|---|---|---|
5ee3dbd3179e7af0a0b2ffc7c18b1eb7deb5b16c | personality-project/psych | R/p.rep.R | "p.rep" <- function(p=.05,n=NULL,twotailed=FALSE) {
df <- n - 2
if(twotailed) p <- 2*p
p.rep <- pnorm(qnorm((1-p))/sqrt(2))
if (!is.null(n)) { t <- -qt(p/2,df)
r.equiv <- sqrt(t^2/(t^2 + df))
dprime = 2*t*sqrt(1/df)
return(list(p.rep=p.rep,d.prime=dprime,r.equiv=r.equiv)) } else {
return(p.rep)}
... | 1,643 | gpl-2.0 |
9befb79f6d18fb021f662da52f405872caab9ff2 | swang8/Perl_scripts_misc | manhattan_plot.R | opts = commandArgs(trailingOnly=T)
input = opts[1]
data = read.table(input, sep=",", header=T)
data = data[order(data[,2], data[,3]),]
#chrs = paste(rep(1:7, each=2), "D", sep="")
data$chrName = data$Chromosome
nchrs = length(unique(data$Chromosome))
newPos = integer(nchrs)
tb = table(data$chrName)
tb_cumsum = c... | 836 | mit |
8d75732f414e9755356040d3fbf6650be963e28d | bedatadriven/renjin | tests/src/test/R/test.eval.R | #
# Renjin : JVM-based interpreter for the R language for the statistical analysis
# Copyright © 2010-2019 BeDataDriven Groep B.V. and contributors
#
# 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 Foundati... | 1,181 | gpl-2.0 |
49ede6a037ef2494f031cc43d14f49026425af1d | PawarPawan/h2o-v3 | h2o-r/tests/testdir_munging/slice/runit_NOPASS_match.R | ##
##
setwd(normalizePath(dirname(R.utils::commandArgs(asValues=TRUE)$"f")))
source('../../h2o-runit.R')
test.match <- function(conn) {
hex <- as.h2o(conn, iris)
#Log.info("Printing the head of the iris data frame.")
print(hex)
#Log.info("doing the match: hex$Species %in% c(\"setosa\", \"versicolor\")")
... | 2,089 | apache-2.0 |
49ede6a037ef2494f031cc43d14f49026425af1d | ChristosChristofidis/h2o-3 | h2o-r/tests/testdir_munging/slice/runit_NOPASS_match.R | ##
##
setwd(normalizePath(dirname(R.utils::commandArgs(asValues=TRUE)$"f")))
source('../../h2o-runit.R')
test.match <- function(conn) {
hex <- as.h2o(conn, iris)
#Log.info("Printing the head of the iris data frame.")
print(hex)
#Log.info("doing the match: hex$Species %in% c(\"setosa\", \"versicolor\")")
... | 2,089 | apache-2.0 |
49ede6a037ef2494f031cc43d14f49026425af1d | tarasane/h2o-3 | h2o-r/tests/testdir_munging/slice/runit_NOPASS_match.R | ##
##
setwd(normalizePath(dirname(R.utils::commandArgs(asValues=TRUE)$"f")))
source('../../h2o-runit.R')
test.match <- function(conn) {
hex <- as.h2o(conn, iris)
#Log.info("Printing the head of the iris data frame.")
print(hex)
#Log.info("doing the match: hex$Species %in% c(\"setosa\", \"versicolor\")")
... | 2,089 | apache-2.0 |
49ede6a037ef2494f031cc43d14f49026425af1d | weaver-viii/h2o-3 | h2o-r/tests/testdir_munging/slice/runit_NOPASS_match.R | ##
##
setwd(normalizePath(dirname(R.utils::commandArgs(asValues=TRUE)$"f")))
source('../../h2o-runit.R')
test.match <- function(conn) {
hex <- as.h2o(conn, iris)
#Log.info("Printing the head of the iris data frame.")
print(hex)
#Log.info("doing the match: hex$Species %in% c(\"setosa\", \"versicolor\")")
... | 2,089 | apache-2.0 |
9b6f978bc95ea2844e28d915ed92794e82f1cb95 | nplatonov/rmap | R/panel_plot.R | ## ?formals
'panel_plot' <- function(obj,...) {
if (.skipPlot(TRUE))
return(NULL)
geoType <- ""
isSP <- FALSE
isSF <- FALSE
arglist <- as.list(match.call())
isLang <- is.language(arglist[["obj"]])
if (isLang)
oname <- as.character(arglist["obj"])
else
oname <- "*undetermed*"
... | 15,254 | gpl-2.0 |
49ede6a037ef2494f031cc43d14f49026425af1d | bospetersen/h2o-3 | h2o-r/tests/testdir_munging/slice/runit_NOPASS_match.R | ##
##
setwd(normalizePath(dirname(R.utils::commandArgs(asValues=TRUE)$"f")))
source('../../h2o-runit.R')
test.match <- function(conn) {
hex <- as.h2o(conn, iris)
#Log.info("Printing the head of the iris data frame.")
print(hex)
#Log.info("doing the match: hex$Species %in% c(\"setosa\", \"versicolor\")")
... | 2,089 | apache-2.0 |
49ede6a037ef2494f031cc43d14f49026425af1d | mrgloom/h2o-3 | h2o-r/tests/testdir_munging/slice/runit_NOPASS_match.R | ##
##
setwd(normalizePath(dirname(R.utils::commandArgs(asValues=TRUE)$"f")))
source('../../h2o-runit.R')
test.match <- function(conn) {
hex <- as.h2o(conn, iris)
#Log.info("Printing the head of the iris data frame.")
print(hex)
#Log.info("doing the match: hex$Species %in% c(\"setosa\", \"versicolor\")")
... | 2,089 | apache-2.0 |
ed34d823b598a87563e885e6e7806d0bcd0f57e7 | jnguyen92/nhuyhoa | _data/Recipes.R | #----------------------------------------------------------------------------------------------------------
# lobster roll
ingredients = list(
Other = c("japanese mayo", "salt", "pepper", "margarine", "hotdog buns"),
Meat = c("lobster tail"),
Veggies = c("green onions", "lettuce"),
Fruit = ""
)
instructions = d... | 34,479 | mit |
ed34d823b598a87563e885e6e7806d0bcd0f57e7 | jennguyen1/nhuyhoa | _data/Recipes.R | #----------------------------------------------------------------------------------------------------------
# lobster roll
ingredients = list(
Other = c("japanese mayo", "salt", "pepper", "margarine", "hotdog buns"),
Meat = c("lobster tail"),
Veggies = c("green onions", "lettuce"),
Fruit = ""
)
instructions = d... | 34,479 | mit |
fedb29ab530511b9c118c60c35221f58a81d8346 | gdietz/OpenMEE | R/openmeer/tests/testthat/test_histogram.R | library(openmeer)
context("Histogram")
data <- c(94, 98, 98, 94, 98, 96)
params <- list(GRADIENT=FALSE, xlab="tx A mean", color="#000000", fill="#FFFFFF")
plot.type = "HISTOGRAM"
if (!dir.exists("r_tmp")) {
dir.create("r_tmp")
}
test_that("Histogram is generated", {
results <- exploratory.plotter(data, params, ... | 464 | gpl-3.0 |
8878b9511e8cd369959979e8374b4134e3460651 | inventionate/TimeSpaceAnalysis | R/gda-describe-axis.R | #' Calculate axis contributions.
#'
#' @param res_gda MCA result.
#' @param axis which axis to calculate.
#' @param contrib "auto" calculates the optimal modalities to show (based on the basic criterion). Otherwise define an amount of modalities to plot.
#'
#' @return list containing axis contribution results.
#' @expo... | 1,961 | gpl-3.0 |
dda8588dc44b2fd5cd07d8de2fae8f3c761f7ddb | pcarbo/varbvs | varbvs-R/R/varbvsmixupdate.R | # Part of the varbvs package, https://github.com/pcarbo/varbvs
#
# Copyright (C) 2012-2018, Peter Carbonetto
#
# This program is free software: you can redistribute it under the
# terms of the GNU General Public License; either version 3 of the
# License, or (at your option) any later version.
#
# This program is distr... | 2,885 | gpl-3.0 |
f2d10dbbb1d09879563e96df01c45dc1753416cb | jcolomb/HCS_analysis | archives_notpeerreviewed/testscode/svm_vs_logregr/svm_vs_log_rosenmunddata.R | #this script will compare the resluts of the SVM and the L1-logistic regresssion, using the 2out strategy of the Steele 2007 paper, on rosenmund data (wt tested twice)
tune.svm3 <- function(trainset,groupingvar){
#objS <- tune.svm(groupingvar~., data = trainset, gamma = 4^(-5:5), cost = 4^(-5:5),
# ... | 9,632 | mit |
3b79adfebbfcb7371d3162699d5a7f540d2b0651 | burrm/lolcat | R/unitconversion.square.meter.to.hectare.R | #' Unit Conversion - Area - Square Meter to Hectare
#'
#' Performs a conversion of areas from square meters to hectares.
#'
#' @param x Vector - Values in units of square meters
#'
#' @return x, but converted to hectares
#'
#' @references
#' NIST. Handbook 133 - Checking the Net Contents of Packaged Goods - Append... | 662 | mit |
1f89c991fb0ccedf59ce6420826a8e7a3b6da8f3 | datascience-uwmadison/R_for_data_sciences | visualize/shiny/server.R | function(input, output) {
output$main_plot <- renderPlot({
hist(faithful$eruptions,
probability = TRUE,
breaks = as.numeric(input$n_breaks),
xlab = "Duration (minutes)",
main = "Geyser eruption duration")
if (input$individual_obs) {
rug(faithful$eruptions... | 499 | gpl-3.0 |
43b69ac9f4c968c385095ca27ea8a888826ec527 | LaboratoireMaranger/LaboScript | RDA/RDA.R | ####################################################################
# Author:
# Nicolas Fortin St-Gelais, nicolas.fstgelais@gmail.com
# Description:
# RDA with variable selection (AIC),
# Lakes are colored by group
#
#modif for test
####################################################################
# clean the m... | 2,241 | mit |
ae00208821353f81e3b578badaed394702bd7288 | Ibasam/IBASAM | IBASAM/R/summarize.summer.population.R | summarize.summer.population <-
function (population, variables)
{
grilses <- (population$Returns == 1 & population$AgeSea <
2)
MSW <- (population$Returns >= 1 & population$AgeSea >= 2)
Parrs0 <- (population$AgeSea == 0 & population$AgeRiver <
1)
Parrs1 <- (population$AgeSea ==... | 764 | gpl-3.0 |
6a60686abaaf0051fe9267469f8da2b661c2181d | 7c00/SparkR-pkg | pkg/inst/tests/test_binary_function.R | context("binary functions")
# JavaSparkContext handle
sc <- sparkR.init()
# Data
nums <- 1:10
rdd <- parallelize(sc, nums, 2L)
# File content
mockFile <- c("Spark is pretty.", "Spark is awesome.")
test_that("union on two RDDs", {
actual <- collect(unionRDD(rdd, rdd))
expect_equal(actual, as.list(rep(nums, 2)))
... | 1,386 | apache-2.0 |
6a60686abaaf0051fe9267469f8da2b661c2181d | EDMunplugged/SparkR-pkg | pkg/inst/tests/test_binary_function.R | context("binary functions")
# JavaSparkContext handle
sc <- sparkR.init()
# Data
nums <- 1:10
rdd <- parallelize(sc, nums, 2L)
# File content
mockFile <- c("Spark is pretty.", "Spark is awesome.")
test_that("union on two RDDs", {
actual <- collect(unionRDD(rdd, rdd))
expect_equal(actual, as.list(rep(nums, 2)))
... | 1,386 | apache-2.0 |
03080c3b3ec43634384aaa3289d977a4c56e9998 | bedatadriven/renjin | packages/stats/tests/test.stats.fft.a62fdf06b9392bbea588294d28750446.R | library(hamcrest)
expected <- c(-0x1.53f5c451fe60ap-1 + 0x1.95783880b4578p-1i, -0x1.49b84d1fa249p-1 + 0x1.9d8e13049d7a4p-1i,
-0x1.3eebb9383f4c2p-1 + 0x1.a51a1a600bad4p-1i, -0x1.33972a79dae7ep-1 + 0x1.ac145fe314b96p-1i,
-0x1.27c22e06839dcp-1 + 0x1.b27555a7a47fp-1i, -0x1.1b74b719b648p-1 + 0x1.b835d41afadep-1i,
-0x1.... | 27,554 | gpl-2.0 |
361d0142d5bf203a451cbafeba3e9dc5e1c80179 | ranghetti/fidolasen | R/s2_thumbnails.R | #' @title Produce an RGB image from a multiband raster file.
#' @description Internal function to create JPEG images from a multiband raster
#' file. This function is used by [s2_thumbnails], and it will be exported
#' when it would be more generalised.
#' @param in_rast Path of the input multiband raster.
#' @param ... | 20,845 | gpl-3.0 |
afa5d4d113a082bf439e73e732a0f0cd42507e5a | bedatadriven/renjin | packages/stats/tests/test.stats.spline.ce0eb85be6c0265fd86a194f4caa60a6.R | library(hamcrest)
expected <- structure(list(x = c(-2.21112724108533, -2.17092492761105, -2.13072261413677,
-2.09052030066249, -2.05031798718822, -2.01011567371394, -1.96991336023966,
-1.92971104676538, -1.8895087332911, -1.84930641981682, -1.80910410634254,
-1.76890179286826, -1.72869947939399, -1.68849716591971,... | 6,087 | gpl-2.0 |
03080c3b3ec43634384aaa3289d977a4c56e9998 | jukiewiczm/renjin | packages/stats/src/test/R/test.stats.fft.a62fdf06b9392bbea588294d28750446.R | library(hamcrest)
expected <- c(-0x1.53f5c451fe60ap-1 + 0x1.95783880b4578p-1i, -0x1.49b84d1fa249p-1 + 0x1.9d8e13049d7a4p-1i,
-0x1.3eebb9383f4c2p-1 + 0x1.a51a1a600bad4p-1i, -0x1.33972a79dae7ep-1 + 0x1.ac145fe314b96p-1i,
-0x1.27c22e06839dcp-1 + 0x1.b27555a7a47fp-1i, -0x1.1b74b719b648p-1 + 0x1.b835d41afadep-1i,
-0x1.... | 27,554 | gpl-3.0 |
afa5d4d113a082bf439e73e732a0f0cd42507e5a | jukiewiczm/renjin | packages/stats/src/test/R/test.stats.spline.ce0eb85be6c0265fd86a194f4caa60a6.R | library(hamcrest)
expected <- structure(list(x = c(-2.21112724108533, -2.17092492761105, -2.13072261413677,
-2.09052030066249, -2.05031798718822, -2.01011567371394, -1.96991336023966,
-1.92971104676538, -1.8895087332911, -1.84930641981682, -1.80910410634254,
-1.76890179286826, -1.72869947939399, -1.68849716591971,... | 6,087 | gpl-3.0 |
946dfaa2f3217803df3817536d2e12d2a7cd45f1 | joh024/WeBIPP | Release/RawData/language-speakers.R | # Source: The Cambridge Factfinder, Cambridge University Press, 1993
mother.tongue =
structure(
c(1000, 350, 250, 200, 150, 150, 150, 135, 120,
100, 70, 70, 65, 65, 60, 60, 55, 55, 50, 50),
names =
c("Chinese", "English", "Spanish", "Hindi", "Arabic",
"Bengali", "Russia", "Portuguese", "Japanese", "Ge... | 448 | gpl-3.0 |
f8c550dfb24ba9f829c71cef21024f1de6e642f8 | LiveOak/LylesCoalbedMethane2 | Manipulate/GroomLong.R | # knitr::stitch_rmd(script="./Manipulate/GroomLong.R", output="./Manipulate/StitchedOutput/GroomLong.md")
rm(list=ls(all=TRUE)) #Clear the variables from previous runs.
############################
#+ LoadSources
############################
#+ LoadPackages
library(knitr)
library(plyr)
# library(dplyr)
# library(resh... | 2,044 | gpl-2.0 |
5334d021414157bc5a12a5f04225ea22700b0acc | SchlossLab/Sze_FollowUps_Microbiome_2017 | code/srn/srn_run_35_RF.R | ### Build the best lesion model possible
### Try XG-Boost, RF, Logit (GLM), C5.0, SVM
### Find the best based on Jenna Wiens suggestions on test and training
## Marc Sze
#Load needed libraries
source('code/functions.R')
loadLibs(c("dplyr", "caret","scales", "doMC"))
load("exploratory/srn_RF_model_setup.RDa... | 1,758 | mit |
be36cbbf2cf7c90a1da574306357ae3a7ec070fc | KarasiewiczStephane/WitOMI | R/plot_dym_sp.R | #' @title Species subniches dynamic
#' @aliases plot_dym_sp
#' @description The function represents the species' subniches SR within its realized niche NR.
#' @param subnic an object of class \code{subniche}.
#' @param sp a character string of the species name.
#' @param main a main title for the plot, see \link[graph... | 7,307 | mit |
5fb82a2e557569738c7cfdb15934eb2ac1b4000d | frichote/replop | CL_code/code/test/sNMF/test_error_nmf/generator.R | # generate print_error_nmf
| 28 | gpl-3.0 |
dce7a4e82dbf4913efe4f226b3c953d8a1ff6596 | lorenzwalthert/strcode | placeholder_code/example3.R |
### .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
### this is supposed to only have level 3 separators
print("hi")
### .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
| 229 | mit |
a9dbc8e4da1c54936dbf4f11004ae04f479b2576 | mattwatts/ParameterTestingTas | global.R | # Author: Matt Watts
# Date: 10 Dec 2014
# Purpose: ParameterTestingTas web app global.R
library(shiny)
library(PBSmapping)
library(maptools)
library(sp)
sMarxanDir <- getwd()
# find how many runs from input.dat
inputdat <- readLines(paste(sMarxanDir,"/input.dat",sep=""))
iParam <- which(regexpr("NUMREPS",inputdat)=... | 453 | agpl-3.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | Mouseomics/R | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | minux/R | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | kmillar/rho | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | aviralg/R-dyntrace | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | mathematicalcoffee/r-source | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | allr/timeR | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | andy-thomason/r-source | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | RevolutionAnalytics/RRO | R-src/src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | SurajGupta/r-source | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | cxxr-devel/cxxr | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | ArunChauhan/cxxr | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | nathan-russell/r-source | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
246c3c9ea2b4b788303cac16e296989c2e253afb | zmon/food-inspections-evaluation | CODE/15_sanitation_download.R | if(interactive()){
##==========================================================================
## INITIALIZE
##==========================================================================
## Remove all objects; perform garbage collection
rm(list=ls())
gc(reset=TRUE)
## Detach any non-standard... | 1,376 | mit |
90f2f83305c25879f0396b4fa0636792d1bf81bf | krlmlr/cxxr | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
3457f02d8ceb7afe7c145bc15b0a253685875474 | jeremyrcoyle/sl3 | R/Lrnr_gbm.R | #' GBM: Generalized Boosted Regression Models
#'
#' This learner provides fitting procedures for generalized boosted regression
#' trees, using the routines from \pkg{gbm}, through a call to the function
#' \code{\link[gbm]{gbm.fit}}. Though a variety of gradient boosting strategies
#' have seen popularity in machine l... | 4,108 | gpl-3.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | rho-devel/rho | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
246c3c9ea2b4b788303cac16e296989c2e253afb | MountMcKinney/food-inspections-evaluation | CODE/15_sanitation_download.R | if(interactive()){
##==========================================================================
## INITIALIZE
##==========================================================================
## Remove all objects; perform garbage collection
rm(list=ls())
gc(reset=TRUE)
## Detach any non-standard... | 1,376 | mit |
90f2f83305c25879f0396b4fa0636792d1bf81bf | WelkinGuan/r-source | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
3457f02d8ceb7afe7c145bc15b0a253685875474 | tlverse/sl3 | R/Lrnr_gbm.R | #' GBM: Generalized Boosted Regression Models
#'
#' This learner provides fitting procedures for generalized boosted regression
#' trees, using the routines from \pkg{gbm}, through a call to the function
#' \code{\link[gbm]{gbm.fit}}. Though a variety of gradient boosting strategies
#' have seen popularity in machine l... | 4,108 | gpl-3.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | MouseGenomics/R | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | kmillar/cxxr | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
4533f8da7570c73e2c997d3a536e272a821943f4 | letiR/letiRmisc | tests/testthat/test-stopwatch.R | context("Stopwatch & Timer")
test_that("messages", {
expect_message(stopwatch(.1))
expect_message(timer(.1))
}) | 116 | gpl-3.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | SensePlatform/R | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | bedatadriven/renjin | packages/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | jimhester/r-source | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | krlmlr/r-source | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | LeifAndersen/R | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
90f2f83305c25879f0396b4fa0636792d1bf81bf | abiyug/r-source | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
246c3c9ea2b4b788303cac16e296989c2e253afb | mleeds95/food-inspections-evaluation | CODE/15_sanitation_download.R | if(interactive()){
##==========================================================================
## INITIALIZE
##==========================================================================
## Remove all objects; perform garbage collection
rm(list=ls())
gc(reset=TRUE)
## Detach any non-standard... | 1,376 | mit |
90f2f83305c25879f0396b4fa0636792d1bf81bf | allr/r-instrumented | src/library/grDevices/R/utils.R | # File src/library/grDevices/R/utils.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2012 The R Core Team
#
# 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; eith... | 1,397 | gpl-2.0 |
246c3c9ea2b4b788303cac16e296989c2e253afb | ayacha/food-inspections-evaluation | CODE/15_sanitation_download.R | if(interactive()){
##==========================================================================
## INITIALIZE
##==========================================================================
## Remove all objects; perform garbage collection
rm(list=ls())
gc(reset=TRUE)
## Detach any non-standard... | 1,376 | mit |
129e6d9d02c6cc12b8bad242ebc6dac7a4143347 | hanhanwu/Hanhan_Data_Science_Practice | deal_with_continuos_variables.R | # Deal with continuous variables
data <- data.frame(state.x77)
str(data)
library(ggplot2)
#plot Frost variable and check the data points are all over
qplot(y = Frost, data = data, colour = 'red')
# method 1 - create bins and add labels
bins <- cut(data$Frost, 3, include.lowest = TRUE)
bins
bins <- cut(data$Frost, 3,... | 2,849 | mit |
26ccf2ab45f0d72a6e41fdb31b401268b7ed8cc3 | oliverychen/oliverychen.github.io | files/doc/server.R | library(shiny)
shinyServer(function(input, output) {
# Reactive expression to generate the requested distribution. This is
# called whenever the inputs change. The renderers defined
# below then all use the value computed from this expression
# data <- reactive({
# f <- switch(input$... | 7,181 | mit |
10577aa083d4dbccde03e628a380638d3d8302d0 | alokrk/csc510groupk | R/extraction.R | #Extracting data for Stack Overflow
setwd("/media/alok/New Volume/sodata")
require("XML")
#TAGS
tags = xmlParse("Tags.xml")
tags = xmlToList(tags)
lenTags = length(tags)
#df = data.frame(matrix(unlist(tags)), nrow = len)
tags = data.frame(Reduce(rbind, tags))
#POST LINKS
postLinks = xmlParse("PostLinks.xml")
postLin... | 1,114 | gpl-2.0 |
26ccf2ab45f0d72a6e41fdb31b401268b7ed8cc3 | oliverychen/oliverychen.github.io | _site/files/doc/server.R | library(shiny)
shinyServer(function(input, output) {
# Reactive expression to generate the requested distribution. This is
# called whenever the inputs change. The renderers defined
# below then all use the value computed from this expression
# data <- reactive({
# f <- switch(input$... | 7,181 | mit |
d89d273afaefed40822c445711f75d237cc3956b | andrewdefries/andrewdefries.github.io | FDA_Pesticide_Glossary/halfenprox.R | library("knitr")
library("rgl")
#knit("halfenprox.Rmd")
#markdownToHTML('halfenprox.md', 'halfenprox.html', options=c("use_xhml"))
#system("pandoc -s halfenprox.html -o halfenprox.pdf")
knit2html('halfenprox.Rmd')
| 216 | mit |
7fb02706fd530c77af24a9dbb1ed121f5f4edb97 | rforge/mirt | R/01-itemtypes.R | #Classes
setClass("GroupPars",
representation(par='numeric',
SEpar='numeric',
est='logical',
parnum='numeric',
nfact='integer',
gradient='numeric',
hessian='matrix',
... | 4,342 | gpl-2.0 |
09320f21469cf9996a493c9ea5af7eb2b29766f5 | ernestguevarra/shiny-server | myanmarMCCTchecks/server.R | ################################################################################
#
# Server logic for web application
#
################################################################################
#
# Define server logic for application
#
server <- function(input, output, session) {
## Keep alive
output$keepAli... | 15,863 | mit |
4b243d7a34be2eca8f258476757f42e6c5f42468 | wclark3/machine-learning | final-project/code/plots.R | rm(list=ls())
source("../../utils/source_me.R", chdir = T)
CreateDefaultPlotOpts(WriteToFile = T)
Global.PlotOpts$Prefix <- "../writeup/"
require(doSNOW)
require(snowfall)
require(parallel)
if (!sfIsRunning()) {
sfInit(cpus=detectCores(), parallel = T)
registerDoSNOW(sfGetCluster())
}
# We seem to use this colo... | 6,988 | mit |
8e0207ce2ec0a06cdf228602b2d697d83fbb5c29 | dankelley/oce-issues | 05xx/563/06ctd.R | require(oce)
make_ctd <- function(start, end) {
start <- 20
end <- 30
p <- seq(0, 100, 1)
S <- 35 + p / 100
T <- 20 - p / 100
d <- as.ctd(S, T, p)
d <- subset(d, start <= pressure & pressure <= end)
}
focus <- c(1, 100)
d <- make_ctd(focus[1], focus[2])
stopifnot(all.equal.numeric(d[["pressu... | 336 | gpl-2.0 |
4320cb1477856eea3d4da334ed81d4f3d66ab872 | wStockhausen/rTCSAM2015 | R/plotFitsGG.MeanSizeComps.R | #'
#' @title Plot mean size comps fits
#'
#' @description Function to plot mean size comps fits using ggplot2.
#'
#' @param fits - list of fits
#' @param mc - model configuration list
#' @param sxs - character vector of sexes to plot
#' @param mss - character vector of maturity states to plot
#' @param scs - characte... | 3,931 | mit |
953c79e73ddaa764741dd16e681cdeddb2ee887b | richelbilderbeek/R | old_notes/FileIo/save_text_test.R | # Test the save_text function
source("~/GitHubs/R/FileIo/save_text.R")
save_text_test <- function() {
filename <- "tmp.txt"
text <- c("Hello","world")
save_text(
filename = filename,
text = text
)
assert(file.exists(filename))
file.show(filename)
# Remove temporary file
has_removed <- file.r... | 388 | gpl-3.0 |
82d4dcbfc596d9655fff916434ee62aca18dddb4 | vinaywv/mlr | R/downsample.R | #' @title Downsample (subsample) a task or a data.frame.
#'
#' @description
#' Decrease the observations in a \code{task} or a \code{ResampleInstance}
#' to a given percentage of observations.
#'
#' @param obj [\code{\link{Task}} | \code{\link{ResampleInstance}}]\cr
#' Input data or a \code{ResampleInstance}.
#' @par... | 1,416 | bsd-2-clause |
82d4dcbfc596d9655fff916434ee62aca18dddb4 | tijoseymathew/mlr | R/downsample.R | #' @title Downsample (subsample) a task or a data.frame.
#'
#' @description
#' Decrease the observations in a \code{task} or a \code{ResampleInstance}
#' to a given percentage of observations.
#'
#' @param obj [\code{\link{Task}} | \code{\link{ResampleInstance}}]\cr
#' Input data or a \code{ResampleInstance}.
#' @par... | 1,416 | bsd-2-clause |
00d6a71680167fd59354291e2a8b0c215fd5d4bf | oganm/brainCellTypeSpecificGenes | analysis/06.Blood validation/bloodFig3.R | library(ogbox)
source('R/puristOut.R')
source('R/estimate.R')
source('R/superImpose.R')
library(ggplot2)
library(gtable)
library(grid)
library(dplyr)
library(grDevices)
library(magrittr)
realCounts = read.table('data//bloodCellType//PBMCcounts.tsv',sep='\t',header=T,row.names=1)
theirPred = read.table('data/bloodCellT... | 6,178 | gpl-2.0 |
6d58f3ab29e603d1f92f89d3e3a5770420743e4d | zero323/r-snippets | R/read_and_reencode.R | #' Read file in a binary mode and re-encode
#' Adapted from Marek Gagolewski, Advanced Data Analysis Software Development with R
#'
#' @param fname path to the input file
#' @param from input encoding
#' @param to output encoding
#' @param newlines character, regular expression
#' @return character
#'
read_and_reencode... | 591 | mit |
402781d4ead17aedf8afeacc2041f7e26f3f8710 | algoquant/rutils | demo/demo_r_utils.R | ################################################
###
### Demos for using package 'rutils'
###
################################################
# Set the time-zone to New_York
Sys.setenv(TZ="America/New_York")
# setwd("C:/Develop/data")
# search() # get search path
options(digits.secs=6)
options(digits=7)
... | 4,387 | mpl-2.0 |
9216a2f82f99a6a80ce661c9129cb9f93c1f0a74 | Razonar/DDP_ShinyApplication | app.R | #
# Shiny APP server and ui
# Alvaro.
library(shiny); library(ggplot2); library(grid);
# Define UI for application that draws a histogram
ui <- fluidPage(
titlePanel("Examining some few distributions"),
# Sidebar with controls
sidebarLayout(
sidebarPanel(
radioButtons("dist", "Distr... | 2,409 | gpl-2.0 |
9a7899bacd54d1a2c54b127fcf090bc6a32f128f | osofr/sl3 | R/Lrnr_expSmooth.R | #' Exponential Smoothing
#'
#' This learner supports exponential smoothing models using the \code{forecast} package.
#' Fitting is done with the \code{\link[forecast]{ets}} function.
#' @docType class
#' @importFrom R6 R6Class
#' @export
#' @keywords data
#' @return Learner object with methods for training and predict... | 5,755 | gpl-3.0 |
a997ea405e314233a24d2393e1f83e66a24dd7c0 | gtesei/fast-furious | competitions/caterpillar-tube-pricing/Predict_2_Cluster.R | library(binhf)
library(fBasics)
library(lattice)
require(xgboost)
require(methods)
library(data.table)
library(plyr)
getBasePath = function (type = "data") {
ret = ""
base.path1 = ""
base.path2 = ""
if(type == "data") {
base.path1 = "C:/docs/ff/gitHub/fast-furious/dataset/caterpillar-tube-pricing/compet... | 10,378 | mit |
033bd93f8df3f26ef6fc7c0c4f1bbc52e8eabf5b | wacax/Driver-Telematics-Analysis | lofAnomalyDetection.R | lofAnomalyDetection <- function(fullDataMatrix, cleanDataMatrix, kUser = 8, exclude_bad_data = TRUE){
require("DMwR")
if (exclude_bad_data == TRUE){
goodDataIdx <- which(fullDataMatrix[, ncol(fullDataMatrix)] == 0)
resultsLOF <- signif(-(lofactor(cleanDataMatrix[, -ncol(cleanDataMatrix)], k=kUser)) + 12,... | 923 | gpl-2.0 |
155152d1e3716053796dc4f5c495669c3673403d | vinaywv/mlr | tests/testthat/test_regr_bgp.R | context("regr_bgp")
test_that("regr_bgp", {
requirePackagesOrSkip("tgp", default.method = "load")
parset.list = list(
list(),
list(meanfn = "linear", bprior = "bflat", corr = "expsep")
)
inds = 1:50
y = regr.num.df[inds, regr.num.target]
old.predicts.list = list()
for (i in seq_along(parset.list... | 764 | bsd-2-clause |
155152d1e3716053796dc4f5c495669c3673403d | tijoseymathew/mlr | tests/testthat/test_regr_bgp.R | context("regr_bgp")
test_that("regr_bgp", {
requirePackagesOrSkip("tgp", default.method = "load")
parset.list = list(
list(),
list(meanfn = "linear", bprior = "bflat", corr = "expsep")
)
inds = 1:50
y = regr.num.df[inds, regr.num.target]
old.predicts.list = list()
for (i in seq_along(parset.list... | 764 | bsd-2-clause |
c8739f43c6570a85c26458453a281eb713aa196d | paul-lukacs/KIMU | helpers/archive/manip.yoy.S.deer.R | # Manipulate separate survival capture and mortality files to create a
# single row for each animal.
manip.yoy.S.deer <- function(cap, mort){
# miss.fun takes a vector of "any" class and fills in missing values
# with NA. The second argument rand, when true, will sample ... | 7,322 | gpl-2.0 |
c8739f43c6570a85c26458453a281eb713aa196d | paul-lukacs/SageGrouse | helpers/archive/manip.yoy.S.deer.R | # Manipulate separate survival capture and mortality files to create a
# single row for each animal.
manip.yoy.S.deer <- function(cap, mort){
# miss.fun takes a vector of "any" class and fills in missing values
# with NA. The second argument rand, when true, will sample ... | 7,322 | gpl-2.0 |
b39e26050f126f9911d536e55f8cdcab338bbf79 | ywchan2005/rprog-002 | quiz1/q14.R | data <- read.csv( 'hw1_data.csv', header=TRUE );
r <- nrow( data )
data <- read.csv( 'hw1_data.csv', header=TRUE, skip=r-2 );
print( data )
| 140 | gpl-2.0 |
dda36468b5bf068535fafe3d84489c310098f2d0 | rsachse/luess | R/resample_value.R | #' Resampling by calculating the means of covered cell centers
#'
#' The function reads a spatialPointsDataFrame of high resolution
#' and a regular coarser grid. It than resamples by calculating the
#' means of all covered cell centers within the grid cell of the
#' coarser grid. The function will read only the firs... | 1,586 | gpl-2.0 |
4f6be911d3f7fdb5171344bcb85f409ba6b1c714 | hilldr/Munera2017 | src/expression_analysis.R |
# R package dependencies -------------------------------------------------------
# Comment this line out if your machine already has these packages installed
#install.packages(c("matrixStats","ggplot2","MASS","scales"),repos='https://watson.nci.nih.gov/cran_mirror/')
## FPKM matrix input -----------------------------... | 6,865 | gpl-3.0 |
d9a2cace4f68efac9722108fe8021ffe75db612a | alecristia/dalohumacosp | compAna/2_compareCoding_R_2.0_.R | ###################################
#This code was made by Alex Cristia (main algorithmes) and Ben Touati (somes algorithmes and cleaning), Laboratoire des sciences cognitives et psycholinguistiques
#Département de sceicnes cognitives, ENS, CNRS
# It compares vad made by two different coders on a list of record
#It ... | 7,156 | gpl-3.0 |
d75908663bc3223a35ab1e6f4df089e92e51e027 | tmeeha/setset | R/noiseval.R | #######################################################
#################### noiseval() #######################
#######################################################
#' Add white noise with random spikes to a time series
#'
#' This function allows you to inject windows of white noise into a time series. This is mean... | 3,162 | bsd-3-clause |
018aa5f6810d9e74beecce8dbed4160615526085 | WHOequity/HEAT-1.0 | HEAT/utils/inequal_functions/bgv.R | # © Copyright World Health Organization (WHO) 2016.
# This file is part of the Health Equity Assessment Toolkit (HEAT).
# HEAT is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License Version 2 as published by
# the Free Software Foundation.
#
# HEAT is distributed... | 3,968 | gpl-2.0 |
a1db85e7f95134fe29e6e2ceaaedc2e5944b53b9 | shailesh1729/r-snippets | code/shailesh/R/qr.R | mgs <- function(X){
# Ensure that X is a matrix
X <- as.matrix(X)
# Number of rows
m <- nrow(X)
# Number of columns
n <- ncol(X)
if (m < n) {
stop('Wide matrices are not supported.')
}
# Construct the empty Q and R matrices
Q <- matrix(0, m, n)
R <- matrix(0, n, n)
for (j in 1:n){
# Pic... | 1,462 | apache-2.0 |
edd5540e0d5c1ab7efa801fdf395f0f61c821ae8 | thegricean/partitivesome | corpus/rscripts/processAll2.R | theme_set(theme_bw(18))
setwd("/Users/titlis/cogsci/projects/partitivesome/corpus/")
source("rscripts/helpers.r")
d = read.table("data/all/swbdext_correctedprobs.txt",sep="\t",header=T,quote="")
# delete all the Head prob columns that are outdated
d$JFQ_Head = NULL
d$CndP_Head = NULL
d$Information_Head_3gram = NULL
d$... | 4,018 | gpl-2.0 |
db06f40bf97904debca6ce9a9b451834828e437d | pyrdr/charlas | periodicos-dominicanos/codigos extraccion datos/nacional_web_parsel.R | library(xml2)
library(dplyr)
library(rvest)
# reading the data
na_fb_url <- "https://raw.githubusercontent.com/Pedromoisescamacho/periodicos-dominicanos/master/datasets_noticias/fb_nacional.csv"
na_df <- read.csv(na_fb_url, stringsAsFactors = F)
na_url <- na_df$url
noticia <- read_html("http://ow.ly/oaKb30fLgDJ")
conte... | 2,251 | mit |
e78fab2707696d7712e696d454a0616274f855d1 | USGS-R/mda.streams | R/download_metab_run.R | #' Download metabolism run data data to local file destination
#'
#' Download files stored in a metabolism run SB item to a user-specified (or
#' temp file) location. A new folder will be created within that location to
#' store the downloaded files. The default is to download all available files,
#' but specific fi... | 2,160 | cc0-1.0 |
24efd1031416b85c169a80191f700984a9d05f76 | snurk/meta-strains | scripts/calculate_BIC.R | library('matrixStats', lib.loc="~/R/libs")
library('Clomial', lib.loc="~/R/libs")
args <- commandArgs(trailingOnly=TRUE)
R <- read.table(args[1])
X <- read.table(args[2])
meta.log.likelihood <- function(Dc, Dt, Mu, P) {
log.likelihood <- 0
for (i in 1:nrow(Mu)) {
p <- (Mu[i, ]) %*% P
p[p > 1] <- 1
l... | 1,581 | mit |
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