commit stringlengths 40 40 | subject stringlengths 4 1.73k | repos stringlengths 5 127k | old_file stringlengths 2 751 | new_file stringlengths 2 751 | new_contents stringlengths 1 8.98k | old_contents stringlengths 0 6.59k | license stringclasses 13
values | lang stringclasses 23
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|---|---|---|---|---|---|---|---|---|
49c18fae0121facbe06d5ffa97f01c513d6b9537 | Bump version | Pointillistic/rebol-lang,Pointillistic/rebol-lang,Pointillistic/rebol-lang,zsx/r3,zsx/r3,zsx/r3,Pointillistic/rebol-lang,zsx/r3 | src/boot/version.r | src/boot/version.r | 3.0.0.3.1
| 2.101.0.3.1
| apache-2.0 | R |
875687a048710bd353b4b19fe973e8b62eb2742a | Improve `printenv` output | klmr/modules,klmr/modules | printenv.r | printenv.r | printenv = function (env = parent.frame()) {
frame = 1
while (! identical(env, baseenv())) {
name = environmentName(env)
name_display = sprintf('<environment: %s>', name)
default_display = capture.output(env)[1]
cat(default_display)
if (name_display != default_display) {... | printenv = function (env = parent.frame()) {
while (! identical(env, baseenv())) {
name = environmentName(env)
name_display = sprintf('<environment: %s>', name)
default_display = capture.output(env)[1]
cat(default_display)
if (name_display != default_display)
cat... | apache-2.0 | R |
bf9311ba647cb5613dc0d5ba35c11ce7c23294e1 | remove unecessary print | realityenhanced/AudioEventDetector | AudioEventDetector.r | AudioEventDetector.r | require(audio);
# Logistic Regression for binary classification of Audio data
# Positive Inputs are under the positive folder and Negative Inputs under the negative folder
# Audio files need to be uncompressed wav files.
# Sample rate of the training wav files could be anything and will be re-sampled to 16Khz, here.
#... | require(audio);
# Logistic Regression for binary classification of Audio data
# Positive Inputs are under the positive folder and Negative Inputs under the negative folder
# Audio files need to be uncompressed wav files.
# Sample rate of the training wav files could be anything and will be re-sampled to 16Khz, here.
#... | agpl-3.0 | R |
9e7fb6f95ccb329ff97a61cc49639a4491536161 | Simplify the database name for inclusion in report | PSC-CoTC/PSC-FRAM-Admin,PSC-CoTC/PSC-FRAM-Admin | config/2015_report_config.r | config/2015_report_config.r |
run.year <- 2015
post.season.fram.db <- "./fram db/Final pre and post databases/FramVS2-PSC-Coho-PostSeason.mdb"
post.season.run.name <- "bc-bkCoho2015 Final"
post.season.tamm <- "./fram db/coho BK 2015 Final Feb 15th.xlsm"
pre.season.fram.db <- "./fram db/Final pre and post databases/FramVS2-PSC-Coho-PreSeason.mdb"... |
run.year <- 2015
post.season.fram.db <- "./fram db/FramVS2-PSC-Coho-Backwards-for 2013 and 2014.mdb"
post.season.run.name <- "bc-bkCoho2015 Final"
post.season.tamm <- "./fram db/coho BK 2015 Final Feb 15th.xlsm"
pre.season.fram.db <- "./fram db/CohoFRAMVB2015Pre&PostNew.mdb"
pre.season.run.name <- "bc-Coho1523 Final... | mit | R |
b96138dcfac0a28a1a55d008da7adad7b2e7133f | add tigris try 2 | berkeley-dsep-infra/datahub,ryanlovett/datahub,berkeley-dsep-infra/datahub,ryanlovett/datahub,berkeley-dsep-infra/datahub,ryanlovett/datahub | deployments/r/image/extras.d/ph-142.r | deployments/r/image/extras.d/ph-142.r | #!/usr/bin/env Rscript
# From https://github.com/berkeley-dsep-infra/datahub/issues/881
print("Installing packages for PH142")
print("Installing fGarch...")
devtools::install_github('cran/fGarch', ref='3042.83.1', upgrade_dependencies=FALSE, quiet=TRUE)
print("Installing SASxport...")
devtools::install_github('cran/S... | #!/usr/bin/env Rscript
# From https://github.com/berkeley-dsep-infra/datahub/issues/881
print("Installing packages for PH142")
print("Installing fGarch...")
devtools::install_github('cran/fGarch', ref='3042.83.1', upgrade_dependencies=FALSE, quiet=TRUE)
print("Installing SASxport...")
devtools::install_github('cran/S... | bsd-3-clause | R |
13ce69b538fcc551c4c66134bab163e777a9f4f6 | Add SlurmContainer add_source & add_input methods | jmousseau/Stain | R/slurm-container.r | R/slurm-container.r | #' SlurmContainer R6 object.
#'
#' A slurm container is simply a directory with a specific
#' structure, particulary it has a submit.slurm script at the
#' top level.
SlurmContainer <- R6::R6Class("SlurmContainer",
public = list(
dir = NULL,
initialize = function(dir = ".") {
name <- pas... | #' SlurmContainer R6 object.
#'
#' A slurm container is simply a directory with a specific
#' structure, particulary it has a submit.slurm script at the
#' top level.
SlurmContainer <- R6::R6Class("SlurmContainer",
public = list(
dir = NULL,
initialize = function(dir = ".") {
name <- pas... | mit | R |
53a4237d132645d5a32e1c899fb1c6b46adeca71 | Update ggplot2_formatter.r | fdryan/R,1R151-1/R | ggplot2_formatter.r | ggplot2_formatter.r | require(plyr)
require(scales)
# ---------------------------------------------------------------------------------------------
# Formatting functions for ggplot graph axis
# ---------------------------------------------------------------------------------------------
#' Human Numbers: Format numbers so they're legibl... |
require(scales)
# ---------------------------------------------------------------------------------------------
# Formatting functions for ggplot graph axis
# ---------------------------------------------------------------------------------------------
#' Human Numbers: Format numbers so they're legible for humans
... | unlicense | R |
3f27a58877aea4f693a05db5a4b96820c87c3e19 | fix up package dependencies | syberia/syberia | R/syberia-package.r | R/syberia-package.r | #' Syberia provides an opinionated unified framework for
#' fast iteration on classifier development and deployment. It is
#' founded on convention over configuration and aims to solve the
#' problems of classifier-specific data preparation and
#' classifier-specific modeling parameters.
#'
#' @name syberia
#' @docType... | #' Syberia provides an opinionated unified framework for
#' fast iteration on classifier development and deployment. It is
#' founded on convention over configuration and aims to solve the
#' problems of classifier-specific data preparation and
#' classifier-specific modeling parameters.
#'
#' @name syberia
#' @docType... | mit | R |
ffc7454d02c5639df9ba688fde1ac3da4f0cb565 | Make it possible to specify in and out filenames | erlio/vmq_mqttbench | plot.r | plot.r | #!/usr/bin/env Rscript
args = commandArgs(trailingOnly=TRUE)
packages.to.install <- c("grid", "ggplot2")
for (p in packages.to.install)
{
print(p)
if (suppressWarnings(!require(p, character.only = TRUE))) {
install.packages(p, repos = "http://lib.stat.cmu.edu/R/CRAN")
library(p, character.only... | #!/usr/bin/env Rscript
packages.to.install <- c("grid", "ggplot2")
for (p in packages.to.install)
{
print(p)
if (suppressWarnings(!require(p, character.only = TRUE))) {
install.packages(p, repos = "http://lib.stat.cmu.edu/R/CRAN")
library(p, character.only=TRUE)
}
}
png(file = "plot.png",... | apache-2.0 | R |
3e1938ca728826873f2edf509537f5fec9c12bc6 | Select industrial ralways and import places shapefile | GreatEmerald/geoscripting,GreatEmerald/geoscripting,GreatEmerald/geoscripting,GreatEmerald/geoscripting | Lesson6/main.r | Lesson6/main.r | # Team Rython, Dainius Masiliunas and Tim Weerman
# Date: 11 January, 2016
# Apache License 2.0
# Needed packages
library(rgdal)
# Download the data
download.file("http://www.mapcruzin.com/download-shapefile/netherlands-places-shape.zip", method="wget", destfile="data/places.zip")
download.file("http://www.mapcruzin.... | # Team Rython, Dainius Masiliunas and Tim Weerman
# Date: 11 January, 2016
# Apache License 2.0
# Needed packages
library(rgdal)
# Download the data
download.file("http://www.mapcruzin.com/download-shapefile/netherlands-places-shape.zip", method="wget", destfile="data/places.zip")
download.file("http://www.mapcruzin.... | apache-2.0 | R |
1fa4c689bad624e00f6792249da8ae98655ddccc | Update tglob_sphere.r | alfcrisci/rBiometeo,alfcrisci/rBiometeo | R/tglob_sphere.r | R/tglob_sphere.r | #' Tglob_sphere
#'
#' Calculate the globe temperature having sphere diameter. The author of procedure is James C. Liljegren Decision and Information Sciences Division Argonne National Laboratory.
#'
#'
#' @param numeric t Air temperature in Celsius degrees.
#' @param numeric rh Air Relative humidity in percentage.
#' ... | #' Tglob_sphere
#'
#' Calculate the globe temperature having sphere diameter. The author of procedure is James C. Liljegren Decision and Information Sciences Division Argonne National Laboratory.
#'
#'
#' @param numeric t Air temperature in Celsius degrees.
#' @param numeric rh Air Relative humidity in percentage.
#' ... | mit | R |
89ba458ac267a39d167313af8ed76cf78dab4990 | fix msg | tttor/csipb-jamu-prj,tttor/csipb-jamu-prj,tttor/csipb-jamu-prj,tttor/csipb-jamu-prj,tttor/csipb-jamu-prj,tttor/csipb-jamu-prj,tttor/csipb-jamu-prj,tttor/csipb-jamu-prj,tttor/csipb-jamu-prj | feature/extract_fp.r | feature/extract_fp.r | # extract_fp.r
main <- function() {
args = commandArgs(trailingOnly=TRUE)
if (length(args)!=3) {
message('USAGE:')
message('Rscript extract_fp.r [yamType] [from] [to]')
return()
}
library('Rcpi')
yamType <- args[1]
from <- as.numeric(args[2])
to <- as.numeric(args[3])
ydir <-... | # extract_fp.r
# mol = readMolFromSmi(smi, type = 'mol')[[1]]
# fp = extractDrugKRComplete(mol)
main <- function() {
args = commandArgs(trailingOnly=TRUE)
if (length(args)!=3) {
message('USAGE:')
message('Rscript extract_fp.r [yamType] [from] [to]')
return()
}
library('Rcpi')
yamType ... | mit | R |
14f28ac0d9d4a9bbcc0aaeb7c4355b82d30ed331 | Update steadman_class.r | alfcrisci/rBiometeo,alfcrisci/rBiometeo | R/steadman_class.r | R/steadman_class.r | #' steadman_class
#'
#' Computes the correspondent Steadman's apparent temperature class.
#'
#' @param numeric steadman_index Steadman index value.
#' @return class of apparent temperature.
#'
#'
#' @author Istituto di Biometeorologia Firenze Italy Alfonso Crisci \email{a.crisci@@ibimet.cnr.it}
#' @keywords class, ... | #' steadman_class
#'
#' Computes the correspondent Steadman's apparent temperature class.
#'
#' @param numeric steadman_index Steadman index value.
#' @return class of apparent temperature.
#'
#'
#' @author Istituto di Biometeorologia Firenze Italy Alfonso Crisci \email{a.crisci@@ibimet.cnr.it}
#' @keywords class, ... | mit | R |
24769e51f2fcd832d61266e1dd346b7bbf8375b9 | Add documentation to module "sys" | klmr/codons,klmr/codons | scripts/sys/__init__.r | scripts/sys/__init__.r | # Command line tools don’t want to clutter their output with unnecessary noise.
library = function (...)
suppressMessages(base::library(...))
#' The command line arguments
args = commandArgs(trailingOnly = TRUE)
#' Quit the program
#'
#' @param code numeric exit code (default: \code{0})
exit = function (code = 0)... | # Command line tools don’t want to clutter their output with unnecessary noise.
library = function (...)
suppressMessages(base::library(...))
#' The command line arguments
args = commandArgs(trailingOnly = TRUE)
#' Quit the program
#'
#' @param code numeric exit code (default: \code{0})
exit = function (code = 0)... | apache-2.0 | R |
c438918533799c2f9b5228a9da97080c9d963701 | update calcor.sh | isezen/sahra,isezen/sahra | code/calcor.r | code/calcor.r | # Saharan Dust Transport Research
# 2016-05-04 Ismail SEZEN
# sezenismail@gmail.com
source("code/correlation.r")
calcor <- function(files = stop("'file' must be specified")) {
pm <- read_pm10()
dir_out <- "data/cor"
dir.create(dir_out, showWarnings = F)
nof <- length(files)
i <- 1
for (f in files) {
f... | # Saharan Dust Transport Research
# 2016-05-04 Ismail SEZEN
# sezenismail@gmail.com
source("code/correlation.r")
calcor <- function(files = stop("'file' must be specified")) {
pm <- read_pm10()
dir_out <- "data/cor"
dir.create(dir_out, showWarnings = F)
nof <- length(files)
i <- 1
for (f in files) {
f... | mit | R |
ad33ceea4b050744b8e79de05ea53512b61e6e09 | comment out un-needed observer | AndySouth/coverage | inst/shiny/coverage1/server.r | inst/shiny/coverage1/server.r | #coverage/inst/shiny/coverage1/server.r
#andy south 12/5/16
#https://andysouth.shinyapps.io/coverage1/
library(shiny)
#library(devtools)
#install_github('AndySouth/coverage')
library(coverage)
library(png)
shinyServer(function(input, output, session) {
################################
output$plot_feed <- rende... | #coverage/inst/shiny/coverage1/server.r
#andy south 12/5/16
#https://andysouth.shinyapps.io/coverage1/
library(shiny)
#library(devtools)
#install_github('AndySouth/coverage')
library(coverage)
library(png)
shinyServer(function(input, output, session) {
################################
output$plot_feed <- rende... | mit | R |
83c7dba62ef659790436cdc5bbf48ba44d22b940 | Update Main.r | bgweber/RServer,bgweber/RServer,bgweber/RServer,bgweber/RServer | tasks/HelloWorld/Main.r | tasks/HelloWorld/Main.r | print("Hello World!")
| cat("Hello World!")
| bsd-3-clause | R |
40d75d1541fba868b94c8c378d7c27afc272a1ee | Use older version of kableExtra | berkeley-dsep-infra/datahub,ryanlovett/datahub,ryanlovett/datahub,berkeley-dsep-infra/datahub,ryanlovett/datahub,berkeley-dsep-infra/datahub | deployments/r/image/extras.d/ph-290.r | deployments/r/image/extras.d/ph-290.r | #!/usr/bin/env Rscript
# For https://github.com/berkeley-dsep-infra/datahub/issues/1921
print("Installing packages for PH 290W")
source("/tmp/class-libs.R")
class_name = "PH 290W"
class_libs = c(
"kableExtra", "1.1.0",
"plotly", "4.9.2.1",
"ggthemes", "4.2.0",
"formattable", "0.2.0.1"
)
class_libs_install_v... | #!/usr/bin/env Rscript
# For https://github.com/berkeley-dsep-infra/datahub/issues/1921
print("Installing packages for PH 290W")
source("/tmp/class-libs.R")
class_name = "PH 290W"
class_libs = c(
"plotly", "4.9.2.1",
"kableExtra", "1.3.1",
"ggthemes", "4.2.0",
"formattable", "0.2.0.1"
)
class_libs_install_v... | bsd-3-clause | R |
589d01141e3c36c61e7a1d6db84a09ee2eb1ebb8 | Update uvoz_tabele5.r | ZavbiA/APPR-2017 | uvoz/uvoz_tabele5.r | uvoz/uvoz_tabele5.r | library(rvest)
library(gsubfn)
library(readr)
library(dplyr)
library(tibble)
library(reshape2)
library(gsubfn)
library(tidyr)
tabela5.tidy <- read_csv("podatki/stroski.csv",
locale = locale(encoding = "UTF-8"))
names(tabela5.tidy) <- c("mesto","leto","drzava","tip","st_dogodkov","st... | library(rvest)
library(gsubfn)
library(readr)
library(dplyr)
library(tibble)
library(reshape2)
library(gsubfn)
library(tidyr)
tabela5.tidy <- read_csv("podatki/stroski.csv",
locale = locale(encoding = "UTF-8"))
names(tabela5.tidy) <- c("mesto","leto","drzava","tip","st_dogodkov","st... | mit | R |
5cb0ee1a00739be276c6e331c68cc4b20024c95f | Make CLOSURE a FUNCT for closures (#2002) | zsx/r3,zsx/r3,Pointillistic/rebol-lang,Pointillistic/rebol-lang,zsx/r3,Pointillistic/rebol-lang,zsx/r3,Pointillistic/rebol-lang | src/mezz/mezz-func.r | src/mezz/mezz-func.r | REBOL [
System: "REBOL [R3] Language Interpreter and Run-time Environment"
Title: "REBOL 3 Mezzanine: Function Helpers"
Rights: {
Copyright 2012 REBOL Technologies
REBOL is a trademark of REBOL Technologies
}
License: {
Licensed under the Apache License, Version 2.0
See: http://www.apache.org/licenses/LICE... | REBOL [
System: "REBOL [R3] Language Interpreter and Run-time Environment"
Title: "REBOL 3 Mezzanine: Function Helpers"
Rights: {
Copyright 2012 REBOL Technologies
REBOL is a trademark of REBOL Technologies
}
License: {
Licensed under the Apache License, Version 2.0
See: http://www.apache.org/licenses/LICE... | apache-2.0 | R |
7c1a0790ef3b7911e5c739989bab2fb208588d4f | Fix the dates again | IndyActuaries/epic-fhir,IndyActuaries/epic-fhir | r/load_data.r | r/load_data.r | #' ## Code Owners: Kyle Baird, Shea Parkes
#'
#' ### Objective:
#' * Load the data for analytics into native R data structures so it is easy to work with
#'
#' ### Developer Notes:
#' * <none>
require(ifultools)
path.dir.source <- '../data/'
#' ## LIBRARIES, LOCATIONS, LITERALS, ETC. GO ABOVE HERE
df.labs <- r... | #' ## Code Owners: Kyle Baird, Shea Parkes
#'
#' ### Objective:
#' * Load the data for analytics into native R data structures so it is easy to work with
#'
#' ### Developer Notes:
#' * <none>
require(ifultools)
path.dir.source <- '../data/'
#' ## LIBRARIES, LOCATIONS, LITERALS, ETC. GO ABOVE HERE
df.labs <- r... | mit | R |
a9e324a4578d6fc5da4473f8e4ceb12dabde6d0c | Update uvoz.r | rozmanU14/APPR-2015-16,rozmanU14/APPR-2015-16 | uvoz/uvoz.r | uvoz/uvoz.r |
#Vektor, ki predstavlja imena stolpcev:
nova.kolona<-c("kraj", "leto","živorojeni moški","živorojene ženske","umrli moški","umrle ženske","naravni prirast moški","naravni prirast ženske")
^#Funkcija, ki uvozi podatke iz datoteke podatki.csv
uvozi<-function(){
return(read.csv2(file="podatki/prirastek.csv",
... | # 2. faza: Uvoz podatkov
# Funkcija, ki uvozi podatke iz datoteke druzine.csv
uvozi.druzine <- function() {
return(read.table("podatki/druzine.csv", sep = ";", as.is = TRUE,
row.names = 1,
col.names = c("obcina", "en", "dva", "tri", "stiri"),
fileEnco... | mit | R |
26bb547d76de8267c8be3b2a5ee26b3240b3192f | Remove unnecessary function | klmr/codons,klmr/codons | scripts/translation-efficiency-test-sets.r | scripts/translation-efficiency-test-sets.r | define_relations = function (config) {
all_celltypes = unique(data$mrna_design(config)$Celltype)
healthy_celltypes = intersect(all_celltypes, c('Liver-Adult', 'E15.5'))
cancer_celltypes = setdiff(all_celltypes, healthy_celltypes)
all_relations = expand.grid(Codon = unique(all_celltypes),
... | define_relations = function (config) {
all_celltypes = unique(data$mrna_design(config)$Celltype)
healthy_celltypes = intersect(all_celltypes, c('Liver-Adult', 'E15.5'))
cancer_celltypes = setdiff(all_celltypes, healthy_celltypes)
all_relations = expand.grid(Codon = unique(all_celltypes),
... | apache-2.0 | R |
5d69482a412b5cd1a35543f9a2d56dd7f487aace | rename local variable | robertzk/microserver,robertzk/microserver,kirillseva/microserver | R/microserver.r | R/microserver.r | #' Default http server configuration for libuv hook.
#'
#' @param routes list. A named list of routes, with a handler
#' function for each route. The first unnamed route will be used
#' as the root. If none is provided, just a 404 status will be returned.
#' @examples
#' \dontrun{
#' http_server(list('/ping' =... | #' Default http server configuration for libuv hook.
#'
#' @param routes list. A named list of routes, with a handler
#' function for each route. The first unnamed route will be used
#' as the root. If none is provided, just a 404 status will be returned.
#' @examples
#' \dontrun{
#' http_server(list('/ping' =... | mit | R |
eaec1f1a94190d27d10af936025c9603bcc034e7 | Update h2o.glmgrid.r | h2oai/h2o-2,100star/h2o,calvingit21/h2o-2,h2oai/h2o,eg-zhang/h2o-2,h2oai/h2o-2,100star/h2o,h2oai/h2o-2,rowhit/h2o-2,elkingtonmcb/h2o-2,elkingtonmcb/h2o-2,vbelakov/h2o,100star/h2o,rowhit/h2o-2,vbelakov/h2o,rowhit/h2o-2,vbelakov/h2o,elkingtonmcb/h2o-2,rowhit/h2o-2,rowhit/h2o-2,elkingtonmcb/h2o-2,111t8e/h2o-2,eg-zhang/h2o... | R/h2o-package/demo/h2o.glmgrid.r | R/h2o-package/demo/h2o.glmgrid.r | library(h2o)
localH2O = new("H2OClient", ip = "localhost", port = 54321)
h2o.checkClient(localH2O)
prostate.hex = h2o.importFile(localH2O, path = system.file("extdata", "prostate.csv", package="h2o"), key = "prostate.hex")
alpha = c(0.25,0.5,0.75)
lambda = c(1,10)
for(i in 1:length(lambda)){
for(j in 1:length(al... | source("H2O_Load.R")
localH2O = new("H2OClient", ip = "localhost", port = 54321)
h2o.checkClient(localH2O)
prostate.hex = h2o.importURL(localH2O, path = "https://raw.github.com/0xdata/h2o/master/smalldata/logreg/prostate.csv", key = "prostate.hex")
alpha = c(0.25,0.5,0.75)
lambda = c(1,10)
for(i in 1:length(lambda))... | apache-2.0 | R |
fcd23aa8ef53a18974a4fedb984b5836dae7cc72 | Update rlibrary_dependency.r | oltkkol/vmod | rlibrary_dependency.r | rlibrary_dependency.r | rlibrary <- function(libraryName, fInstall = NULL){
prequire <- function() return(require(libraryName, character.only=T))
if (prequire() == F){
if (is.function(fInstall)){
fInstall()
}else{
install.packages(libraryName)
}
library(libraryName, character.only=T)
}
}
stop_quietly <- function() {
opt <... | rlibrary <- function(libraryName, fInstall = NULL){
prequire <- function() return(require(libraryName, character.only=T))
if (prequire() == F){
if (is.function(fInstall)){
fInstall()
}else{
install.packages(libraryName)
}
library(libraryName, character.only=T)
}
}
stop_quietly <- function() {
opt <... | mit | R |
5689a32c8a056f8a92c9d2a33752982207060b18 | use the right is.null | robertzk/s3mpi | R/s3read.r | R/s3read.r | #' Read an R object in S3 by key
#'
#' Any type of object that can be serialized as an RDS file
#' is capable of being stored using this interface.
#'
#' @param name character. The key to grab from S3.
#' @param .path. The location of your S3 bucket.
#' @param cache logical. If true, use the local s3cache if available... | #' Read an R object in S3 by key
#'
#' Any type of object that can be serialized as an RDS file
#' is capable of being stored using this interface.
#'
#' @param name character. The key to grab from S3.
#' @param .path. The location of your S3 bucket.
#' @param cache logical. If true, use the local s3cache if available... | mit | R |
a7f40b75c42f925d983e44c5073ea256e64e7335 | Update zzz.r | syberia/syberia | R/zzz.r | R/zzz.r | .onAttach <- function(...) {
load_github_packages(.github_packages)
if (exists('run', envir = .GlobalEnv, inherits = FALSE)) rm('run', envir = .GlobalEnv)
makeActiveBinding('run', function() build_model, .GlobalEnv)
}
| .onAttach <- function(...) {
#load_github_packages(.github_packages)
if (exists('run', envir = .GlobalEnv, inherits = FALSE)) rm('run', envir = .GlobalEnv)
makeActiveBinding('run', function() build_model, .GlobalEnv)
}
| mit | R |
d521050d086825ecc20303c0c6a1c93f6e2a4c7d | make mungebitsTransformations required | syberia/tundra,robertzk/tundra | R/zzz.r | R/zzz.r | .onAttach <- function(...) {
require(mungebits)
require(mungebitsTransformations)
require(stagerunner)
}
| .onAttach <- function(...) {
require(mungebits)
require(stagerunner)
}
| mit | R |
ffc45b4a5f91378636b634a74ec1bdbcb14fae20 | remove this dpue | syberia/syberia | R/syberia-package.r | R/syberia-package.r | #' Syberia provides an opinionated unified framework for
#' fast iteration on classifier development and deployment. It is
#' founded on convention over configuration and aims to solve the
#' problems of classifier-specific data preparation and
#' classifier-specific modeling parameters.
#'
#' @name syberia
#' @docType... | #' Syberia provides an opinionated unified framework for
#' fast iteration on classifier development and deployment. It is
#' founded on convention over configuration and aims to solve the
#' problems of classifier-specific data preparation and
#' classifier-specific modeling parameters.
#'
#' @name syberia
#' @docType... | mit | R |
c26deacba807e0a137df15c5e60b8ceb62310072 | Update analiza.r | Anchiqua/APPR-2015-16 | analiza/analiza.r | analiza/analiza.r | # 4. faza: Analiza podatkov
tabela4 <- inner_join(tabela3, tabela2)
tabela4 <- tabela4[c( "stevilo" ,"tocke")]
tabela4.norm <- scale(tabela4)
k <- kmeans(tabela4.norm, 5)
#head(k$cluster, n = 15, nstart=1000)
table(k$cluster)
k <- kmeans(tabela4.norm, 5, nstart = 10000)
tabela4.skupine <- data.frame(Drzava = name... | # 4. faza: Analiza podatkov
barve <- rainbow(length(levels(obcine[[7]])))
names(barve) <- levels(obcine[[7]])
| mit | R |
13c58ae9f2b0c8917a4b4b5a39b7ad9c354bf78b | Split script up into multiple functions | mattm/active-user-cohort-analysis | active-users.r | active-users.r | CSV_PATH = "data/test-data.csv"
CSV_SEPARATOR = "\t"
Run <- function() {
activities <- LoadActivityData()
data <- AnalyzeActiveUserCohorts(activities)
PlotActiveUserCohorts(data)
}
LoadActivityData <- function() {
activities <- read.csv(CSV_PATH, sep = CSV_SEPARATOR,
col.names = c("user.id", "date"), header = F... | CSV_PATH = "data/test-data.csv"
CSV_SEPARATOR = "\t"
# TODO: Figure out how to prevent ggplot from rendering a thin line for
# cohorts that have zero active users in a month
PlotActiveUserCohorts <- function(data) {
# Convert the sign up month cohorts ("2015-01", etc) to
# dates so they can be used in in the ggplot... | mit | R |
590a988ba1a89fe30067221ef782c45a46920c03 | Add pthread dependency to TCC extension | giuliolunati/ren-c,giuliolunati/ren-c,hostilefork/rebol,hostilefork/rebol,giuliolunati/ren-c,hostilefork/rebol,hostilefork/rebol,hostilefork/rebol,hostilefork/rebol,giuliolunati/ren-c,giuliolunati/ren-c | extensions/tcc/make-spec.r | extensions/tcc/make-spec.r | REBOL [
Title: {TCC Extension Rebmake Compiling/Linking Information}
]
name: 'TCC
source: %tcc/mod-tcc.c
includes: [
%prep/extensions/tcc
]
; If they installed libtcc with `sudo apt-get libtcc-dev`, then the switches
; for `-ltcc` and `#include "libtcc.h" should just work. Otherwise, they
; have to do `ex... | REBOL [
Title: {TCC Extension Rebmake Compiling/Linking Information}
]
name: 'TCC
source: %tcc/mod-tcc.c
includes: [
%prep/extensions/tcc
]
; If they installed libtcc with `sudo apt-get libtcc-dev`, then the switches
; for `-ltcc` and `#include "libtcc.h" should just work. Otherwise, they
; have to do `ex... | apache-2.0 | R |
7ea7602ea6f3b17aa0dbe75f8d1052d7b3c0c4f1 | Update uvoz.r | aleksandrov2/APPR-2015-16 | uvoz/uvoz.r | uvoz/uvoz.r | # 2. faza: Uvoz
require(dplyr)
require(rvest)
require(xml2)
#require(ggplot)
#link do uradne strani OECD kjer sem dobil podatke
link <- "https://data.oecd.org/gga/general-government-debt.htm"
podstran <- html_session(link) %>% read_html()
podstran
#ustvarim tabeli
podatki1 <- read.csv("podatki/government_debt.csv"... | # 2. faza: Uvoz
require(dplyr)
require(rvest)
require(xml2)
#require(ggplot)
#link do uradne strani OECD kjer sem dobil podatke
link <- "https://data.oecd.org/gga/general-government-debt.htm"
podstran <- html_session(link) %>% read_html()
podstran
#ustvarim tabeli
podatki1 <- read.csv("podatki/government_debt.csv"... | mit | R |
03da69b8772289d7f759094102b8df23827d72d0 | Update implementation of topicmodel scripts | HIIT/digivaalit-2015,HIIT/digivaalit-2015,HIIT/digivaalit-2015 | topics/topics.r | topics/topics.r | create_dtm <- function( path ) {
library(topicmodels)
library(tm)
a <- Corpus( DirSource( path ) )
a <- tm_map(a, removeNumbers)
a <- tm_map(a , stripWhitespace)
a <- tm_map(a, removePunctuation)
a <- tm_map(a, content_transformer(tolower) )
stopwords("finnish")
a <- tm_map(a, removeWords, stopword... | create_dtm <- function( path ) {
library(topicmodels)
library(tm)
a <- Corpus( DirSource( path ) )
a <- tm_map(a, removeNumbers)
a <- tm_map(a , stripWhitespace)
a <- tm_map(a, removePunctuation)
a <- tm_map(a, content_transformer(tolower) )
stopwords("finnish")
a <- tm_map(a, removeWords, stopword... | mit | R |
05c5d9fce2b51d609b7103b2407343c4a247a96c | Add infrastructure for module file path retrival | klmr/modules,klmr/modules | R/module_cache.r | R/module_cache.r | #' Environment of loaded modules
#'
#' Each module is stored as an environment inside \code{.loaded_modules} with
#' the module’s code location path as its identifier. The path rather than the
#' module name is used because module names are not unique: two modules called
#' \code{a} can exist nested inside modules \cod... | #' Environment of loaded modules
#'
#' Each module is stored as an environment inside \code{.loaded_modules} with
#' the module’s code location path as its identifier. The path rather than the
#' module name is used because module names are not unique: two modules called
#' \code{a} can exist nested inside modules \cod... | apache-2.0 | R |
1736a8c2fe61d71e41410abbe1a0d60f852ba2e8 | Add doc comments to test module for debugging | klmr/modules,klmr/modules | inst/tests/modules/a.r | inst/tests/modules/a.r | #' Double a number
#'
#' Add a number to itself by the cunning use of arithmetic.
#'
#' @param x a number
#' @return \code{x * 2}
double = function (x) x * 2
.modname = module_name()
#' Counter for testing
counter = 1
#' The module’s name
get_modname = function () .modname
#' The module’s name, via a function
get_m... | double = function (x) x * 2
.modname = module_name()
counter = 1
get_modname = function () .modname
get_modname2 = function () module_name()
get_counter = function () counter
inc = function ()
counter <<- counter + 1
`%or%` = function (a, b)
if (length(a) > 0) a else b
`+.string` = function (a, b)
p... | apache-2.0 | R |
45dc39b1e79cd44c82fa33fe6192ea8e4ac8bb29 | comment out the new packages for now | astroidex/OSGeoLive,guygriffiths/OSGeoLive,kalxas/OSGeoLive,OSGeo/OSGeoLive,astroidex/OSGeoLive,astroidex/OSGeoLive,astroidex/OSGeoLive,PascalLike/OSGeoLive,PascalLike/OSGeoLive,kalxas/OSGeoLive,OSGeo/OSGeoLive,astroidex/OSGeoLive,guygriffiths/OSGeoLive,OSGeo/OSGeoLive,guygriffiths/OSGeoLive,OSGeo/OSGeoLive,kalxas/OSGe... | bin/installRpackages.r | bin/installRpackages.r | packagelist <- c("boot","class","classInt","DCluster","digest","epitools","gpclib","graph","gstat","maptools","Matrix","pgirmess","pkgDepTools","R2WinBUGS","RandomFields","RBGL","RColorBrewer","rgdal","Rgraphviz","sp","spam","spatialkernel","spatstat","spdep","spgrass6","spgwr","splancs","tripack","xtable")
#packagelis... | packagelist <- c("ade4","adehabitat","ads","akima","ash","aspace","automap","clustTool","diseasemapping","ecespa","fields","GEOmap","geomapdata","geonames","geoR","geoRglm","GeoXp","glmmBUGS","gmaps","gmt","grasp","hdeco","mapdata","mapproj","MBA","ModelMap","ncdf","ncf","pastecs","PBSmapping","PBSmodelling","ramps","R... | lgpl-2.1 | R |
f2e7afa31e9d570f8057c22940fe1e446e0f4d8f | Remove unused SlurmOptions method | jmousseau/Stain | R/slurm-settings.r | R/slurm-settings.r | #' SlurmOptions R6 object.
#'
#' An interface to SBATCH settings.
SlurmOptions <- R6::R6Class("SlurmOptions",
public = list(
options = c(sbatch_opts$nodes(1),
sbatch_opts$memory("8g"),
sbatch_opts$cpus_per_task(1),
sbatch_opts$time("00:30:00")),
... | #' SlurmOptions R6 object.
#'
#' An interface to SBATCH settings.
SlurmOptions <- R6::R6Class("SlurmOptions",
public = list(
options = c(sbatch_opts$nodes(1),
sbatch_opts$memory("8g"),
sbatch_opts$cpus_per_task(1),
sbatch_opts$time("00:30:00")),
... | mit | R |
e88f8b3593b05e1272b011cd775e3d3663a4b7d9 | Update a document about ToolSubAccountAction. | snakamura/q3,snakamura/q3,snakamura/q3,snakamura/q3,snakamura/q3,snakamura/q3,snakamura/q3,snakamura/q3,snakamura/q3 | q3/docs/ToolSubAccountAction.rd | q3/docs/ToolSubAccountAction.rd | =begin
=ToolSubAccountANV
Ŏw肳ꂽO((<TuAJEg|URL:SubAccount.html>))SẴAJEǧ݂̃TuAJEgAw肳ꂽTuAJEgɐւ܂Bw肳ꂽÕTuAJEgȂAJEgɂ͉e^܂Bw肳ƃftHg̃TuAJEgɐւ܂B
==
:1
TuAJEgB
==LȃEBhEEr[
*CEBhE
*bZ[WEBhE
=end
| =begin
=ToolSubAccountANV
Ŏw肳ꂽO((<TuAJEg|URL:SubAccount.html>))SẴAJEǧ݂̃TuAJEgAw肳ꂽTuAJEgɐւ܂Bw肳ꂽÕTuAJEgȂAJEgɂ͉e^܂Bw肳ƃftHg̃TuAJEgɐւ܂B
==
:1
TuAJEgB
==LȃEBhEEr[
*CEBhE
=end
| mit | R |
216e63e5c45f50a668d3ac82714d5681c180253d | combine tests for proxy | mschubert/clustermq,mschubert/clustermq,mschubert/clustermq | tests/testthat/test-ssh_proxy.r | tests/testthat/test-ssh_proxy.r | context("ssh_proxy")
context = rzmq::init.context()
socket = rzmq::init.socket(context, "ZMQ_REP")
port = bind_avail(socket, 50000:55000)
Sys.sleep(0.5)
if (Sys.info()[['sysname']] == "Windows")
skip("Forking not available on Windows")
p = parallel::mcparallel(ssh_proxy(port))
common_data = list(fun = function(x)... | context("ssh_proxy")
context = rzmq::init.context()
socket = rzmq::init.socket(context, "ZMQ_REP")
port = bind_avail(socket, 50000:55000)
Sys.sleep(0.5)
if (Sys.info()[['sysname']] == "Windows")
skip("Forking not available on Windows")
p = parallel::mcparallel(ssh_proxy(port))
test_that("startup", {
msg = rzm... | apache-2.0 | R |
1ced72cab8c4b83cf606788badccae5061c62f74 | Simplify expression | klmr/codons,klmr/codons | scripts/translation-efficiency-test-sets.r | scripts/translation-efficiency-test-sets.r | define_contrasts = function (config) {
all_celltypes = unique(data$mrna_design(config)$Celltype)
healthy_celltypes = intersect(all_celltypes, c('Liver-Adult', 'E15.5'))
cancer_celltypes = setdiff(all_celltypes, healthy_celltypes)
all_contrasts = expand.grid(Codon = unique(all_celltypes),
... | define_contrasts = function (config) {
all_celltypes = unique(data$mrna_design(config)$Celltype)
healthy_celltypes = intersect(all_celltypes, c('Liver-Adult', 'E15.5'))
cancer_celltypes = setdiff(all_celltypes, healthy_celltypes)
all_contrasts = expand.grid(Codon = unique(all_celltypes),
... | apache-2.0 | R |
188393b6734ec71c99774475bd41c76387ede81a | change test.r | kazutan/git_test | R/test.r | R/test.r | library(ggplot2)
ggplot(iris, aes(x = Sepal.Width, y = Sepal.Length)) +
geom_point() +
theme_bw()
ggplot(iris, aes(x = Petal.Width, y = Petal.Length)) +
geom_point() +
theme_bw() | library(ggplot2)
ggplot(iris, aes(x = Sepal.Width, y = Sepal.Length)) +
geom_point() +
theme_bw()
| mit | R |
061be5fa57ce3da15618183adaf9b341e8548740 | Update UTCI.r | alfcrisci/rBiometeo,alfcrisci/rBiometeo | R/UTCI.r | R/UTCI.r | #' UTCI
#'
#' Calculate Universal Thermal Climate Index ( UTCI) index.
#'
#' @param numeric t Air temperature in Celsius degrees.
#' @param numeric rh Air Relative humidity in percentage.
#' @param numeric wind Wind speed in meter per second.
#' @param numeric tr Mean radiant temperature in Celsius degrees
#' @return U... | #' UTCI
#'
#' Calculate Universal Thermal Climate Index ( UTCI) index.
#'
#' @param numeric t Air temperature in Celsius degrees.
#' @param numeric rh Air Relative humidity in percentage.
#' @param numeric wind Wind speed in meter per second.
#' @param numeric tr Mean radiant temperature in Celsius degrees
#' @return U... | mit | R |
e5a44ca648bd936da3e76cf30be665e06df872ab | access objs in correct env | mschubert/narray,mschubert/narray | R/melt.r | R/melt.r | #' Function to melt data.frame from one or multiple arrays
#'
#' @param ... Array[s] or data.frame[s] to be melted
#' @param dimnames List of names along the dimensions
#' @param na_rm Remove rows with NAs
#' @return data.frame with 'value' (or object names if multiple) indexed by axes
#' @export
melt = fu... | #' Function to melt data.frame from one or multiple arrays
#'
#' @param ... Array[s] or data.frame[s] to be melted
#' @param dimnames List of names along the dimensions
#' @param na_rm Remove rows with NAs
#' @return data.frame with 'value' (or object names if multiple) indexed by axes
#' @export
melt = fu... | apache-2.0 | R |
b3c8a2b4c1da7ed8d3df2d75139da7de6f3f6304 | Add default to limit.window | amcat/amcat,amcat/amcat,amcat/amcat,amcat/amcat,amcat/amcat,amcat/amcat | amcat/scripts/query/r_plugins/wordcloud.r | amcat/scripts/query/r_plugins/wordcloud.r | .STOP = c("english", "SMART", "danish", "french", "greek", "hungarian", "norwegian", "russian", "swedish", "catalan", "dutch", "finnish", "german", "italian", "portuguese", "spanish", "arabic")
formfields = djangoFormFields(max.words = IntegerField(initial=50, required=T),
remove.stopword... | .STOP = c("english", "SMART", "danish", "french", "greek", "hungarian", "norwegian", "russian", "swedish", "catalan", "dutch", "finnish", "german", "italian", "portuguese", "spanish", "arabic")
formfields = djangoFormFields(max.words = IntegerField(initial=50, required=T),
remove.stopword... | agpl-3.0 | R |
dfe17f69014680a4bfd337b487bd9c7ec0a851d9 | add shinydashboard package | felipenoris/AWSFinance,felipenoris/math-server-docker,felipenoris/AWSFinance,felipenoris/math-server-docker | libs/r-packages.r | libs/r-packages.r |
pkgs <- c(
"alabama",
"base64enc",
"caret",
"cubature",
"data.table",
"DEoptim",
"devtools",
"doParallel",
"doSNOW",
"dplyr",
"dyn",
"dynlm",
"extrafont",
"feather",
"fAsianOptions",
"fAssets",
"fBasics",
"fBonds",
"fCopulae",
"fExoticOptions",
"fExtremes",
"fGarch",
"fImport",
"fMultivar",
"f... |
pkgs <- c(
"alabama",
"base64enc",
"caret",
"cubature",
"data.table",
"DEoptim",
"devtools",
"doParallel",
"doSNOW",
"dplyr",
"dyn",
"dynlm",
"extrafont",
"feather",
"fAsianOptions",
"fAssets",
"fBasics",
"fBonds",
"fCopulae",
"fExoticOptions",
"fExtremes",
"fGarch",
"fImport",
"fMultivar",
"f... | mit | R |
9439d8abbd6343dd7fcf63159e7849224e010fee | revert zmq class util | mschubert/clustermq,mschubert/clustermq,mschubert/clustermq | tests/testthat/helper-util.r | tests/testthat/helper-util.r | send = function(sock, data) {
send_socket(sock, data)
}
recv = function(p, sock, timeout=3L) {
event = poll_socket(list(sock), timeout=timeout * 1000)
if (is.null(event))
return(recv(p, sock, timeout=timeout))
else if (event[1]) {
re = receive_multipart(sock)
if (length(re) == 1... | send = function(sock, data) {
send_socket(sock, data)
}
recv = function(p, sock, timeout=3L) {
event = poll_socket(list(sock), timeout=timeout * 1000)
if (is.null(event))
return(recv(p, sock, timeout=timeout))
else if (event[1]) {
re = receive_multipart(sock)
if (length(re) == 1... | apache-2.0 | R |
83302ccf10ffa43ebdf7d562f32f9b1a23194cb4 | Add linear regression family of models | ixaxaar/handyR | models.r | models.r |
# Naive Bayes
library(e1071)
model = m.nb = naiveBayes(form, ds[train, vars])
cl.nb = predict(model, ds[test, vars], type="class")
pr.nb = predict(model, ds[test, vars], type="raw")[,2]
# Decision tree
library(rpart)
model = m.rp = rpart(form, ds[train, vars])
cl.rp = predict(model, ds[test, vars], type="class")
pr.r... |
# Naive Bayes
library(e1071)
model <- m.nb <- naiveBayes(form, ds[train, vars])
cl.nb <- predict(model, ds[test, vars], type="class")
pr.nb <- predict(model, ds[test, vars], type="raw")[,2]
# Decision tree
library(rpart)
model <- m.rp <- rpart(form, ds[train, vars])
cl.rp <- predict(model, ds[test, vars], type="class... | mit | R |
c4f65a4fd931f2aa9059da05e27508c478997bb4 | comment out test in byte-test.r until version 2 | rheber/red,rheber/red,vehar/red,iArnold/red,vehar/red,NikolayShubenkovProgSchool/red,red-eco/red,NikolayShubenkovProgSchool/red,iArnold/red,red-eco/red | red-system/tests/source/compiler/byte-test.r | red-system/tests/source/compiler/byte-test.r | REBOL [
Title: "Red/System cast test script"
Author: "Nenad Rakocevic & Peter W A Wood"
File: %byte-test.r
Tabs: 4
Rights: "Copyright (C) 2011-2012 Nenad Rakocevic & Peter W A Wood. All rights reserved."
License: "BSD-3 - https://github.com/dockimbel/Red/blob/origin/BSD-3-License.txt"
]
change-dir %../
~... | REBOL [
Title: "Red/System cast test script"
Author: "Nenad Rakocevic & Peter W A Wood"
File: %byte-test.r
Tabs: 4
Rights: "Copyright (C) 2011-2012 Nenad Rakocevic & Peter W A Wood. All rights reserved."
License: "BSD-3 - https://github.com/dockimbel/Red/blob/origin/BSD-3-License.txt"
]
change-dir %../
~... | bsd-3-clause | R |
0398ff8badd797fd9048ab9bc75fc63d4bdf18ff | use test_check() | khufkens/daymetr | tests/run_tests.r | tests/run_tests.r | # Run all unit tests
# This is a wrapper around all the tests specified
# in the tests/testthat directory. These tests are visible
# to users and serve as small examples as well.
testthat::test_check("daymetr")
| # Run all unit tests
# This is a wrapper around all the tests specified
# in the inst/tests directory. These tests are visible
# to users and serve as small examples as well.
testthat::test_package("daymetr")
| agpl-3.0 | R |
f3073d29c9793fb4def1da102bbcc12fb3bb5b23 | fix literacy | exmo-dev/exmo_api_lib,exmo-dev/exmo_api_lib,exmo-dev/exmo_api_lib,exmo-dev/exmo_api_lib,exmo-dev/exmo_api_lib,exmo-dev/exmo_api_lib,exmo-dev/exmo_api_lib,exmo-dev/exmo_api_lib,exmo-dev/exmo_api_lib,exmo-dev/exmo_api_lib,exmo-dev/exmo_api_lib | r/exmo.r | r/exmo.r | library(httr)
library(jsonlite)
library(nanotime)
library(digest)
api_url <- "https://api.exmo.com/v1/"
api_key <- "K-..."
api_secret <- "S-..."
api_query <- function(method, key, secret, params = list()){
nonce <- (as.numeric(as.POSIXct(Sys.time()))*10000000)%/%1
params <- c(params, nonce = nonce)
data <- p... | library(httr)
library(jsonlite)
library(nanotime)
library(digest)
api_url <- "https://api.exmo.com/v1/"
api_key <- "K-..."
api_secret <- "S-..."
api_query <- function(method, key, secret, params = list()){
nonce <- (as.numeric(as.POSIXct(Sys.time()))*10000000)%/%1
params <- c(params, nonce = nonce)
data <- p... | mit | R |
63015d00f4da38e688ee562b5b02050388339572 | Make UI more dynamic. | IndyActuaries/epic-fhir,IndyActuaries/epic-fhir | server.r | server.r | #' ### CODE OWNERS: Shea Parkes
#'
#' ### OBJECTIVE:
#' * Server side code of Epic FHIR Shiny App.
#'
#' ### DEVELOPER NOTES:
#' * None
require(shiny)
require(dplyr)
require(magrittr)
source('r/load_data.r', chdir=TRUE)
#' ### LIBRARIES, LOCATIONS, LITERALS, ETC. GO ABOVE HERE
freq.name <- df.results %>%
grou... | #' ### CODE OWNERS: Shea Parkes
#'
#' ### OBJECTIVE:
#' * Server side code of Epic FHIR Shiny App.
#'
#' ### DEVELOPER NOTES:
#' * None
require(shiny)
source('r/load_data.r', chdir=TRUE)
#' ### LIBRARIES, LOCATIONS, LITERALS, ETC. GO ABOVE HERE
shinyServer(function(input, output) {
output$ui_name <- rende... | mit | R |
adc64a647f117b343ce3716abf0d7b5f6fa05a3c | Update global.r | FrissAnalytics/FrissShinyDashboardTemplate,FrissAnalytics/FrissShinyDashboardTemplate | global.r | global.r | rm(list = ls())
library(shiny)
library(shinydashboard)
# see also https://almsaeedstudio.com/preview
# http://stackoverflow.com/questions/31711307/how-to-change-color-in-shiny-dashboard
# Friss dashboard header
FrissHeader <- function(){tags$head(
tags$link(rel = "stylesheet", type = "text/css", href = "app.css"),... | rm(list = ls())
library(shiny)
library(shinydashboard)
# see also https://almsaeedstudio.com/preview
# http://stackoverflow.com/questions/31711307/how-to-change-color-in-shiny-dashboard
# Friss dashboard header
FrissHeader <- function(){tags$head(
tags$link(rel = "stylesheet", type = "text/css", href = "app.css"),... | mit | R |
259fd834f28904fc9aaa4d6a8aef5b045283a9ad | Add transparent area | thoolihan/GoogleAnalyticsRExample | explore.r | explore.r |
data <- read.csv("~/workspace/data/ga2-hoolihan.csv", sep=",")
with(data, {
Day.Index <- as.Date(Day.Index, format="%m/%d/%Y")
plot(Day.Index,
Pageviews,
xlab = "Date",
type = "b",
pch = 21,
bg = "navy",
col = "navy",
main = "Google Ana... |
data <- read.csv("~/workspace/data/ga2-hoolihan.csv", sep=",")
with(data, {
Day.Index <- as.Date(Day.Index, format="%m/%d/%Y")
plot(Day.Index,
Pageviews,
xlab = "Date",
type = "b",
col = "blue",
pch = 21,
bg = "navy",
main = "Googl... | unlicense | R |
bc53daad4191cea49be2ef4fed161babcb37f2b1 | Rename “contrast” to “relation” | klmr/codons,klmr/codons | scripts/translation-efficiency-test-sets.r | scripts/translation-efficiency-test-sets.r | define_relations = function (config) {
all_celltypes = unique(data$mrna_design(config)$Celltype)
healthy_celltypes = intersect(all_celltypes, c('Liver-Adult', 'E15.5'))
cancer_celltypes = setdiff(all_celltypes, healthy_celltypes)
all_relations = expand.grid(Codon = unique(all_celltypes),
... | define_contrasts = function (config) {
all_celltypes = unique(data$mrna_design(config)$Celltype)
healthy_celltypes = intersect(all_celltypes, c('Liver-Adult', 'E15.5'))
cancer_celltypes = setdiff(all_celltypes, healthy_celltypes)
all_contrasts = expand.grid(Codon = unique(all_celltypes),
... | apache-2.0 | R |
6b19d1428937545ed6798dd64450437dd53f282b | complete extract protein aac | tttor/csipb-jamu-prj,tttor/csipb-jamu-prj,tttor/csipb-jamu-prj,tttor/csipb-jamu-prj,tttor/csipb-jamu-prj,tttor/csipb-jamu-prj,tttor/csipb-jamu-prj,tttor/csipb-jamu-prj,tttor/csipb-jamu-prj | feature/extract_protein.r | feature/extract_protein.r | # extract_protein.r
main <- function(x) {
args = commandArgs(trailingOnly=TRUE)
if (length(args)!=3) {
message('USAGE:')
message('Rscript extract_protein.r [yamType] [from] [to]')
return()
}
library('Rcpi')
yamType <- args[1]
from <- as.numeric(args[2])
to <- as.numeric(args[3])... | # extract_protein.r
# id = c('hsa:10161', 'hsa:10162')
# getSeqFromKEGG(id)
# getFASTAFromKEGG(id)
# x = readFASTA(system.file('protseq/P00750.fasta', package = 'Rcpi'))[[1]]
# extractProtAAC(x)
# extractProtCTDC(x)
| mit | R |
8e4b02bc0715f8140943b1b62ebaf2de8396568c | Update wetbulb.r | alfcrisci/rBiometeo,alfcrisci/rBiometeo | R/wetbulb.r | R/wetbulb.r | #' wetbulb
#'
#' DESCRIPTION
#'
#' @param numeric t Air temperature in Celsius degrees.
#' @param numeric rh Air Relative humidity in percentage.
#' @param numeric press Air pressure in hPa or millibar.
#' @return Wet bulb temperature in Celsius degrees.
#'
#'
#' @author Istituto di Biometeorologia Firenze Italy Alf... | #' wetbulb
#'
#' DESCRIPTION
#'
#' @param numeric t Air temperature in Celsius degrees.
#' @param numeric rh Air Relative humidity in percentage.
#' @param numeric press Air pressure in hPa or millibar.
#' @return Wet bulb temperature in Celsius degrees.
#'
#'
#' @author Istituto di Biometeorologia Firenze Italy Alf... | mit | R |
7d56ea97873d4dbfa64925f32d5996c24316d5b1 | Complete rewrite of thin(n, k) to be much, MUCH faster and memory efficient when n is large (>1e10) | sushilashenoy/zoom.plot | R/qq_plot.r | R/qq_plot.r | # This function samples k indices from 1:n starting with very dense sampling
# (every value) and then getting more and more sparse
#' Sampling for qq plots
#'
#' Returns k indices between 1:n such that sampling is very dense at the start and much less dense at the end.
#'
#' @export
thin <- function(n, k=2000) {
i... | # This function samples k indices from 1:n starting with very dense sampling
# (every value) and then getting more and more sparse
#' Sampling for qq plots
#'
#' Returns k indices between 1:n such that sampling is very dense at the start and much less dense at the end.
#'
#' @export
thin <- function(n, k=2000) {
i... | mit | R |
fc199548a75e68e934f99eb1fbe943b56f6b788b | Fix all bugs to make running | HIIT/digivaalit-2015,HIIT/digivaalit-2015,HIIT/digivaalit-2015 | topics/stm.r | topics/stm.r | create_model <- function( dtm, k ) {
library(stm)
out <- readCorpus( dtm, type = "slam" )
documents <- out$documents
vocab <- out$vocab
topic <- stm(documents, vocab, K = k, init.type = "Spectral", max.em.its = 50)
return( topic )
}
| create_model <- function( dtm, k ) {
library(stm)
out <- readCorpus( dtm, type = "dtm" )
documents <- out$documents
vocab <- out$vocab
topic <- stm(documents, vocab, init.type = "Spectral", max.em.its = 50)
return topic;
}
| mit | R |
513d067a9699dcdd38795a86fa07bcf92c81670e | add tests for is.llist() | TobCap/lazystreamr | tests/testthat/test-is.list.r | tests/testthat/test-is.list.r | context("test for is.list()")
test_that("test", {
expect_false(is.lcons(lempty))
expect_false(is.lpair(lempty))
expect_true(is.llist(lempty))
expect_true(is.lcons(1 %:% 2))
expect_true(is.lpair(1 %:% 2))
expect_false(is.llist(1 %:% 2))
expect_true(is.lcons(1 %..% 2))
expect_false(is.lpair... | context("test for is.list()")
test_that("test", {
expect_true(is.llist(lempty))
expect_true(is.llist(1 %:% (2 %:% lempty)))
expect_true(is.llist(llist(1, 2, 3)))
expect_true(is.llist(1 %..% 3))
ones <- 1 %:% ones
lseq_maker. <- function(..., f) ..1 %:% do.call(lseq_maker., c(list(...)[-1], do.cal... | mit | R |
4e52d4add99ae909081612dfb09bd353be5bd64d | Update CalcAlleleDiffs.r | wbooker/PloidyPal | R/CalcAlleleDiffs.r | R/CalcAlleleDiffs.r | #' @export
CalcAlleleDiffs <- function(f){
infoTable <- as.matrix(read.csv(f, header=TRUE))
BEG1 <- as.numeric(infoTable[1,2])
END1 <- as.numeric(infoTable[2,2])
str1 <- toString(infoTable[4,2])
for(j in BEG1:END1){
if (file.exists(filePath) == TRUE){
filePath <- paste(c(str1,"/I",j,... | #' @export
CalcAlleleDiffs <- function(f){
infoTable <- as.matrix(read.csv(f, header=TRUE))
BEG1 <- as.numeric(infoTable[1,2])
END1 <- as.numeric(infoTable[2,2])
str1 <- toString(infoTable[4,2])
for(j in BEG1:END1){
filePath <- paste(c(str1,"/I",j,"/I",j,"_allelesFromPost_4.txt"), collapse = ""... | mit | R |
c866589adbc7c5a73b1bc84273a779ae9120f83a | Remove setwidth package | klmr/.files,klmr/.files,klmr/.files | .R/config.r | .R/config.r | options(
pager = file.path(Sys.getenv('HOME'), '.R/pager.sh'),
# Imperial College London
repos = c(CRAN = 'https://cran.ma.imperial.ac.uk/'),
menu.graphics = FALSE, # Seriously, WHAT THE FUCK, R!?
import.path = '~/.R/modules',
devtools.name = 'Konrad Rudolph',
devtools.desc.author = 'Konrad ... | options(
pager = file.path(Sys.getenv('HOME'), '.R/pager.sh'),
# Imperial College London
repos = c(CRAN = 'https://cran.ma.imperial.ac.uk/'),
menu.graphics = FALSE, # Seriously, WHAT THE FUCK, R!?
import.path = '~/.R/modules',
devtools.name = 'Konrad Rudolph',
devtools.desc.author = 'Konrad ... | apache-2.0 | R |
5558880efe8abf2a3eebfd66c9e665e692bd5d1f | copy in the hmc function | MikeXL/bayes | R/mcmc.r | R/mcmc.r |
metrop.proposal.fun <- function(theta){
# finding the right scaling factor is more of an art than science
# or try and error to look for the best fit on acceptance %
return(rnorm(length(theta), mean=theta, sd=rep(sqrt(.5), length(theta))))
}
simple.proposal.fun <- function(theta){
return(theta+rnorm(1))
}
... |
metrop.proposal.fun <- function(theta){
# finding the right scaling factor is more of an art than science
# or try and error to look for the best fit on acceptance %
return(rnorm(length(theta), mean=theta, sd=rep(sqrt(.5), length(theta))))
}
simple.proposal.fun <- function(theta){
return(theta+rnorm(1))
}
... | mit | R |
1e45d89c2e8602a104eb6e9efb3c73173a39a35d | Add basename for fonts where name differs | klmr/ggplots | fonts.r | fonts.r | extrafontdb_path = try(system.file('metrics', package = 'extrafontdb', mustWork = TRUE), silent = TRUE)
# FIXME: Make this work with un-gzipped font metrics as well.
# FIXME: Make this work with incomplete fonts.
complete_font_set = paste0(c('-Regular', '-Bold', '-Italic', '-BoldItalic'), '.afm.gz')
rebuild_cache = fu... | extrafontdb_path = try(system.file('metrics', package = 'extrafontdb', mustWork = TRUE), silent = TRUE)
# FIXME: Make this work with un-gzipped font metrics as well.
# FIXME: Make this work with incomplete fonts.
complete_font_set = paste0(c('-Regular', '-Bold', '-Italic', '-BoldItalic'), '.afm.gz')
rebuild_cache = fu... | apache-2.0 | R |
5afb21d6af76298b652073a56cfc4f093faa8213 | fix return type if not vecs | mschubert/narray,mschubert/narray | R/vectors_to_row_or_col.r | R/vectors_to_row_or_col.r | #' Converts vectors in a list to row- or column vectors
#'
#' @param xlist List of array-like elements and vectors
#' @param along Along which dimension vectors should be aligned
#' @return List where vectors are replaced by row- or col vectors (2d)
vectors_to_row_or_col = function(xlist, along) {
# for vector... | #' Converts vectors in a list to row- or column vectors
#'
#' @param xlist List of array-like elements and vectors
#' @param along Along which dimension vectors should be aligned
#' @return List where vectors are replaced by row- or col vectors (2d)
vectors_to_row_or_col = function(xlist, along) {
# for vector... | apache-2.0 | R |
02cf3854eead97ebd524ddbc9f473df552192eef | rename cluster based on manual validataion | shengqh/ngsperl,shengqh/ngsperl,shengqh/ngsperl,shengqh/ngsperl | lib/scRNA/renameCluster.r | lib/scRNA/renameCluster.r |
library(Seurat)
library(ggplot2)
finalList<-readRDS(parFile1)
obj<-finalList$obj
newnames<-read.table(parSampleFile2, stringsAsFactors = F, sep="\t", header=F)
clusters<-data.frame("cell" = c(1:length(obj$seurat_clusters)), "seurat_cluters"=as.numeric(as.character(obj$seurat_clusters)), "cellactivity_clusters"=obj$c... |
library(Seurat)
library(ggplot2)
finalList<-readRDS(parFile1)
obj<-finalList$obj
| apache-2.0 | R |
066d8467656d4124bedc676aa5af14738bb0eb70 | fix error message | robertzk/s3mpi | R/s3store.r | R/s3store.r | #' Store an R object in S3 by key
#'
#' Any type of object that can be serialized as an RDS file
#' is capable of being retrieved using this interface.
#'
#' @export
#' @examples
#' \dontrun{
#' s3store(c(1,2,3), 'test123')
#' print(s3read('test123'))
#' # [1] 1 2 3
#' }#'
s3store <- function(obj, name = NULL, .path = ... | #' Store an R object in S3 by key
#'
#' Any type of object that can be serialized as an RDS file
#' is capable of being retrieved using this interface.
#'
#' @export
#' @examples
#' \dontrun{
#' s3store(c(1,2,3), 'test123')
#' print(s3read('test123'))
#' # [1] 1 2 3
#' }#'
s3store <- function(obj, name = NULL, .path = ... | mit | R |
a8f7701bdfd4317025700427bbbb2d494ab97ebd | Update ui.r | mmjazzar/TimeSeries_Forecasting,mmjazzar/Load_dashboard | ui.r | ui.r | library(shiny)
library(datasets)
ui <- shinyUI(fluidPage(
titlePanel("Load Forecasting Dashboard"),
tabsetPanel(
tabPanel("Upload File",
titlePanel("Uploading Files"),
sidebarLayout(
sidebarPanel(
fileInput('file1', 'Choose CSV File',
... |
library(shiny)
sidebar <- dashboardSidebar(
fileInput('file1', 'Choose CSV File',
accept=c('text/csv',
'text/comma-separated-values,text/plain',
'.csv')),
tags$hr(),
checkboxInput('header', 'Header', TRUE),
ra... | apache-2.0 | R |
2244c82057fdafaee294d1df49c768ae5e6c26e2 | fix number of workers | mschubert/clustermq,mschubert/clustermq,mschubert/clustermq | R/foreach.r | R/foreach.r | #' Register clustermq as `foreach` parallel handler
#'
#' @param ... List of arguments passed to the `Q` function, e.g. n_jobs
#' @export
register_dopar_cmq = function(...) {
info = function(data, item) {
switch(item,
name = "clustermq",
version = utils::packageVersion("cluste... | #' Register clustermq as `foreach` parallel handler
#'
#' @param ... List of arguments passed to the `Q` function, e.g. n_jobs
#' @export
register_dopar_cmq = function(...) {
info = function(data, item) {
switch(item,
name = "clustermq",
version = utils::packageVersion("cluste... | apache-2.0 | R |
8d3c0d415f68fafa41fc46e1cbc7d89e8c5776aa | correct unused R-code before deleting it | ChadFulton/statsmodels,bashtage/statsmodels,bashtage/statsmodels,statsmodels/statsmodels,jseabold/statsmodels,josef-pkt/statsmodels,bashtage/statsmodels,bashtage/statsmodels,statsmodels/statsmodels,jseabold/statsmodels,ChadFulton/statsmodels,statsmodels/statsmodels,statsmodels/statsmodels,ChadFulton/statsmodels,jseabol... | statsmodels/tsa/vecm/tests/results_R_tsDyn/tsDyn_output_generator.r | statsmodels/tsa/vecm/tests/results_R_tsDyn/tsDyn_output_generator.r | # install.packages("tsDyn") # comment in, if package is not installed yet
library(tsDyn)
dta = read.table("E6_jmulti.csv", header = FALSE, sep = " ")
det.terms <- c("co", "cc", "colt", "cclt", "colc", "cclc")
for(dt in det.terms){
det.outside.coint <- "none"
det.inside.coint <- "none"
if(grepl("co", dt)) # ... | # install.packages("tsDyn") # comment in, if package is not installed yet
library(tsDyn)
dta = read.table("E6_jmulti.csv", header = FALSE, sep = " ")
det.terms <- c("co", "cc", "colt", "cclt", "colc", "cclc")
det.outside.coint <- "none"
det.inside.coint <- "none"
for(dt in det.terms){
if(grepl("co", dt)) # pytho... | bsd-3-clause | R |
491122ea9f6e001c79764600676368cc557b38ef | Update test.r | snowch/biginsight-examples,snowch/biginsight-examples | examples/BigR/test.r | examples/BigR/test.r |
# check if lib dir exists
if("lib" %in% dir() == FALSE) {
# create directory to hold libraries
dir.create('./lib')
# install libraries
install.packages('rJava', repos='http://cran.us.r-project.org', lib='./lib', quiet=FALSE)
install.packages('base64enc', repos='http://cran.us.r-project.org'... |
# check if lib dir exists
if("./lib" %in% dir() == FALSE) {
# create directory to hold libraries
dir.create('./lib')
# install libraries
install.packages('rJava', repos='http://cran.us.r-project.org', lib='./lib', quiet=FALSE)
install.packages('base64enc', repos='http://cran.us.r-project.or... | apache-2.0 | R |
63ee73be401b5ae8c2159910bab590f61f33f62c | Remove newline at top of static bash script | jmousseau/Stain | R/slurm-bash-script.r | R/slurm-bash-script.r | #' SlurmBashScript R6 object.
#'
#' Generates the necessary bash script to submit through
#' the `sbatch` command.
SlurmBashScript <- R6::R6Class("SlurmBashScript",
public = list(
initialize = function(container, main_file, copy_back = c("*")) {
private$cat_main_file_magic(container$dir, main_fi... | #' SlurmBashScript R6 object.
#'
#' Generates the necessary bash script to submit through
#' the `sbatch` command.
SlurmBashScript <- R6::R6Class("SlurmBashScript",
public = list(
initialize = function(container, main_file, copy_back = c("*")) {
private$cat_main_file_magic(container$dir, main_fi... | mit | R |
83ef054d126fedf5b2faa22182b0badc8dd18a32 | test naming overlays | robertzk/stagerunner,syberia/stagerunner,kirillseva/stagerunner,davluangu/stagerunner,robertzk/stagerunner,davluangu/stagerunner,syberia/stagerunner | inst/tests/test-overlay.r | inst/tests/test-overlay.r | context('stageRunner overlaying')
test_that('it can overlay a simple example correctly', {
sr1 <- stageRunner$new(cx <- new.env(), list(a = function(x) x$x <- 1, b = function(y) x$x <- 3))
sr2 <- stageRunner$new(cx, list(a = function(y) y$x <- 2))
sr1$overlay(sr2)
sr1$run(1)
expect_identical(cx$x, 2)
# Ch... | context('stageRunner overlaying')
test_that('it can overlay a simple example correctly', {
sr1 <- stageRunner$new(cx <- new.env(), list(a = function(x) x$x <- 1, b = function(y) x$x <- 3))
sr2 <- stageRunner$new(cx, list(a = function(y) y$x <- 2))
sr1$overlay(sr2)
sr1$run(1)
expect_identical(cx$x, 2)
# Ch... | mit | R |
17ffef9ce57005f19f1ee16294e5c8082c58301b | Update quantile_example.r | vbelakov/h2o,100star/h2o,eg-zhang/h2o-2,h2oai/h2o-2,eg-zhang/h2o-2,100star/h2o,rowhit/h2o-2,rowhit/h2o-2,h2oai/h2o,rowhit/h2o-2,elkingtonmcb/h2o-2,eg-zhang/h2o-2,elkingtonmcb/h2o-2,100star/h2o,111t8e/h2o-2,vbelakov/h2o,rowhit/h2o-2,111t8e/h2o-2,vbelakov/h2o,rowhit/h2o-2,elkingtonmcb/h2o-2,h2oai/h2o,rowhit/h2o-2,calving... | R/examples/quantile_example.r | R/examples/quantile_example.r | # This is an example code to run Quantile function on a Hadoop Cluster
# Prior to running the R Script, launch the H2O hadoop jar on the cluster
# Detach and remove old H2O package if it exists
detach("package:h2o", unload=TRUE)
remove.packages("h2o",.libPaths())
# Install the same version of H2O from online reposito... | # This is an example code to run Quantile function on a Hadoop Cluster
# Prior to running the R Script, launch the H2O hadoop jar on the cluster
# Detach and remove old H2O package if it exists
detach("package:h2o", unload=TRUE)
remove.packages("h2o",.libPaths())
# Install the same version of H2O from online reposito... | apache-2.0 | R |
ffb4d34a9abf5922b5d064a576c4d8383be16370 | Update UTCI.r | alfcrisci/rBiometeo,alfcrisci/rBiometeo | R/UTCI.r | R/UTCI.r | #' UTCI
#'
#' Calculate Universal Thermal Climate Index ( UTCI) index.
#'
#' @param numeric t Air temperature in Celsius degrees.
#' @param numeric rh Air Relative humidity in percentage.
#' @param numeric wind Wind speed in meter per second.
#' @param numeric tr Mean radiant temperature in Celsius degrees
#' @return U... | #' UTCI
#'
#' Calculate Universal Thermal Climate Index ( UTCI) index.
#'
#' @param numeric t Air temperature in Celsius degrees.
#' @param numeric rh Air Relative humidity in percentage.
#' @param numeric wind Wind speed in meter per second.
#' @param numeric tr Mean radiant temperature in Celsius degrees
#' @return U... | mit | R |
2ee782ad0b604ac8fb4820be435d04942d8ff623 | Update 2.r | glor/R,glor/R | aufgaben/blatt02/2.r | aufgaben/blatt02/2.r | #Blatt 2
#2.1
sorte = c(rep(1,15), rep(2,12), rep(3, 20))
gewicht = c(6.22,5.75,6.4,4.6,3.25,4.5,4.8,5.88,5.8,6.1,5.58,6.01,5.62,6.72,8.55,4.28,7.7,6.4,7.77,7.37,4.2,7.05,6.45,8.93,5.9,5.94,6.39, 7.13,8.78,6.06,7.93,9.1,8,7.55,8.32,8.8,12.63,8.19,6.5,6.84,7.02,9.39,7.38,7.39,6.99,8.27,6.7)
tabelle = data.frame(So... | #Blatt 2
#2.1
sorte = c(rep(1,15), rep(2,12), rep(3, 20))
gewicht = c(6.22,5.75,6.4,4.6,3.25,4.5,4.8,5.88,5.8,6.1,5.58,6.01,5.62,6.72,8.55,4.28,7.7,6.4,7.77,7.37,4.2,7.05,6.45,8.93,5.9,5.94,6.39, 7.13,8.78,6.06,7.93,9.1,8,7.55,8.32,8.8,12.63,8.19,6.5,6.84,7.02,9.39,7.38,7.39,6.99,8.27,6.7)
tabelle = data.frame(So... | bsd-2-clause | R |
7cd57d2f43fd9665a8309acb963b21ab22121cee | Update sun_data.r | alfcrisci/rBiometeo,alfcrisci/rBiometeo | R/sun_data.r | R/sun_data.r | #' sun_data
#'
#' Calculate solar parameter for a location and a time.
#'
#' @param datetime Datetime as in "%Y-%m-%d %H:%M:%S" format
#' @param numeric lat Latitude in decimal degrees.
#' @param numeric lon Longitude in decimal degrees.
#' @param character parameter Six solar parameter are available by name "azimuth"... | #' sun_data
#'
#' Calculate solar parameter for a location and a time.
#'
#' @param datetime Datetime as in "%Y-%m-%d %H:%M:%S" format
#' @param numeric lat Latitude in decimal degrees.
#' @param numeric lon Longitude in decimal degrees.
#' @param character parameter Six solar parameter are available by name "azimuth"... | mit | R |
d7ac6c036ed3f66692231c24360b4956985106a1 | Make CLOSURE a FUNCT for closures (#2002) | rebol/rebol,codebybrett/ren-c,rgchris/ren-c,earl/r3,hostilefork/rebol,mbk/ren-c,hostilefork/rebol,hostilefork/rebol,earl/r3,draegtun/ren-c,rebol/rebol,draegtun/ren-c,draegtun/ren-c,rebolsource/r3,rebol/rebol,hostilefork/rebol,giuliolunati/ren-c,giuliolunati/ren-c,hostilefork/rebol,kealist/ren-c,rgchris/ren-c,earl/r3,rg... | src/mezz/mezz-func.r | src/mezz/mezz-func.r | REBOL [
System: "REBOL [R3] Language Interpreter and Run-time Environment"
Title: "REBOL 3 Mezzanine: Function Helpers"
Rights: {
Copyright 2012 REBOL Technologies
REBOL is a trademark of REBOL Technologies
}
License: {
Licensed under the Apache License, Version 2.0
See: http://www.apache.org/licenses/LICE... | REBOL [
System: "REBOL [R3] Language Interpreter and Run-time Environment"
Title: "REBOL 3 Mezzanine: Function Helpers"
Rights: {
Copyright 2012 REBOL Technologies
REBOL is a trademark of REBOL Technologies
}
License: {
Licensed under the Apache License, Version 2.0
See: http://www.apache.org/licenses/LICE... | apache-2.0 | R |
d372e34679663a81cb3c7b6b38a9ad6d333c4f82 | Fix typo in test case | klmr/modules,klmr/modules | inst/tests/test-operators.r | inst/tests/test-operators.r | context('Operator export test')
test_that('operators are attached by default', {
expect_false(exists('%or%'))
a = import(a)
on.exit(unload(a))
expect_true(exists('%or%'))
expect_that(1 %or% 2, equals(1))
expect_that(numeric(0) %or% 2, equals(2))
})
test_that('operator attachment can be disabl... | context('Operator export test')
test_that('operators are attached by default', {
expect_false(exists('%or%'))
a = import(a)
on.exit(unload(a))
expect_true(exists('%or%'))
expect_that(1 %or% 2, equals(1))
expect_that(numeric(0) %or% 2, equals(2))
})
test_that('operator attachment can be disabl... | apache-2.0 | R |
2a2dcaf25daa54d2945c6d489d79d3c130d55b74 | Modify plotting script to handle drop stats. | draios/falco,draios/falco,draios/falco,draios/falco,draios/falco,draios/falco,draios/falco,draios/falco | test/plot-live.r | test/plot-live.r | require(jsonlite)
library(ggplot2)
library(GetoptLong)
initial.options <- commandArgs(trailingOnly = FALSE)
file.arg.name <- "--file="
script.name <- sub(file.arg.name, "", initial.options[grep(file.arg.name, initial.options)])
script.basename <- dirname(script.name)
if (substr(script.basename, 1, 1) != '/') {
sc... | require(jsonlite)
library(ggplot2)
library(GetoptLong)
initial.options <- commandArgs(trailingOnly = FALSE)
file.arg.name <- "--file="
script.name <- sub(file.arg.name, "", initial.options[grep(file.arg.name, initial.options)])
script.basename <- dirname(script.name)
if (substr(script.basename, 1, 1) != '/') {
sc... | apache-2.0 | R |
c77c8a6369846464a6eb5c569dbe595f6e8fe108 | Update templates | hkaju/LennardJones,hkaju/LennardJones,hkaju/LennardJones | templates/energies.template.r | templates/energies.template.r | pdf("reports/results-dn{density}.pdf")
data <- read.csv("data/data-dn{density}.csv", header=T)
plot(data$t, data$T, ylim=c(-10, 10), xlab="Steps", ylab="Energy per particle", type="n", main=expression(paste("Step size ", delta, "t = {density}")))
lines(data$t, data$V, col="blue")
lines(data$t, data$T, col="black")
li... | pdf("reports/energies-dt{timestep}.pdf")
data <- read.csv("output.csv", header=T)
plot(data$t, data$T, ylim=c(-6, 6), xlab="Steps", ylab="Energy per particle", type="n", main=expression(paste("Step size ", delta, "t = {timestep}")))
lines(data$t, data$V, col="blue")
lines(data$t, data$T, col="black")
lines(data$t, da... | mit | R |
961455fd31ea60d25ae8dce2efaaab48427c5f9f | Update analiza.r | GalDrnovsek/APPR-2015-16 | analiza/analiza.r | analiza/analiza.r | # 4. faza: Analiza podatkov
library(ggplot2)
library(MASS)
library(mgcv)
library(maptools)
#prvi del
a <- ggplot(vse_skupaj1, aes(x=`GDP pc`, y=`GMs per million`)) + geom_point()
print(a)
a + geom_smooth(method = "lm")
lin1 <- lm(data = vse_skupaj1, vse_skupaj1$`GDP pc` ~ vse_skupaj1$`GMs per million`)
lin1
predict... | # 4. faza: Analiza podatkov
barve <- rainbow(length(levels(obcine[[7]])))
names(barve) <- levels(obcine[[7]])
| mit | R |
69c76c0985ff7aa35e17bb11e9f6c2277c4d3444 | fix readLong | amsa-code/risky,amsa-code/risky,amsa-code/risky,amsa-code/risky,amsa-code/risky | formats/src/test/resources/read-binary-fixes.r | formats/src/test/resources/read-binary-fixes.r | file = file("target/123456790.track","rb")
readSingle = function() readBin(file, single(), size=4, endian="big")
readInteger = function() readBin(file, integer(), size=4, endian="big")
readLong = function() {
a = readBin(file, integer(), size=4, endian="big")
b = readBin(file, integer(), size=4, endian="big")
if... | file = file("target/123456790.track","rb")
readSingle = function() readBin(file, single(), size=4, endian="big")
readInteger = function() readBin(file, integer(), size=4, endian="big")
readLong = function() {
a = readBin(file, integer(), size=4, endian="big")
b = readBin(file, integer(), size=4, endian="big")
if... | apache-2.0 | R |
54a342b9dc195da19d91ff4dd9531cd185d34013 | add test for worker number | mschubert/clustermq,mschubert/clustermq,mschubert/clustermq | tests/testthat/test-qsys.r | tests/testthat/test-qsys.r | context("qsys")
skip_on_os("windows")
test_that("control flow", {
fx = function(x) x*2
result = Q(fx, x=1:3, n_jobs=1, qsys_id="multicore")
expect_equal(result, as.list(1:3*2))
})
test_that("common data", {
fx = function(x, y) x*2 + y
result = Q(fx, x=1:3, const=list(y=10), n_jobs=1, qsys_id="mult... | context("qsys")
skip_on_os("windows")
test_that("control flow", {
fx = function(x) x*2
result = Q(fx, x=1:3, n_jobs=1, qsys_id="multicore")
expect_equal(result, as.list(1:3*2))
})
test_that("common data", {
fx = function(x, y) x*2 + y
result = Q(fx, x=1:3, const=list(y=10), n_jobs=1, qsys_id="mult... | apache-2.0 | R |
e3248f506964c2b83918eaf43a939c8509aca196 | allow var swapping | mschubert/narray,mschubert/narray | R/construct.r | R/construct.r | #' A wrapper around reshape2::acast using a more intuitive formula syntax
#'
#' The construct() function can be called either with the data.frame as the
#' first argument or the formula and then specify `data=<data.frame>`
#'
#' @param data A data frame
#' @param formula A formula: value ~ axis1 [+ axi... | #' A wrapper around reshape2::acast using a more intuitive formula syntax
#'
#' The construct() function can be called either with the data.frame as the
#' first argument or the formula and then specify `data=<data.frame>`
#'
#' @param data A data frame
#' @param formula A formula: value ~ axis1 [+ axi... | apache-2.0 | R |
22421474a068d32ee22676ff99e37c720a94dbaa | Bump ottr version | ryanlovett/datahub,berkeley-dsep-infra/datahub,berkeley-dsep-infra/datahub,ryanlovett/datahub,ryanlovett/datahub,berkeley-dsep-infra/datahub | deployments/datahub/images/default/r-packages/econ-140.r | deployments/datahub/images/default/r-packages/econ-140.r | #!/usr/bin/env Rscript
print("Installing packages for Econ 140")
source("/tmp/class-libs.R")
class_name = "Econ 140"
print("Installing ottr...")
devtools::install_github('ucbds-infra/ottr', ref='1.0.0', upgrade_dependencies=FALSE, quiet=FALSE)
print("Done installing packages for Econ 140")
| #!/usr/bin/env Rscript
print("Installing packages for Econ 140")
source("/tmp/class-libs.R")
class_name = "Econ 140"
print("Installing ottr...")
devtools::install_github('ucbds-infra/ottr', ref='0.0.1.b1', upgrade_dependencies=FALSE, quiet=FALSE)
print("Done installing packages for Econ 140")
| bsd-3-clause | R |
7698677f9c0735a5c83b17c4e0aa98138985cd1b | Remove unnecessary setup in unit tests | klmr/modules,klmr/modules | inst/tests/test-relative-import.r | inst/tests/test-relative-import.r | context('Relative imports test')
test_that('Imports are absolute by default', {
ra = import('relative_a')
expect_that(ra$a_which(), equals('/a'))
})
test_that('Relative import are always local', {
ra = import('relative_a')
expect_that(ra$local_a_which(), equals('nested/a'))
})
| context('Relative imports test')
setup = function () {
thispath = file.path(getwd(), 'modules/nested')
prev = getOption('import.path')
if (! identical(prev, thispath))
previous_import_path <<- prev
options(import.path = thispath)
}
teardown = function () {
options(import.path = previous_im... | apache-2.0 | R |
881bc344619017da98d1b4222e5ab363b000d90a | Add IBP. | jtobin/bnp | indian-buffet-process/src/ibp.r | indian-buffet-process/src/ibp.r |
ibp = function(n, a) {
dishes = max(1, rpois(1, a))
diners = data.frame(dish = seq(dishes), diners = rep(1, dishes))
buffet = list(buffet = diners, choices = list(seq(dishes)))
for (j in seq(n - 1)) {
buffet = arrival(buffet, a)
}
buffet
}
arrival = function(b, a) {
config = b$buffet
existi... | # FIXME handle sampled zero values
ibp = function(n, a) {
dishes = rpois(1, a)
diners = data.frame(dish = seq(dishes), diners = rep(1, dishes))
buffet = list(buffet = diners, choices = list(seq(dishes)))
for (j in seq(n - 1)) {
buffet = arrival(buffet, a)
}
buffet
}
arrival = function(b, a) {
... | mit | R |
c7648e3028e12f48c05fd9bb77412f07e1763db3 | update calcor.r | isezen/sahra,isezen/sahra | code/calcor.r | code/calcor.r | # Saharan Dust Transport Research
# 2016-05-04 Ismail SEZEN
# sezenismail@gmail.com
source("code/correlation.r")
source("code/filehelper.r")
calcor <- function(files = stop("'file' must be specified"), log = T) {
pm <- read_pm10()
file_prefix <- "pm_"
if (log) {
pm <- log(pm)
file_prefix <- paste0("log_... | # Saharan Dust Transport Research
# 2016-05-04 Ismail SEZEN
# sezenismail@gmail.com
source("code/correlation.r")
calcor <- function(files = stop("'file' must be specified"), log = T) {
pm <- read_pm10()
file_prefix <- "pm_"
if (log) {
pm <- log(pm)
file_prefix <- paste0("log_", file_prefix)
}
dir_ou... | mit | R |
46523e8ca86d21aa0df1b168e59075017cfc5e13 | Copy local filename series before modifying | metaeducation/ren-c-test,metaeducation/ren-c-test | run-recover.r | run-recover.r | Rebol [
Title: "Core tests run with crash recovery"
File: %run-recover.r
Copyright: [2012 "Saphirion AG"]
License: {
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the Licen... | Rebol [
Title: "Core tests run with crash recovery"
File: %run-recover.r
Copyright: [2012 "Saphirion AG"]
License: {
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the Licen... | apache-2.0 | R |
ee811543fdbb60680b22fa6478f0ac719a2aef43 | Revise author info | chuan-wang/NGI-ChIPseq,ewels/NGI-ChIPseq,ewels/NGI-ChIPseq,ewels/NGI-ChIPseq,ewels/NGI-ChIPseq,chuan-wang/NGI-ChIPseq,chuan-wang/NGI-ChIPseq,chuan-wang/NGI-ChIPseq,ewels/NGI-ChIPseq | bin/calculateNSCRSC.r | bin/calculateNSCRSC.r | #!/usr/bin/env Rscript
# R scripts for calculating NSC and RSC based on output files from phantompeakqualtools
# Version 1.0
# Author @chuan-wang https://github.com/chuan-wang
# Command line argument processing
args <- commandArgs(trailingOnly=TRUE)
# Check input args
if (length(args) != 1) {
stop("Usage: calculat... | #!/usr/bin/env Rscript
# R scripts for calculating NSC and RSC based on output files from phantompeakqualtools
# Version 1.0
# Author chuan-wang@github
# Command line argument processing
args <- commandArgs(trailingOnly=TRUE)
# Check input args
if (length(args) != 1) {
stop("Usage: calculateNSCRSC.r [ cross-correl... | mit | R |
515f711d6cda5f210b9ce6428899fdc1b77facfd | Update data_stage.r | syberia/syberia | R/data_stage.r | R/data_stage.r | #' Data stage for syberia models
#'
#' TODO: Document this more
#'
#' @param modelenv an environment. The persistent modeling environment.
#' @param munge_procedure a list. A list of mungepiece arguments,
#' first preprocessed then passed to munge.
#' @export
data_stage <- function(modelenv, munge_procedure) {
ca... | #' Data stage for syberia models
#'
#' TODO: Document this more
#'
#' @param modelenv an environment. The persistent modeling environment.
#' @param munge_procedure a list. A list of mungepiece arguments,
#' first preprocessed then passed to munge.
#' @export
data_stage <- function(modelenv, munge_procedure) {
ca... | mit | R |
5883273b8262c937a61c2fffec8396de5ca097f7 | Add more complex sbatch_dependency_list tests | jmousseau/Stain | tests/testthat/test-sbatch.r | tests/testthat/test-sbatch.r | context("sbatch")
test_that("All options are formated correctly", {
expect_equal(sbatch_opts$begin("00:00:01"), "--begin=00:00:01")
expect_equal(sbatch_opts$cpus_per_task(12), "--cpus-per-task=12")
expect_equal(sbatch_opts$mail_user("user@address"),
"--mail-user=user@address")
expect_... | context("sbatch")
test_that("All options are formated correctly", {
expect_equal(sbatch_opts$begin("00:00:01"), "--begin=00:00:01")
expect_equal(sbatch_opts$cpus_per_task(12), "--cpus-per-task=12")
expect_equal(sbatch_opts$mail_user("user@address"),
"--mail-user=user@address")
expect_... | mit | R |
cba9c8e3719b7f613014ad20f24d59ee7e72d4e5 | update ref | ryanlovett/datahub,ryanlovett/datahub,ryanlovett/datahub,berkeley-dsep-infra/datahub,berkeley-dsep-infra/datahub,berkeley-dsep-infra/datahub | deployments/datahub/images/default/r-packages/stat-20.r | deployments/datahub/images/default/r-packages/stat-20.r | #!/usr/bin/env Rscript
print("Installing packages for stat-20")
source("/tmp/class-libs.R")
class_name = "stat-20"
class_libs = c(
"tidycensus", "1.0",
"openintro", "2.2.0",
"infer", "1.0.0",
"patchwork", "1.1.1",
"tigris", "1.0",
"googlesheets4", "0.2.0",
"xaringanthemer", "0.4.0",
"... | #!/usr/bin/env Rscript
print("Installing packages for stat-20")
source("/tmp/class-libs.R")
class_name = "stat-20"
class_libs = c(
"tidycensus", "1.0",
"openintro", "2.2.0",
"infer", "1.0.0",
"patchwork", "1.1.1",
"tigris", "1.0",
"googlesheets4", "0.2.0",
"xaringanthemer", "0.4.0",
"... | bsd-3-clause | R |
01714d7a801d338e5d71aa4bdfa6c4ac56939039 | Add parallel eval. and progress bar capabilities | efcaguab/paco | R/paco_links.r | R/paco_links.r | #' Contribution of individual links
#' @param D A list returned by proc_analysis
#' @param .parallel if \code{TRUE}, calculate the jacknife contribution in parallel using the backend provided by foreach
#' @param .progress name of the progress bar to use see \code{\link[plyr]{create_progress_bar}}. Options inlcude "tex... | #' Contribution of individual links
#' @param D A list returned by proc_analysis
#' @param ... Additional arguments to be passed to PACo
#' @return A list with added object jacknife, containing the mean and upper CI values for each link
#' @export
paco_links <- function(D, ...)
{
HP.ones <- which(D$HP > 0, arr.ind=T... | mpl-2.0 | R |
97046c8e2f1d8bdbddc731cddba5a3a35198025e | allow additional args for map | mschubert/narray,mschubert/narray | R/map.r | R/map.r | #' Apply function that preserves order of dimensions
#'
#' @param X An n-dimensional array
#' @param along Along which axis to apply the function
#' @param FUN A function that maps a vector to the same length or a scalar
#' @param drop Remove unused dimensions after mapping; default: TRUE
#' @param .... | #' Apply function that preserves order of dimensions
#'
#' @param X An n-dimensional array
#' @param along Along which axis to apply the function
#' @param FUN A function that maps a vector to the same length or a scalar
#' @param drop Remove unused dimensions after mapping; default: TRUE
#' @return ... | apache-2.0 | R |
4133856001c267ec2d467c9e2353481afa0692ba | Update utci_class7.r | alfcrisci/rBiometeo,alfcrisci/rBiometeo | R/utci_class7.r | R/utci_class7.r | #' utci_class7
#'
#' Calculate seven thermal classes of Universal Thermal Climate Index UTCI index.
#'
#' @param numeric t Air temperature in Celsius degrees.
#' @param numeric rh Air Relative humidity in percentage.
#' @param numeric wind Wind speed in meter per second.
#' @param numeric tmrt Mean radiant temperatur... | #' utci_class7
#'
#' Calculate seven thermal classes of Universal Thermal Climate Index UTCI index.
#'
#' @param numeric t Air temperature in Celsius degrees.
#' @param numeric rh Air Relative humidity in percentage.
#' @param numeric wind Wind speed in meter per second.
#' @param numeric tmrt Mean radiant temperatur... | mit | R |
9ba2d78b8b87d1e65e11c3b66f671f4ef07aa9b8 | Comment out example code to not generate plot files | sushilashenoy/zoom.plot | R/extend_color_range.r | R/extend_color_range.r | #' @export
extend.color.range <- function(colors, n, weight=rep(1, length(colors)-1)) {
if ( n < length(colors) ) return ( colors )
if ( length(weight) != length(colors)-1 ) stop('Must be one fewer weights than colors.')
red.part <- strtoi(paste('0X', substring(colors, 2, 3), sep=''))/2^8
grn.part <- strtoi(... | #' @export
extend.color.range <- function(colors, n, weight=rep(1, length(colors)-1)) {
if ( n < length(colors) ) return ( colors )
if ( length(weight) != length(colors)-1 ) stop('Must be one fewer weights than colors.')
red.part <- strtoi(paste('0X', substring(colors, 2, 3), sep=''))/2^8
grn.part <- strtoi(... | mit | R |
d5acac72ca06f2ab8f9c379efeea598e405476f6 | Update server.r | aleksandrov2/APPR-2015-16 | shiny/server.r | shiny/server.r | library(shiny)
shinyServer(
server <- function(input, output) {
output$dolg <- renderPlot({
ggplot(podatki1 %>% filter(Cas == input$leto_1), aes(x = Drzava, y = Dolg, fill=Dolg)) +
scale_fill_continuous(low = "#69b8f6", high = "#142d45") +
geom_bar(stat ="identity") +
theme(axis.text.x = element_text(a... | library(shiny)
shinyServer(
server <- function(input, output) {
output$dolg <- renderPlot({
ggplot(podatki1 %>% filter(Cas == input$leto_1), aes(x = Drzava, y = Dolg, fill=Dolg)) +
scale_fill_continuous(low = "#69b8f6", high = "#142d45") +
geom_bar(stat ="identity") +
theme(axis.text.x = element_text(a... | mit | R |
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