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 |
|---|---|---|---|---|---|
5c1de0beac3cad397f6e628b4ab7eccc5147a4ba | WeichenXu123/spark | R/pkg/R/WindowSpec.R | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 9,482 | apache-2.0 |
5c1de0beac3cad397f6e628b4ab7eccc5147a4ba | witgo/spark | R/pkg/R/WindowSpec.R | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 9,482 | apache-2.0 |
5c1de0beac3cad397f6e628b4ab7eccc5147a4ba | shaneknapp/spark | R/pkg/R/WindowSpec.R | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 9,482 | apache-2.0 |
5c1de0beac3cad397f6e628b4ab7eccc5147a4ba | nchammas/spark | R/pkg/R/WindowSpec.R | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 9,482 | apache-2.0 |
5c1de0beac3cad397f6e628b4ab7eccc5147a4ba | holdenk/spark | R/pkg/R/WindowSpec.R | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 9,482 | apache-2.0 |
7cc53014d22ffea86c931da54f5d6325829c7708 | jeffreyhorner/R-Judy-Arrays | tests/internet2.R | ## These are tests that require socket and internet functionality, and
## a working Internet connection.
## We attempt to test for those.
if(!capabilities()["http/ftp"]) {
warning("no internet capabilities")
q()
}
if(.Platform$OS.type == "unix" &&
is.null(nsl("cran.r-project.org"))) q()
## check graceful... | 2,066 | gpl-2.0 |
7cc53014d22ffea86c931da54f5d6325829c7708 | o-/Rexperiments | tests/internet2.R | ## These are tests that require socket and internet functionality, and
## a working Internet connection.
## We attempt to test for those.
if(!capabilities()["http/ftp"]) {
warning("no internet capabilities")
q()
}
if(.Platform$OS.type == "unix" &&
is.null(nsl("cran.r-project.org"))) q()
## check graceful... | 2,066 | gpl-2.0 |
7cc53014d22ffea86c931da54f5d6325829c7708 | hadley/r-source | tests/internet2.R | ## These are tests that require socket and internet functionality, and
## a working Internet connection.
## We attempt to test for those.
if(!capabilities()["http/ftp"]) {
warning("no internet capabilities")
q()
}
if(.Platform$OS.type == "unix" &&
is.null(nsl("cran.r-project.org"))) q()
## check graceful... | 2,066 | gpl-2.0 |
7cc53014d22ffea86c931da54f5d6325829c7708 | cmosetick/RRO | R-src/tests/internet2.R | ## These are tests that require socket and internet functionality, and
## a working Internet connection.
## We attempt to test for those.
if(!capabilities()["http/ftp"]) {
warning("no internet capabilities")
q()
}
if(.Platform$OS.type == "unix" &&
is.null(nsl("cran.r-project.org"))) q()
## check graceful... | 2,066 | gpl-2.0 |
5c1de0beac3cad397f6e628b4ab7eccc5147a4ba | HyukjinKwon/spark | R/pkg/R/WindowSpec.R | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 9,482 | apache-2.0 |
5c1de0beac3cad397f6e628b4ab7eccc5147a4ba | hvanhovell/spark | R/pkg/R/WindowSpec.R | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 9,482 | apache-2.0 |
7cc53014d22ffea86c931da54f5d6325829c7708 | ChiWang/r-source | tests/internet2.R | ## These are tests that require socket and internet functionality, and
## a working Internet connection.
## We attempt to test for those.
if(!capabilities()["http/ftp"]) {
warning("no internet capabilities")
q()
}
if(.Platform$OS.type == "unix" &&
is.null(nsl("cran.r-project.org"))) q()
## check graceful... | 2,066 | gpl-2.0 |
d75c382d49854a7aee2c1fece6129c19a464c426 | SimonYansenZhao/wskm | package/R/fgkm.R | fgkm <- function(x, centers, groups, lambda, eta, maxiter=100, delta=0.000001, maxrestart=10,seed=-1)
{
if (missing(centers))
stop("the number or initial clusters 'centers' must be provided")
if(seed<=0){
seed <-runif(1,0,10000000)[1]
}
vars <- colnames(x)
nr <-nrow(x) # nrow() return a integer ... | 3,194 | gpl-2.0 |
5c1de0beac3cad397f6e628b4ab7eccc5147a4ba | rednaxelafx/apache-spark | R/pkg/R/WindowSpec.R | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 9,482 | apache-2.0 |
7cc53014d22ffea86c931da54f5d6325829c7708 | RevolutionAnalytics/RRO | R-src/tests/internet2.R | ## These are tests that require socket and internet functionality, and
## a working Internet connection.
## We attempt to test for those.
if(!capabilities()["http/ftp"]) {
warning("no internet capabilities")
q()
}
if(.Platform$OS.type == "unix" &&
is.null(nsl("cran.r-project.org"))) q()
## check graceful... | 2,066 | gpl-2.0 |
5c1de0beac3cad397f6e628b4ab7eccc5147a4ba | gengliangwang/spark | R/pkg/R/WindowSpec.R | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 9,482 | apache-2.0 |
7cc53014d22ffea86c931da54f5d6325829c7708 | jagdeesh109/RRO | R-src/tests/internet2.R | ## These are tests that require socket and internet functionality, and
## a working Internet connection.
## We attempt to test for those.
if(!capabilities()["http/ftp"]) {
warning("no internet capabilities")
q()
}
if(.Platform$OS.type == "unix" &&
is.null(nsl("cran.r-project.org"))) q()
## check graceful... | 2,066 | gpl-2.0 |
7cc53014d22ffea86c931da54f5d6325829c7708 | jeffreyhorner/R-Array-Hash | tests/internet2.R | ## These are tests that require socket and internet functionality, and
## a working Internet connection.
## We attempt to test for those.
if(!capabilities()["http/ftp"]) {
warning("no internet capabilities")
q()
}
if(.Platform$OS.type == "unix" &&
is.null(nsl("cran.r-project.org"))) q()
## check graceful... | 2,066 | gpl-2.0 |
5c1de0beac3cad397f6e628b4ab7eccc5147a4ba | ueshin/apache-spark | R/pkg/R/WindowSpec.R | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 9,482 | apache-2.0 |
5c1de0beac3cad397f6e628b4ab7eccc5147a4ba | zzcclp/spark | R/pkg/R/WindowSpec.R | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 9,482 | apache-2.0 |
5c1de0beac3cad397f6e628b4ab7eccc5147a4ba | apache/spark | R/pkg/R/WindowSpec.R | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 9,482 | apache-2.0 |
64aa0e7d903369ba4cad6b5be10205964e7c2491 | EvansSchoolPolicyAnalysisAndResearch/eparTextTools | demo.docs.R | #' This is data to be included in my package
#'
#' @name demo.docs
#' @docType data
#' @author Ryan Scott \email{ryscott@uw.edu}
#' @keywords data
NULL
demo.docs<-read.csv("demodoc_links.csv",stringsAsFactors=FALSE)
demo.docs<-demo.docs$links
if(file.exists("demo.docs.folder")==FALSE){dir.create("demo.docs.folder")}
d... | 622 | bsd-3-clause |
ba004ba7b47443134c34ec94692367df223a3540 | robertzk/rum | R/rum-package.R | #' Stubbing and mocking for R.
#'
#' The rum packages aims to provide extra testing capabilities.
#' Specifically, functions like \code{expect_receives} and
#' \code{expect_called} are introduced that ensure a given
#' function is called, possibly with specific parameters.
#'
#' This is very useful if you wish to, for ... | 586 | mit |
5ede15db50ad665b37ffa7b34b6961e9db938907 | englianhu/binary.com-interview-question | 实验室/sarima_wk_dy.R | rm(list = ls())
setwd('C:/Users/User/Documents/GitHub/binary.com-interview-question')
if(!suppressPackageStartupMessages(require('BBmisc'))) {
install.packages('BBmisc', dependencies = TRUE, INSTALL_opts = '--no-lock')
}
suppressPackageStartupMessages(require('BBmisc'))
# suppressPackageStartupMessages(require('rms... | 4,969 | gpl-3.0 |
559daa1b95cfc40c9945127a3e597d79be79e279 | johnlees/R_plots | pairs_p_value.R | # 429 mutations observed total
# 2000kb genome => 429/2000 mutations per kb
# 2000 genes to correct for multiple testing
df <- as.data.frame(matrix(0,ncol=3,nrow=11*3))
i <- 0
for (gene_len in c(1,4,10)) {
for (mutations in seq(0,10)) {
df[i*11 + mutations+1,3] = paste(gene_len,"kb",sep='')
df[i*11 + mutatio... | 909 | gpl-2.0 |
a602c037bd296711d549773e9c49fd1f226fbcc8 | klashgari/courses | data-science/complete.R |
Global.BasePath <- "~/edu/courses/data-science"
#
# usage: complete("specdata", 1:10)
#
complete <- function(directory, id = 1:332) {
## 'directory' is a character vector of length 1 indicating
## the location of the CSV files
## 'id' is an integer vector indicating the monitor ID numbers
## to be used
... | 1,231 | apache-2.0 |
52da48ee71271225d6fa2d470cbfbb447b5bb877 | francescojm/OT_15_libraries_and_pipelines | Pipelines/previous pipelines/OT15.PL_01.DataImport_and_processing.R |
print('PipeLine-01: Data Import and processing')
### Creating Manifest Data Object and raw counts dataset for low level qc assessment
source('Pipelines/OT15._0_Preamble.R')
source('Libraries/OT15.Packages_and_preamble.R')
source('Libraries/OT15.DataImport_and_processing.R')
PS_inventory<-OT15.Check_countFiles_and_b... | 1,937 | mit |
5c190f27be5db3addf64500664b15fcd524940a8 | droglenc/FSA | tests/plottests/lwCompPredsPlot.R | # add log length and weight data to ChinookArg data
ChinookArg$logtl <- log(ChinookArg$tl)
ChinookArg$logwt <- log(ChinookArg$w)
# fit model to assess equality of slopes
lm1 <- lm(logwt~logtl*loc,data=ChinookArg)
anova(lm1)
# set graphing parameters so that the plots will look decent
op <- par(mar=c(3.5,3.5,1,1),mgp=c... | 2,187 | gpl-2.0 |
559daa1b95cfc40c9945127a3e597d79be79e279 | johnlees/paired-samples | R_plots/pairs_p_value.R | # 429 mutations observed total
# 2000kb genome => 429/2000 mutations per kb
# 2000 genes to correct for multiple testing
df <- as.data.frame(matrix(0,ncol=3,nrow=11*3))
i <- 0
for (gene_len in c(1,4,10)) {
for (mutations in seq(0,10)) {
df[i*11 + mutations+1,3] = paste(gene_len,"kb",sep='')
df[i*11 + mutatio... | 909 | gpl-2.0 |
49ce724d9863b072f7b2856d5b7905838d99001e | boydorr/RDiversity | R/relativeentropy.R | #' Calculate relative entropy
#'
#' Functions to coerce an object into a \code{relativeentropy}
#' (\code{raw_beta()} and/or \code{norm_beta()}).
#'
#' @param results \code{data.frame} containing rdiversity outputs associated
#' with \code{raw_beta()} and/or \code{norm_beta()}
#' @param meta object of class \code{metac... | 3,887 | bsd-2-clause |
aa7a71560bfe48039ff25d418e92c6764a7e26f9 | gabonNRI/gabontreedata | R/plotSpecificHeights.R | computePlotSpecificHeights <- function(dat) {
# {data: [ { "Tag": "3407", "D": 40.8, "MH": 15.4, EH: <result> }], function: <string function>}
# dat <- read.csv("nri-p005-trees.csv", header = T, na.string = "null" )
library(BIOMASS)
## Step 1 - Calculate best height model for each stand
# Compute models fo... | 3,101 | apache-2.0 |
381f39ef6cb5461aba672b4928c281ed28b2e377 | ivanhigueram/deforestation_app | models_and_data/regress_web.R |
# Create dataframes for regressions
############################
rm(list=ls())
library(data.table)
library(rgdal)
library(rgeos)
library(stringr)
library(plyr)
library(dplyr)
library(magrittr)
library(foreign)
# Leonardo
# setwd("C:/Users/lbonilme/Dropbox/CEER v2/Papers/Deforestacion/")
# Ivan
setwd("~/Dropbox/BAN... | 2,523 | mit |
194486874a0546517ec3670d9e208021377773d3 | SMRUCC/GCModeller | GCModeller/R/Pairwise-WeirCockerhams-FST/Geneclust/R/tablecst.R | tablecst <-
function (pathtable, npopmax, coordinates, matngh, stepval = 0.02,
nit.table = 20000, stepw.table = 10, burnin.table = 10000,
plot = TRUE, write = FALSE)
{
psimax <- 1
nindiv <- nrow(coordinates)
tabpsi <- seq(0, psimax, 0.1)
tabval <- seq(0, psimax, stepval)
n <- length(tabps... | 1,810 | gpl-3.0 |
ee9b4e051810de9944beb6b7b0a990dafd410dfa | rmaso/spanish-PM-text-mining | 3. Graficos.R | # File-Name: 3. Graficos.R
# Date: 2015-09-04
# Author: Rubén Masó
# Email: ruben@maso.es
# Purpose: Create the diferent graphics for the analysis
# *
# Data Used: Data frame
# Packages Used:
# Output File:
#... | 4,924 | gpl-3.0 |
194486874a0546517ec3670d9e208021377773d3 | amethyst-asuka/GCModeller | GCModeller/R/Pairwise-WeirCockerhams-FST/Geneclust/R/tablecst.R | tablecst <-
function (pathtable, npopmax, coordinates, matngh, stepval = 0.02,
nit.table = 20000, stepw.table = 10, burnin.table = 10000,
plot = TRUE, write = FALSE)
{
psimax <- 1
nindiv <- nrow(coordinates)
tabpsi <- seq(0, psimax, 0.1)
tabval <- seq(0, psimax, stepval)
n <- length(tabps... | 1,810 | gpl-3.0 |
b169aff45c1ad05c5afd38828c218b6f3cf7e761 | dbk138/ImageRegionRecognition-FrontEnd | app/python/MinMax.R | args <- commandArgs(trailingOnly = TRUE)
d <- read.table(args[1],header=TRUE, sep=",")
x <- tapply ( d$val, d$key, args[2])
format ( x, nsmall=5,scientific=FALSE )
write.csv(x, file = args[3]) | 192 | mit |
d672c73f6c251d5e256d02021ecf754e135558ed | mooreaw/blogdown_source | static/data/idaho-inflow/analyze-acs-county-inflow.R | library(tidyverse)
library(readxl)
library(tidycensus)
library(gt)
library(ggtext)
library(scales)
# get idaho ACS pop data --------------------------------------------------
# id_pop <- 2009:2019 %>%
# map_df(~get_acs("county", variables = "B01001_001", year = ., state = "Idaho"), .id = "year") %>%
# mutate(year... | 5,732 | gpl-3.0 |
194486874a0546517ec3670d9e208021377773d3 | xieguigang/GCModeller | GCModeller/R/Pairwise-WeirCockerhams-FST/Geneclust/R/tablecst.R | tablecst <-
function (pathtable, npopmax, coordinates, matngh, stepval = 0.02,
nit.table = 20000, stepw.table = 10, burnin.table = 10000,
plot = TRUE, write = FALSE)
{
psimax <- 1
nindiv <- nrow(coordinates)
tabpsi <- seq(0, psimax, 0.1)
tabval <- seq(0, psimax, stepval)
n <- length(tabps... | 1,810 | gpl-3.0 |
ecd5795cd6be293b8d51b6f07399f76c7e3d69fb | aaronsw/torperf | plot_results.R | ### Copyright 2007 Steven J. Murdoch
### See LICENSE for licensing information
UFACTOR = 1e6
## Subtract to timevals, maintaining precision
todelta <- function(startsec, startusec, tsec, tusec) {
tsec[tsec == 0] <- NA
dsec <- tsec - startsec
dusec <- tusec - startusec
return(dsec*UFACTOR + dusec)
}
parsedat... | 4,355 | bsd-3-clause |
e8f1325c25e7943fbbb9705c7803ede62e5e58e4 | brockk/poisson | PackageConstruction.R | ############################Package Construction################################################
package.skeleton(name="poisson",code_files="poisson.R") #create initial folder containing package requirements
| 215 | gpl-2.0 |
d5d4c5b2ebe236908f88458efa61a6d62944cd83 | jgabry/QMSS_in_R | Code/Quantitative Analytic Techniques/22_MonteCarlo_polya_balancing.R | #=================================================================#
#====== MONTE CARLO SIMULATION: POLYA & BALANCING PROCESSES ======#
#=================================================================#
# Author: Jonah Gabry (jsg2201@columbia.edu)
# Written using R version 3.1.1 on Mac OS X 10.9.3
# Suppose we have... | 2,668 | mit |
4ec689098e1d3a087bcdffe241dd54add014dff3 | DannyArends/CTLmapping | examples/BXD/cheatGN207.R |
### Setup
setwd("D:/Github/CTLmapping/examples/BXD/data") # Where is the data ?
source("../whichGroup.R")
library(ctl)
### Selected genes
highImpact <- read.table("genes.txt", sep="\t")
### Genotypes
genotypes <- read.table("BXD.geno",sep="\t", skip = 6, header =TRUE, row.names = 2, na.strings = c("U", "H"),... | 2,252 | gpl-3.0 |
2d47fcbbfb64b2514ce9ef09805bdf27fb879db9 | krupanss/Interactive-Exploratory-Data-Analysis | R/server_4BiVariateBox.R | # ************************************Bi Variate Box Plot************************************
# **************************Select Inputs**************************
output$BoxMeasure = renderUI({
selectInput("BoxMeasure", "Select Measure",
c(selectdata()$FeatureValue[which(selectdata()$FeatureName == ... | 1,412 | gpl-3.0 |
55b925e96147b9f921c5b708d458b893ab51134b | tijoseymathew/mlr | tests/testthat/test_base_impute.R | context("impute")
test_that("Impute data frame", {
data = data.frame(f = letters[c(1, 1, 1, 1, 2)], x = rep(1., 5), y = c(1, 2, 3, 3, 4), z = NA)
target = "z"
data[6, ] = NA
# median
imputed = impute(data, target = target, cols = list(x = imputeMedian(), y = imputeMedian()))$data
expect_equal(imputed$x[6]... | 9,398 | bsd-2-clause |
925d2fba3748a9688d193003290158d9a374b954 | SMRUCC/GCModeller | src/workbench/R#/demo/regprecise/save_promoter2gbk.R | imports "TRN.builder" from "phenotype_kit";
imports ["annotation.genbank_kit", "annotation.genomics_context", "annotation.workflow"] from "seqtoolkit";
let regions = "K:\20200226\20200516_gbk\X101SC19112292-Z01-J001_result\res.txt"
:> readText
:> as.promoter.models
:> lapply(a => a, names = a => as.object(a)$locus_tag... | 2,126 | gpl-3.0 |
925d2fba3748a9688d193003290158d9a374b954 | xieguigang/GCModeller | src/workbench/R#/demo/regprecise/save_promoter2gbk.R | imports "TRN.builder" from "phenotype_kit";
imports ["annotation.genbank_kit", "annotation.genomics_context", "annotation.workflow"] from "seqtoolkit";
let regions = "K:\20200226\20200516_gbk\X101SC19112292-Z01-J001_result\res.txt"
:> readText
:> as.promoter.models
:> lapply(a => a, names = a => as.object(a)$locus_tag... | 2,126 | gpl-3.0 |
55b925e96147b9f921c5b708d458b893ab51134b | vinaywv/mlr | tests/testthat/test_base_impute.R | context("impute")
test_that("Impute data frame", {
data = data.frame(f = letters[c(1, 1, 1, 1, 2)], x = rep(1., 5), y = c(1, 2, 3, 3, 4), z = NA)
target = "z"
data[6, ] = NA
# median
imputed = impute(data, target = target, cols = list(x = imputeMedian(), y = imputeMedian()))$data
expect_equal(imputed$x[6]... | 9,398 | bsd-2-clause |
925d2fba3748a9688d193003290158d9a374b954 | SMRUCC/GCModeller.Workbench | R#/demo/regprecise/save_promoter2gbk.R | imports "TRN.builder" from "phenotype_kit";
imports ["annotation.genbank_kit", "annotation.genomics_context", "annotation.workflow"] from "seqtoolkit";
let regions = "K:\20200226\20200516_gbk\X101SC19112292-Z01-J001_result\res.txt"
:> readText
:> as.promoter.models
:> lapply(a => a, names = a => as.object(a)$locus_tag... | 2,126 | gpl-3.0 |
3dfbe4a0a867cdfdc5a5974af0bf87b2f3922d88 | JuKa87/OpenMx | R/MxExpectationNormal.R | #
# Copyright 2007-2015 The OpenMx Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 25,777 | apache-2.0 |
fd5684b23bebe8b81d5afe231a82d8ebbf7b1f5d | tylermorganwall/skpr | R/contr.simplex.R | #'@title Orthonormal Contrast Generator
#'
#'@description Generates orthonormal (orthogonal and normalized) contrasts. Each row is the vertex of an N-dimensional simplex. The only exception are contrasts for the 2-level case, which return 1 and -1.
#'
#'@param n The number of levels in the catagorical variable. If this... | 1,169 | gpl-3.0 |
bd887b5971a7a9eb00c18a0c9af7af01c8735187 | LiyangQin/Biostat-578 | checkallpkgs.R | # ----------------------------------------------------------------------
# checkallpkgs.R
# ----------------------------------------------------------------------
#
# This script attempts to find all of the R packages used in all
# of the R presentation files in the current working folder and then
# attempts to instal... | 3,667 | cc0-1.0 |
61a7a7f8157a7e7a63b333b0a6b12c566852cee6 | derek-damron/transform | tests/testthat/test_rescale_3_minmax.R | context('Rescale - type="minmax"')
x <- c(NA, 1:5, NA, 6:10, NA)
# Min/max input
minmax_min <- -5
minmax_max <- 7
# Function outputs
out_minmax <- rescale(x, 'minmax', min=minmax_min, max=minmax_max)
# Round to two decimal places for identical checks
out_minmax <- round(out_minmax, 2)
# Expected outputs
exact_minm... | 519 | gpl-3.0 |
629ad5d929818241e0b51600566a725753b2251c | cheerzzh/R_for_Quantitative_Finance | rate-analysis/INR266/stochastic-volatility-model-fit.R | # test stochastic volatility model
| 38 | mit |
4de0936af240f5d75229b69412fbd96dd16d9c10 | OHDSI/JCdmBuilder | man/SampleDatabase.R | library(DatabaseConnector)
library(SqlRender)
dbms <- "pdw"
user <- NULL
pw <- NULL
server <- "JRDUSAPSCTL01"
port <- 17001
schema <- "CDM_Truven_MDCD_V521"
outputFolder <- "s:/data/MdcdSample"
connectionDetails <- DatabaseConnector::createConnectionDetails(dbms = dbms,
... | 1,603 | apache-2.0 |
e5f3e66810876239f5b53e80a851e6b879a578d0 | jacliu3/stat159-proj2 | code/scripts/olsregression-script.R | # Set seed to project default
set.seed(123)
# Load scaled credit data
scaled <- read.csv('data/scaled-credit.csv', header = T)
scaled$X <- NULL
# Applying regression model
ols.fit <- lm(formula = Balance ~ ., data = scaled)
ols.sum <- summary(ols.fit)
# Saving fitted models
save(ols.fit, ols.sum, file = ... | 614 | apache-2.0 |
629ad5d929818241e0b51600566a725753b2251c | WealthCity/R_for_Quantitative_Finance | rate-analysis/INR266/stochastic-volatility-model-fit.R | # test stochastic volatility model
| 38 | mit |
d215a39d9cffc3eb33204eeaac3f2038c0273305 | marburg-open-courseware/msc-c2015 | src/tnauss/modis_lsp/getExtension.R | getExtension <- function(dataFormat,...)
{
if(toupper(dataFormat) %in% c("HDF-EOS","HDF4IMAGE")) # MRT + GDAL
{
return(".hdf")
} else if (toupper(dataFormat) %in% c("GTIFF","GEOTIFF")) # MRT + GDAL
{
return(".tif")
} else if (tolower(dataFormat) =="raw binary") # MRT + GDAL
{
return(".hdr")
... | 1,175 | gpl-3.0 |
60d1a13fe46480c84fcf33de149d7d06252b71fc | pedrocostaferreira/BETS | R/draw.misery_index.R | #' @title Create a chart of the Base Interest Rate (SELIC) time series
#'
#' @description Creates a plot of series 4189
#'
#' @return An image file is saved in the 'graphs' folder, under the BETS installation directory.
#' @importFrom zoo as.Date
#' @importFrom grDevices rgb
#' @import plotly
#' @author Talitha Sp... | 2,718 | gpl-3.0 |
84ad427dfaff68026a5a67b73df28148e86344e0 | aranryan/arlodr | R/days_in.R |
#' return days in month
#'
#' I modified so you can set leap_impact equal 0 to help with str data
#'
#' @param d
#' @param leap_impact
#'
#' @return
#' @export
#'
#' @examples
#' days_in_month("2014-11-25")
days_in_month <- function(d = Sys.Date(), leap_impact=1){
m = substr((as.character(d)),6,7) ... | 932 | mit |
bd887b5971a7a9eb00c18a0c9af7af01c8735187 | Temerson0/Biostat-578 | checkallpkgs.R | # ----------------------------------------------------------------------
# checkallpkgs.R
# ----------------------------------------------------------------------
#
# This script attempts to find all of the R packages used in all
# of the R presentation files in the current working folder and then
# attempts to instal... | 3,667 | cc0-1.0 |
168b327e7f213fff7a6d764276ab423f2d7e83b8 | torebre/abcProject | tests/testthat/testToySampleGeneration.R | context("Toy sample generation")
test_that("Correct number of samples are generated", {
toy.example.setup <- smcToyExample()
SampleFunction <- toy.example.setup[["SampleFunction"]]
sample.generated <- SampleFunction(c(0.2, 0.3), 2)
expect_equal(length(sample.generated), 2)
expect_equal(length(sample.generat... | 385 | mit |
bd887b5971a7a9eb00c18a0c9af7af01c8735187 | c5sire/Biostat-578 | checkallpkgs.R | # ----------------------------------------------------------------------
# checkallpkgs.R
# ----------------------------------------------------------------------
#
# This script attempts to find all of the R packages used in all
# of the R presentation files in the current working folder and then
# attempts to instal... | 3,667 | cc0-1.0 |
629ad5d929818241e0b51600566a725753b2251c | jond3k/R_for_Quantitative_Finance | rate-analysis/INR266/stochastic-volatility-model-fit.R | # test stochastic volatility model
| 38 | mit |
a1a7b4bb8782673c83c0939fd3b1f5b82e3f68fb | ousuga/reldist | R/IW.R | #' @name IW
#'
#' @title
#' The Inverse Weibull Distribution
#'
#' @description
#' Density, distribution function, quantile function,
#' random generation and hazard function for the inverse weibull distribution with
#' parameters \code{alpha} and \code{theta}.
#'
#' @param x,q vector of quantiles.
#' @param p ve... | 4,443 | gpl-2.0 |
d8176a6736a1bd5bc475a1219027a3a094cc9577 | Jean-Romain/lidR | R/las_tools.R | #' LAS utilities
#'
#' Tools to manipulate LAS objects maintaining compliance with
#' \href{https://www.asprs.org/wp-content/uploads/2019/07/LAS_1_4_r15.pdf}{ASPRS specification}
#'
#' In the specification of the LAS format the coordinates are expected to be given
#' with a certain precision e.g. 0.01 for a millimeter ... | 8,511 | gpl-3.0 |
86e61b9693860ccd0e3f83f150c41a93338cc8b2 | krlmlr/cxxr | src/extra/testr/filtered-test-suite/isexpression/tc_isexpression_1.R | expected <- eval(parse(text="FALSE"));
test(id=0, code={
argv <- eval(parse(text="list(c(20L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 19L, 19L, 19L, 20L, 20L, 20L, 19L, 20L, 19L, 19L, 19L, 20L))"));
do.call(`is.expression`, argv);
}, o=expected);
| 303 | gpl-2.0 |
86e61b9693860ccd0e3f83f150c41a93338cc8b2 | rho-devel/rho | src/extra/testr/filtered-test-suite/isexpression/tc_isexpression_1.R | expected <- eval(parse(text="FALSE"));
test(id=0, code={
argv <- eval(parse(text="list(c(20L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 19L, 19L, 19L, 20L, 20L, 20L, 19L, 20L, 19L, 19L, 19L, 20L))"));
do.call(`is.expression`, argv);
}, o=expected);
| 303 | gpl-2.0 |
50335d10098648eb709954a9a8970eb23acaf76a | NLMichaud/nimble | packages/nimble/R/MCMC_run.R | #' Run one or more chains of an MCMC algorithm and extract samples
#'
#' Takes as input an MCMC algorithm (ideally a compiled one for speed)
#' and runs the MCMC with one or more chains, automatically extracting
#' the samples.
#'
#' @param mcmc A NIMBLE MCMC algorithm. See details.
#'
#' @param niter Number of iterat... | 5,923 | bsd-3-clause |
3374153e7fa4e600b6d2a02d78dda62dd22b6292 | FESOM/spheRlab | R/sl.circle.R | sl.circle <-
function (lon, lat, radius, resolution = 1, repeat.first = TRUE) {
if (sl.dim(lon) != 1 || sl.dim(lat) != 1 || sl.dim(radius) != 1) {stop("all arguments must be single scalars")}
lats = 90-radius
lons = seq(0,360,resolution)
N = length(lons)
if (lons[N] == 360) {lons = lons[1:N]}
abg =... | 639 | gpl-3.0 |
86e61b9693860ccd0e3f83f150c41a93338cc8b2 | kmillar/cxxr | src/extra/testr/filtered-test-suite/isexpression/tc_isexpression_1.R | expected <- eval(parse(text="FALSE"));
test(id=0, code={
argv <- eval(parse(text="list(c(20L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 19L, 19L, 19L, 20L, 20L, 20L, 19L, 20L, 19L, 19L, 19L, 20L))"));
do.call(`is.expression`, argv);
}, o=expected);
| 303 | gpl-2.0 |
86e61b9693860ccd0e3f83f150c41a93338cc8b2 | kmillar/rho | src/extra/testr/filtered-test-suite/isexpression/tc_isexpression_1.R | expected <- eval(parse(text="FALSE"));
test(id=0, code={
argv <- eval(parse(text="list(c(20L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 19L, 19L, 19L, 20L, 20L, 20L, 19L, 20L, 19L, 19L, 19L, 20L))"));
do.call(`is.expression`, argv);
}, o=expected);
| 303 | gpl-2.0 |
86e61b9693860ccd0e3f83f150c41a93338cc8b2 | ArunChauhan/cxxr | src/extra/testr/filtered-test-suite/isexpression/tc_isexpression_1.R | expected <- eval(parse(text="FALSE"));
test(id=0, code={
argv <- eval(parse(text="list(c(20L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 19L, 19L, 19L, 20L, 20L, 20L, 19L, 20L, 19L, 19L, 19L, 20L))"));
do.call(`is.expression`, argv);
}, o=expected);
| 303 | gpl-2.0 |
365ca3431e19662e100daf5c98573f988cb35d41 | NGSchool2016/ngschool2016-materials | chip_seq/.R_library/3.3/BiocGenerics/unitTests/test_updateObject.R | ###
test_updateObject_list <- function()
{
setClass("A",
representation(x="numeric"), prototype(x=1:10),
where=.GlobalEnv)
a <- new("A")
l <- list(a,a)
checkTrue(identical(l, updateObject(l)))
setMethod("updateObject", "A",
function(object, ..., verbose=FALS... | 3,480 | gpl-3.0 |
86e61b9693860ccd0e3f83f150c41a93338cc8b2 | cxxr-devel/cxxr | src/extra/testr/filtered-test-suite/isexpression/tc_isexpression_1.R | expected <- eval(parse(text="FALSE"));
test(id=0, code={
argv <- eval(parse(text="list(c(20L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 19L, 19L, 19L, 20L, 20L, 20L, 19L, 20L, 19L, 19L, 19L, 20L))"));
do.call(`is.expression`, argv);
}, o=expected);
| 303 | gpl-2.0 |
5204dd2c406523fdfecc0923c305bff6ddfe5fe8 | mabotech/mabo.task | py/jobs0527/jobs/tasks/graphs/report_worktime_monthly.R | null | 2,117 | mit |
2300f2de3a954671d0bfc88eb3de6d6662ff09f6 | vinaywv/mlr | tests/testthat/test_stack.R | context("stack")
checkStack = function(task, method, base, super, bms.pt, sm.pt, use.feat) {
base = lapply(base, makeLearner, predict.type = bms.pt)
if (method %in% c("average", "hill.climb")) {
super = NULL
} else {
super = makeLearner(super, predict.type = sm.pt)
# sm.pt = NULL
}
if (method == ... | 3,746 | bsd-2-clause |
5a13df6af13a1c8b654d97e221d4a4f83af6ee10 | kgoldfeld/simstudy | R/RcppExports.R | # Generated by using Rcpp::compileAttributes() -> do not edit by hand
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393
matMultinom <- function(probmatrix) {
.Call(`_simstudy_matMultinom`, probmatrix)
}
markovChains <- function(nchains, P, chainLen, state0) {
.Call(`_simstudy_markovChains`, nchains, P, ... | 798 | gpl-3.0 |
cb974aa7a94154a17ea0c13449fcd4f92defea66 | galder-max/GSEAlite | R/computeES.lists.R | computeES.lists<-function(m, o, lG, metric)
{
lS<-get(paste("snr.",metric,sep=""))(m,o)
res<-lapply(lG,function(x)
{
lleading.edge(rownames(m)%in%x,lS)
})
return(res)
} | 259 | gpl-3.0 |
2300f2de3a954671d0bfc88eb3de6d6662ff09f6 | tijoseymathew/mlr | tests/testthat/test_stack.R | context("stack")
checkStack = function(task, method, base, super, bms.pt, sm.pt, use.feat) {
base = lapply(base, makeLearner, predict.type = bms.pt)
if (method %in% c("average", "hill.climb")) {
super = NULL
} else {
super = makeLearner(super, predict.type = sm.pt)
# sm.pt = NULL
}
if (method == ... | 3,746 | bsd-2-clause |
e76605be36565d2fa067d66468a384c5a3888cb6 | ProjectTw/TwitteR2Mongo | R/dateOperation.R | #' Top Hashtags in intervall
#'
#' Retrives the most used hashtags in a given time interval
#'
#' @param mongo a mongoDB connection to use (default: hometimeline)
#' @param interval a time interval which can be generated by \link{getInterval} needs to be in unix timestamp format
#' @param amount limits the number of ha... | 5,442 | gpl-3.0 |
7d020d877a3393590e6d6d95b821a446a3dc94af | richarddmorey/responseToHoijtink | utility.R | ## Richard D. Morey
## January 2015
## Functions added April 2015 for paper v2
## Included for some functions related to
## arithmetic with logarithms
library(BayesFactor)
## Find d1 such that alpha=beta for given N
d1_from_error = Vectorize(function(error, N){
critt = qt(1-error/2, N-1)
optimize(function(delta)... | 5,463 | mit |
dd9d3c384f9e03f4d58b8a791502933651217653 | bedatadriven/renjin | tests/src/test/R/test.norm.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... | 1,085 | gpl-2.0 |
7b0cb73933391a9c9a6256f2f42479502307b752 | hbc/CHBUtils | R/rleoutliers.R | #' Cel file IDs of intensity RLE outlier arrays (in characters).
#'
#' @param eset AffyBatch
#' @param logtransform Boolean, log transform data before processing?
#' @return character vector of arrays (CEL file IDs) that are outliers for intensity boxplots.
#' @seealso \code{\link{arrayQualityMetrics}} which this funct... | 897 | mit |
ea29fddfc3f40ea9dc4f5a935da5f5916a3f293a | StatsWithR/statsr | R/ci_two_mean_theo.R | ci_two_mean_theo <- function(y, x, conf_level, y_name, x_name,
show_var_types, show_summ_stats, show_res,
show_eda_plot, show_inf_plot){
# calculate n1 and n2
ns <- by(y, x, length)
n1 <- as.numeric(ns[1])
n2 <- as.numeric(ns[2])
# calculate y-ba... | 2,484 | mit |
7b0cb73933391a9c9a6256f2f42479502307b752 | hjanime/CHBUtils | R/rleoutliers.R | #' Cel file IDs of intensity RLE outlier arrays (in characters).
#'
#' @param eset AffyBatch
#' @param logtransform Boolean, log transform data before processing?
#' @return character vector of arrays (CEL file IDs) that are outliers for intensity boxplots.
#' @seealso \code{\link{arrayQualityMetrics}} which this funct... | 897 | mit |
9808ebbd1ae77021ec30c7ce3cba26a5c424497a | PirateGrunt/raw_las | scripts/12_AdvancedModeling.R | ## ------------------------------------------------------------------------
library(ggplot2)
set.seed(1234)
numGroups <- 5
numClaims <- 10
N <- numClaims * numGroups
x <- rnorm(N, 1000, 300)
link <- 1.5
groupVals <- rnorm(numGroups, mean = link, sd = .05 * link)
names(groupVals) <- head(letters, numGroups)
links <- sa... | 5,618 | gpl-3.0 |
0b9244ea5db712d11ab8ed940a12714bc4d778bd | NCIP/stats-analysis-server | R_source/HC_samples.R | ###########################################################################################
# File: HC_samples.R
# Description: R module for higher order analysis tools - hierarchical clustering
# Author: Huaitian Liu
# Date: August 2005
##################################################################################... | 1,184 | bsd-3-clause |
e75c8bf7c13cc2d6bf5f45e69895a7571c7e2e1e | mjsmith037/mjsmith037.github.io | talks/ESA_08.2018/Code/simmat_figures.R | source("plotting_functions.R")
library(vegan)
library(tidyverse)
library(stringr)
library(mnormt)
normalize <- function(mat) apply(mat, 2, function(col) (col - mean(col)) / sd(col))
equal_spacing <- function(n, first, last) seq(first, last, length.out=n+1) %>% head(-1)
constant <- function(n, value, filler_variable)... | 21,666 | mit |
50f9683250350fb53d14adacde76c07bd5470bfe | bioShaun/OMrnaseq | rnaseq/modules/enrichment/download_kegg.R | library(KEGGREST)
library(png)
args<-commandArgs(T)
spe <- args[1]
all_data_dir <- args[2]
database_dir <- paste(all_data_dir,spe,sep = '/')
if (! dir.exists(database_dir)) { dir.create(database_dir) }
spe_pathinfo<-keggList("pathway", spe)
spe_pathid_info <- names(spe_pathinfo)
spe_pathid <- strsplit(spe_... | 646 | gpl-3.0 |
2864350cb06bda37facce2dfca31d50ec7b7d495 | nuest/containerit | R/LabelSchemaFactory.R | # Copyright 2018 Opening Reproducible Research (https://o2r.info)
#' Create Build-time labels according to Label Schema Convention
#'
#' This is a convenience function that generates method for conveniently creating metadata-labels with arguments according to schema version 1.0.0-rc.1
#'
#' For details about the Label... | 3,052 | gpl-3.0 |
a49836dc0460e103e23d99f2a7664995fae601a8 | gaoyuanjun/SHINYstan | inst/SHINYstan/server_files/utilities/extract_shiny_stan_object.R | # Extract the content of the shiny_stan_object slots
object <- shiny_stan_object
samps_all <- object@samps_all
sampler_params <- object@sampler_params
nIter <- object@nIter
nChains <- object@nChains
warmup_val <- object@nWarmup
samps_post_warmup <- samps_all[(warmup_val + 1):nIter,,]
fit_summary <- object@summary
param... | 349 | mit |
5f7cf6133df6cee25081244d934bcb1ec32d0006 | terrytangyuan/reticulate | R/pickle.R |
#' Save and load Python objects with pickle
#'
#' @param object Object to save
#' @param filename File name
#' @param pickle The implementation of pickle to use (defaults to "pickle" but
#' could e.g. also be "cPickle")
#' @param ... Optional arguments to be passed to the `load()` function defined
#' by the assoc... | 910 | apache-2.0 |
67399743b190dfaaab988d02e7e15a23eccacd72 | environmentalinformatics-marburg/Rsenal | R/createTimeSeries.R | #' create a regular time series
#'
#' @description
#' This function will create a (empty) character time series.
#' This can be used for creating regular time series of real-world observations
#' that have missing data via merging.
#'
#' @param start character string of starting date and time. Needs to be of
#' for... | 1,610 | gpl-3.0 |
14b2a8baf803b68bfac648b408b10ce12705fd0d | abhin4v/combinatorrent | tools/visualize_stats.R | #R sparklines
sparkline<-function(ydata=rnorm(100,500,50),width=1.5,height=0.5,sigfigs=4) {
# ydata = vector of data to be plotted
# width = width of sparlkline in inches, including text
# height = height of sparkline in inches
# sigfigs = number of significant figures to round min, max, and last values to
te... | 2,931 | bsd-2-clause |
d248c8cbf38e345613adf7e8994d74b494704278 | dankelley/oce-issues | 11xx/1149/1149a.R | rm(list=ls())
library(oce)
d <- read.odf('CTD_98911_10P_11_DN.ODF')
| 69 | gpl-2.0 |
0b7e957e4aaf81a569cd9ed0a437d56b39a91ed9 | alberto-p/kpax2 | kpax2/R/logpp.R | ###############################################################################
#
# K-Pax2 - Bayesian Cluster Analysis of Categorical Data
#
# Copyright (c) 2014 Alberto Pessia <alberto.pessia@gmail.com>
#
# K-Pax2 is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public Li... | 6,193 | gpl-3.0 |
14b2a8baf803b68bfac648b408b10ce12705fd0d | beni55/combinatorrent | tools/visualize_stats.R | #R sparklines
sparkline<-function(ydata=rnorm(100,500,50),width=1.5,height=0.5,sigfigs=4) {
# ydata = vector of data to be plotted
# width = width of sparlkline in inches, including text
# height = height of sparkline in inches
# sigfigs = number of significant figures to round min, max, and last values to
te... | 2,931 | bsd-2-clause |
1b3a8fc7c8e2430451f937ee1a5cb80cd5940d40 | ilarischeinin/plows-from-hel | server.R | library(dplyr)
library(jsonlite)
library(leaflet)
library(leaflet.extras)
library(lubridate)
library(shiny)
library(stringr)
init_routes <- function() {
url <- "http://dev.hel.fi/aura/v1/snowplow/"
download_routes <- function(since="1days+ago") {
plows <- fromJSON(paste0(url, "?since=", since))
lapply(plow... | 4,741 | mit |
cc97711eb5db4410d5f57bcb6d4ec1d9c04bfafd | nielsrhansen/ppstat | pkg/R/registerParBackend.R | registerParBackend <- function(backend = 'mc', cores = NULL) {
if(!(class(cores) %in% c("NULL", "numeric")))
stop("Argument 'cores' must be numeric or NULL")
## This checks if the paralle package is installed and if the GUI is
## appropriate for using this backend for parallel computations.
if(backend ==... | 1,217 | gpl-2.0 |
14b2a8baf803b68bfac648b408b10ce12705fd0d | jlouis/combinatorrent | tools/visualize_stats.R | #R sparklines
sparkline<-function(ydata=rnorm(100,500,50),width=1.5,height=0.5,sigfigs=4) {
# ydata = vector of data to be plotted
# width = width of sparlkline in inches, including text
# height = height of sparkline in inches
# sigfigs = number of significant figures to round min, max, and last values to
te... | 2,931 | bsd-2-clause |
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