Package: R2sample 5.0.0

R2sample: Various Methods for the Two Sample Problem

The routine twosample_test() in this package runs the two sample test using various test statistic. The p values are found via permutation or large sample theory. The routine twosample_power() allows the calculation of the power in various cases, and plot_power() draws the corresponding power graphs. The routine run.studies allows a user to quickly study the power of a new method and how it compares to some of the standard ones.

Authors:Wolfgang Rolke [aut, cre]

R2sample_5.0.0.tar.gz
R2sample_5.0.0.zip(r-4.7-x86_64)R2sample_5.0.0.zip(r-4.7-arm64)R2sample_5.0.0.zip(r-4.6-x86_64)R2sample_5.0.0.zip(r-4.6-arm64)R2sample_5.0.0.zip(r-4.5-x86_64)
R2sample_5.0.0.tgz(r-4.6-x86_64)R2sample_5.0.0.tgz(r-4.6-arm64)R2sample_5.0.0.tgz(r-4.5-x86_64)R2sample_5.0.0.tgz(r-4.5-arm64)
R2sample_5.0.0.tar.gz(r-4.7-arm64)R2sample_5.0.0.tar.gz(r-4.7-x86_64)R2sample_5.0.0.tar.gz(r-4.6-arm64)R2sample_5.0.0.tar.gz(r-4.6-x86_64)
R2sample_5.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
R2sample/json (API)

# Install 'R2sample' in R:

install.packages('R2sample', repos = c('https://wolfgangrolke.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

funs_list - Funs_list
param - Param
power_study - Power_study
pvaluecdf - Pvaluecdf

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

2.00 score 8 scripts 437 downloads 13 exports 42 dependencies

Last updated from:3097f16a9c. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	136
linux-devel-x86_64	OK	163
source / vignettes	OK	275
linux-release-arm64	OK	142
linux-release-x86_64	OK	157
macos-release-arm64	OK	270
macos-release-x86_64	OK	279
macos-oldrel-arm64	OK	212
macos-oldrel-x86_64	OK	376
windows-devel-arm64	OK	400
windows-devel-x86_64	OK	184
windows-release-arm64	OK	377
windows-release-x86_64	OK	157
windows-oldrel-x86_64	OK	146
wasm-release	OK	129

Exports:case_studies myTS_cont myTS_disc myTS2 plot_power powerR run_shiny run.studies test_methods timecheck twosample_power twosample_test twosample_test_adjusted_pvalue

Dependencies:base64enc bslib cachem cli commonmark cpp11 digest farver fastmap fontawesome fs ggplot2 glue gtable htmltools httpuv isoband jquerylib jsonlite labeling later lifecycle magrittr memoise microbenchmark mime otel promises R6 rappdirs RColorBrewer Rcpp rlang S7 sass scales shiny sourcetools vctrs viridisLite withr xtable

R2sample

Rendered fromR2sample.Rmdusingknitr::rmarkdown

Last update: 2026-09-06
Started: 2022-10-12

Help page	Topics
This function finds the p values of several tests based on large sample theory	asymptotic_pvalues
Create case studies	case_studies
This function runs the chi-square test for continuous or discrete data	chi_power
funs_list	funs_list
New test for continuous data	myTS_cont
This function runs a test for discrete data	myTS_disc
a local function needed for the vignette	myTS2
param	param
This function draws the power graph, with curves sorted by the mean power and smoothed for easier reading.	plot_power
Power for tests with p values	power_newtest
power_study	power_study
Find the power of two sample tests using Rcpp and parallel computing.	powerR
pvaluecdf	pvaluecdf
Runs the shiny app associated with R2sample package	run_shiny
Power Comparisons	run.studies
This function does some rounding to nice numbers	signif_digits
test function	timecheck
Power estimation for two-sample methods	twosample_power
Tests for the univariate two-sample problem	twosample_test
Adjusted p values for simultaneous testing in the two-sample problem.	twosample_test_adjusted_pvalue

Package: R2sample 5.0.0

R2sample: Various Methods for the Two Sample Problem

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)