Example 1 | New Tests | Arguments and output of new test routine for continuous data | Example 2 | New Test | Arguments and output of new test routine for discrete data | Permutation Method | Parametric Bootstrap | Example 3 | The Testing Methods | The Arguments of twosample_test | The Output of twosample_test | shiny app | twosample_power and plot_power | Example 4 | The Arguments of twosample_power | Example 5 | Example 6 | Adjusted p values for Several Tests | Case Studies | References
Package: R2sample 4.1.0
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:
R2sample_4.1.0.tar.gz
R2sample_4.1.0.zip(r-4.7-x86_64)R2sample_4.1.0.zip(r-4.6-x86_64)R2sample_4.1.0.zip(r-4.5-x86_64)
R2sample_4.1.0.tgz(r-4.6-x86_64)R2sample_4.1.0.tgz(r-4.6-arm64)R2sample_4.1.0.tgz(r-4.5-x86_64)R2sample_4.1.0.tgz(r-4.5-arm64)
R2sample_4.1.0.tar.gz(r-4.7-arm64)R2sample_4.1.0.tar.gz(r-4.7-x86_64)R2sample_4.1.0.tar.gz(r-4.6-arm64)R2sample_4.1.0.tar.gz(r-4.6-x86_64)
R2sample_4.1.0.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')) |
Datasets:
- power_studies_results - Power_studies_results
- pvaluecdf - Pvaluecdf
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:b8b1bfbc22. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 166 | ||
| linux-devel-x86_64 | OK | 179 | ||
| source / vignettes | OK | 265 | ||
| linux-release-arm64 | OK | 188 | ||
| linux-release-x86_64 | OK | 160 | ||
| macos-release-arm64 | OK | 127 | ||
| macos-release-x86_64 | OK | 240 | ||
| macos-oldrel-arm64 | OK | 120 | ||
| macos-oldrel-x86_64 | OK | 272 | ||
| windows-devel | OK | 155 | ||
| windows-release | OK | 164 | ||
| windows-oldrel | OK | 139 | ||
| wasm-release | OK | 140 |
Exports:myTS2plot_powerpowerRrun_shinyrun.studiestest_methodstimechecktwosample_powertwosample_testtwosample_test_adjusted_pvalue
Dependencies:base64encbslibcachemclicommonmarkcpp11digestfarverfastmapfontawesomefsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlifecyclemagrittrmemoisemicrobenchmarkmimeotelpromisesR6rappdirsRColorBrewerRcpprlangS7sassscalesshinysourcetoolsvctrsviridisLitewithrxtable
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| This function finds the p values of several tests based on large sample theory | asymptotic_pvalues |
| This function creates the functions needed to run the various case studies. | case.studies |
| This function runs the chi-square test for continuous or discrete data | chi_power |
| a local function needed for the vignette | myTS2 |
| 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_studies_results | power_studies_results |
| 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 |
