The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Provides functions to create side-by-side boxplots for a continuous variable grouped by a two-level categorical variable, check normality assumptions using the Shapiro-Wilk test (Shapiro and Wilk (1965) <doi:10.2307/2333709>), and perform appropriate statistical tests such as the independent two-sample t-test (Student (1908) <doi:10.1093/biomet/6.1.1>) or the Mann–Whitney U test ( Mann–Whitney (1947) <doi:10.1214/aoms/1177730491>). Returns a publication-ready plot and test statistics including test statistic, degrees of freedom, and p-value.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | ggplot2, dplyr, stats, rlang |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2025-10-01 |
| DOI: | 10.32614/CRAN.package.boxTest |
| Author: | Arkaprabha Sau [aut, cre], Santanu Phadikar [aut], Ishita Bhakta [aut] |
| Maintainer: | Arkaprabha Sau <arka.doctor at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | boxTest results |
| Reference manual: | boxTest.html , boxTest.pdf |
| Vignettes: |
Introduction to boxTest (source, R code) |
| Package source: | boxTest_0.1.0.tar.gz |
| Windows binaries: | r-devel: boxTest_0.1.0.zip, r-release: boxTest_0.1.0.zip, r-oldrel: boxTest_0.1.0.zip |
| macOS binaries: | r-release (arm64): boxTest_0.1.0.tgz, r-oldrel (arm64): boxTest_0.1.0.tgz, r-release (x86_64): boxTest_0.1.0.tgz, r-oldrel (x86_64): boxTest_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=boxTest to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.