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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 (may not be active yet) |
| 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: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): boxTest_0.1.0.tgz, r-oldrel (x86_64): boxTest_0.1.0.tgz |
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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.