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boxTest: Boxplot and Significance Test for Two Groups

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 + fileLICENSE
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:boxTest results

Documentation:

Reference manual:boxTest.html ,boxTest.pdf
Vignettes:Introduction to boxTest (source,R code)

Downloads:

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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=boxTestto link to this page.


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