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boxTest  

Boxplot and Significance Test for Two Groups
View on CRAN: Click here


Download and install boxTest package within the R console
Install from CRAN:
install.packages("boxTest")

Install from Github:
library("remotes")
install_github("cran/boxTest")

Install by package version:
library("remotes")
install_version("boxTest", "0.1.0")



Attach the package and use:
library("boxTest")
Maintained by
Arkaprabha Sau
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-01
Latest Update: 2025-10-01
Description:
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.
How to cite:
Arkaprabha Sau (2025). boxTest: Boxplot and Significance Test for Two Groups. R package version 0.1.0, https://cran.r-project.org/web/packages/boxTest. Accessed 16 Jul. 2026.
Previous versions and publish date:
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Complete documentation for boxTest
Functions, R codes and Examples using the boxTest R package
Full boxTest package functions and examples
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