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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | boxTest_0.1.0.tar.gz |
23.1 KiB |
0.1.0 |
rolling linux/noble R-4.5 | boxTest_0.1.0.tar.gz |
23.0 KiB |
0.1.0 |
rolling source/ R- | boxTest_0.1.0.tar.gz |
14.0 KiB |
0.1.0 |
latest linux/jammy R-4.5 | boxTest_0.1.0.tar.gz |
23.1 KiB |
0.1.0 |
latest linux/noble R-4.5 | boxTest_0.1.0.tar.gz |
23.0 KiB |
0.1.0 |
latest source/ R- | boxTest_0.1.0.tar.gz |
14.0 KiB |
0.1.0 |
2026-04-26 source/ R- | boxTest_0.1.0.tar.gz |
14.0 KiB |
0.1.0 |
2026-04-23 source/ R- | boxTest_0.1.0.tar.gz |
14.0 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | boxTest_0.1.0.zip |
26.9 KiB |