ggcompare
Mean Comparison in 'ggplot2'
Add mean comparison annotations to a 'ggplot'. This package provides an easy way to indicate if two or more groups are significantly different in a 'ggplot'. Usually you do not need to specify the test method, you only need to tell stat_compare() whether you want to perform a parametric test or a nonparametric test, and stat_compare() will automatically choose the appropriate test method based on your data. For comparisons between two groups, the p-value is calculated by t-test (parametric) or Wilcoxon rank sum test (nonparametric). For comparisons among more than two groups, the p-value is calculated by One-way ANOVA (parametric) or Kruskal-Wallis test (nonparametric).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.6 |
rolling source/ R- | ggcompare_0.0.6.tar.gz |
57.7 KiB |
0.0.6 |
rolling linux/jammy R-4.5 | ggcompare_0.0.6.tar.gz |
137.8 KiB |
0.0.6 |
latest source/ R- | ggcompare_0.0.6.tar.gz |
57.7 KiB |
0.0.6 |
latest linux/jammy R-4.5 | ggcompare_0.0.6.tar.gz |
137.8 KiB |
0.0.6 |
2026-04-23 source/ R- | ggcompare_0.0.6.tar.gz |
57.7 KiB |
0.0.6 |
2026-04-09 windows/windows R-4.5 | ggcompare_0.0.6.zip |
140.4 KiB |
0.0.3 |
2025-04-20 source/ R- | ggcompare_0.0.3.tar.gz |
57.2 KiB |