ggcompare-package: ggcompare: Mean Comparison in 'ggplot2'

In ggcompare: Mean Comparison in 'ggplot2'

ggcompare: Mean Comparison in 'ggplot2'

Description

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).

Author(s)

Maintainer: Hao Wang [e-mail] (ORCID)

See Also

Useful links:

• https://hmu-wh.github.io/ggcompare/

• https://github.com/HMU-WH/ggcompare/

• Report bugs at https://github.com/HMU-WH/ggcompare/issues/

ggcompare documentation built on April 3, 2025, 10:19 p.m.