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).

Package details

AuthorHao Wang [aut, cre] (<https://orcid.org/0009-0000-9477-9585>)
MaintainerHao Wang <wanghao8772@gmail.com>
LicenseArtistic-2.0
Version0.0.3
URL https://hmu-wh.github.io/ggcompare/ https://github.com/HMU-WH/ggcompare/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ggcompare")

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