Package: ggcompare Title: Mean Comparison in 'ggplot2' Version: 0.0.6.9000 Authors@R: person("Hao", "Wang", email = "wanghao8772@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0009-0000-9477-9585")) 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). License: Artistic-2.0 URL: https://hmu-wh.github.io/ggcompare/, https://github.com/HMU-WH/ggcompare/ BugReports: https://github.com/HMU-WH/ggcompare/issues/ Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 Depends: R (>= 4.2) Imports: ggplot2 Suggests: knitr, rmarkdown VignetteBuilder: knitr Repository: https://hmu-wh.r-universe.dev Date/Publication: 2026-08-29 07:51:18 UTC RemoteUrl: https://github.com/hmu-wh/ggcompare RemoteRef: HEAD RemoteSha: 299da3bbc9e0897e654dfb4a047f8f27165d2aa4 NeedsCompilation: no Packaged: 2026-09-28 10:03:38 UTC; root Author: Hao Wang [aut, cre] (ORCID: ) Maintainer: Hao Wang