Package: ggcompare
Title: Mean Comparison in 'ggplot2'
Version: 0.0.6
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
RoxygenNote: 7.3.2
Depends: R (>= 4.2.0)
Imports: ggplot2
NeedsCompilation: no
Packaged: 2026-01-31 09:50:20 UTC; 22835
Author: Hao Wang [aut, cre] (ORCID: <https://orcid.org/0009-0000-9477-9585>)
Maintainer: Hao Wang <wanghao8772@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-31 10:00:02 UTC
Built: R 4.6.0; ; 2026-04-26 07:40:12 UTC; unix
