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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "ggcompare" in publications use:'
type: software
license: Artistic-2.0
title: 'ggcompare: Mean Comparison in ''ggplot2'''
version: 0.0.3
doi: 10.32614/CRAN.package.ggcompare
identifiers:
- type: url
  value: https://github.com/HMU-WH/ggcompare/
abstract: 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).
authors:
- family-names: Wang
  given-names: Hao
  email: wanghao8772@gmail.com
  orcid: https://orcid.org/0009-0000-9477-9585
repository: https://CRAN.R-project.org/package=ggcompare
repository-code: https://github.com/HMU-WH/ggcompare/issues/
url: https://hmu-wh.github.io/ggcompare/
date-released: '2024-12-09'
contact:
- family-names: Wang
  given-names: Hao
  email: wanghao8772@gmail.com
  orcid: https://orcid.org/0009-0000-9477-9585