Package: ggcompare 0.0.3

Hao Wang

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).

Authors:Hao Wang [aut, cre]

ggcompare_0.0.3.tar.gz
ggcompare_0.0.3.tar.gz(r-4.5-noble)ggcompare_0.0.3.tar.gz(r-4.4-noble)
ggcompare_0.0.3.tgz(r-4.4-emscripten)ggcompare_0.0.3.tgz(r-4.3-emscripten)
ggcompare.pdf |ggcompare.html
ggcompare/json (API)
NEWS

# Install 'ggcompare' in R:
install.packages('ggcompare', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/hmu-wh/ggcompare/issues

Pkgdown:https://hmu-wh.github.io

1.48 score 1 stars 2 scripts 146 downloads 2 exports 28 dependencies

Last updated 12 days agofrom:1f41f23268. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 09 2024
R-4.5-linuxOKDec 09 2024

Exports:geom_bracketstat_compare

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr