factorH: Multifactor Nonparametric Rank-Based ANOVA with Post Hoc Tests

Multifactor nonparametric analysis of variance based on ranks. Builds on the Kruskal-Wallis H test and its 2x2 Scheirer-Ray-Hare extension to handle any factorial designs. Provides effect sizes, Dunn-Bonferroni pairwise-comparison matrices, and simple-effects analyses. Tailored for psychology and the social sciences, with beginner-friendly R syntax and outputs that can be dropped into journal reports. Includes helpers to export tab-separated results and compact tables of descriptive statistics (to APA-style reports).

Version: 0.4.0
Depends: R (≥ 4.1)
Imports: rcompanion, FSA, car, dplyr, stats, utils, rlang
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, haven
Published: 2025-09-11
Author: Tomasz Rak [aut, cre], Szymon Wrzesniowski [aut]
Maintainer: Tomasz Rak <tomasz.rak at upjp2.edu.pl>
Contact: tomasz.rak@upjp2.edu.pl
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: factorH results

Documentation:

Reference manual: factorH.html , factorH.pdf
Vignettes: factorH: datasets (source, R code)
factorH: intro (source, R code)
factorH: functions reference (source, R code)
factorH: syntax (source, R code)

Downloads:

Package source: factorH_0.4.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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