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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: factorH_0.4.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): factorH_0.4.0.tgz, r-oldrel (x86_64): factorH_0.4.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=factorH to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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