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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:0.5.0
Depends:R (≥ 4.1)
Imports:rcompanion,FSA,car,dplyr, stats, utils,rlang
Suggests:MASS,ARTool,testthat (≥ 3.0.0),knitr,rmarkdown,haven
Published:2025-11-01
DOI:10.32614/CRAN.package.factorH
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 + fileLICENSE
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_0.5.0.tar.gz
Windows binaries: r-devel:factorH_0.5.0.zip, r-release:factorH_0.5.0.zip, r-oldrel:factorH_0.5.0.zip
macOS binaries: r-release (arm64):factorH_0.5.0.tgz, r-oldrel (arm64):factorH_0.5.0.tgz, r-release (x86_64):factorH_0.5.0.tgz, r-oldrel (x86_64):factorH_0.5.0.tgz
Old sources: factorH archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=factorHto link to this page.


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