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 |
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) |
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 |
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