onewaytests: One-Way Tests in Independent Groups Designs

Performs one-way tests in independent groups designs including homoscedastic and heteroscedastic tests. These are one-way analysis of variance (ANOVA), Welch's heteroscedastic F test, Welch's heteroscedastic F test with trimmed means and Winsorized variances, Brown-Forsythe test, Alexander-Govern test, James second order test, Kruskal-Wallis test, Scott-Smith test, Box F test and Johansen F test, Generalized tests equivalent to Parametric Bootstrap and Fiducial tests. The package performs pairwise comparisons and graphical approaches. Also, the package includes Student's t test, Welch's t test and Mann-Whitney U test for two samples. Moreover, it assesses variance homogeneity and normality of data in each group via tests and plots (Dag et al., 2018, <>).

Version: 2.6
Depends: R (≥ 3.2.0)
Imports: stats, moments, car, ggplot2, nortest, graphics, utils
Suggests: AID, tibble
Published: 2021-04-22
Author: Osman Dag [aut, cre], Anil Dolgun [aut], N. Meric Konar [aut], Sam Weerahandi [ctb], Malwane Ananda [ctb]
Maintainer: Osman Dag <osman.dag at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: onewaytests results


Reference manual: onewaytests.pdf
Package source: onewaytests_2.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): onewaytests_2.6.tgz, r-release (x86_64): onewaytests_2.6.tgz, r-oldrel: onewaytests_2.6.tgz
Old sources: onewaytests archive

Reverse dependencies:

Reverse imports: twowaytests
Reverse suggests: AID


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