onewaytests: One-Way Tests in Independent Groups Designs

Performs one-way tests for independent groups designs under homoscedasticity and heteroscedasticity. The tests described by Dag et al. (2018) <doi:10.32614/RJ-2018-022> include 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, and Kruskal-Wallis test. Additional tests described by Kasikci et al. (2026) <doi:10.32614/RJ-2026-014> include Scott-Smith test, Box F test, Johansen F test, generalized tests equivalent to parametric bootstrap and fiducial tests, Alvandi's F test, Alvandi's generalized p-value, approximate F test, B square test, Cochran test, Weerahandi's generalized F test, modified Brown-Forsythe test, adjusted Welch's heteroscedastic F test, Welch-Aspin test, and permutation F test. The package also provides pairwise comparisons and graphical methods, as well as Student's t test, Welch's t test, and Mann-Whitney U test for two independent samples. It assesses variance homogeneity and within-group normality using tests and plots.

Getting started

Package details

AuthorOsman Dag [aut, cre], Merve Kasikci [aut], Anil Dolgun [aut], N. Meric Konar [aut], Sam Weerahandi [aut], Malwane Ananda [aut], H. Erkin Sulekli [aut]
MaintainerOsman Dag <osman.dag@hacettepe.edu.tr>
LicenseGPL (>= 2)
Version3.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("onewaytests")

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onewaytests documentation built on Oct. 13, 2026, 5:06 p.m.