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) 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) 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.


Reference manual

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install.packages("onewaytests")

3.2 by Osman Dag, 11 days ago


Browse source code at https://github.com/cran/onewaytests


Authors: Osman Dag [aut, cre] , Merve Kasikci [aut] , Anil Dolgun [aut] , N. Meric Konar [aut] , Sam Weerahandi [aut] , Malwane Ananda [aut] , H. Erkin Sulekli [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports stats, moments, car, ggplot2, nortest, graphics, utils, wesanderson

Suggests AID, tibble, testthat


Imported by BioPred, twowaytests.

Suggested by AID.


See at CRAN