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, 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, Permutation F test. 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, < https://journal.r-project.org/archive/2018/RJ-2018-022/RJ-2018-022.pdf>).


Reference manual

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install.packages("onewaytests")

3.1 by Osman Dag, a year 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