Onewaytests: An R package for one-way tests in independent groups designs

Dag, O, Dolgun, N and Konar, N 2018, 'Onewaytests: An R package for one-way tests in independent groups designs', The R Journal, vol. 10, no. 1, pp. 175-199.


Document type: Journal Article
Collection: Journal Articles

Title Onewaytests: An R package for one-way tests in independent groups designs
Author(s) Dag, O
Dolgun, N
Konar, N
Year 2018
Journal name The R Journal
Volume number 10
Issue number 1
Start page 175
End page 199
Total pages 25
Publisher Technische Universitaet Wien
Abstract One-way tests in independent groups designs are the most commonly utilized statistical methods with applications on the experiments in medical sciences, pharmaceutical research, agriculture, biology, engineering, social sciences and so on. In this paper, we present the onewaytests package to investigate treatment effects on the dependent variable. The package offers the one-way tests in independent groups designs, which include ANOVA, Welch's heteroscedastic F test, Welch's heteroscedastic F test with trimmed means andWinsorized variances, Brown-Forsythe test, Alexander- Govern test, James second order test and Kruskal-Wallis test. The package also provides pairwise comparisons, graphical approaches, and assesses variance homogeneity and normality of data in each group via tests and plots. A simulation study is also conducted to give recommendations for applied researchers on the selection of appropriate one-way tests under assumption violations. Furthermore, especially for non-R users, a user-friendly web application of the package is provided. This application is available at http://www.softmed.hacettepe.edu.tr/onewaytests.
Subject Applied Statistics
Keyword(s) rejective multiple test
false discovery rate
ANOVA
nonnormality
approximation
statistics
equality
sizes
Copyright notice © 2018 This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.
ISSN 2073-4859
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