The R Journal: article published in 2018, volume 10:1

onewaytests: An R Package for One-Way Tests in Independent Groups Designs
Osman Dag, Anil Dolgun and Naime Meric Konar , The R Journal (2018) 10:1, pages 175-199.

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, agri culture, 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 and Winsorized 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.

Received: 2017-06-14; online 2018-05-21, supplementary material, (1.1 KiB)
CRAN packages: onewaytests, onewaytests, stats

This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2018-022,
  author = {Osman Dag and Anil Dolgun and Naime Meric Konar},
  title = {{onewaytests: An R Package for One-Way Tests in Independent
          Groups Designs}},
  year = {2018},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2018-022},
  url = {https://doi.org/10.32614/RJ-2018-022},
  pages = {175--199},
  volume = {10},
  number = {1}
}