The R Journal: article published in 2016, volume 8:1

Nonparametric Tests for the Interaction in Two-way Factorial Designs Using R
Jos Feys , The R Journal (2016) 8:1, pages 367-378.

Abstract An increasing number of R packages include nonparametric tests for the interaction in two-way factorial designs. This paper briefly describes the different methods of testing and reports the resulting p-values of such tests on datasets for four types of designs: between, within, mixed, and pretest-posttest designs. Potential users are advised only to apply tests they are quite familiar with and not be guided by p-values for selecting packages and tests.

Received: 2016-02-28; online 2016-07-27
CRAN packages: WRS2, nparLD, coin, lmPerm, perm, ez, boot, ART, ARTool, npIntFactRep, Rfit, StatMethRank, outliers, npsm, cocor
CRAN Task Views implied by cited CRAN packages: Survival, ClinicalTrials, Econometrics, ExperimentalDesign, Optimization, Psychometrics, Robust, SocialSciences, TimeSeries

This article is licensed under a Creative Commons Attribution 3.0 Unported license .

@article{RJ-2016-027,
  author = {Jos Feys},
  title = {{Nonparametric Tests for the Interaction in Two-way Factorial
          Designs Using R}},
  year = {2016},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2016-027},
  url = {https://doi.org/10.32614/RJ-2016-027},
  pages = {367--378},
  volume = {8},
  number = {1}
}