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The R Journal

Publication date: 2016-08-01
Pages: 367 - 378
Publisher: R Foundation for Statistical Computing

Author:

Feys, Jos

Keywords:

nonparametric interaction test, Science & Technology, Technology, Physical Sciences, Computer Science, Interdisciplinary Applications, Statistics & Probability, Computer Science, Mathematics, RANK-TESTS, 0104 Statistics, 0803 Computer Software, 4612 Software engineering, 4905 Statistics

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.