One-way Analysis with Permutation Test31-01-2019 0 Comment(s)
Permutation tests are non-parametric tests that do not assume normally-distributed errors. However, these tests may assume that distributions have similar variance or shape to be interpreted as a test of means.
A one-way anova using permutation tests can be performed with the coin package. A post-hoc analysis can be conducted with pairwise permutation tests analagous to pairwise t-tests. This can be accomplished with the functions pairwisePermutationTest and pairwisePermutationMatrix in the rcompanion package, which rely on the independence_test function in the coin package.
For more information on permutation tests available in the coin package, see:
Consult the chapters on One-way Anova and Kruskal–Wallis Test for general consideration about conducting analysis of variance.
The following commands will install these packages if they are not already installed:
No Comments to Show