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One-way Analysis with Permutation Test

31-01-2019  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:


help(package="coin")


Consult the chapters on One-way Anova and Kruskal–Wallis Test for general consideration about conducting analysis of variance. 
 

Examples in Summary and Analysis of Extension Program Evaluation


 

The following commands will install these packages if they are not already installed:


if(!require(coin)){install.packages("coin")}
if(!require(FSA)){install.packages("FSA")}
if(!require(rcompanion)){install.packages("rcompanion")}
if(!require(multcompView)){install.packages("multcompView")}

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