[1][2][3] Similar to the parametric repeated measures ANOVA, it is used to detect differences in treatments across multiple test attempts.
Applicable to complete block designs, it is thus a special case of the Durbin test.
Classic examples of use are: The Friedman test is used for one-way repeated measures analysis of variance by ranks.
Not all statistical packages support post-hoc analysis for Friedman's test, but user-contributed code exists that provides these facilities (for example in SPSS,[10] and in R.[11]).
The R package titled PMCMRplus contains numerous non-parametric methods for post-hoc analysis after Friedman,[12] including support for the Nemenyi test.