Friedman Repeated-Measures Rank Test
Rank matched treatments and compare the result with its exact tiny null distribution.
Free theory articleRank matched treatments and compare the result with its exact tiny null distribution.
Concept & interpretation
The Friedman Repeated-Measures Rank Test is a non-parametric alternative to the one-way ANOVA with repeated measures. It is used to test for differences between treatments when samples are dependent or matched, such as multiple treatments administered to the same block (or subject). The exact conditional label-randomization p-value assumes treatment-label exchangeability within independent blocks, evaluating all possible within-block permutations.
Experiment
In the interactive module, you can explore the Friedman test with various dataset configurations.
- Change the Dataset to explore different levels of variation, from
Consistentwhere treatments consistently rank similarly across blocks, toAll tiedwhere there is no variation at all. - Modify the Focused block to inspect the specific ranking within an individual block.