Dunn's procedure for multiple, non parametric, comparisons
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Dunn's test is the not parametric analog of Holm-Sidak multiple t-test. When you use the Kruskal-Wallis test, you know if there is a difference among your groups, but you can't apply the KWtest for each couple because the overall error is >alpha (Bonferroni inequality). By Dunn's test you can highlight where is the difference using multiple, stepdown comparisons. The algorithm requires the Statistics Toolbox.
Cite As
Giuseppe Cardillo (2026). Dunn's test (https://github.com/dnafinder/dunn), GitHub. Retrieved .
General Information
- Version 2.0.0.0 (18.1 KB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
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- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 2.0.0.0 | inputparser; table implementation; github link |
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| 1.6.0.0 | Changes in description |
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| 1.5.0.0 | Correct the pointing to the N vector |
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| 1.4.0.0 | fixed an error in the computation of denom in Qvalue. |
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| 1.3.0.0 | Logical indexing improved |
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| 1.1.0.0 | Changes in help section |
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| 1.0.0.0 | Improvement in input error handling |
