Dunn's test
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.
Citation pour cette source
Giuseppe Cardillo (2024). Dunn's test (https://github.com/dnafinder/dunn), GitHub. Récupéré le .
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Industrial Statistics >
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Version | Publié le | Notes de version | |
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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 |