MyFriedman

versión 2.0.0.0 (17.4 KB) por Giuseppe Cardillo
Friedman test for non parametric two way ANalysis Of VAriance

2,6K descargas

Actualizada 14 Apr 2018

De GitHub

Ver licencia en GitHub

The Friedman test is a non-parametric statistical test developed by the U.S. economist Milton Friedman. Similar to the parametric repeated measures ANOVA, it is used to detect differences in treatments across multiple test attempts. The procedure involves ranking each row (or block) together, then considering the values of ranks by columns. Applicable to complete block designs, it is thus a special case of the Durbin test. The Friedman test is used for two-way repeated measures analysis of variance by ranks. In its use of ranks it is similar to the Kruskal-Wallis one-way analysis of variance by ranks. When the number of blocks or treatments is large the probability distribution can be approximated by chi-square or F distribution. If n or k is small, the approximation to chi-square becomes poor and the p-value should be obtained from tables of Q specially prepared for the Friedman test. The MatLab function FRIEDMAN only uses the chi-square approximation. On the contrary, MYFRIEDMAN uses the exact distribution for small size samples and chi-square and F distribution for large sample size. If the p-value is significant, a post-hoc multiple comparisons.

Created by Giuseppe Cardillo
giuseppe.cardillo-edta@poste.it

To cite this file, this would be an appropriate format: Cardillo G. (2009). MYFRIEDMAN: Friedman test for non parametric two way ANalysis Of VAriance http://www.mathworks.com/matlabcentral/fileexchange/25882

Citar como

Giuseppe Cardillo (2022). MyFriedman (https://github.com/dnafinder/myfriedman), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2014b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Para consultar o informar de algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o informar de algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.