mult_comp_perm_t2(d​ata1,data2,n_perm,t​ail,alpha_level,mu,​t_stat,reports,seed​_state)

Version 1.2.0.0 (15,9 ko) par David Groppe
Independent sample t-statistic based permutation test; corrects for multiple comparisons
5.0
(2)
503 téléchargements
Mise à jour 15 mars 2018

Afficher la licence

Independent sample permutation test based one of three t-statistics (equal variance, Welch's t, t_dif). This function can perform the test on one variable or simultaneously on multiple variables. When applying the test to multiple variables, the "tmax" method is used for adjusting the p-values of each variable for multiple comparisons (Blair & Karnisky, 1993; Westfall & Young, 1993). Like Bonferroni correction, this method adjusts p-values in a way that strongly controls the family-wise error rate. However, the permutation method will be more powerful than Bonferroni correction when different variables in the test are correlated.

Citation pour cette source

David Groppe (2024). mult_comp_perm_t2(data1,data2,n_perm,tail,alpha_level,mu,t_stat,reports,seed_state) (https://www.mathworks.com/matlabcentral/fileexchange/54585-mult_comp_perm_t2-data1-data2-n_perm-tail-alpha_level-mu-t_stat-reports-seed_state), MATLAB Central File Exchange. Extrait(e) le .

Compatibilité avec les versions de MATLAB
Créé avec R2014b
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux

Community Treasure Hunt

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

Start Hunting!

Version Publié le Notes de version
1.2.0.0

Welch's t added as a possible test statistic. This is somewhat robust to differences in variance between the groups being tested and is almost as powerful as the standard pooled variance t-statistic when variances are equal between groups.
1.1.0.0

RandStream now called correctly for most recent versions of MATLAB when seed state is needed.
1.0.0.0