<html><head><meta http-equiv="Content-Type" content="text/html charset=us-ascii"><meta http-equiv="Content-Type" content="text/html charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class="">Hi All,<div class=""><br class=""></div><div style="text-align: justify; widows: 1;" class="">After reading the wiki (<a href="http://www.fieldtriptoolbox.org/faq/how_can_i_test_an_interaction_effect_using_cluster-based_permutation_tests" class="">http://www.fieldtriptoolbox.org/faq/how_can_i_test_an_interaction_effect_using_cluster-based_permutation_tests</a>), it appears that I cannot do a cluster based permutation test on a set of data I have because of the fact that I have two between subject factors (genotype and sex). There has been a lot of discussion on the mailing list about how to run these kinds of analyses, but they have always (or at least what I could find), been about data set containing only 1 between subjects factor. As such, I have a question in two parts A) could I look at the data with a proper test of the between subject factors, and the within subject factor AND their interaction <b class="">using a permutation test that use holms or bonferroni correction</b> (though I would probably use holms because of bonferroni being to conservative) B) <b class="">should I set this up by either i) testing geno, sex and their interaction separately like I think the wiki suggests above or ii) try and use the </b><span style="text-align: justify; white-space: pre-wrap; widows: 1; background-color: rgb(247, 249, 250);" class=""><b class="">cfg.cvar input as previously suggested else where on this discussion list</b> (though again that was for data with only 1 between subject </span><span style="white-space: pre-wrap;" class="">variable)?</span></div><div style="text-align: justify; widows: 1;" class=""><span style="white-space: pre-wrap;" class=""><br class=""></span></div><div style="text-align: justify; widows: 1;" class=""><span style="white-space: pre-wrap;" class="">Best,</span></div><div style="text-align: justify; widows: 1;" class=""><span style="white-space: pre-wrap;" class="">Russ Port</span></div><div class=""><br class=""></div></body></html>