I used manova() with one predictor variable and four factor levels call them A, B, C, and D. There are 12 response variables. I now want to perform pairwise comparisons for A-B, A-C, etc. for all 12 response variables.
If I were doing an ANOVA test I would run TukeyHSD() and be done. However manova in R does not have Tukey's test or an equivalent that I know of. Online I read that at this point I should run 12 anovas and then use a Tukey's test after each ANOVA. Here is my question: Is this the best way to go about Post Hoc Testing in R after a MANOVA test? Also if this is the best path shouldn't I have some kind of familywise error correction like Bonferroni of .05/13=.0038? The post I saw said nothing about a Bonferroni correction. Thanks for the help. -- View this message in context: http://r.789695.n4.nabble.com/MANOVA-Post-Hoc-Testing-Tukeys-tp3526143p3526143.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
