....inclusion of repeated measures of course should gain power, but here I guess one would have to restrict permutations and that's what may reduce power drastically if sample size is small, at least that's how I understood it. I have also dug out a thread where someone asked for random factors in adonis() and that's quite the same topic, I think. Gavin answered that function permuted.Index2() would serve - but still I don't know how to do it practically.. There is one of my postings in the r forge vegan forum that handles the same problem with sampling design for beta.disper() and if it turns out that in both cases the key is permuted.Index2() this thread may be redundant.
Greetings, Kay -- View this message in context: http://n4.nabble.com/adonis-design-tp1568989p1577801.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.
