[Apologies in advance if this is too "statistics" and not enough "R".]
I've got an experiment with two sets of treatments. Each subject either received all treatments from set A or all treatments from set B. I can compute the N pairwise correlations for all treatments in either set using cor(). If I take the mean of these N pairwise correlations, I see that the effects of treatments in set A are much more correlated than the effects of treatments in set B. (Mean correlation for set A is 0.6, mean for set B is 0.1). This is probably wrongheaded, but I'd like to be able to report whether this is a significant difference. I know about cor.test(), but I don't know whether/how I can adapt that for my use case. Thanks in advance for your advice. ______________________________________________ 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.