Dear all, This may seem obvious for some of you, but it got me thinking. Can one use correlations (or R^2) as data for an ANOVA?
The case in hand: I have several models fitting the same data (individual fits per subject). The different models fitting the same guy will produce different R^2, I was wondering if these could be used as dependent variable in a repeated measures design where the repeated factors are the different models. For some reason, this "analysis of variance on 'variance explained' as data rings a bell as something not methodologically correct. On the other hand, R^2 may be distributed in a way that fulfill of the ANOVA assumptions. Is it an aberration? Thanks a lot in advance, -Jose ______________________________________________ [email protected] 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.
