The coefficient of deterimination, R^2, is defined as the percent of the variance explained. For a mixed model, we need to ask, "percent of WHICH variance?" For more comments, I tried "RSiteSearch" with various kew words. The most relevant comment I found was "http://finzi.psych.upenn.edu/R/Rhelp02a/archive/48023.html", which I got from RSiteSearch("R squared with mixed effects").
hope this helps. spencer graves Angelo Colombo wrote: > Hello. > I have some basic question for you!. > Has calculating R2 sense in mixed model? I think no! But i don't why! > > Thank in advance for your help > Angelo > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html