This is not really an R question -- it is statistics. In any case, you should do better posting this on the R-Sig-Mixed-Models list, which concerns itself with matters like this.
However, I'll hazard a guess at an answer: maybe. (Vague questions elicit vague answers). Cheers, Bert On Tue, Dec 10, 2013 at 6:55 AM, peyman <zira...@gmail.com> wrote: > Hi folks, > > I am using the lme package of R, and am wondering if it is assumed that > the dependent factor (what we fit for; y in many relevant texts) has to > have a normal Gaussian distribution? Is there any margins where some > skewness in the data is accepted and how within R itself one could check > distribution of the data? > > Thanks, > Peyman > > ______________________________________________ > 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. -- Bert Gunter Genentech Nonclinical Biostatistics (650) 467-7374 ______________________________________________ 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.
