On Sep 30, 2013, at 3:22 PM, srecko joksimovic wrote: > I thought so, but then I found this: > "Normality > The assumption of normality states that the error terms at every level of the > model are normally distributed" > maybe I misinterpreted something.
Notice that it is the _error_terms_ that are to be normally distributed, not the data itself. One might even infer that "normally distrited data might be suspect because the "correct distribution should be a mixture of normals. Since the errors never are going to fit on a straight line on a QQ plot, the real question is "how far from Normal" and what the impact might be on the quantities being estimated. -- David. > > > On Mon, Sep 30, 2013 at 3:06 PM, David Winsemius <dwinsem...@comcast.net> > wrote: > > On Sep 30, 2013, at 2:50 PM, srecko joksimovic wrote: > > > I have an example of multilevel analysis with 3 levels, but data are > > non-normally distributed. In case of normal distribution, I would perform > > multilevel linear analysis using lme function, but what should I do in case > > of non-normal distribution? > > > > But normal distribution is not a requirement for linear models. Please review > your theory. > > > thanks, > > Srecko > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > 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. > > David Winsemius > Alameda, CA, USA > > David Winsemius Alameda, CA, USA ______________________________________________ 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.
