If you want to know if your model fit will your data, then looking at residual-type plots is useful, as can be plotting the model-predictions and observed data together. You might also find interesting "R2 statistics for mixed models" by Matthew Kramer. Beware--as others have indicated, there is no widely-accepted measure of R2 for mixed models.
Kevin On Mon, Apr 30, 2012 at 5:21 AM, klai...@libero.it <klai...@libero.it>wrote: > Goodmorning everybody, > i'm an italian statistician and i'm using R for research. > > Could someone tell me some indices to see the goodness of fit in multilevel > modelling? > I'm using the lmer function, and I want to know if my model fit well my > data. > I actually want to justify the use of multilevel model instead the > classical > one. > > Hope someone can help me. > Thank you. > > Greetings > Chiara > > ______________________________________________ > 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. > -- Kevin Wright [[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.
