Thanks for the helping links. Now, I worked out that I have to use the lme4 package (with the lmer function) for my analysis. But now I do not understand the input to the lmer function.
In the lme function (of the nlme package) the correct input would in my case be: lme(fixed=Ac_LC~cond_ind,random=~img_cond|sub_ind/cond_ind) but also after reading the help and the R news I do not understand the formula I have to use for the lmer function. Could someone help me translating the lme input to a lmer input? And does someone know of a good explanation of the kinds of formulas you can input? In the books they only explain the lme input. Thanks, Lina 2006/10/17, Stefan Grosse <[EMAIL PROTECTED]>: > > Please always reply to the list as well as there always might be someone > faster/better answering (or it could be that I am wrong, so someone > might correct me) > > Indeed Pinheiro/Bates assume gaussian error terms... but I am not really > sure whether you meant that with "non normally distributed respond > variable" resp. "with non-normal data" > > however: > "/ Mixed-effects models: / The recommended nlme > <http://cran.r-project.org/src/contrib/Descriptions/nlme.html> package, > associated with Pinheiro and Bates, / Mixed-Effects Models in S and > S-PLUS / (Springer, 2000), fits linear and nonlinear mixed-effects > models, commonly used in the social sciences for hierarchical and > longitudinal data. Generalized linear mixed-effects models may be fit by > the glmmPQL function in the MASS package, and by the lmer function in > the Matrix > <http://cran.r-project.org/src/contrib/Descriptions/Matrix.html> package > (related to the lme4 > <http://cran.r-project.org/src/contrib/Descriptions/lme4.html> package, > which largely supersedes nlme > <http://cran.r-project.org/src/contrib/Descriptions/nlme.html> for / > linear / mixed models). Also see the lmeSplines > <http://cran.r-project.org/src/contrib/Descriptions/lmeSplines.html> and > lmm <http://cran.r-project.org/src/contrib/Descriptions/lmm.html> > packages." [ > http://cran.r-project.org/src/contrib/Views/SocialSciences.html ] > > Lina Jansen schrieb: > > > > > > 2006/10/17, Stefan Grosse <[EMAIL PROTECTED] > > <mailto:[EMAIL PROTECTED]>>: > > > > Interesting packages for you might be the nlme and lme4 packages > > and as > > a book Pinheiro/Bates, "Mixed-Effects Models in S and S-Plus" > > > > > > Thank you for the answer. I am always unsure concerning the > > non-normality. Can I use the nlme and lme4 with non-normal data? > > First, I thought they would work like an ANOVA but with random and > > fixed effects. > > [[alternative HTML version deleted]] ______________________________________________ [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.
