Thank you very much, but not I am not sure now - does ranef(fm1) give the (total) slope and intercept values directly for each group or not? Thanks a lot for clarifying - because I might well have been wrong. Dimitri
On Mon, Oct 18, 2010 at 5:57 PM, Bert Gunter <gunter.ber...@gene.com> wrote: > Dmitri: > > Not quite sure what you mean by easier ... fixef() and ranef() will > both give coefficients which can be easily manipulated to produce the > results for all subjects. > > However, note that there are numerous built-in lme > functions(especially for graphics) that do this internally to produce, > e.g. graphs of coefficient shrinkage. So if this is the sort of thing > you want to do with the BLUPS, you may not need to do it manually. > > HTH. > > Cheers, > Bert > > On Mon, Oct 18, 2010 at 2:15 PM, Dimitri Liakhovitski > <dimitri.liakhovit...@gmail.com> wrote: >> Hello! >> >> If I run this example: >> >> library(nlme) >> fm1 <- lme(distance ~ age+Sex, Orthodont, random = ~ age + Sex| Subject) >> If I run: >> summary(fm1) >> then I can see the fixed effects for age and sex (17.7 for intercept, >> 0.66 for age, and -1.66 for SexFemale) >> >> If I run: >> ranef(fm1) >> Then it looks like it's producing the random effects for each subgroup >> (in this example - each subject). For example, for MO1 it's: >> 1.25 for intercept, 0.106 for age, and -1.52 for SexFemale. >> >> So, in order to get the the total effects, i.e., the regression >> equation, for each subgroup (Subject) I need to do this: >> For example, for Subject MO1: >> y(M01) = (17.71+1.25)+(0.66+0.106)*Age+(-1.66-1.52)*SexFemale = 18.96 >> + 0.766*Age -3.18*SexFemale >> >> Question: Is there an easier way to get such an equation for each >> level of Subject? >> >> Thank you very much! >> >> -- >> Dimitri Liakhovitski >> Ninah Consulting >> www.ninah.com >> >> ______________________________________________ >> 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 > -- Dimitri Liakhovitski Ninah Consulting www.ninah.com ______________________________________________ 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.
