Basically, I haven't gotten around to adding a contrast.lmer methods yet. It's only my list, but in the short term, you are welcome to contribute code to the package.
There have also been discussions on this list about the appropriateness of such contrats with nonlinear models, but I need to implement the contrast anyway (to handle the linear cases). Max On Wed, May 19, 2010 at 9:23 AM, Kay Cichini <kay.cich...@uibk.ac.at> wrote: > > plugged it together myself - > obviously this should work: > > m0<-lm(rich ~ gap*stage,data=richness) > > cc<-contrast(m0, > list(stage = levels(stage), gap = "1"), > list(stage = levels(stage), gap = "0")) > > # plug in matrix from contrast(m0) > summary(glht(m3, linfct = cc$X)) > > > Simultaneous Tests for General Linear Hypotheses > > Fit: glmer(formula = rich ~ gap * stage + (1 | site), family = poisson, > REML = 1) > > Linear Hypotheses: > Estimate Std. Error z value Pr(>|z|) > 1 == 0 0.04820 0.15594 0.309 0.9965 > 2 == 0 -0.44679 0.10204 -4.379 4.78e-05 *** > 3 == 0 -0.52847 0.09133 -5.786 2.88e-08 *** > 4 == 0 -0.44396 0.15549 -2.855 0.0171 * > --- > Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 > (Adjusted p values reported -- single-step method) > > ----- > ------------------------ > Kay Cichini > Postgraduate student > Institute of Botany > Univ. of Innsbruck > ------------------------ > > -- > View this message in context: > http://r.789695.n4.nabble.com/contrasts-for-lmer-model-tp2222682p2222820.html > Sent from the R help mailing list archive at Nabble.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. > -- Max ______________________________________________ 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.
