[R-sig-ME] structure of a lmer code
Kenneth Frost
kfrost at wisc.edu
Thu Mar 29 00:54:59 CEST 2012
I think the equivalent to fm1 is actually
fm2<-lmer(log(y)~1+x+(-1+x|group), na.action="na.omit", data=...)
On 03/28/12, Ista Zahn wrote:
> Hi Antoine,
>
> I think you want
>
> fm2<-lmer(log(y)~-1+x+(-1+x|group), na.action="na.omit", data=...)
>
> no?
>
> Best,
> Ista
> 2012/3/28 Antoine TARDIF <antoine.tardif at usherbrooke.ca>:
> > Dear all,
> >
> > I would like to fit a multilevel linear model, with varying slope but
> > with intercepts fixed at zero (in my experiment, all the samples have
> > the same value at time=0).
> >
> > I have both nested and non-nested factors, but in a first step, we
> > would like to fit a lmer model "fm2" equivalent to this lme model
> > "fm1" :
> >
> > library(nlme)
> > fm1<-lme(log(y)~x, random=~-1+x|group, na.action="na.omit", data=...)
> >
> > I tried this code for the lmer function :
> > library(lme4)
> > fm2<-lmer(log(y)~-1+x+(-1+y|group), na.action="na.omit", data=...)
> >
> > 1. Instead of providing similar results to fm1, fm2 results do not
> > make sense. Is there a mistake in the structure of the fm2 code ?
> >
> > 2. I also have an other question :
> >
> > > coef(fm1) works, but
> > > coef(fm2) shows this error message : "unable to align random and
> > fixed effects"
> >
> > What does it mean ?
> >
> > If someone could help me, thanks a lot in advance..
> >
> > Antoine Tardif
> >
> > --
> > Antoine TARDIF
> > Département de Biologie
> > Université de Sherbrooke
> > Sherbrooke (Qc)
> > J1K 2R1 Canada
> >
> > Bureau D5-0204
> > (+ 1) 819 821 8000 poste 61928
> > antoine.tardif at usherbrooke.ca
> >
> >
> > [[alternative HTML version deleted]]
> >
> >
> > _______________________________________________
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> >
>
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