Hi, I am an R beginner and having problems structuring my REML models. I have a model with y=weight x1=time x2=timesquared id=individual identity I need to structure the model such that in the random effects there is a constant intercept for all individuals but a separate individual slope for both x1 and x2 (a coefficient score for every individual). m1<-lmer(weight~time+timesq+(1|id)+(timesq-1|id)+(time-1|id), data=dataset) coef(m1) gives me nearly what I want except there isnt an individual coefficient score for each individual for x2. Any suggestions very much appreciated. Simon Pickett s.pickett at exeter.ac.uk Simon Pickett PhD student Centre For Ecology and Conservation Tremough Campus University of Exeter in Cornwall TR109EZ Tel 01326371852
Dimitris Rizopoulos
2006-Aug-10 14:24 UTC
[R] help with structuring random factors using lmer()
probably you're looking for something like: m1 <- lmer(weight ~ time + I(time^2) + (time + I(time^2) - 1 | id), data = dataset) I hope it helps. Best, Dimitris ---- Dimitris Rizopoulos Ph.D. Student Biostatistical Centre School of Public Health Catholic University of Leuven Address: Kapucijnenvoer 35, Leuven, Belgium Tel: +32/(0)16/336899 Fax: +32/(0)16/337015 Web: http://med.kuleuven.be/biostat/ http://www.student.kuleuven.be/~m0390867/dimitris.htm ----- Original Message ----- From: "Simon Pickett" <S.Pickett at exeter.ac.uk> To: <r-help at stat.math.ethz.ch> Sent: Thursday, August 10, 2006 4:00 PM Subject: [R] help with structuring random factors using lmer()> Hi, > I am an R beginner and having problems structuring my REML models. I > have > a model with > y=weight > x1=time > x2=timesquared > id=individual identity > I need to structure the model such that in the random effects there > is a > constant intercept for all individuals but a separate individual > slope for > both x1 and x2 (a coefficient score for every individual). > m1<-lmer(weight~time+timesq+(1|id)+(timesq-1|id)+(time-1|id), > data=dataset) > coef(m1) > gives me nearly what I want except there isnt an individual > coefficient > score for each individual for x2. > Any suggestions very much appreciated. > Simon Pickett > s.pickett at exeter.ac.uk > > > > Simon Pickett > PhD student > Centre For Ecology and Conservation > Tremough Campus > University of Exeter in Cornwall > TR109EZ > Tel 01326371852 > > ______________________________________________ > R-help at stat.math.ethz.ch 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. >Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm
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