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" <[EMAIL PROTECTED]> To: <r-help@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 > [EMAIL PROTECTED] > > > > Simon Pickett > PhD student > Centre For Ecology and Conservation > Tremough Campus > University of Exeter in Cornwall > TR109EZ > Tel 01326371852 > > ______________________________________________ > R-help@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 ______________________________________________ R-help@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.
