Zoya Pyrkina <zoyapyrkina <at> gmail.com> writes: > I need help with translating these SAS codes into R with lme()? I have a > longitudinal data with repeated measures (measurements are equally spaced > in time, subjects are measured several times a year). I need to allow slope > and intercept vary. > > SAS codes are: > > proc mixed data = survey method=reml; > > class subject var1 var3 var2 time; > > model score = var2 score_base var4 var5 var3 var6 var7 var1 time/ noint > solution; > > random intercept timecontinious / subject=subject type=un g gcorr v vcorr; > > run; >
You might have more luck submitting this to r-sig-mixed-models <at> r-project.org. Have you looked at the lme documentation and examples (and Pinheiro and Bates's 2000 book)? You probably want something *approximately* like lme(score~var2+score_base+var4+var5+var3+var6+var7+var1+time-1, random=~time|subject, data=...) A reproducible example would be nice too. Ben Bolker ______________________________________________ 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.
