Doug, It appears you are mixing nlme and lme4 formulation type. On nlme library you type
lme(y~x, random=~1|subjetc) On lme4 library you type lmer(y~x+(1|subject)) You mixed them. At your disposal. Walmes. Doug Adams wrote: > > Hi, > > I was wondering: I've got a dataset where I've got student 'project's > nested within 'school's, and 'division' (elementary, junior, or > senior) at the student project level. (Division is at the student > level and not nested within schools because some students are > registered as juniors & others as seniors within the same school.) > > So schools are random, division is fixed, and the student Score is the > outcome variable. This is what I've tried: > > lmer(data=Age6m, Score ~ division + (1|school), random=~1 | school) > > Am I on the right track? Thanks everyone, :) > > Doug Adams > MStat Student > University of Utah > > ______________________________________________ > 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. > > ----- ..oooO .................................................................................................. ..(....)... 0ooo... Walmes Zeviani ...\..(.....(.....)... Master in Statistics and Agricultural Experimentation ....\_)..... )../.... walmeszevi...@hotmail.com, Lavras - MG, Brasil ............ (_/............................................................................................ -- View this message in context: http://n4.nabble.com/Hierarchical-Linear-Model-using-lme4-s-lmer-tp1015485p1015621.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.
