Hehe (about the kitchen sink) Thanks very much to all three of you.
Douglas Bates-2 wrote: > > On Sat, Jan 16, 2010 at 8:20 AM, Walmes Zeviani > <walmeszevi...@hotmail.com> wrote: >> >> 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. > > Which is what I tell my wife when I am standing by our sink. > >> 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 > > Walmes is correct that this is mixing two formulations of the model. > It turns out that the model will be fit correctly anyway. The lmer > function has a ... argument which will silently swallow the argument > random = ~ 1|school and ignore it. Looks like we should add a check > for specification of a random argument and provide a warning if it is > present. > > ______________________________________________ > 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. > > ----- Doug Adams MStat Student University of Utah -- View this message in context: http://n4.nabble.com/Hierarchical-Linear-Model-using-lme4-s-lmer-tp1015485p1015916.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.
