Thanks Harold, I will review the lmer vignette again. On Tue, Dec 2, 2008 at 2:12 PM, Doran, Harold <[EMAIL PROTECTED]> wrote:
> Richard > > There is much more information that you need to provide before a > thoughtful answer can be provided. Maybe you can describe the structure > of your data, your outcome variable, etc. There is a vignette in the > lmer package called 'Implementation' that will show you some methods for > model fitting. > > With that said, at the most basic level, a model of the form > > response = \mu + beta(covariate) + a_j + e_ij, a_j ~ N(0,r^2), e_ij ~ > N(0, s^2) > > Might be as follows in lmer > > > lmer(response ~ covariate + (1|covariate), ... ) > > > -----Original Message----- > > From: [EMAIL PROTECTED] > > [mailto:[EMAIL PROTECTED] On Behalf Of Richard Palmer > > Sent: Tuesday, December 02, 2008 1:40 PM > > To: r-help@r-project.org > > Subject: [R] question on lmer function > > > > suppose something like probability(passing test) is driven by > > > > 1. fixed effects -- sex > > 2. district effects - district funding > > 3. school effects - neighborhood income, racial > > composition, % two parent > > families, ... > > 4. class effects - teacher quality measurement, > > 5. individual random effects - IQ. > > > > how would such a model be setup in lmer? I can't find much > > discussion on the web. > > > > Is there extended documentation somewhere on lmer? > > > > Richard Palmer > > > > Home 508 877-3862 > > Cell 508 982-7266 > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > 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. > > > -- Richard Palmer Home 508 877-3862 Cell 508 982-7266 [[alternative HTML version deleted]] ______________________________________________ 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.
