[R] question on lmer function

[Doran, Harold]

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: r-help-bounces at r-project.org 
> [mailto:r-help-bounces at r-project.org] On Behalf Of Richard Palmer
> Sent: Tuesday, December 02, 2008 1:40 PM
> To: r-help at 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
> 
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