[R] obtaining means/SD after fitting a mixed model

[Spencer Graves]

	  Have you consulted Pinheiro and Bates (2000) Mixed-Effects Models in 
S and S-Plus (Springer)?  The MASS function "glmmPQL" translates the 
problem into approximate "gaussian" terms and passes the translation 
into "lme".  Therefore, I would expect much of what appears in Pinheiro 
and Bates to be accessible to you.

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	  spencer gravesd

Pablo Inchausti wrote:

> Hello,
> I am running (non-balanced) mixed models (using library lme4) such as :
> model1<-glmmPQL(Y~grouping variable+ covariate, random=~1|yr/month, 
> data=dat, family= gaussian or poisson)
> and besides the usual output in terms of the statistical significance of 
> the fitted coefficients, I'd like to obtain the adjusted means and standard 
> deviations (as one obtains after fitting a lm model). My problem is that I 
> cannot find a command equivalent to "model.table (model, grouping variable, 
> mean/sd)" that would apply to mixed models. Any suggestion would be 
> appreciated.
> Thanks in advance
> 
> Pablo
> 
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