[R] Re sidual variance in lmer

[tomal]

Hello everybody, 
using the lmer function, I have fitted the following logistic mixed
regression model on an experimental data set containing one fixed factor
(Cond) and three random variables (Sito, Area, Trans):


> model<-lmer(Caul~Cond+(1|Sito)+(1|Area)+(1|Trans), data=dataset,
> family=binomial)

this is the output:

> summary(model)
Generalized linear mixed model fit by the Laplace approximation 
Formula: Caul ~ Cond + (1 | Sito) + (1 | Area) + (1 | Trans) 
   Data: dataset 
   AIC   BIC logLik deviance
 548.7 573.7 -268.3    536.7
Random effects:
 Groups Name        Variance  Std.Dev.
 Trans  (Intercept) 3.2313398 1.797593
 Area   (Intercept) 0.0000000 0.000000
 Sito   (Intercept) 0.0047151 0.068667
Number of obs: 480, groups: Trans, 48; Area, 12; Sito, 2

As you can see the residual variance is missing. Can anybody tell me why?
Does anybody know how can I get it?

Thank you for your attention, I wish somebody can help me.

Have a nice day, best regards, 
 
Tommaso Alestra 
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