R help - Nov 2009 - Calculating the percentage of explained deviance in lmer

Dear all,
I am trying to calculate some measure of the amount of variability in the
response variable that is explained by a model fitted in lmer
m1<-lmer(response-var ~
Condition+(1|Site/Area/Transect),family="binomial") .
I've seen from the literature that the precentage of explained deviance is a
common measure. How can I calculate it?
Thanks a lot for your help, I hope this is not too shallow.
Best
Fabio
------------------------------------------------------------------------------
Fabio Bulleri, PhD
Dipartimento di Biologia
Università di Pisa
Via A. Volta 6, I-56126, Pisa, Italy
Tel. +39 050 2211448
Fax +39 050 2211410
	[[alternative HTML version deleted]]

Hi, Fabio,
I only have an idea on how to calculate deviance explained by the fixed
effects. If you remove fixed effects and introduce one null model such as
m2<-lmer(response-var ~
1+(1|Site/Area/Transect),family="binomial"). Then,
(deviance(m2)-deviance(m1))/deviance(m2) will represent deviance explained
by fixed effects in m1. Hope this makes some sense.
Best regards,
Jianghua


Fabio Bulleri wrote:
> 
> Dear all,
> I am trying to calculate some measure of the amount of variability in the
> response variable that is explained by a model fitted in lmer 
> m1<-lmer(response-var ~
> Condition+(1|Site/Area/Transect),family="binomial") . 
> I've seen from the literature that the precentage of explained deviance
is
> a common measure. How can I calculate it?
> Thanks a lot for your help, I hope this is not too shallow.
> Best
> Fabio
>
------------------------------------------------------------------------------
> Fabio Bulleri, PhD
> Dipartimento di Biologia
> Universit? di Pisa
> Via A. Volta 6, I-56126, Pisa, Italy
> Tel. +39 050 2211448
> Fax +39 050 2211410
> 	[[alternative HTML version deleted]]
> 
> 
> ______________________________________________
> R-help at 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.
> 
> 
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