[R] anova applied to a lme object

[José Rafael Ferrer Paris]

The variances of the random effects and the residual variances are given
by the summary function. Maybe VarCorr or varcomp gives you the answer
you are looking for:

library(nlme)
library(ape)
?VarCorr
?ape

JR
El mié, 07-03-2007 a las 13:09 +0100, Berta escribió:
> Hi R-users,
> 
> when carrying out a multiple regression, say lm(y~x1+x2), we can use an 
> anova of the regression with summary.aov(lm(y~x1+x2)), and afterwards 
> evaluate the relative contribution of each variable using the global Sum of 
> Sq of the regression and the Sum of Sq of the simple regression y~x1.
> 
> Now I would like to incorporate a random effect in the model, as some data 
> correspond to the same region and others not:  mylme<- lme(y~x1+x2, random= 
> ~1|as.factor(region)). I would like to know, if possible, which is the 
> contribution of each variable to the global variability. Using anova(mylme) 
> produce an anova table (without the Sum of Sq column), but I am not sure how 
> can I derive the contribution of each variable from it, or even whether it 
> is nonsense to try, nor can I derive a measure of how much variability is 
> left unexplained.
> 
> Sorry for the type of question, but I did not find a simple solution and 
> some researchers I work with love to have relative contributions to global 
> variability.
> 
> Thanks a lot in advance,
> 
> Berta
> 
> 
> 
> >
> 
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-- 
Dipl.-Biol. JR Ferrer Paris
~~~~~~~~~~~~~~~~~~~~~~~~~~~
Laboratorio de Biología de Organismos --- Centro de Ecología
Instituto Venezolano de Investigaciones Científicas (IVIC) 
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