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 > > > > > > > ______________________________________________ > R-help@stat.math.ethz.ch 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. -- Dipl.-Biol. JR Ferrer Paris ~~~~~~~~~~~~~~~~~~~~~~~~~~~ Laboratorio de Biología de Organismos --- Centro de Ecología Instituto Venezolano de Investigaciones Científicas (IVIC) Apdo. 21827, Caracas 1020-A República Bolivariana de Venezuela Tel: (+58-212) 504-1452 Fax: (+58-212) 504-1088 email: [EMAIL PROTECTED] clave-gpg: 2C260A95 ______________________________________________ R-help@stat.math.ethz.ch 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.