Ahh, the key to getting what you want is to ask the same question over and over again. This question is not about R and an answer can be found in all basic books on hierarchical linear models.
> -----Original Message----- > From: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] On Behalf Of Simon Pickett > Sent: Friday, August 31, 2007 9:43 AM > To: r-help@stat.math.ethz.ch > Subject: [R] Variance explained in mixed models > > Hi, > > I realise this has come up before in various reincarnations > but I couldnt find the answer... > > I wish to quote the "percentage variance explained" by each > of three components in my mixed model, one random effect and > two fixed effects. > > lmer(response~x1+x2+(1|random), data=data) > > Using lmer I can get the variance explained by the random > effect but not the fixed effects obviously. > > I was using a suggestion by someone that you can compare the > variance components of the model with with both fixed terms > included, with another model that has one of the fixed terms > removed. When I did this the Variance + residual variance did > not add up to the same figure each time. > > #first model with both fixed terms > Variance StdDev > (Intercept) 1.074666 1.036661 > Residual 1.136264 1.065957 > > #second model with one term ommitted > Variance StdDev > (Intercept) 1.113713 1.055326 > Residual 1.154527 1.074489 > > #third model with the other term ommitted Variance StdDev > (Intercept) 1.069478 1.034156 > Residual 1.145590 1.070322 > > Actually the second model with only one fixed effect is > saying that the percentage variance explained is higher than > the one with both fixed effects which is impossible right? > > Any better ideas? > > Thanks in advance, Simon. > > > Simon Pickett > PhD student > Centre For Ecology and Conservation > Tremough Campus > University of Exeter in Cornwall > TR109EZ > Tel 01326371852 > > http://www.uec.ac.uk/biology/research/phd-students/simon_pickett.shtml > > ______________________________________________ > 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. > ______________________________________________ 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.