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.