Gordon Smyth wrote:
Many thanks for help from Peter Dalgaard, Douglas Bates and Bill Venables. As a result of their help, here is a working example of using lme to fit an additive random effects model. The model here is effectively y~a+b with a and b random:
y <- rnorm(12) a <- gl(4,1,12) b <- gl(3,4,12) u <- gl(1,1,12) library(nlme) fm <- lme(y~1,random=list(u=pdBlocked(list(pdIdent(~a-1),pdIdent(~b-1))))) summary(fm)
I still can't see though how to extract the three variance components (for a and b and for the residual) from the fitted object 'fm'.
Thanks Gordon
Would this work for you? It still needs some parsing to extract sigma_a and sigma_b, but that should be simple.
v <- as.matrix(fm$modelStruct$reStruct$u) c(sqrt(diag(v)), Residual = 1) * fm$sigma
Regards, Sundar
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