Dieter Menne wrote:
Michal Figurski wrote:
I am running a simple mixed effects model using lme(). The call looks
like this:
fit <- lme(Analyte~Sample, data=Data, random=~1 | Run)
I am particularly interested in the estimated random effects. When I
print the 'fit' object, it looks something like example below:
(...)
Random effects:
Formula: ~1 | Run
(Intercept) Residual
StdDev: 3.483794 3.637523
(...)
While I have no problem obtaining the 'Residual' value by calling
fit$sigma, I have no idea how to obtain the '(Intercept)' value from the
'fit' object. Anyone can help with that?
There might be an official way to get it, but I would use as a hack.
library(nlme)
fm2 <- summary(lme(distance ~ age + Sex, data = Orthodont, random = ~ 1))
sqrt(getVarCov(fm2)[1,1])
or get both from VarCorr(model):
VarCorr(fm2)
#Subject = pdLogChol(1)
# Variance StdDev
#(Intercept) 3.266784 1.807425
#Residual 2.049456 1.431592
-Peter Ehlers
--
Peter Ehlers
University of Calgary
403.202.3921
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