Hi there,
I have a question for using "lme". Say, I have 6 data points and they belong
to six groups (one group factor). So there is no replicates for each group
and I cannot separate the with-in group variation from the between group
variation.
But when I try to use "lme" to deal with it, it gave the answers for both
with-in group variation and the between group variation! The statement is as
below:
===============================================================
fac=as.factor(c(1:6))
y=data
data.y=data.frame(y,fac)
y.g=groupedData(y~1|fac)
fit.y=lme(y~1,random=~1|fac)
=============================================
An example is:
y=c(-0.3465181, -0.2019839, -0.7610653, -0.1992943, -0.1663348, 0.2811794)
then the lme gave me the variance components:
0.09865809 (intercept , between-group variance)
0.01387379 (residual, with-in group variance)
So, my question is, from theory we cannot get separate estimates of with-in
group variation and the between group variation, then what dose the output
of the "lme" mean?
Thanks!
Ruixiao
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