Given a set of data:
> names(data)
[1] "city" "house" "visit" "value"
I am looking for a way to compute the variance components of the
nested model (ie, visit 1 at house 2 at city 3 isn't related to visit
1 and house 2 at city 4), but different houses in the same city may be
related, and different visits to the same house are probably related.
I want to be able to compute how much of the total variance of "value"
is explained by each of these. How can I do that in R?
Thanks!
--
Russell Senior ``shtal latta wos ba padre u prett tu nashtonfi
[EMAIL PROTECTED] mrlosh'' -- Bashgali Kafir for ``If you have
had diarrhoea many days you will surely die.''
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