[R] cross-classified random factors in lme without blocking
Gordon Smyth
smyth at wehi.edu.au
Fri Oct 31 07:03:59 CET 2003
On page 165 of Mixed-Effects Models in S and S-Plus by Pinheiro and Bates
there is an example of using lme() in the nlme package to fit a model with
crossed random factors. The example assumes though that the data is
grouped. Is it possible to use lme() to fit crossed random factors when the
data is not grouped?
E.g., y <- rnorm(12); a=gl(4,1,12); b=gl(3,4,12). Can I fit an additive
model like y~a+b but with a and b random?
Everything I've tried gives an error:
> lme(y~1,random=~1|(a+b))
Error in switch(mode(object), name = , numeric = , call = object, character
= as.name(object), :
[[ cannot be of mode (
> lme(y~1,random=~a+b)
Error in getGroups.data.frame(dataMix, groups) :
Invalid formula for groups
Thanks
Gordon
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