Kevin Wright gmail.com> writes:
>
> Generally, the only way to estimate f1:f2 is if you have all combinations of
> data present for these two factors.
Well, he said it was unbalanced, he didn't say how unbalanced --
i.e. it's not clear (to me) whether there are any completely missing cells
or
Generally, the only way to estimate f1:f2 is if you have all combinations of
data present for these two factors.
Sometimes it makes sense to include f1:f2 as a random effect in the model
(which does NOT need balanced data) but that is something you have to
decide.
Kevin
On Wed, Oct 5, 2011 at 2
Hi all,
I'm having some difficulty with lme. I am currently trying to run the
following simple model
anova(lme(x ~ f1 + f2 + f1:f2, data=m, random=~1|r1))
Which is currently producing the error
Error in MEEM(object, conLin, control$niterEM) :
Singularity in backsolve at level 0, block 1
x i
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