R help - Jul 2010 - A question about conducting crossed random effects in R

Sounds distinctly like an assignment you've been set for which we
wouldn't
help.  All I'll say is crossed random effects can be dealt with effectively
in lmer.  See that for more.
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There is a mixed effects e-mail list you might want to join for more in depth
discussion of these topics - you can subscribe here
https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models.

In general the format for crossed effects would be
lmer(y~f1+f2+(1|r1)+(1|r2))   where f1, f2 are fixed effects and r1, r2 are
random.

I believe that the random lines correspond to those in SAS as below
random int/subject=r1;     (1|r1)     for random varying intercept with each
r1
random f1/subject=r1;      (f1|r1)    for random varying slope with each r1

However, in your case, I suspect that the model might not run because
crossed random effects generally take time and with 3 way interactions
that's probably too much for R.  Either way, you can check that by building
your model up slowly and seeing if it runs for the simpler case.  Let me
know how far you get,

Paul

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