Hello,
I'm wondering what's the best way to analyse an unbalanced design with a low number of
replicates. I'm not a statistician, and I'm looking for some direction for this
problem.
I've a 2 factor design:
Factor batch with 3 levels, and factor dose within each batch with 5 levels. Dose
level 1 in batch one is replicated 4 times, level 3 is replicated only 2 times. all
other levels are replicated 3 times, except for batch level 3, for which dose 4 is
missing.
I've realised that the other of the factors is critical for the outcome of the anova
(using lm and anova).
I guess the impact wouldn't be strong if there was a reasonably large numbe rof
replicates within each cell (even though not balanced). However, since I've only 0 to
4 replicates I'm worried that the standard anova may not be the way to go.
Are there special packages for unbalanced designs like this?
kind regards,
Arne
--
Arne Muller, Ph.D.
Toxicogenomics, Aventis Pharma
arne dot muller domain=aventis com
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