Hi Adam,
My (and, judging from previous traffic on R-help about power analyses,
also some other people's) preferred approach is to simply simulate an
effect size you would like to detect a couple of thousand times, run
your proposed analysis and look how often you get significance. In your
simple case, this should be quite easy.
HTH,
Stephan
Adam D. I. Kramer schrieb:
Hello,
I have searched and failed for a program or script or method to
conduct a power analysis for a MANOVA. My interest is a fairly simple case
of 5 dependent variables and a single two-level categorical predictor
(though the categories aren't balanced).
If anybody happens to know of a script that will do this in R, I'd
love to know of it! Otherwise, I'll see about writing one myself.
What I currently see is this, from help.search("power"):
stats::power.anova.test
Power calculations for balanced one-way
analysis of variance tests
stats::power.prop.test
Power calculations two sample test for
proportions
stats::power.t.test Power calculations for one and two sample t
tests
Any references on power in MANOVA would also be helpful, though of
course I will do my own lit search for them myself.
Cordially,
Adam D. I. Kramer
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