Hi Farrel,
I usually simulate in cases like this - pick the effect size and
distributions you conjecture, simulate your data 10,000 times and look
how often t.test() gets you a significant difference.
Good luck,
Stephan
Farrel Buchinsky schrieb:
I have used the function power.t.test() (power calculations for one
and two sample t tests) but have noted that it handles the samples as
being the same size. How does one handle sample sizes that are
different. In other words how does one handle unbalanced designs.
Farrel Buchinsky
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