Power calculations where two samples are of unequal size
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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