Introduction:

For correlation coefficients, the following functions are used:

pwr.r.test(n = , r = , sig.level = , power = )

where n is the sample size and r is the correlation. We use the population correlation coefficient as the effect size measure.

Cohen suggests that r values of 0.1, 0.3, and 0.5 represent small, medium, and large effect sizes respectively.