size.interval.cor | R Documentation |
Computes the sample size required to perform an interval test for a population Pearson or a partial correlation with desired power where the interval midpoint is equal to zero. This function can be used to plan a study where the goal is to show that the population correlation is small. Set s = 0 for a Pearson correlation. The correlation planning value must be a value within the hypothesized interval.
size.interval.cor(alpha, pow, cor, s, h)
alpha |
alpha level for hypothesis test |
pow |
desired power |
cor |
planning value of correlation |
s |
number of control variables |
h |
upper limit of hypothesized interval |
Returns the required sample size
size.interval.cor(.05, .8, .1, 0, .25)
# Should return:
# Sample size
# 360
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