size.interval.cor {statpsych} | R Documentation |
Sample size for an interval test of a Pearson or partial correlation
Description
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.
Usage
size.interval.cor(alpha, pow, cor, s, h)
Arguments
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 |
Value
Returns the required sample size
Examples
size.interval.cor(.05, .8, .1, 0, .25)
# Should return:
# Sample size
# 360
[Package statpsych version 1.6.0 Index]