power.cor: Approximates the power of a correlation test for a planned...
In statpsych: Statistical Methods for Psychologists
power.cor R Documentation
Approximates the power of a correlation test for a planned sample size
Description
Computes the approximate power of a test for a population Pearson or partial
correlation test for a planned sample size. Set s = 0 for a Pearson correlation.
Usage
power.cor(alpha, n, cor, h, s)
Arguments
alpha
alpha level for hypothesis test
n
planned sample size
cor
planning value of correlation
h
null hypothesis value of correlation
s
number of control variables
Value
Returns the approximate power of the test
Examples
power.cor(.05, 80, .3, 0, 0)
# Should return:
# Power
# 0.7751947
statpsych documentation built on Sept. 11, 2024, 7:42 p.m.
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| power.cor | R Documentation |
Approximates the power of a correlation test for a planned sample size
Description
Computes the approximate power of a test for a population Pearson or partial correlation test for a planned sample size. Set s = 0 for a Pearson correlation.
Usage
power.cor(alpha, n, cor, h, s)
Arguments
alpha |
alpha level for hypothesis test |
n |
planned sample size |
cor |
planning value of correlation |
h |
null hypothesis value of correlation |
s |
number of control variables |
Value
Returns the approximate power of the test
Examples
power.cor(.05, 80, .3, 0, 0)
# Should return:
# Power
# 0.7751947
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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