test.cor2 {statpsych} | R Documentation |
Hypothesis test for a 2-group Pearson or partial correlation difference
Description
Computes a z test for a difference of population Pearson or partial correlations in a 2-group design. Set s = 0 for a Pearson correlation. The hypothesis testing results should be accompanied with a confidence interval for the difference in population correlation values.
Usage
test.cor2(cor1, cor2, n1, n2, s)
Arguments
cor1 |
estimated correlation for group 1 |
cor2 |
estimated correlation for group 2 |
n1 |
sample size for group 1 |
n2 |
sample size for group 2 |
s |
number of control variables |
Value
Returns a 1-row matrix. The columns are:
Estimate - estimate of correlation difference
z - z test statistic
p - two-sided p-value
See Also
Examples
test.cor2(.684, .437, 100, 125, 0)
# Should return:
# Estimate z p
# 0.247 2.705709 0.006815877
[Package statpsych version 1.6.0 Index]