cor_diff {bruceR} | R Documentation |
Test the difference between two correlations.
Description
Test the difference between two correlations.
Usage
cor_diff(r1, n1, r2, n2, n = NULL, rcov = NULL)
Arguments
r1 , r2 |
Correlation coefficients (Pearson's r). |
n , n1 , n2 |
Sample sizes. |
rcov |
[Optional] Only for nonindependent rs:
then, as Y and Z are also correlated, we should also consider |
Value
Invisibly return the p value.
Examples
# two independent rs (X~Y vs. Z~W)
cor_diff(r1=0.20, n1=100, r2=0.45, n2=100)
# two nonindependent rs (X~Y vs. X~Z, with Y and Z also correlated [rcov])
cor_diff(r1=0.20, r2=0.45, n=100, rcov=0.80)
[Package bruceR version 2024.6 Index]