cor_diff {bruceR} | R Documentation |
Test the difference between two correlations.
cor_diff(r1, n1, r2, n2, n = NULL, rcov = NULL)
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 |
Invisibly return the p value.
# 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)