cor_diff: Test the difference between two correlations.

In bruceR: Broadly Useful Convenient and Efficient R Functions

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: r1 is r(X,Y), r2 is r(X,Z), then, as Y and Z are also correlated, we should also consider rcov: r(Y,Z)

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)

bruceR documentation built on June 22, 2024, 12:26 p.m.