correlation-tools: Miscellaneous correlation tools

In rapidsplithalf: A Fast Permutation-Based Split-Half Reliability Algorithm

Miscellaneous correlation tools

Description

Helper functions to compute important statistics from correlation coefficients.

Usage

r2z(r)

z2r(z)

r2t(r, n)

t2r(t, n)

r2p(r, n)

rconfint(r, n, alpha = 0.05)

compcorr(r1, r2, n1, n2)

## S3 method for class 'compcorr'
print(x, ...)

Arguments

r, r1, r2	Correlation values.
z	Z-scores.
n, n1, n2	Sample sizes.
t	t-scores.
alpha	The significance level to use.
x	A compcorr object to print.
...	Ignored.

Value

For r2z(), z2r, r2t, t2r, and r2p, a numeric vector with the requested transformation applied. For rconfint(), a numeric vector with two values representing the lower and upper confidence intervals of the correlation coefficient. For compcorr(), a compcorr object containing a z and p value for the requested comparison, which can be printed with print.compcorr().

Functions

• r2z(): Converts correlation coefficients to z-scores.

• z2r(): Converts z-scores to correlation coefficients.

• r2t(): Converts correlation coefficients to t-scores.

• t2r(): Converts t-scores to correlation coefficients.

• r2p(): Computes the two-sided p-value for a given correlation.

• rconfint(): Computes confidence intervals for one or multiple correlation coefficients.

• compcorr(): Computes the significance of the difference between two correlation coefficients.

• print(compcorr): Computes the significance of the difference between two correlation coefficients.

Note

compcorr() should not be used to compare permutation-based reliabilities. In that context, it has an excessive type-1 error. Use [comprel()] instead.

Author(s)

Sercan Kahveci

See Also

cormean

Examples

z <- r2z(.5)
r <- z2r(z)
t<-r2t(r,30)
r<-t2r(t,30)
r2p(r,30)
print(rconfint(r,30))
print(compcorr(.5,.7,20,20))

rapidsplithalf documentation built on April 15, 2026, 5:06 p.m.