correlation-tools {rapidsplithalf}

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 a given correlation coefficient.

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

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

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))