E_z: Functions for Fisher's z-transformation

In Thie1e/subsetcor: Test differences of correlations in subsets and run related simulation studies

Description

Convert a sample correlation coefficient (r) to Fisher's z or the other way around, compute the expected value of z (E_z), compute the standard error of z (se_z), and the standard error of z with a correction for finite samples (se_z_finite) with Npop being the size of the full sample.

Usage

E_z(rho)

Arguments

rho	Population correlation coefficient
r	Sample correlation coefficient
n	Sample size
Npop	Population size in case of finite populations, e.g. when a subset was extracted from a sample

See Also

rtoz, ztor, E_z, se_z, se_z_finite

Thie1e/subsetcor documentation built on May 9, 2019, 4:41 p.m.