cohen_d_to_r: Convert Cohen's d to r

In kim: A Toolkit for Behavioral Scientists

Convert Cohen's d to r

Description

Convert d (standardized mean difference or Cohen's d) to r (correlation), as illustrated in Borenstein et al. (2009, p. 48, ISBN: 978-0-470-05724-7)

Usage

cohen_d_to_r(d = NULL, n1 = NULL, n2 = NULL, d_var = NULL)

Arguments

d	Cohen's d (the input can be a vector of values)
n1	sample size in the first of two group (the input can be a vector of values)
n2	sample size in the second of two group (the input can be a vector of values)
d_var	(optional argument) variance of d (the input can be a vector of values). If this argument receives an input, variance of r will be returned as well.

Value

the output will be a vector of correlation values (and variances of r if the argument d_var received an input)

Examples

## Not run: 
cohen_d_to_r(1)
cohen_d_to_r(d = 1:3)
cohen_d_to_r(d = 1:3, n1 = c(100, 200, 300), n2 = c(50, 250, 900))
cohen_d_to_r(1.1547)
cohen_d_to_r(d = 1.1547, d_var = .0550)
cohen_d_to_r(d = 1:2, d_var = 1:2)

## End(Not run)

kim documentation built on Oct. 9, 2023, 5:08 p.m.