effect_sizes: Effect sizes conversions

odds_ratioR Documentation

Effect sizes conversions

Description

Calculate effect sizes and conversions

Usage

odds_ratio(a, b = NULL, c = NULL, d = NULL, type = "hits_misses")

odds2d(odds, var = FALSE)

odds2r(odds, n1 = 4, n2 = n1, var = FALSE)

r2cohend(r, var = FALSE)

cohend2r(cohend, n1 = NULL, n2 = n1, var = FALSE)

cohend2odds(cohend, var = FALSE)

Arguments

a, b, c, d

Values in the contingency table; valid if either 'a', 'b', 'c' and 'd' are the same length or if 'a' has length of '4' and 'b', 'c', and 'd' are 'NULL'.

type

Type of entry for [odds_ratio()]

odds, r, cohend

A vector of effect sizes

var

Logical, if 'TRUE' converts the variance instead

n1, n2

The ns of the groups

Details

'odds' are log odds

Examples

x <- c(26, 13, 5, 6)
odds_ratio(x)           # 2.4
odds2r(2.4)             # 0.2346004
odds2d(2.4)             # 0.4826712
r2cohend(0.2346004)    # 0.4826712
cohend2odds(0.4826712) # 0.8754687
cohend2r(0.4826712)    # 0.2346004
exp(0.8754687)          # 2.4



jmbarbone/jordanExtra documentation built on May 28, 2024, 7:33 p.m.