Effect sizes conversions

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
#> [1] 2.4
odds2r(2.4)             # 0.2346004
#> [1] 0.2346004
odds2d(2.4)             # 0.4826712
#> [1] 0.4826712
r2cohend(0.2346004)    # 0.4826712
#> [1] 0.4826712
cohend2odds(0.4826712) # 0.8754687
#> [1] 0.8754687
cohend2r(0.4826712)    # 0.2346004
#> [1] 0.2346004
exp(0.8754687)          # 2.4
#> [1] 2.4