smd {JWileymisc} | R Documentation |
Calculate Standardized Mean Difference (SMD)
Description
Simple function to calculate effect sizes for mean differences.
Usage
smd(x, g, index = c("all", "1", "2"))
Arguments
x |
A continuous variable |
g |
A grouping variable, with two levels |
index |
A character string: “all” uses pooled variance, “1” uses the first factor level variance, “2” uses the second factor level variance. |
Value
The standardized mean difference.
Examples
smd(mtcars$mpg, mtcars$am)
smd(mtcars$mpg, mtcars$am, "all")
smd(mtcars$mpg, mtcars$am, "1")
smd(mtcars$mpg, mtcars$am, "2")
smd(mtcars$hp, mtcars$vs)
d <- data.table::as.data.table(mtcars)
d[, smd(mpg, vs)]
rm(d)
[Package JWileymisc version 1.4.1 Index]