mi_dstat: Cohen's d Effect Size for Missingness Indicators
In miceadds: Some Additional Multiple Imputation Functions, Especially for 'mice'

Description Usage Arguments Value Author(s) Examples

View source: R/mi_dstat.R

Computes Cohen's d effect size indicating whether missingness on a variable is related to other variables (covariates).

1	mi_dstat(dat)

dat

Data frame

A matrix. Missingness indicators refer to rows and covariates to columns.

Alexander Robitzsch

#############################################################################
# EXAMPLE 1: d effect size for missingness indicators data.ma01
#############################################################################

data(data.ma01)
dat <- data.ma01

# compute d effect sizes
md <- miceadds::mi_dstat(dat)
round( md , 3 )