mi_dstat: Cohen's d Effect Size for Missingness Indicators

Description Usage Arguments Value Author(s) Examples

View source: R/mi_dstat.R

Description

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

Usage

1
mi_dstat(dat)

Arguments

dat

Data frame

Value

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

Author(s)

Alexander Robitzsch

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
#############################################################################
# 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 )

miceadds documentation built on Aug. 25, 2017, 1:03 a.m.