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mi_dstat

Cohen's d Effect Size for Missingness Indicators


Description

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

Usage

mi_dstat(dat)

Arguments

dat

Data frame

Value

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

Examples

#############################################################################
# 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

Some Additional Multiple Imputation Functions, Especially for 'mice'

v3.11-6
GPL (>= 2)
Authors
Alexander Robitzsch [aut,cre] (<https://orcid.org/0000-0002-8226-3132>), Simon Grund [aut] (<https://orcid.org/0000-0002-1290-8986>), Thorsten Henke [ctb]
Initial release
2021-01-21 11:48:47

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