mi_categories: Visualize Imputed Categorical Values

In mmaechler/miP: Multiple Imputation Plots

Description

Plot to visualize which categories have been imputed by the different imputation chains for a certain categorical variable.

Usage

mi_categories(input, var, sort = FALSE, legend = FALSE)

Arguments

input	MI object produced by mi or mice() from mice.
var	variablename of a factor to be plotted.
sort	defines whether or not to sort by categories.
legend	logical specifying if a legend should be drawn.

Details

y-axis represents the m different imputation chains, x-axis all imputed observations. Each colour stands for one category. Therefore each box illustrates which category has been imputed for each missing value differed by imputation chains.

Author(s)

Paul Brix

Examples

data(FLAS)
require("mice")
FLASmi <- mice(FLAS)
mi_categories(FLASmi, "priC", sort=TRUE)

mmaechler/miP documentation built on May 23, 2019, 5 a.m.