hist: Histograms of Multiply Imputed Data

In mi: Missing Data Imputation and Model Checking

Histograms of Multiply Imputed Data

Description

This function creates a histogram from an object of missing_data.frame-class or mi-class

Usage

hist(x, ...)

Arguments

x	an object of missing_data.frame-class or mi-class
...	further arguments passed to plot.histogram

Details

When called on an object of missing_data.frame-class, the histograms of the observed data are generated, one for each missing_variable but grouped on a single page. When called on an object of mi-class, the histograms of the observed, imputed, and completed data are generated, one for each missing_variable, grouped on a single page for each chain.

Value

An invisible NULL is returned with a side-effect of creating a plot

Author(s)

Ben Goodrich and Jonathan Kropko, for this version, based on earlier versions written by Yu-Sung Su, Masanao Yajima, Maria Grazia Pittau, Jennifer Hill, and Andrew Gelman.

See Also

hist

Examples

if(!exists("imputations", env = .GlobalEnv)) {
  imputations <- mi:::imputations # cached from example("mi-package")
}
hist(imputations)

mi documentation built on June 7, 2022, 1:04 a.m.