plotVarConvergence: plotVarConvergence

In miceRanger: Multiple Imputation by Chained Equations with Random Forests

Description

Plot the evolution of the dispersion and center of each variable. For numeric variables, the center is the mean, and the dispersion is the standard deviation. For categorical variables, the center is the mode, and the dispersion is the entropy of the distribution.

Usage

plotVarConvergence(miceObj, vars = names(miceObj$callParams$vars), ...)

Arguments

miceObj	an object of class miceDefs, created by the miceRanger function.
vars	the variables you want to plot. Default is to plot all variables. Can be a vector of variable names, or one of 'allNumeric' or 'allCategorical'
...	options passed to ggarrange()

Value

an object of class ggarrange.

Examples

data("sampleMiceDefs")
plotVarConvergence(sampleMiceDefs)

miceRanger documentation built on Sept. 6, 2021, 5:07 p.m.