mi_regplot: Scatterplot - Observed/Imputed vs Predicted

In mmaechler/miP: Multiple Imputation Plots

Description

Bivariate scatterplot that plots the observed or imputed values for each observation against the predicted values, overlaid with fitted lowess curves.

Usage

mi_regplot(input, nr = 1, nmis=5)

Arguments

input	MI object produced by mi, mice.
nr	number of the imputation chain that should be plotted.
nmis	lowess curve is only plotted if number of imputed values is higher than this parameter.

Details

The plot works only for continuous variables and for objects produced by mi or mice (method="norm"), not Amelia.

Author(s)

Paul Brix

Examples

data(FLAS)
require("mice")
FLASmi <- mice(FLAS, defaultMethod = c("norm","logreg","polyreg"))
mi_regplot(FLASmi)

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