missmi: First step before constructing unified biplots

In GPAbin: Unifying Multiple Biplot Visualisations into a Single Display

First step before constructing unified biplots

Description

This function produces a list of elements to be used when producing a GPAbin biplot.

Usage

missmi(data)

Arguments

data	input data frame or list

Value

X	The processed data
imputations	Number of multiple imputations applied
n	The number of samples
p	The number of variables
miss_pct	Percentage of missing values

Examples

data(missdat)
missbp <- missmi(missdat)
data(implist)
missbp <- missmi(implist)

GPAbin documentation built on Aug. 8, 2025, 6:19 p.m.