Learn R Programming

GPAbin

GPAbin biplots to unify visualisations from multiple imputed data.

Installation

You can install the development version of GPAbin from GitHub with:

devtools::install_github("jnienk/GPAbin")

About the name

Generalised orthogonal Procrustes analysis (GPA) is used to align individual biplots before combining their separate coordinate sets into an average coordinate matrix, to mimic Rubin’s rules. Finally, this average coordinate matrix is then utilized to construct a single biplot called a GPAbin biplot.

Copy Link

Version

Install

install.packages('GPAbin')

Monthly Downloads

199

Version

1.1.1

License

MIT + file LICENSE

Maintainer

Johané Nienkemper-Swanepoel

Last Published

October 2nd, 2025

Functions in GPAbin (1.1.1)

DRT

Dimension reduction
implist

List of multiple imputed data sets
CLPpred

Category level prediction
impute

Multiple imputation
GPA

Generalised Orthogonal Procrustes Analysis
GPAbin

Function to unify coordinates of multiple configurations
OPA

Orthogonal Procrustes Analysis
missmi

First step before constructing unified biplots
biplFig

Biplot function
evalMeas

Evaluation measures when complete data is available
print.missmi

Generic print function for objects of class missmi
compdat

Complete data example
missdat

Missing data example