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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.

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Version

Install

install.packages('GPAbin')

Version

1.1.0

License

MIT + file LICENSE

Maintainer

Johané Nienkemper-Swanepoel

Last Published

July 16th, 2025

Functions in GPAbin (1.1.0)

biplFig

Biplot function
missmi

First step before constructing unified biplots
CLPpred

Category level prediction
GPAbin

Function to unify coordinates of multiple configurations
GPA

Generalised Orthogonal Procrustes Analysis
print.missmi

Generic print function for objects of class missmi
compdat

Complete data example
implist

List of multiple imputed data sets
evalMeas

Evaluation measures when complete data is available
impute

Multiple imputation
DRT

Dimension reduction
OPA

Orthogonal Procrustes Analysis
missdat

Missing data example