Unifying Multiple Biplot Visualisations into a Single Display

Aligning multiple visualisations by utilising generalised orthogonal Procrustes analysis (GPA) before combining coordinates into a single biplot display as described in Nienkemper-Swanepoel, le Roux and Lubbe (2023). This is mainly suitable to combine visualisations constructed from multiple imputations, however, it can be generalised to combine variations of visualisations from the same datasets (i.e. resamples).

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.