Unifying Multiple Biplot Visualisations into a Single Display
Biplot function
Category level prediction
Dimension reduction
Evaluation measures when complete data is available
Generalised Orthogonal Procrustes Analysis
Function to unify coordinates of multiple configurations
Multiple imputation
First step before constructing unified biplots
Orthogonal Procrustes Analysis
Generic print function for objects of class missmi
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)<doi:10.1080/03610918.2021.1914089>. 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).