This function contains the OPA function to compare two configurations and the GPA function for multiple configuration comparisons

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).

Johané Nienkemper-Swanepoel

GPAbin

Unifying Multiple Biplot Visualisations into a Single Display

GPA function

<dl><dt>Xk</dt>
<dd>list containing the testee configurations which is updated on #each iteration</dd>
<dt>G.target</dt>
<dd>Target configuration. If not specified the centroid configuration will be used as the target</dd>
<dt>iter</dt>
<dd>Number of iterations allowed before convergence</dd>
<dt>eps</dt>
<dd>Threshold value for convergence of the alogrithm</dd></dl>

Arguments

Generalised Orthogonal Procrustes Analysis — GPA

<dl>

<dt>Xk</dt>
<dd>list containing the testee configurations which is updated on #each iteration</dd>


<dt>G.target</dt>
<dd>Target configuration. If not specified the centroid configuration will be used as the target</dd>


<dt>iter</dt>
<dd>Number of iterations allowed before convergence</dd>


<dt>eps</dt>
<dd>Threshold value for convergence of the alogrithm</dd>

</dl>

GPA: Generalised Orthogonal Procrustes Analysis

Description

Usage

Value

Arguments