This function performs Orthogonal Procrustes Analysis on centred data

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

OPA function

<dl><dt>missbp</dt>
<dd>An object of class <code>missmi</code> obtained from preceding function <code>missmi()</code></dd>
<dt>compdat</dt>
<dd>Complete data set, only available for simulated data examples.</dd>
<dt>centring</dt>
<dd>Logical argument to apply centering, default is <code>TRUE</code>.</dd>
<dt>dim</dt>
<dd>Number of dimensions to use in final solutions (<code>2D</code> or <code>All</code> available dimensions.)</dd></dl>

Arguments

Orthogonal Procrustes Analysis — OPA

<dl>

<dt>missbp</dt>
<dd>An object of class <code>missmi</code> obtained from preceding function <code>missmi()</code></dd>


<dt>compdat</dt>
<dd>Complete data set, only available for simulated data examples.</dd>


<dt>centring</dt>
<dd>Logical argument to apply centering, default is <code>TRUE</code>.</dd>


<dt>dim</dt>
<dd>Number of dimensions to use in final solutions (<code>2D</code> or <code>All</code> available dimensions.)</dd>

</dl>

OPA: Orthogonal Procrustes Analysis

Description

Usage

Value

Arguments