missmi

This function produces a list of elements to be used when producing a GPAbin biplot.

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

missmi function

<dl><dt>data</dt>
<dd>input data frame or list</dd></dl>

Arguments

First step before constructing unified biplots — missmi

<dl>

<dt>data</dt>
<dd>input data frame or list</dd>

</dl>

missmi: First step before constructing unified biplots

Description

Usage

Value

Arguments

Examples