missdat

<p><code>compdat</code> containing approximately 35% simulated missing values according to a missing at random (MAR) missing data mechanism</p>

datasets

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

missdat function

<p>A data frame with 1000 rows and 5 columns.</p>

missdat: Missing data example

Description

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Details