pooled_vc

This function computes the group variance-covariance
matrices, and produces a weighted average. It is useful
for examining the linear discriminant analysis model.

This is a companion to the book Cook, D. and Laa, U. (2023) <https://dicook.github.io/mulgar_book/>
"Interactively exploring high-dimensional data and models in R".
by Cook and Laa. It contains useful functions for processing data in preparation for
visualising with a tour. There are also several sample data sets.

Di Cook

mulgar

Functions for Pre-Processing Data for Multivariate Data
Visualisation using Tours

Dianne Cook

Ursula Laa

pooled_vc function

<dl><dt>x</dt>
<dd>multivariate data set, matrix.</dd>
<dt>cl</dt>
<dd>class variable</dd>
<dt>prior</dt>
<dd>prior probability for each class, must sum to 1, default all equal</dd></dl>

Arguments

Compute pooled variance-covariance matrix — pooled_vc

<dl>

<dt>x</dt>
<dd>multivariate data set, matrix.</dd>


<dt>cl</dt>
<dd>class variable</dd>


<dt>prior</dt>
<dd>prior probability for each class, must sum to 1, default all equal</dd>

</dl>

pooled_vc: Compute pooled variance-covariance matrix

Description

Usage

Value

Arguments

Examples