pullCoords

Computes coordinate values by comparing observed values
to the reference, using the covariance matrix as when
computing the chi-squared loss.

A 'shiny' GUI that performs high dimensional cluster analysis.
This tool performs data preparation, clustering and visualisation within a dynamic GUI.
With interactive methods allowing the user to change settings all without having to to leave the GUI.
An earlier version of this package was described in Laa and Valencia (2022) <doi:10.1140/epjp/s13360-021-02310-1>.

Gabriel McCoy

pandemonium

High Dimensional Analysis in Linked Spaces

Ursula Laa

German Valencia

pullCoords function

<dl><dt>df</dt>
<dd>data frame</dd>
<dt>covInv</dt>
<dd>inverse covariance matrix</dd>
<dt>exp</dt>
<dd>reference values</dd>
<dt>...</dt>
<dd>other expected values of getCoords</dd></dl>

Arguments

Chi-Squared Loss Function Coordinates — pullCoords

<dl>

<dt>df</dt>
<dd>data frame</dd>


<dt>covInv</dt>
<dd>inverse covariance matrix</dd>


<dt>exp</dt>
<dd>reference values</dd>


<dt>...</dt>
<dd>other expected values of getCoords</dd>

</dl>

pullCoords: Chi-Squared Loss Function Coordinates

Description

Usage

Value

Arguments

Examples