pullCoordsNoCov

Coordinates are computed as centered by the reference value and
scaled with the standard deviation.
Uses the i,ith entry of the covariance matrix as the standard deviation of the ith variable.

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

pullCoordsNoCov function

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

Arguments

Generic Loss Function Coordinates — pullCoordsNoCov

<dl>

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


<dt>cov</dt>
<dd>covariance matrix</dd>


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


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

</dl>

pullCoordsNoCov: Generic Loss Function Coordinates

Description

Usage

Value

Arguments

Examples