plotPC

internal

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

plotPC function

<dl><dt>coord</dt>
<dd>coordinate representation of points</dd>
<dt>groups</dt>
<dd>grouping from clustering is numeric or can be made numeric by as.numeric</dd>
<dt>benchmarkIds</dt>
<dd>index values of benchmarks</dd>
<dt>filt</dt>
<dd>filter of groups</dd>
<dt>c</dt>
<dd>centre</dd>
<dt>s</dt>
<dd>rescale (default=TRUE)</dd>
<dt>a</dt>
<dd>alpha transarancy for drawing non-benchmark points (default=0.2)</dd>
<dt>pal</dt>
<dd>pallete for colour assignment</dd></dl>

Arguments

Make parallel coordinate plot — plotPC

<dl>

<dt>coord</dt>
<dd>coordinate representation of points</dd>


<dt>groups</dt>
<dd>grouping from clustering is numeric or can be made numeric by as.numeric</dd>


<dt>benchmarkIds</dt>
<dd>index values of benchmarks</dd>


<dt>filt</dt>
<dd>filter of groups</dd>


<dt>c</dt>
<dd>centre</dd>


<dt>s</dt>
<dd>rescale (default=TRUE)</dd>


<dt>a</dt>
<dd>alpha transarancy for drawing non-benchmark points (default=0.2)</dd>


<dt>pal</dt>
<dd>pallete for colour assignment</dd>

</dl>

plotPC: Make parallel coordinate plot

Description

Usage

Value

Arguments