plotSigBin

Parameter values no longer need to be on a regular grid pattern for this plot.(modified)

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

plotSigBin function

<dl><dt>wc</dt>
<dd>parameter values as matrix</dd>
<dt>interest</dt>
<dd>logical vector showing that points are intersting</dd>
<dt>bmID</dt>
<dd>index values for the benchmark points</dd>
<dt>sigmabins</dt>
<dd>binning in sigma</dd>
<dt>x, y</dt>
<dd>variables names (as string) to map to x and y axis</dd>
<dt>binName</dt>
<dd>name for title</dd>
<dt>cond</dt>
<dd>row numbers of points used for conditioning</dd>
<dt>colourSet</dt>
<dd>RColorBrewer set for colouring</dd></dl>

Arguments

Plot sigma bins in parameter space — plotSigBin

<dl>

<dt>wc</dt>
<dd>parameter values as matrix</dd>


<dt>interest</dt>
<dd>logical vector showing that points are intersting</dd>


<dt>bmID</dt>
<dd>index values for the benchmark points</dd>


<dt>sigmabins</dt>
<dd>binning in sigma</dd>


<dt>x, y</dt>
<dd>variables names (as string) to map to x and y axis</dd>


<dt>binName</dt>
<dd>name for title</dd>


<dt>cond</dt>
<dd>row numbers of points used for conditioning</dd>


<dt>colourSet</dt>
<dd>RColorBrewer set for colouring</dd>

</dl>

plotSigBin: Plot sigma bins in parameter space

Description

Usage

Value

Arguments