Plot.RT.Multi_Func

Plot.RT.Multi_Func.DataSetList

Plot ERT-plots for multiple functions or dimensions

The data analysis module for the Iterative Optimization Heuristics
Profiler ('IOHprofiler'). This module provides statistical analysis methods for the
benchmark data generated by optimization heuristics, which can be visualized through a
web-based interface. The benchmark data is usually generated by the
experimentation module, called 'IOHexperimenter'. 'IOHanalyzer' also supports
the widely used 'COCO' (Comparing Continuous Optimisers) data format for benchmarking.

Diederick Vermetten

IOHanalyzer

Data Analysis Part of 'IOHprofiler'

Hao Wang

Carola Doerr

Thomas Bäck

Plot.RT.Multi_Func function

<dl><dt>dsList</dt>
<dd>A DataSetList (should consist of only one function OR dimension).</dd>
<dt>scale.xlog</dt>
<dd>Whether or not to scale the x-axis logaritmically</dd>
<dt>scale.ylog</dt>
<dd>Whether or not to scale the y-axis logaritmically</dd>
<dt>scale.reverse</dt>
<dd>Wheter or not to reverse the x-axis (when using minimization)</dd>
<dt>backend</dt>
<dd>Which plotting library to use. Either 'plotly' or 'ggplot2'.</dd></dl>

Arguments

Plot ERT-plots for multiple functions or dimensions — Plot.RT.Multi_Func

<dl>

<dt>dsList</dt>
<dd>A DataSetList (should consist of only one function OR dimension).</dd>


<dt>scale.xlog</dt>
<dd>Whether or not to scale the x-axis logaritmically</dd>


<dt>scale.ylog</dt>
<dd>Whether or not to scale the y-axis logaritmically</dd>


<dt>scale.reverse</dt>
<dd>Wheter or not to reverse the x-axis (when using minimization)</dd>


<dt>backend</dt>
<dd>Which plotting library to use. Either 'plotly' or 'ggplot2'.</dd>

</dl>

Plot.RT.Multi_Func: Plot ERT-plots for multiple functions or dimensions

Description

Usage

Value

Arguments

Examples