generate_data.ECDF

This function generates a dataframe which can be easily plotted using the `plot_general_data`-function

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

generate_data.ECDF function

<dl><dt>dsList</dt>
<dd>The DataSetList object</dd>
<dt>targets</dt>
<dd>A list or data.table containing the targets per function / dimension. If this is
a data.table, it needs columns 'target', 'DIM' and 'funcId'</dd>
<dt>scale_log</dt>
<dd>Wheterh to use logarithmic scaling or not</dd>
<dt>which</dt>
<dd>Whether to use a fixed-target 'by_RT' perspective or fixed-budget 'by_FV'</dd>
<dt>use_full_range</dt>
<dd>Whether or not to use the full range of the x-axis or cut it off as soon as
all algorithms reach 98% success (+10% buffer). Only supported in the case of one function and dimension</dd></dl>

Arguments

Generate dataframe of a single function/dimension pair — generate_data.ECDF

<dl>

<dt>dsList</dt>
<dd>The DataSetList object</dd>


<dt>targets</dt>
<dd>A list or data.table containing the targets per function / dimension. If this is
a data.table, it needs columns 'target', 'DIM' and 'funcId'</dd>


<dt>scale_log</dt>
<dd>Wheterh to use logarithmic scaling or not</dd>


<dt>which</dt>
<dd>Whether to use a fixed-target 'by_RT' perspective or fixed-budget 'by_FV'</dd>


<dt>use_full_range</dt>
<dd>Whether or not to use the full range of the x-axis or cut it off as soon as
all algorithms reach 98% success (+10% buffer). Only supported in the case of one function and dimension</dd>

</dl>

generate_data.ECDF: Generate dataframe of a single function/dimension pair

Description

Usage

Arguments

Examples