get_dsc_posthoc

Perform post-hoc processing on data from DSCtool

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

get_dsc_posthoc function

<dl><dt>omni_res</dt>
<dd>The result from a call to `get_dsc_omnibus`</dd>
<dt>nr_algs</dt>
<dd>The number of algorithms present in `omni_res`</dd>
<dt>nr_problems</dt>
<dd>The number of problems present in `omni_res`</dd>
<dt>base_algorithm</dt>
<dd>The base algorithm to which the other are compared.
This has to be present in `omni_res$algorithm_means` as an `algorithm` property</dd>
<dt>method</dt>
<dd>Either 'friedman' or 'friedman-aligned-rank'</dd>
<dt>alpha</dt>
<dd>Threshold value for statistical significance</dd></dl>

Arguments

Perform post-hoc processing on data from DSCtool — get_dsc_posthoc

<dl>

<dt>omni_res</dt>
<dd>The result from a call to `get_dsc_omnibus`</dd>


<dt>nr_algs</dt>
<dd>The number of algorithms present in `omni_res`</dd>


<dt>nr_problems</dt>
<dd>The number of problems present in `omni_res`</dd>


<dt>base_algorithm</dt>
<dd>The base algorithm to which the other are compared.
This has to be present in `omni_res$algorithm_means` as an `algorithm` property</dd>


<dt>method</dt>
<dd>Either 'friedman' or 'friedman-aligned-rank'</dd>


<dt>alpha</dt>
<dd>Threshold value for statistical significance</dd>

</dl>

get_dsc_posthoc: Perform post-hoc processing on data from DSCtool

Description

Usage

Value

Arguments

Examples