Plot.Stats.Glicko2_Candlestick

Plot.Stats.Glicko2_Candlestick.DataSetList

Create a candlestick plot of Glicko2-rankings

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.Stats.Glicko2_Candlestick function

<dl><dt>dsList</dt>
<dd>A DataSetList</dd>
<dt>nr_rounds</dt>
<dd>The number of rounds in the tournament</dd>
<dt>glicko2_rank_df</dt>
<dd>Optional. Dataframe containing the glicko2 rating to avoid needless recalculation.</dd>
<dt>which</dt>
<dd>Whether to use fixed-target ('by_FV') or fixed-budget ('by_RT') perspective</dd>
<dt>target_dt</dt>
<dd>Optional: data table containing the targets for each function and dimension</dd></dl>

Arguments

Create a candlestick plot of Glicko2-rankings — Plot.Stats.Glicko2_Candlestick

<dl>

<dt>dsList</dt>
<dd>A DataSetList</dd>


<dt>nr_rounds</dt>
<dd>The number of rounds in the tournament</dd>


<dt>glicko2_rank_df</dt>
<dd>Optional. Dataframe containing the glicko2 rating to avoid needless recalculation.</dd>


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


<dt>target_dt</dt>
<dd>Optional: data table containing the targets for each function and dimension</dd>

</dl>

Plot.Stats.Glicko2_Candlestick: Create a candlestick plot of Glicko2-rankings

Description

Usage

Arguments

Examples