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IOHanalyzer
View on CRAN: Click
here
Download and install IOHanalyzer package within the R console
Install from CRAN:
install.packages("IOHanalyzer")
Install from Github:
library("remotes")
install_github("cran/IOHanalyzer") Install by package version:
library("remotes")
install_version("IOHanalyzer", "0.1.8.17") Attach the package and use:
library("IOHanalyzer")
Maintained by
Diederick Vermetten
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-03
Latest Update: 2024-03-01
Description:
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.
How to cite:
Diederick Vermetten (2019). IOHanalyzer: Data Analysis Part of 'IOHprofiler'. R package version 0.1.8.17, https://cran.r-project.org/web/packages/IOHanalyzer. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.1.0 (2019-05-03 14:00), 0.1.1 (2019-05-29 15:40), 0.1.3 (2020-01-10 16:30), 0.1.4 (2020-06-24 19:50), 0.1.5.2 (2021-05-31 17:40), 0.1.6.1 (2021-10-21 14:30), 0.1.6.3 (2022-03-09 09:20), 0.1.8.2 (2023-09-20 12:30), 0.1.8.6 (2023-12-04 15:30), 0.1.8.10 (2024-03-01 13:52), 0.1.8.17 (2025-11-21 11:00)
Other packages that cited IOHanalyzer R package
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Other R packages that IOHanalyzer depends,
imports, suggests or enhances
Complete documentation for IOHanalyzer
Functions, R codes and Examples using
the IOHanalyzer R package
Some associated functions: AUC . DataSet . DataSetList . ECDF . IOH_plot_ly_default . IOHanalyzer . IOHanlyzer-deprecated . Plot.Comparison.Heatmap . Plot.FV.Aggregated . Plot.FV.ECDF_AUC . Plot.FV.ECDF_Per_Target . Plot.FV.ECDF_Single_Func . Plot.FV.Histogram . Plot.FV.Multi_Func . Plot.FV.PDF . Plot.FV.Parameters . Plot.FV.Single_Func . Plot.Performviz . Plot.RT.Aggregated . Plot.RT.ECDF_AUC . Plot.RT.ECDF_Multi_Func . Plot.RT.ECDF_Per_Target . Plot.RT.ECDF_Single_Func . Plot.RT.Histogram . Plot.RT.Multi_Func . Plot.RT.PMF . Plot.RT.Parameters . Plot.RT.Single_Func . Plot.Stats.Glicko2_Candlestick . Plot.Stats.Significance_Graph . Plot.Stats.Significance_Heatmap . SP . arrange . as.character.DataSet . bootstrap_RT . c.DataSet . c.DataSetList . cat.DataSet . change_id . check_dsc_configured . check_format . clean_DataSetList . dsl . dsl_large . equals-.DataSet . fast_RT_samples . generate_data.AUC . generate_data.Aggr . generate_data.ECDF . generate_data.ECDF_raw . generate_data.Heatmaps . generate_data.PMF . generate_data.Parameters . generate_data.Single_Function . generate_data.hist . get_ECDF_targets . get_ERT . get_FV_overview . get_FV_sample . get_FV_summary . get_PAR_name . get_PAR_sample . get_PAR_summary . get_RT_overview . get_RT_sample . get_RT_summary . get_algId . get_color_scheme . get_color_scheme_dt . get_default_ECDF_targets . get_dim . get_dsc_omnibus . get_dsc_posthoc . get_dsc_rank . get_funcId . get_funcName . get_funvals . get_id . get_line_style . get_marg_contrib_ecdf . get_maxRT . get_ontology_data . get_ontology_var . get_overview . get_parId . get_position_dsl . get_runtimes . get_shapley_values . get_static_attribute_values . get_static_attributes . get_target_dt . glicko2_ranking . limit.data . max_ERTs . mean_FVs . pairwise.test . plot_general_data . print.DataSet . print.DataSetList . read_index_file . register_DSC . runServer . save_plotly . save_table . scan_index_file . seq_FV . seq_RT . set_DSC_credentials . set_color_scheme . sub-.DataSetList . subset.DataSet . subset.DataSetList . summary.DataSet . summary.DataSetList .
Some associated R codes: DataSet.R . DataSetList.R . IOHanalyzer-deprecated.R . IOHanalyzer.R . RcppExports.R . data.R . plot.R . plotDataSetList.R . readFiles.R . runServer.R . stats.R . Full IOHanalyzer package functions and examples
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