Function reference • ecr3vis

All functions
`cov()`	Coverage / C-metric of two (approximation) sets
`df_get_indicators()`	Calculate multi-objective performance indicators
`dominated()` `nondominated()`	Check for Pareto-dominance
`dominates()` `does_dominate()` `is_dominated()` `%dominates%` `%is_dominated%`	Dominance relation checks
`ecr3vis-package`	ecr3vis: Evolutionary Computation in R (v3.x.x)
`emoas_on_zdt`	Exemplary Pareto-front approximations sets
`eps()`	Binary \(\varepsilon\)-indicator
`gd()` `igd()` `gdp()` `igdp()` `ahd()`	(Inverted) Generational Distance and Average Hausdorff Distance
`hv()` `hv_contr()`	Dominated hypervolume (contribution)
`log_init()`	Logger initialization
`log_update()`	Logger update
`nds()`	Fast non-dominated sorting
`os()`	Overall (Pareto) Spread
`plot_eaf()`	Empirical attainment function (EAF)
`plot_eaf_diff()`	Empirical attainment function (EAF) difference
`plot_heatmap()`	Heatmap
`plot_pcp()`	Parallel coordinate plot (PCP)
`plot_radar()`	Radar/spider plot
`plot_scatter2d()`	2D scatter plot
`plot_scatter3d()`	3D scatter plot
`get_nadir()` `get_ideal()`	Reference point approximation
`r1()` `r2()` `r3()`	R1, R2 and R3-indicator
`rse()`	Riesz \(s\)-energy
`set_dominates()`	Check if one set Pareto-dominates another
`solow_polasky()`	Solow-Polasky measure
`which_dominated()` `which_nondominated()` `is_maximally_dominated()`	Determine which points of a set are (non)dominated

Reference