plotDistribution function

Plot distribution of EMOA indicators.

Visualizes of empirical distributions of unary EMOA indicator based on the results of computeIndicators.

plotDistribution(
  inds,
  plot.type = "boxplot",
  fill = "algorithm",
  facet.type = "grid",
  facet.args = list(),
  logscale = character()
)

Arguments

• inds: [data.frame]

  Data frame with columns algorithm , prob , repl and one additional column per EMOA indicator.

• plot.type: [character(1)]

  Either boxplot (the default) for boxplots or violin for violin plots.

• fill: [character(1)]

  Variable used to fill boxplots. Default is algorithm .

• facet.type: [character(1)]

  Which faceting method to use? Pass wrap for facet_wrap

  or grid for facet_grid. Default is wrap .

• facet.args: [list]

  Named list of arguments passed down to facet_wrap or facet_grid respectively (depends on facet.type). E.g., nrow to change layout. Default is the empty list. In this case data is grouped by problem and indicator.

• logscale: [character]

  Vector of indicator names which should be log-transformed prior to visualization. Default is the empty character vector.

Returns

[ggplot]

See Also

Other EMOA performance assessment tools: approximateNadirPoint(), approximateRefPoints(), approximateRefSets(), computeDominanceRanking(), emoaIndEps(), makeEMOAIndicator(), niceCellFormater(), normalize(), plotFront(), plotScatter2d(), plotScatter3d(), toLatex()