The function expects a data.frame or a matrix. By default the first
2 or 3 columns/rows are assumed to contain the elements of the approximation sets.
Depending on the number of numeric columns (in case of a data.frame) or the
number of rows (in case of a matrix) the function internally calls
plotScatter2d or plotScatter3d.
plotFront(x, obj.names = NULL, minimize = TRUE, ...)[ggplot] ggplot object.
[matrix | data.frame]
Object which contains the approximations sets.
[character]
Optional objectives names.
Default is c("f1", "f2").
[logical]
Logical vector with ith entry TRUE if the ith objective shall be minimized.
If a single logical is passed, it is assumed to be valid for each objective.
If the matrix is of type ecr_fitness_matrix (this is the case if it is
produced by one of ecr2's utility functions, e.g. evaluateFitness),
the appended minimize attribute is the default.
[any]
Not used at the moment.
Other EMOA performance assessment tools:
approximateNadirPoint(),
approximateRefPoints(),
approximateRefSets(),
computeDominanceRanking(),
emoaIndEps(),
makeEMOAIndicator(),
niceCellFormater(),
normalize(),
plotDistribution(),
plotScatter2d(),
plotScatter3d(),
toLatex()