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()