Plot Pareto-front.

Plots a scatterplot of non-dominated points in the objective space utilizing the ggplot2 package. The function returns a ggplot object which can be furhter modified via additional ggplot layers. If the passed object is a data.frame, each line is considered to contain the fitness values of one individual. Contrary, if a matrix is passed, it is considered to be passed in ecr2 format, i.e., each column corresponds to one point. The matrix is then transposed and converted to a data.frame.

plotFront(x, obj.names = NULL, minimize = TRUE)

Arguments

x	[matrix | data.frame] Object which contains the non-dominated points.
obj.names	[character] Optional objectives names. Default is c("f1", "f2").
minimize	[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.

Value

[ggplot] ggplot object.

Note

At the moment only two-dimensional objective spaces are supported.

Examples

matrix
#> function (data = NA, nrow = 1, ncol = 1, byrow = FALSE, dimnames = NULL) 
#> {
#>     if (is.object(data) || !is.atomic(data)) 
#>         data <- as.vector(data)
#>     .Internal(matrix(data, nrow, ncol, byrow, dimnames, missing(nrow), 
#>         missing(ncol)))
#> }
#> <bytecode: 0x7f967c28e4a0>
#> <environment: namespace:base>