ggplotObjectiveSpace: Visualize Multi-Objective Gradient Landscape in the Objective...
In kerschke/moPLOT: Visualizing Multi-Objective Optimization Problems

ggplotObjectiveSpace

R Documentation

Visualize Multi-Objective Gradient Landscape in the Objective Space.

Description

Use the coloring of the cumulated path lengths (see computeCumulatedPathLengths()) and visualize the corresponding points in the objective space.

Usage

ggplotObjectiveSpace(
  df,
  var1 = "y1",
  var2 = "y2",
  log.scale = TRUE,
  impute.zero = TRUE,
  minimalistic.image = FALSE,
  color.palette,
  legend.position,
  ...
)

Arguments

`df`	[`data.frame()`] Data frame containing the positions of the individuals (per row) and their corresponding cumulated path length (denoted: `"height"`) as returned by `computeCumulatedPathLengths()`.
`var1`	[`⁠[character](1L)⁠`] Name of the variable indicating the first objective (default: `"y1"`).
`var2`	[`⁠[character](1L)⁠`] Name of the variable indicating the second objective (default: `"y2"`).
`log.scale`	[`⁠[logical](1L)⁠`] Should the resulting heights be displayed on a log-scale? The default is `TRUE`.
`impute.zero`	[`⁠[logical](1L)⁠`] Should height values, which are exactly zero be imputed by a value half the magnitude of the smallest non-zero height? Otherwise ggplot will automatically color the corresponding tiles by a color representing `NA` values (usually grey). Note that this parameter is only relevant in case of `log.scale = TRUE`. The default is `TRUE`.
`minimalistic.image`	[`⁠[logical](1L)⁠`] Should all information surrounding the image (axes, legends, background, etc.) be discarded? The default is `FALSE`.
`color.palette`	[`character()`] Vector of colors used for visualizing the different heights of the landscape. By default, this function tries to use the color palettes from `fields::tim.color` or `viridis`. However, if neither of these packages is installed, it will use `terrain.colors`.
`legend.position`	[`⁠[character](1L)⁠`] On which side of the plot, should the legend be located? If this information is not provided and `minimalisitic.image = FALSE`, the legend will be placed on the right side.
`...`	any Further arguments to be passed to the `geom_tile` function of `ggplot`.