ggplotHeatmap: Visualize Heatmap of Multi-Objective Gradients.
In kerschke/moPLOT: Visualizing Multi-Objective Optimization Problems

ggplotHeatmap

R Documentation

Visualize Heatmap of Multi-Objective Gradients.

Description

Visualization of the multi-objective gradient landscape by means of a heatmap and on the basis of the ggplot2-package.

Usage

ggplotHeatmap(
  df,
  var1 = "x1",
  var2 = "x2",
  log.scale = TRUE,
  impute.zero = TRUE,
  minimalistic.image = FALSE,
  color.palette,
  legend.position,
  ...
)

Arguments

`df`	[`data.frame()`] Data frame as returned by `computeCumulatedPathLengths()`.
`var1`	[`⁠[character](1L)⁠`] Name of the variable indicating the first dimension (default: `"x1"`).
`var2`	[`⁠[character](1L)⁠`] Name of the variable indicating the second dimension (default: `"x2"`).
`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`.