createDensityRankPlot: Create a density rank plot

In collinleiber/benchmarkVis: Benchmark result visualisation

Description

Create a plotly sensity plot out of a benchmarkVis compatible data table. The created plot shows the distribution of the ranks each input achieves depending on a group and measures. x-Axis: the ranks. y-Axis: the density.

Usage

createDensityRankPlot(dt, ignore.measures = vector(), stacked = FALSE,
  color.by = "algorithm", group.by = "problem")

Arguments

dt	compatible data table
ignore.measures	a vector of strings describing which measures to leave out of the plot (default: empty)
stacked	defines if the density curves should be stacked. Alternative is transparent. Default: FALSE
color.by	the column to color the input with. Possibilities: "algorithm", "problem", "replication" (default: "algorithm")
group.by	the column to group the ranks by. Possibilities: "algorithm", "problem", "replication" (default: "problem")

Value

a plotly density rank plot

Examples

createDensityRankPlot(mlr.benchmark.example, c("measure.timetrain.test.mean","measure.mmce.test.mean"))

collinleiber/benchmarkVis documentation built on May 28, 2019, 8:23 a.m.