Description Usage Arguments Value Examples
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.
1 2 | createDensityRankPlot(dt, ignore.measures = vector(), stacked = FALSE,
color.by = "algorithm", group.by = "problem")
|
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") |
a plotly density rank plot
1 | createDensityRankPlot(mlr.benchmark.example, c("measure.timetrain.test.mean","measure.mmce.test.mean"))
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