createRankMatrixBarPlot: Create a rank matrix bar plot

In collinleiber/benchmarkVis: Benchmark result visualisation

Description

Create a plotly rank matrix bar plot out of a benchmarkVis compatible data table. The created bar plot shows the frequency of the ranks each input achieves depending on a group and measures. The value defined in "color.by" can get one rank per value in "group.by" and measure. x-Axis: the ranks. y-Axis: the frequency.

Usage

createRankMatrixBarPlot(dt, ignore.measures = vector(), stacked = TRUE,
  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 bars should be stacked (default: TRUE)
color.by	the column to color the bars with. Possibilities: "algorithm", "problem", "replication" (default: "algorithm")
group.by	the column to group the bars by. Possibilities: "algorithm", "problem", "replication" (default: "problem")

Value

a plotly rank matrix bar plot

Examples

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

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