createDualMeasurePlot: Create a Dual Measure plot

In collinleiber/benchmarkVis: Benchmark result visualisation

Description

Create a Dual Measure plot out of a benchmarkVis compatible data table. The created Dual Measure plot allows to compare the performance of the color.by input based on two giving performance measures. x-Axis: measure1. y-Axis: measure2.

Usage

createDualMeasurePlot(dt, measure1, measure2, color.by = "algorithm",
  interaction.column = "none", regression.line = FALSE)

Arguments

dt	compatible data table
measure1	the first measure for comparison
measure2	the second measure for comparison
color.by	the column to color the markers with. Possibilities: "algorithm", "problem", "replication" (default: "algorithm")
interaction.column	will result in colors being an interaction of color.by and this value. Possibilities: "algorithm", "problem", "replication", "none" (default: "none")
regression.line	add a regression line to the plot (default: FALSE)

Value

a dual measure plot

Examples

createDualMeasurePlot(mlr.benchmark.example, "measure.mmce.test.mean","measure.ber.test.mean")

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