createParameterScatterPlot: Create a parameter scatter plot

In collinleiber/benchmarkVis: Benchmark result visualisation

Description

This plot is just usable if at least one parameter column is contained in the data table. Create a plotly scatter plot out of a benchmarkVis compatible data table. The created scatter plot shows the connection between the specified measure and parameter values. x-Axis: the parameter. y-Axis: the measure.

Usage

createParameterScatterPlot(dt, measure, parameter.column, parameter,
  color.by = "algorithm", show.histogram = FALSE, regression.line = FALSE)

Arguments

dt	compatible data table
measure	the column name containing the results of a measure
parameter.column	the parameter column which contains the parameter
parameter	the parameter you want to examine
color.by	the column to color the markers with. Possibilities: "algorithm", "problem", "replication" (default: "algorithm")
show.histogram	shows the histogram of the measure values in the background (default: FALSE)
regression.line	add a regression line to the plot (default: FALSE)

Value

a plotly scatter plot

Examples

createParameterScatterPlot(mlr.tuning.example, "measure.acc.test.mean", "algorithm.parameter", "C", "algorithm", TRUE)

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