plotCumulativeRank: Area plot for the rank distribution from a multiple test

In exreport: Fast, Reliable and Elegant Reproducible Research

Description

This function builds an area plot from a testMultiple object displaying the cumulative value for each method for all the evaluated problems. The value for the rankings is obtained from the Friedman test independently of the scope of the test (control or pairwise).

Usage

plotCumulativeRank(testMultiple, grayscale = FALSE)

Arguments

testMultiple	Statistical test from which the plot is generated. The rankings are obtained from the Friedman test.
grayscale	Configure the plot using a grayscale palette.

Value

an exPlot object

Examples

# First we create an experiment from the wekaExperiment problem and prepare
# it to apply the test:
experiment <- expCreate(wekaExperiment, name="test", parameter="fold")
experiment <- expReduce(experiment, "fold", mean)
experiment <- expSubset(experiment, list(featureSelection = "no"))
experiment <- expInstantiate(experiment, removeUnary=TRUE)

# Then we perform a Friedman test included ina a testMultipleControl
# test procedure
test <- testMultipleControl(experiment, "accuracy")

# Finally we obtain the plot
plotCumulativeRank(test)
cat()

exreport documentation built on May 1, 2019, 10:13 p.m.