plotRankDistribution {exreport}

Boxplot for the ranks distribution and control hypotheses from multiple test

Description

This function generates a boxplot from a testMultiple statistical test showing the ordered distrubution of rankings for each method computed for the Friedman test. If the input test features a control multiple comparison then the rejected hypotheses by the Holm methd are also indicates in the plot.

Usage

plotRankDistribution(testMultiple)

Arguments

testMultiple

The statistical test from which the plot is generated. The functions accepts either control and pairwise multiple tests.

Value

an experiment 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 = "yes"))
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
plotRankDistribution(test)
cat()