plotRankDistribution

Boxplot for the ranks distribution and control hypotheses from multiple test

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

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.

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)

[1] "Distribution of ranks for output \"accuracy\""
cat()

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