plotRankDistribution: Boxplot for the ranks distribution and control hypotheses...
In exreport: Fast, Reliable and Elegant Reproducible Research

Description Usage Arguments Value Examples

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.

1	plotRankDistribution(testMultiple)

testMultiple

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

an experiment object

# 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()