SWAP.PlotKTSP.TrainTestROC: Plots an ROC curve for training and testing results.

In switchBox: Utilities to train and validate classifiers based on pair switching using the K-Top-Scoring-Pair (KTSP) algorithm

Description

Given the output from SWAP.GetKTSP.TrainTestResults(), plots the training and testing ROC curves.

Usage

SWAP.PlotKTSP.TrainTestROC(result, colors=c(), legends=c(), ...)

Arguments

result	is either the output from SWAP.GetkTSPTrainTestResults, or if manually prepared, a list with items trainroc and testroc items, where each is an ROC object produced by the pROC library.
colors	is a character vector indicating the color to be used for each curve.
legends	is a character vector providing any additional information to be appended to each curve label in the legend.

Value

Produces a plot with two ROC curves corresponding to training results and testing/validation results.

Author(s)

Bahman Afsari [e-mail], Luigi Marchionni [e-mail], Wikum Dinalankara [e-mail]

References

See switchBox for the references.

See Also

SWAP.GetkTSPTrainTestResults

Examples

### Load gene expression data
data(trainingData)
data(testingData)

require(pROC)

### perform training and testing
result = SWAP.GetKTSP.TrainTestResults(matTraining, trainingGroup, 
  matTesting, testingGroup, featureNo=100)

### plot ROC curves
SWAP.PlotKTSP.TrainTestROC(result)

switchBox documentation built on Nov. 8, 2020, 5:43 p.m.