plotROC: Plot ROC Curve

In synRNASeqNet: Synthetic RNA-Seq Network Generation and Mutual Information Estimates

Description

A function that automatically produce a plot of the ROC (Receiver Operating Characteristic) Curve.

Usage

plotROC(piNet, ...)

Arguments

piNet	the matrix generated from the performanceIndex function.
...	other parameters to be added to the plot function.

Author(s)

Luciano Garofano [e-mail], Stefano Maria Pagnotta, Michele Ceccarelli

See Also

plotPR

Examples

simData <- simulatedData(p = 10, n = 20, mu = 100, sigma = 0.25,
                        ppower = 0.73, noise = FALSE)
counts <- simData$counts
adjMat <- simData$adjMat

miML <- parMIEstimate(counts, method = "ML", unit = "nat", nchips = 2)
valML <- performanceIndex(miML, adjMat)

plotROC(valML, col = "red")

synRNASeqNet documentation built on May 2, 2019, 6:01 a.m.