synRNASeqNet (version 1.0)

DiscriminantPower: Discriminant Power

Description

The Discriminant Power summarizes sensitivity and specificity.

Usage

DiscriminantPower(resTable)

Arguments

resTable

the data.frame generated from the performanceNET (or one of the row of the matrix generated from the performanceIndex) function.

Value

The DiscriminantPower function returns the value of the Discriminant Power for a given predicted adjacency matrix.

References

Sokolova M., Japkowicz N., Szpakowicz S. (2006). Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation. Lecture Notes in Computer Science Volume 4304, 2006, pp 1015-1021.

See Also

YoudenIndex, Likelihoods

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)
miML <- aracne.a(miML, eps = 0.5)

valML <- performanceNET(miML, adjMat)
DP <- DiscriminantPower(valML)