DiscriminantPower: Discriminant Power

Description Usage Arguments Value Author(s) References See Also Examples

View source: R/DiscriminantPower.R

Description

The Discriminant Power summarizes sensitivity and specificity.

Usage

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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.

Author(s)

Luciano Garofano [email protected], Stefano Maria Pagnotta, Michele Ceccarelli

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

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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)

lucgar/synRNASeqNet documentation built on May 21, 2017, 3:39 p.m.