plotComplexRoc {Rtpca} | R Documentation

## Plot Complex ROC curve

### Description

Plots a ROC curve representing how well a given TPP dataset recovers annotated proteins complexes. The ROC curve is generated based on the supplied protein complex annotation specificity is assessed by comparing the given complex annotation to random permutations of that table, i.e. proteins randomly grouped together.

### Usage

    plotComplexRoc(tpcaObj, computeAUC = FALSE)

### Arguments

`tpcaObj` | tpcaResult object
`computeAUC` | logical parameter indicating whether area under the ROC should be computed and indicated in the lower right corner of the plot

### Value

ggplot object of a receiver operating curve (ROC)

### Examples

    rocTab = data.frame(
        TPR = c(0, 0.1, 0.2, 0.4, 0.5, 0.7, 0.9, 1),
        FPR = c(0, 0.05, 0.1, 0.2, 0.5, 0.7, 0.9, 1)
    )

    tpcaTest <- new(
        "tpcaResult",
        ComplexRocTable = rocTab)

    plotComplexRoc(tpcaTest)

[Package Rtpca version 1.2.0 Index]