auc {GRridge} | R Documentation

## Area under the ROC curve

### Description

Computes Area-under-the-ROC-curve

### Usage

    auc(rocout)

### Arguments

`rocout` | Matrix with two rows

### Details

Operates on the output of `roc`. The rows of the input matrix represent the False Positive Rates (FPR) and corresponding True Positive Rates (TPR) at fixed thresholds.

### Value

Numeric. Interpolated Area-under-the-ROC-curve.

### Author(s)

Mark A. van de Wiel

### See Also

ROC-curves: `roc`. creating multiple partitions: `CreatePartition`. Examples: `grridge`.

### Examples

    # Load data objects
    data(dataFarkas)

    ## In this example, we provide one partition only
    ## see "CreatePartition" for examples in creating multiple partitions
    firstPartition <- CreatePartition(CpGannFarkas)

    # grFarkas <- grridge(datcenFarkas,respFarkas, firstPartition,monotone=FALSE)

    ## Prediction of the grridge model to the training samples
    #cutoffs <- rev(seq(0,1,by=0.1))
    #fakenew <- datcenFarkas
    #yhat <- predict.grridge(grFarkas,fakenew)

    #rocridgeF <- roc(probs=as.numeric(yhat[,2]),true=respFarkas[1:30],cutoffs=cutoffs)
    #auc(rocridgeF)

[Package GRridge version 1.16.0 Index]