Simulates an "AUC-equivalent" FROC dataset from an LROC dataset

Simulates a multiple-modality multiple-reader "AUC-equivalent" FROC dataset from a supplied LROC dataset, e.g., datasetCadLroc.

DfLroc2Froc(dataset)

Arguments

dataset

The LROC dataset to be converted to FROC.

Value

The AUC-equivalent FROC dataset

Details

The LROC paradigm always yields a single mark per case. Therefore the equivalent FROC will also have only one mark per case. The NL arrays of the two datasets are identical. The LL array is created by copying the LLCl array of the LROC dataset to the LL array of the FROC dataset, from diseased case index k2 = 1 to k2 = K2. Additionally, the LLIl array of the LROC dataset is copied to the NL array of the FROC dataset, starting at case index k1 = K1+1 to k1 = K1+K2. Any zero ratings are replace by -Infs. The equivalent FROC dataset has the same HrAuc as the original LROC dataset. See example. The main use of this function is to test the CAD significance testing functions using CAD FROC datasets, which I currently don't have.

Examples

frocDataset <- DfLroc2Froc(datasetCadLroc)
lrocAuc <- UtilFigureOfMerit(datasetCadLroc, FOM = "Wilcoxon")
frocHrAuc <- UtilFigureOfMerit(frocDataset, FOM = "HrAuc")