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

Simulates a multiple-modality multiple-reader "AUC-equivalent" LROC dataset from a supplied FROC dataset.

DfFroc2Lroc(dataset)

Arguments

dataset

The FROC dataset to be converted to LROC.

Value

The AUC-equivalent LROC dataset

Details

The FROC paradigm can have 0 or more marks per case. However, LROC is restricted to exactly one mark per case. For the NL array of the LROC data, for non-disesed cases, the highest rating of the FROC marks, or -Inf if there are no marks, is copied to case index k1 = 1 to k1 = K1 of the LROC dataset. For each diseased case, if the max LL rating exceeds the max NL rating, then the max LL rating is copied to the LL array, otherwise the max NL rating is copied to the LL_IL array. The max NL rating on each diseased case is then set to -Inf (since the LROC paradigm only allows one mark. 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 Significance testing functions using MRMC LROC datasets, which I currently don't have.

Examples

lrocDataset <- DfFroc2Lroc(dataset05)
frocHrAuc <- UtilFigureOfMerit(dataset05, FOM = "HrAuc")   
lrocWilcoxonAuc <- UtilFigureOfMerit(lrocDataset, FOM = "Wilcoxon")
testthat::expect_equal(frocHrAuc, lrocWilcoxonAuc)