datasetBinned125: Binned dataset suitable for checking 'FitCorCbm'; seed = 125

In RJafroc: Artificial Intelligence Systems and Observer Performance

Binned dataset suitable for checking FitCorCbm; seed = 125

Description

A binned dataset suitable for analysis by FitCorCbm. It was generated by DfCreateCorCbmDataset by setting the seed variable to 125. Otherwise similar to datasetBinned123.

Usage

datasetBinned125

Format

A list with 3 elements: $ratings, $lesions and $descriptions; $ratings contain 3 elements, $NL, $LL and $LL_IL as sub-lists; $lesions contain 3 elements, $perCase, $IDs and $weights as sub-lists; $descriptions contain 7 elements, $fileName, $type, $name, $truthTableStr, $design, $modalityID and $readerID as sub-lists;

• rating$NL, num [1, 1:2, 1:10000, 1], ratings of non-lesion localizations, NLs

• rating$LL, num [1, 1:2, 1:5000, 1], ratings of lesion localizations, LLs

• rating$LL_ILNA, this placeholder is used only for LROC data

• lesions$perCase, int [1:5000], number of lesions per diseased case

• lesions$IDs, num [1:5000, 1] , numeric labels of lesions on diseased cases

• lesions$weights, num [1:5000, 1], weights (or clinical importances) of lesions

• descriptions$fileName, chr, "datasetBinned125", base name of dataset in 'data' folder

• descriptions$type, chr "ROC", the data type

• descriptions$name, chr "SIM-CORCBM-SEED-125", the name of the dataset

• descriptions$truthTableStr, NA, truth table structure

• descriptions$design, chr "FCTRL-X-MOD", study design, factorial dataset

• descriptions$modalityID, chr "1", treatment label(s)

• descriptions$readerID, chr [1:2] "1" "2", reader labels

References

Zhai X, Chakraborty DP (2017). A bivariate contaminated binormal model for robust fitting of proper ROC curves to a pair of correlated, possibly degenerate, ROC datasets. Medical Physics. 44(6):2207–2222.

Examples

str(datasetBinned125)

RJafroc documentation built on Nov. 10, 2022, 5:45 p.m.