UtilMeanSquares: Calculate mean squares for factorial dataset

In dpc10ster/rjafroc: Artificial Intelligence Systems and Observer Performance

Calculate mean squares for factorial dataset

Description

Calculates the mean squares used in the DBM and ORH methods for factorial dataset

Usage

UtilMeanSquares(dataset, FOM = "Wilcoxon", FPFValue = 0.2, method = "DBM")

Arguments

dataset	The dataset to be analyzed, see RJafroc-package.
FOM	The figure of merit to be used in the calculation. The default is "FOM_wAFROC". See UtilFigureOfMerit.
FPFValue	Only needed for LROC data and FOM = "PCL" or "ALROC"; where to evaluate a partial curve based figure of merit. The default is 0.2.
method	The method, in which the mean squares are calculated. The two valid choices are "DBM" (default) and "OR".

Details

For DBM method, msT, msTR, msTC, msTRC will not be available if the dataset contains only one modality (NAs are returned). Similarly, msR, msTR, msRC, msTRC NAs are returned for single reader dataset. For ORH method, msT, msR, msTR will be returned for multiple reader multiple modality dataset. msT is not available for single modality dataset and msR is not available for single reader dataset.

Value

A list containing the mean squares

Examples

result <- UtilMeanSquares(dataset02, FOM = "Wilcoxon")
result <- UtilMeanSquares(dataset05, FOM = "wAFROC", method = "OR")

dpc10ster/rjafroc documentation built on Jan. 18, 2024, 4:37 a.m.