UtilPseudoValues: Pseudovalues for given dataset and FOM

In RJafroc: Artificial Intelligence Systems and Observer Performance

Pseudovalues for given dataset and FOM

Description

Returns centered jackknife pseudovalues AND jackknife FOM values, for factorial OR split-plot-a OR split-plot-c study designs

Usage

UtilPseudoValues(dataset, FOM, FPFValue = 0.2)

Arguments

dataset	The dataset to be analyzed, see RJafroc-package; must be factorial, or split-plot-a or split-plot-c.
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.

Value

A list containing two arrays containing the pseudovalues and the jackknife FOM values of the datasets (a third returned value is for internal use).

Note

Each returned array has dimension c(I,J,K), where K depends on the FOM: K1 for FOMs that are based on normal cases only, K2 for FOMs that are based on abnormal cases only, and K for FOMs that are based on normal and abnormal cases.

Examples

UtilPseudoValues(dataset05, FOM = "wAFROC")$jkFomValues[1,1,1:10]

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