RJafroc (version 0.1.1)

DBMHAnalysis: DBM analysis with Hillis improvements

Description

Performs Dorfman-Berbaum-Metz significance testing, with Hillis improvements, for the specified dataset.

Usage

DBMHAnalysis(dataset, fom = "wJAFROC", alpha = 0.05, option = "ALL")

Arguments

dataset

The dataset to be analyzed, see RJafroc-package.

fom

The figure of merit to be used in the analysis, default is "wJAFROC", see FigureOfMerit.

alpha

The significance level of the test of the null hypothesis that all treatment effects are zero (default alpha is 0.05).

option

The analysis option: it can be "RRRC", "FRRC", "RRFC" or "ALL" (the default), corresponding random readers and random cases, fixed readers and random cases and random readers and fixed cases, respectively; this option indicates which factors are treated as random and/or fixed factors in the analysis.

Value

The return value is a list with following elements:

fomArray

The figure of merit array of each reader and modality.

anovaY

The ANOVA table of the pseudovalues.

anovaYi

The ANOVA table of the pseudovalues for each modality.

varComp

The DBM variance components estimates.

fRRRC

The F statistic for testing the null hypothesis, for the RRRC condition.

ddfRRRC

The denominator degrees of freedom of the F statistic, for the RRRC condition.

pRRRC

The p-value of the significance test of the NH for the RRRC condition.

ciDiffTrtRRRC

The confidence intervals and related tests for the FOM differences between pairs of modalities, for the RRRC condition.

ciAvgRdrEachTrtRRRC

The confidence intervals and related tests for rdr. avg. FOM in each modality, for the RRRC condition.

fFRRC

The F statistic for testing the null hypothesis, for the FRRC condition.

ddfFRRC

The denominator degrees of freedom of the FRRC F statistic.

pFRRC

The p-value of the significance test of the NH, for the FRRC condition.

ciDiffTrtFRRC

The confidence intervals and related tests for the FOM differences between pairs of modalities, for the FRRC condition.

ciAvgRdrEachTrtFRRC

The confidence intervals and related tests for rdr. avg. FOM in each modality, for the FRRC condition.

ssAnovaEachRdr

The sum of squares table of the ANOVA of the pseudovalues for each reader (based on the data only for the specified reader).

msAnovaEachRdr

The mean squares table of the ANOVA of the pseudovalues for each reader (based on the data only for the specified reader).

ciDiffTrtEachRdr

The confidence intervals and related tests of the FOM differences between pairs of modalities for each reader.

fRRFC

The F statistic for testing the null hypothesis, for the RRFC condition.

ddfRRFC

The denominator degrees of freedom of the F statistic, for the RRFC condition.

pRRFC

The p-value of the significance test of the NH, for the RRFC condition.

ciDiffTrtRRFC

The confidence intervals and related tests for the FOM differences between pairs of modalities, for the RRFC condition.

ciAvgRdrEachTrtRRFC

The confidence intervals and related tests for rdr. avg. FOM in each modality, for the RRFC condition.

Examples

retDbmRoc  <- DBMHAnalysis(rocData, fom = "Wilcoxon")

## Not run: 
# retDbmwJAFROC  <- DBMHAnalysis(frocData) # default is weighted JAFROC
# 
# retDbmHrAuc  <- DBMHAnalysis(frocData, fom = "HrAuc")
# print(retDbmHrAuc)
# 
# retDbmSongA1  <- DBMHAnalysis(frocData, fom = "SongA1")
# print(retDbmSongA1)
# 
# retDbmSongA2  <- DBMHAnalysis(frocData, fom = "SongA2")
# print(retDbmSongA2)
# 
# retDbmwJafroc1  <- DBMHAnalysis(frocData, fom = "wJAFROC1")
# print(retDbmwJafroc1)
# 
# retDbmJafroc1  <- DBMHAnalysis(frocData, fom = "JAFROC1")
# print(retDbmJafroc1)
# 
# retDbmJAFROC  <- DBMHAnalysis(frocData, fom = "JAFROC")
# print(retDbmJAFROC)
# 
# retDbmROI  <- DBMHAnalysis(roiData, fom = "ROI")
# print(retDbmROI)
# ## End(Not run)