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.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(RJafroc)
Loading required package: tools
Loading required package: xlsx
Loading required package: rJava
Loading required package: xlsxjars
Loading required package: ggplot2
Loading required package: stringr
Loading required package: shiny
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/RJafroc/DBMHAnalysis.Rd_%03d_medium.png", width=480, height=480)
> ### Name: DBMHAnalysis
> ### Title: DBM analysis with Hillis improvements
> ### Aliases: DBMHAnalysis
>
> ### ** Examples
>
> retDbmRoc <- DBMHAnalysis(rocData, fom = "Wilcoxon")
>
> ## Not run:
> ##D retDbmwJAFROC <- DBMHAnalysis(frocData) # default is weighted JAFROC
> ##D
> ##D retDbmHrAuc <- DBMHAnalysis(frocData, fom = "HrAuc")
> ##D print(retDbmHrAuc)
> ##D
> ##D retDbmSongA1 <- DBMHAnalysis(frocData, fom = "SongA1")
> ##D print(retDbmSongA1)
> ##D
> ##D retDbmSongA2 <- DBMHAnalysis(frocData, fom = "SongA2")
> ##D print(retDbmSongA2)
> ##D
> ##D retDbmwJafroc1 <- DBMHAnalysis(frocData, fom = "wJAFROC1")
> ##D print(retDbmwJafroc1)
> ##D
> ##D retDbmJafroc1 <- DBMHAnalysis(frocData, fom = "JAFROC1")
> ##D print(retDbmJafroc1)
> ##D
> ##D retDbmJAFROC <- DBMHAnalysis(frocData, fom = "JAFROC")
> ##D print(retDbmJAFROC)
> ##D
> ##D retDbmROI <- DBMHAnalysis(roiData, fom = "ROI")
> ##D print(retDbmROI)
> ## End(Not run)
>
>
>
>
>
> dev.off()
null device
1
>
providing 
.