UtilORVarComponentsFactorial {RJafroc} | R Documentation |
Utility for estimating Obuchowski-Rockette variance components for factorial datasets
Description
Utility for estimating Obuchowski-Rockette variance components for factorial datasets
Usage
UtilORVarComponentsFactorial(
dataset,
FOM,
FPFValue = 0.2,
covEstMethod = "jackknife",
nBoots = 200,
seed = NULL
)
Arguments
dataset |
The factorial dataset object |
FOM |
The figure of merit |
FPFValue |
Only needed for |
covEstMethod |
The covariance estimation method, "jackknife" (the default) or "bootstrap" or "DeLong" (DeLongt is applicable only for FOM = Wilcoxon). |
nBoots |
Only needed for bootstrap covariance estimation method. The number of bootstraps, defaults to 200. |
seed |
Only needed for the bootstrap covariance estimation method. The initial
seed for the random number generator, the default is |
Details
The variance components are obtained using StSignificanceTesting
with method = "OR"
.
Value
A list object containing the following data.frames
:
foms
: the figures of merit for different treatment-reader combinationsTRanova
: the OR treatment-reader ANOVA tableVarCom
: the OR variance-componentsCov1
,Cov2
,Cov3
,Var
and correlationsrho1
,rho2
andrho3
IndividualTrt
: the individual treatment mean-squares,Var
andCov2
valuesIndividualRdr
: the individual reader mean-squares,Var
andCov1
values
Examples
## use the default jackknife for covEstMethod
vc <- UtilORVarComponentsFactorial(dataset02, FOM = "Wilcoxon")
str(vc)
UtilORVarComponentsFactorial(dataset02, FOM = "Wilcoxon",
covEstMethod = "bootstrap", nBoots = 2000, seed = 100)$VarCom
UtilORVarComponentsFactorial(dataset02, FOM = "Wilcoxon", covEstMethod = "DeLong")$VarCom