UtilORVarComp | R Documentation |
Obuchowski-Rockette variance components for dataset
UtilORVarComp(
dataset,
FOM,
covEstMethod = "jackknife",
FPFValue = 0.2,
nBoots = 200,
seed = NULL
)
dataset |
Factorial one-treatment or cross-modality two-treatment dataset |
FOM |
Figure of merit |
covEstMethod |
The covariance estimation method, "jackknife" (the default) or "bootstrap" or "DeLong" ("DeLong" is applicable only for FOM = "Wilcoxon"). |
FPFValue |
Only needed for |
nBoots |
The number of bootstraps (default 200).Only needed for covEstMethod = "bootstrap". |
seed |
Only needed for the bootstrap covariance estimation method.
The initial seed for the random number generator, the default is
|
The variance components are identical to those obtained using
St with method = "OR"
.
A list containing the following data.frames
:
foms
: the figures of merit for different modality-reader combinations
TRanova
: the OR modality-reader ANOVA table
VarCom
: the OR variance-components Cov1
, Cov2
,
Cov3
, Var
and correlations rho1
, rho2
and rho3
IndividualTrt
: the individual modality mean-squares, Var
and Cov2
values
IndividualRdr
: the individual reader mean-squares, Var
and Cov1
values
## use the default jackknife for covEstMethod
vc <- UtilORVarComp(dataset02, FOM = "Wilcoxon")
##UtilORVarComp(dataset02, FOM = "Wilcoxon", covEstMethod = "bootstrap",
##nBoots = 2000, seed = 100)$VarCom
##UtilORVarComp(dataset02, FOM = "Wilcoxon", covEstMethod = "DeLong")$VarCom
vc <- UtilORVarComp(datasetX, FOM = "wAFROC")
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