SsPowerGivenJKOrVarCom: Power given J, K and Obuchowski-Rockette variance components

In RJafroc: Artificial Intelligence Systems and Observer Performance

Power given J, K and Obuchowski-Rockette variance components

Description

Power given J, K and Obuchowski-Rockette variance components

Usage

SsPowerGivenJKOrVarCom(
  J,
  K,
  KStar,
  effectSize,
  VarTR,
  Cov1,
  Cov2,
  Cov3,
  Var,
  alpha = 0.05,
  analysisOption = "RRRC"
)

Arguments

J	The number of readers in the pivotal study
K	The number of cases in the pivotal study
KStar	The number of cases in the pilot study
effectSize	The effect size
VarTR	The treatment-reader OR variance component
Cov1	The OR Cov1 covariance
Cov2	The OR Cov2 covariance
Cov3	The OR Cov3 covariance
Var	The OR pure variance term
alpha	The size of the test (default = 0.05)
analysisOption	The desired generalization ("RRRC", "FRRC", "RRFC", "ALL")

Details

The variance components are obtained using StSignificanceTesting with method = "OR".

Value

A list object containing the estimated power and associated statistics for each desired generalization.

Examples

dataset <- dataset02 ## the pilot study
KStar <- length(dataset$ratings$NL[1,1,,1])
VarCom <- StSignificanceTesting(dataset, FOM = "Wilcoxon", 
method = "OR", analysisOption = "RRRC")$ANOVA$VarCom
VarTR <- VarCom["VarTR",1]
Cov1 <- VarCom["Cov1",1]
Cov2 <- VarCom["Cov2",1]
Cov3 <- VarCom["Cov3",1]
Var <- VarCom["Var",1]
ret <- SsPowerGivenJKOrVarCom (J = 5, K = 100, KStar = KStar,  
   effectSize = 0.05, VarTR, Cov1, Cov2, Cov3, Var, analysisOption = "RRRC")
    
cat("RRRC power = ", ret$powerRRRC)

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