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2005 Feb 23
1
H-F corr.: covariance matrix for interaction effect
...ee factors, facROI,facCond,facSubj
# facROI,facCond are main effects, facSubj is "repeatedness"
# G-G and H-F corrections for a main effect
# we do the gghf stuff for the ROI, which means ROIs in columns,
# subjects in rows
mtx <- NULL
for (iROI in 1:length(unique( facROI ))) {
for (iSubj in 1:length(unique( facSubj ))) {
mtx <- c(mtx,
mean(vecData[facROI==unique(facROI)[iROI] &
facSubj==unique(facSubj)[iSubj]])
)
}
}
mtx <- matrix(mtx,ncol=length(unique( facROI )),byrow=F)
GgHfROI <- epsi.GG.HF(var(mtx),length(mtx[1,]),length(mtx[,1...
2005 Feb 23
1
H-F corr.: covariance matrix for interaction effect
...ee factors, facROI,facCond,facSubj
# facROI,facCond are main effects, facSubj is "repeatedness"
# G-G and H-F corrections for a main effect
# we do the gghf stuff for the ROI, which means ROIs in columns,
# subjects in rows
mtx <- NULL
for (iROI in 1:length(unique( facROI ))) {
for (iSubj in 1:length(unique( facSubj ))) {
mtx <- c(mtx,
mean(vecData[facROI==unique(facROI)[iROI] &
facSubj==unique(facSubj)[iSubj]])
)
}
}
mtx <- matrix(mtx,ncol=length(unique( facROI )),byrow=F)
GgHfROI <- epsi.GG.HF(var(mtx),length(mtx[1,]),length(mtx[,1...