search for: iroi

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2005 Feb 23
1
H-F corr.: covariance matrix for interaction effect
...- (k-1)*epsiGG)) c(epsiGG,epsiHF) } # three 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 <- ep...
2005 Feb 23
1
H-F corr.: covariance matrix for interaction effect
...- (k-1)*epsiGG)) c(epsiGG,epsiHF) } # three 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 <- ep...
2005 Feb 18
1
Two-factorial Huynh-Feldt-Test
...,])^2 epsilon <- (ncol^2*(D-SPm)^2) / ((ncol-1) * (SPm2 - 2*ncol*SSrm + ncol^2*SPm^2)) print(epsilon) } # 2. do variance-covariance matrices for conditions first avCov2 <- matrix(rep(0,36),ncol=length(unique( roi ))) for (iCond in 1:length(preparedData[1,3:4])) { mtx <- NULL for (iROI in 1:length(unique( roi ))) { mtx <- c(mtx, preparedData[roi==unique(roi)[iROI],iCond + 4]) } mtx <- matrix(mtx, ncol=length(unique( roi )), byrow=F) avCov2 <- avCov2 + cov(mtx) } avCov2 <- avCov2 / length(preparedData[1,3:4]) hf(avCov2, length(unique( roi )),...