search for: repeatedness

...2 * k * sum(apply(S, 1, mean)^2) N3 <- k^2 * mean(S)^2 epsiGG <- D / ((k - 1) * (N1 - N2 + N3)) epsiHF <- (n * (k-1) * epsiGG - 2) / ((k-1) * ((n-1) - (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==un...

...2 * k * sum(apply(S, 1, mean)^2) N3 <- k^2 * mean(S)^2 epsiGG <- D / ((k - 1) * (N1 - N2 + N3)) epsiHF <- (n * (k-1) * epsiGG - 2) / ((k-1) * ((n-1) - (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==un...

...setup: - two between-cell factors: facBetweenROI (numbering regions of interest, 6 levels) and facBetweenCond (numbering conditions, 2 levels). - one within-cell factor: facWithin (which numbers subjects, while subjects are considered repetitions of the same measurement). This is basically the repeatedness of the data. For this data, I do anovas for several linear models. SAS also calculates the Huynh-Feldt-Test, which is in this case very important to the users and cannot be replaced with nlme or something of the kind (as recommended in http://maths.newcastle.edu.au/~rking/R/help/03b/0813.html....

Hi, Is there a way to do a sphericity test in R for repeated measures ANOVA (using aov or lme)? I can't find anything about it in the help. Thanks Orou [[alternative HTML version deleted]]