Nothing
tValueFun <-
function(ndx, coeffMissingAllowed = 0.75) {
notMissing <- apply(!is.na(geData[, ndx]), 1, sum)
notMissing <- notMissing > floor((length(ndx)-1)^coeffMissingAllowed)
clusters <- classify(geData[notMissing, ndx])$clusters
ans <- 0 #variato
if(min(table(clusters)) > floor(0.1 * nrow(geData)))
ans <- survdiff(stData[notMissing] ~ clusters)$chisq #variato
return(ans)
}
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