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