#===============================================================================
weight_byEffect_bin <- function(i, alpha, null, m, tail = 1L, delInterval,
filterEffectVec, datByNull)
{
et <- filterEffectVec [i]
m0 <- ceiling(m*null)
m1 <- m-m0
ranksProb <- datByNull[,i]
prob <- ranksProb/sum(ranksProb, na.rm = TRUE)
delta <- seq(0, 1, delInterval)
weightSumVec <- sapply(delta, weight_by_delta, alpha = alpha, et = et, m = m,
m1 = m1, tail = tail, ranksProb = prob,
effectType = "binary")
deltaOut <- delta[min(abs(weightSumVec - m)) == abs(weightSumVec - m)]
deltaOut <- ifelse(length(deltaOut) > 1, .0001, deltaOut)
weight.out <- tail*(m/alpha)*pnorm(et/2 + 1/et*log(deltaOut*m/(alpha*m1*prob)),
lower.tail = FALSE)
sumWeight <- sum(weight.out, na.rm = TRUE)
normWeight <- if(sumWeight == 0) {rep(1, m)} else {weight.out/sumWeight*m}
return(normWeight)
}
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