Nothing
dataSummary <- function(af, xinfo, chromosomes = c(1:22,"X","Y"), alpha = 0.05) {
tmp <- xinfo
n <- nrow(tmp)
tmp$Position <- 0.5*(as.numeric(xinfo$Start) + as.numeric(xinfo$End))
tmp$f.L2R <- log2(af$FC2)
tmp$f.value <- af$f.value
a1 <- 0.5*alpha
a2 <- 1-0.5*alpha
seg <- c(rep(0, n))
seg[af$f.value <= a1] <- -1
seg[af$f.value >= a2] <- 1
tmp$f.call <- seg
chrSumm <- matrix(c(rep(0,3*length(chromosomes))), ncol = 3)
colnames(chrSumm) <- c("Chr", "nLoss", "nGain")
idx <- which(tmp$Chromosome == chromosomes[1])
xda <- tmp[idx,]
xdr <- order(xda$Position)
xinfo.s <- xda[xdr,]
chrSumm[1,1] <- chromosomes[1]
chrSumm[1,2] <- sum(xda$f.call == -1)
chrSumm[1,3] <- sum(xda$f.call == 1)
for (i in 2:length(chromosomes)) {
idx <- which(tmp$Chromosome == chromosomes[i])
xda <- tmp[idx,]
xdr <- order(xda$Position)
xinfo.s <- rbind(xinfo.s, xda[xdr,])
chrSumm[i,1] <- chromosomes[i]
chrSumm[i,2] <- sum(xda$f.call == -1)
chrSumm[i,3] <- sum(xda$f.call == 1)
}
list(xinfo.s = xinfo.s, chrSumm = chrSumm)
}
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