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setwd("/home/bk/Desktop/hg38") | |
dta <- read.csv("L1.6kb.CpG.rel.pos.csv",header = F, sep = ",") | |
dim(dta) | |
dta.t <- t(dta[,-1]) | |
dta.t <- dta.t[,colSums(is.na(dta.t))<nrow(dta.t)] | |
nc <- ncol(dta.t) | |
res <- lapply(1:nc,function(i) { | |
h<-hist(dta.t[,i], plot=F, breaks = 10) | |
print(h$density) | |
}) | |
res<-matrix(unlist(res), ncol=10) | |
colnames(res) <- c("bin1","bin2","bin3","bin4","bin5", | |
"bin6","bin7","bin8","bin9","bin10") | |
head(res) | |
tail(res) | |
write.csv(res,"CpG.density.L1.6kb.csv") |
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