I am trying to plot a CDF of 7 files I have. Each file looks like this:121.52.3and so on. The problem is about the sizes of the files, which are:862M1,8G2,4G18G2,0G1,8GI have put up a simple R script which simply loads the files and plot them. When I generate fake files of smaller size, the script works fine. However, it is running since three days and it hasn't produced any output using the full files.The script is this:library(ggplot2)    data <- read.table('file1.csv')data$g = G1data2 <- read.table('file2.csv')data2$g = G2data3 <- read.table('file3.csv')data4$g = G3data4 <- read.table('file4.csv')data4$g = G4data5 <- read.table('file5.csv')data5$g = G5data6 <- read.table('file56.csv')data6$g = G6data7 <- read.table('file7.csv')data7$g = G7dftotal = rbind(data,data2)dftotal = rbind(dftotal,data3)dftotal = rbind(dftotal,data4)dftotal = rbind(dftotal,data5)dftotal = rbind(dftotal,data6)dftotal = rbind(dftotal,data7)gp <- ggplot(data = dftotal, aes(x = V1), group = factor(g)) + stat_ecdf()ggsave('cdf.eps',gp)Does anyone knows a more efficient way to do this?
CDF with a massive amount of data
r;bigdata