Hi All I should have included this first up and I think I understand the problem. The load on the server I was running R was heavy which was causing everything to slow up.
>summary(s) Min. 1st Qu. Median Mean 3rd Qu. Max. 2 182 263 6086 343 4630000 > length(s) [1] 16750589 hist(log(s,10),breaks=100) Thanks! -Abhi On Thu, Feb 25, 2010 at 7:38 PM, Nordlund, Dan (DSHS/RDA) <nord...@dshs.wa.gov> wrote: >> -----Original Message----- >> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On >> Behalf Of Abhishek Pratap >> Sent: Thursday, February 25, 2010 3:12 PM >> To: r-help@r-project.org >> Subject: [R] Plotting 15 million points >> >> Hi All >> >> I have a vector of about 15 million numbers which I would like to >> plot. The goal is the see the distribution. I tired the usual steps. >> >> 1. Histogram : never gets complete my window freezes w/out log base 10 >> 2. Density : I first calculated the kernel density and then plotted >> it which worked. >> >> It would be nice to superimpose histogram with density but as of now I >> am not able to get this data as a histogram. I tried ggplot2 which >> also hangs. >> >> Any efficient methods to play with > 10 million numbers in a vector. >> >> Thanks, >> -Abhi >> > > You need to show us what you did. Generating 15 million random normals and > plotting a histogram worked just fine on my desktop in a matter of ~6 seconds. > >> x <- rnorm(15e6) >> hist(x) > > Dan > > Daniel J. Nordlund > Washington State Department of Social and Health Services > Planning, Performance, and Accountability > Research and Data Analysis Division > Olympia, WA 98504-5204 > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.