Thanks for your answer Uwe
On Fri, 03 May 2013 23:36:24 +0200 Uwe Ligges <lig...@statistik.tu-dortmund.de> wrote: > On 02.05.2013 14:37, Ramon Hofer wrote: > > > > I'm trying to analyse the network speed and used iperf to create a > > csv file containing the link test data. It's only about 6 MB big but > > contains about 40'000 samples. > > > > I can do boxplots (apart from printing the number of samples but I > > ask separately for that). > > > > To find the behaviour over time I wanted to plot the throuphput. So > > I have this command: > > > > plot(A$Timestamp, A$Bandwidth.bit.sec., xlab = "Timestamp", ylab = > > "Bandwidth [bit/s]", ylim = quantile(A$Bandwidth.bit.sec., > > c(0, .99), na.rm = TRUE)) > > > > Unfortunately I get this: > > Error: cannot allocate vector of size 12.5 Gb > > 40000 samples and 6MB can't be the issue unless this is not a regular > plot but the classes of A$Timestamp or A$Bandwidth.bit.sec are rather > special. This should be a standard plot. I can't tell exactly as I'm new to R... > What do > str(A$Timestamp) Factor w/ 40886 levels "2013-04-29_10:31:47.189194629",..: 1 2 3 4 5 6 7 8 9 10 ... > str(A$Bandwidth.bit.sec.) int [1:40886] NA 79106 86086 49918 96353 97268 98027 99369 98049 97280 ... > Can you make a reprducible examples available? You can find the data here: http://people.ee.ethz.ch/~hoferr/download/data.csv The script I have so far: http://people.ee.ethz.ch/~hoferr/download/draw_graph.R The same error occurs if I start a new R session and enter these two commands: A <- read.csv('data.csv') plot(A$Timestamp, A$Bandwidth.bit.sec., xlab = "Timestamp", ylab = "Bandwidth [bit/s]", ylim = quantile(A$Bandwidth.bit.sec., c(0, .99), na.rm = TRUE)) Best regards Ramon ______________________________________________ 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.
