On 08.05.2013 13:38, Ramon Hofer wrote:
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 ...



That's the problem: you have a factor, hence producing 40886 parallel boxplots with a median line only in each one:

plot(factor(1:2), 1:2)

You have to convert that to a time object, e.g. to POSIXlt via:

A$Timestamp <- strptime(as.character(A$Timestamp), "%Y-%m-%d_%H:%M:%S")

Then it should work rather quickly.

Best,
Uwe Ligges





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

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