R help - May 2013 - Vector allocation problem while trying to plot 6 MB data file

Hi all

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

Is there a way around this problem or will I have to split the data?


Best
Ramon

On 02.05.2013 14:37, Ramon Hofer wrote:
> Hi all
>
> 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.

What do
str(A$Timestamp)
str(A$Bandwidth.bit.sec.)
tell us?

Can you make a reprducible examples available?

Best,
Uwe Ligges



> Is there a way around this problem or will I have to split the data?
>
>
> Best
> Ramon
>
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