Hi
From: [email protected]
[mailto:[email protected]]
Sent: Friday, August 30, 2013 3:16 PM
To: PIKAL Petr
Cc: [email protected]
Subject: RE: [R] Memory usage bar plot
Hello,
This memory usage should be graphed with time. Are there
examples of scatterplots that can clearly show usage vs time ? This is for
memory leak detection.
Hm, Actually I do not understand what do you want. No data, no code just some
vague description. If you have data frame with variables usage and time you can
plot
plot(time, usage)
Regards
Petr
Thanks,
Mohan
From: PIKAL Petr <[email protected]<mailto:[email protected]>>
To:
"[email protected]<mailto:[email protected]>"
<[email protected]<mailto:[email protected]>>,
"[email protected]<mailto:[email protected]>"
<[email protected]<mailto:[email protected]>>
Date: 08/30/2013 05:33 PM
Subject: RE: [R] Memory usage bar plot
________________________________
Hi
For reading data into R you shall look to read.table and similar.
For plotting ggplot could handle it. However I wonder if 100 times 50 bars is
the way how to present your data. You shall think over what do you want to show
to yourself or your audience. Maybe boxplots or scatterplots could be better.
Petr
> -----Original Message-----
> From: [email protected]<mailto:[email protected]>
> [mailto:r-help-bounces@r-
> project.org] On Behalf Of
> [email protected]<mailto:[email protected]>
> Sent: Friday, August 30, 2013 1:25 PM
> To: [email protected]<mailto:[email protected]>
> Subject: [R] Memory usage bar plot
>
> Hi,
> I haven't tried the code yet. Is there a way to parse this
> data using R and create bar plots so that each program's 'RAM used'
> figures are grouped together.
> So 'uuidd' bars will be together. The data will have about 50 sets. So
> if there are 100 processes each will have about 50 bars.
>
> What is the recommended way to graph these big barplots ? I am looking
> for only 'RAM used' figures.
>
>
> Thanks,
> Mohan
>
>
> Private + Shared = RAM used Program
>
> 96.0 KiB + 11.5 KiB = 107.5 KiB uuidd
> 108.0 KiB + 12.5 KiB = 120.5 KiB klogd
> 124.0 KiB + 17.0 KiB = 141.0 KiB hidd
> 116.0 KiB + 30.0 KiB = 146.0 KiB acpid
> 124.0 KiB + 29.5 KiB = 153.5 KiB hald-addon-storage
> 144.0 KiB + 15.0 KiB = 159.0 KiB gpm
> 136.0 KiB + 26.5 KiB = 162.5 KiB pam_timestamp_check
> ---------------------------------------------------------
> 453.9 MiB
>
> =================================
> Private + Shared = RAM used Program
>
> 96.0 KiB + 11.5 KiB = 107.5 KiB uuidd
> 108.0 KiB + 12.5 KiB = 120.5 KiB klogd
> 124.0 KiB + 17.0 KiB = 141.0 KiB hidd
> 116.0 KiB + 30.0 KiB = 146.0 KiB acpid
> 124.0 KiB + 29.5 KiB = 153.5 KiB hald-addon-storage
> 144.0 KiB + 15.0 KiB = 159.0 KiB gpm
> 136.0 KiB + 26.5 KiB = 162.5 KiB pam_timestamp_check
> ----------------------------------------------------------
> 453.9 MiB
> =================================
>
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