[R] Memory usage bar plot

PIKAL Petr petr.pikal at precheza.cz
Fri Aug 30 14:03:26 CEST 2013


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: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of mohan.radhakrishnan at polarisft.com
> Sent: Friday, August 30, 2013 1:25 PM
> To: r-help at r-project.org
> 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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