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
=================================


This e-Mail may contain proprietary and confidential information and is sent 
for the intended recipient(s) only.  If by an addressing or transmission error 
this mail has been misdirected to you, you are requested to delete this mail 
immediately. You are also hereby notified that any use, any form of 
reproduction, dissemination, copying, disclosure, modification, distribution 
and/or publication of this e-mail message, contents or its attachment other 
than by its intended recipient/s is strictly prohibited.

Visit us at http://www.polarisFT.com

        [[alternative HTML version deleted]]

______________________________________________
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.

Reply via email to