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.