[R] heavy graphs

[Bert Gunter]

But you also might have the additional problem that too many data points
just produce an incoherent solid blob, no matter the format.

Lots of folks have written about this. Check out JCGS and computer graphics
literature for ideas. Also,this is one arena where fancy, dynamic,
interactive software (maybe xgobi) might be useful. Maybe not (too much
data).

Finally, canonical answer: **appropriately** sample and plot only the sample
data. The key is in defining "appropriately",of course.

-- Bert Gunter
Genentech

-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On
Behalf Of Roger Peng
Sent: Tuesday, April 15, 2008 2:34 PM
To: Georg Ehret
Cc: r-help
Subject: Re: [R] heavy graphs

It's probably best to choose a different format like PNG or jpeg.

-roger

On Tue, Apr 15, 2008 at 5:22 PM, Georg Ehret <georgehret at gmail.com> wrote:
> Dear R community,        I am creating large graphs with hundreds of
>  thousands of datapoints. My usual way for output was pdf, but now I am
>  getting file sizes of >30Mb that do not open well (or at all) in Adobe.
Is
>  there a way to reduce the resolution or get rid of overlaying datapoints?
>  Any other idea is also warmly welcome!
>
>  Thank you and wishing you a good day!
>  Georg.
>  **********************
>  Georg Ehret
>  Johns Hopkins
>  Baltimore - US
>
>         [[alternative HTML version deleted]]
>
>  ______________________________________________
>  R-help at 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.
>



-- 
Roger D. Peng | http://www.biostat.jhsph.edu/~rpeng/

______________________________________________
R-help at 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.