Hi, I tried to compile gsview on my system, but that failed and because CUPS-pdf works, I didn't try any further.
cheers, Paul Gavin Simpson wrote: > On Thu, 2008-02-07 at 11:52 +0100, Paul Hiemstra wrote: > >> Hi all, >> >> Maybe a bit late, but I found a way that worked great for me. >> >> In windows, download CutePDF >> In linux (debian for me), install CUPS and cups-pdf >> >> Open your pdf with a viewer and print to CutePDF or cups-pdf. Both >> support a range of compression options. I use cups-pdf and reduced an R >> output file of 3.6 mb to 0.9 mb. Much better if you want to include in a >> Latex article >> > > An alternative on Windows and Linux is GSView and Ghostscript: > > http://pages.cs.wisc.edu/~ghost/gsview/ > > Using the convert option (File menu) one can use the pdfwrite driver and > set (under properties) CompressPages to TRUE. You can tweak a lot of the > PDF/Distiller preferences here as well. > > G > > >> cheers, >> Paul >> >> Chabot Denis wrote: >> >>> Hi, >>> >>> Without trying to print 1000000 points (see <http:// >>> finzi.psych.upenn.edu/R/Rhelp02a/archive/42105.html>), I often print >>> maps for which I do not want to loose too much of coastline detail, >>> and/or plots with 1000-5000 points (yes, some are on top of each >>> other, but using transparency (i.e. rgb colors with alpha >>> information) this actually comes through as useful information. >>> >>> But the files are large (not as large as in the thread above of >>> course, 800 KB to about 2 MB), especially when included in a LaTeX >>> document by the dozen. >>> >>> Acrobat (not the reader, the full program) has an option "reduce file >>> size". I don't know what it does, but it shrinks most of my plots to >>> about 30% or original size, and I cannot detect any loss of detail >>> even when zooming several times. But it is a pain to do this with >>> Acrobat when you generate many plots... And you need to buy Acrobat. >>> >>> Is this something the pdf device could do in a future version? I >>> tried the "million points" example from the thread above and the 55 >>> MB file was reduced to 6.9 MB, an even better shrinking I see on my >>> usual plots. >>> >>> >>> Denis Chabot >>> >>> ______________________________________________ >>> [EMAIL PROTECTED] 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. >>> >>> >> -- Drs. Paul Hiemstra Department of Physical Geography Faculty of Geosciences University of Utrecht Heidelberglaan 2 P.O. Box 80.115 3508 TC Utrecht Phone: +31302535773 Fax: +31302531145 http://intamap.geo.uu.nl/~paul ______________________________________________ [email protected] 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.
