Thank you for the answer. Just to clear things out, I'm generating plots of
rgb images.

Talita

2009/4/11 Ben Bolker <bol...@ufl.edu>

>
>
> Talita Perciano wrote:
> >
> > Dear users,
> >
> > I'm generating some images in R to put into a document that I'm producing
> > using Latex. This document in Latex is following a predefined model,
> which
> > does not accept compilation with pdflatex, so I have to compile with
> latex
> > -> dvi -> pdf. Because of that, I have to generate the images in R with
> > postscript (I want a vector format to keep the quality). The problem is
> > that
> > the files of the images are very huge (10MB) and I have many images to
> put
> > into the pdf document.
> > I want to know if there is a way to reduce the size of those images
> > generated by R using postscript.
> >
> > Thank you in advance,
> >
> > Talita
> >
> >
>
>   Not in any extremely easy way.  The fundamental problem is
> that if you have a whole lot of points in your graph, it's hard
> to make them take less file space even if they're overplotted
> (and hence not visible in the actual image).
>  This has been discussed in various forms on the R list in the past,
> but I can't locate those posts easily.  It's a little hard without knowing
> what kind of plot you're generating, but I'm assuming that you have
> many, many points or lines in the graphic (or a very high-resolution
> image plot), and that the details don't all show up in the figure anyway.
> A few general strategies:
>
>  * thin the points down to a random subset
>  * use a 2D density plot or hexagonal binning
>  * create a  bitmap (PNG) plot, then use image
> manipulation tools (ImageMagick etc.) to convert that back to
> a PostScript file
>  * there was some discussion earlier about whether one
> could embed a bitmap of just the internals of the plot, leaving
> the axes, labels etc. in vector format, but I don't think that
> came to anything
>
>  good luck
>   Ben Bolker
>
> --
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>
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>



-- 
Talita Perciano
Instituto de Matemática e Estatísitca
Universidade de São Paulo - USP
PhD Student in Computer Science
São Paulo, SP, Brazil
Tel: +55 11 8826 7092

"Success is not final, failure is not fatal: it is the courage to continue
that counts."
(Winston Churchill)

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