On Wed, 24 Nov 2004 [EMAIL PROTECTED] wrote:
On 24-Nov-04 Witold Eryk Wolski wrote:
Hi,
I want to draw a scatter plot with 1M and more points
and save it as pdf.
This makes the pdf file large.
So i tried to save the file first as png and than convert
it to pdf. This looks OK if printed but if viewed e.g. with
acrobat as document figure the quality is bad.
Anyone knows a way to reduce the size but keep the quality?
If you want the PDF file to preserve the info about all the
1M points then the problem has no solution. The png file
will already have suppressed most of this (which is one
reason for poor quality).
I think you should give thought to reducing what you need
to plot.
Think about it: suppose you plot with a resolution of
1/200 points per inch (about the limit at which the eye
begins to see rough edges). Then you have 40000 points
per square inch. If your 1M points are separate but as
closely packed as possible, this requires 25 square inches,
or a 5x5 inch (= 12.7x12.7 cm) square. And this would be
solid black!
Presumably in your plot there is a very large number of
points which are effectively indistinguisable from other
points, so these could be eliminated without spoiling
the plot.
I don't have an obviously best strategy for reducing what
you actually plot, but perhaps one line to think along
might be the following:
1. Multiply the data by some factor and then round the
results to an integer (to avoid problems in step 2).
Factor chosen so that the result of (4) below is
satisfactory.
2. Eliminate duplicates in the result of (1).
3. Divide by the factor you used in (1).
4. Plot the result; save plot to PDF.
As to how to do it in R: the critical step is (2),
which with so many points could be very heavy unless
done by a well-chosen procedure. I'm not expert enough
to advise about that, but no doubt others are.
unique will eat that for breakfast
x <- runif(1e6)
system.time(xx <- unique(round(x, 4)))
[1] 0.55 0.09 0.64 0.00 0.00
length(xx)
[1] 10001
--
Brian D. Ripley, [EMAIL PROTECTED]
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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