Hi
Another option is to just rasterize the points (but leave the rest of
the plot vector). See ...
https://www.stat.auckland.ac.nz/~paul/Reports/rasterize/rasterize.html
Paul
On 04/09/18 06:20, Bert Gunter wrote:
1. Plot a random sample of the points (e.g. of rows of matrix/dataframe
containing "x" and "y" columns
2. See the hexbin package
3. Check out the graphics taskview on cran:
https://cran.r-project.org/web/views/Graphics.html
(though it may be somewhat dated by now)
4. Internet search: e.g. on "display scatterplots with thousands of
points"
typical hit:
https://stackoverflow.com/questions/7714677/scatterplot-with-too-many-points
5. Search/Post on stats.stackexchange.com instead.
-- Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Mon, Sep 3, 2018 at 10:45 AM Rich Shepard <rshep...@appl-ecosys.com>
wrote:
This may be an inappropriate forum for this question. If so, please
point
me in a better direction.
A current project includes scatter plots with thousands of points. Saved
as PDF files they display slowly using a pdf viewer or when included in the
PDF output of a LaTeX document.
Is there a process by which these plots can be 'thinned' so they show
the
same overall patterns but with fewer points so they display more quickly?
Rasterizing them to .jpg files using 'convert' allows them to load
immediately, but the bit-mapped resolution is, of course, much lower than
the vector PDF format.
Rich
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