Hi
[shifted this to r-devel]
I can't reproduce this yet on my systems, but I have heard of at least
one other example of a raster-related crash (on a 64-bit system I think).
Baptiste: I would love to see that broken PDF if you still have it.
Paul
On 9/09/2010 8:00 a.m., baptiste auguie wrote:
Hi,
I get the same crash with x11() with sessionInfo()
R version 2.11.1 (2010-05-31)
x86_64-apple-darwin9.8.0
locale:
[1] en_GB.UTF-8/en_GB.UTF-8/C/C/en_GB.UTF-8/en_GB.UTF-8
attached base packages:
[1] grid stats graphics grDevices utils datasets methods
[8] base
However it works fine with quartz(). Have you tried other devices?
pdf() doesn't crash R for me, but the output is incorrect. png() is OK
but defeats the purpose here.
rasterImage is quite a recent addition, it would probably be
appreciated to report any such odd behavior to R-devel. Interestingly
(or not), the x11() test does not crash for me using grid.raster
instead of rasterImage.
Best,
baptiste
On 8 September 2010 21:47, Stephen T.<obsessiv...@hotmail.com> wrote:
Hi Baptiste,
Thanks for your suggestion. I have to look into this further, but anything I
try with rasterImage() gives me this type of error (below is from running
the example in the help file). This is with R 2.11.1 on OS X 10.5 -
*** caught bus error ***
address 0x24, cause 'non-existent physical address'
Traceback:
1: rasterImage(image, 100, 300, 150, 350, interpolate = FALSE)
Possible actions:
1: abort (with core dump, if enabled)
2: normal R exit
3: exit R without saving workspace
4: exit R saving workspace
This is not an obvious error, is it?
Thanks,
Stephen
Subject: Re: [R] large files produced from image plots?
From: baptiste.aug...@googlemail.com
Date: Wed, 8 Sep 2010 19:41:46 +0200
CC: r-h...@r-project.org
To: obsessiv...@hotmail.com
Hi,
Have you tried the recent rasterImage() function?
HTH,
baptiste
On Sep 8, 2010, at 7:30 PM, Stephen T. wrote:
Hi list,
I wonder if anyone has thoughts on making image plots in R [using
image() or image.plot(), or filled.contour()]- I've made quite a bit now,
but they seem quite large in size when exported to pdf file format (even
after compressing with pdftk or ghostscript, which I regularly do). I know
that for "images", raster graphics output (png, tiff) may be the way to go,
but often the ones I make are multi-panel plots with other graphics on them,
and are usually included in a LaTeX document (PDFLaTeX does accept png) and
require stretching/shrinking (and/or possibly editing with Adobe
Illustrator). I have had some luck exporting image plots from Matlab (to
postscript or pdf) before in the sense that the files seem smaller and less
pixelated. Is this a difference in the way image() plots are produced, or
with the way the image is written to the pdf() device (if anyone is familiar
with other image-exporting programs...)? The other day I had a 13MB dataset,
and probably plotted 3/4 of it!
using image() and the compressed pdf output was about 8 MB (it contained
other stuff but was an addition of a few KB). I tried filled.contour(), as I
understand that it colors polygons to fill contours instead of coloring
rectangles at each pixel - and it has saved me before - but this time the
contours may have been too sharp as as its compressed pdf came out to be 62
MB... (ouch!). I have not tested this data set with other software programs
so it may just have been a difficult data set.
Is there a good solution to this (or is it simply not to use a
vector-graphics format in these instances), and just for my curiosity, are
you aware of any things that other software (data analysis) programs do uder
the hood to make their exported images smaller/smoother?
Thanks much!
Stephen
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