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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