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-help@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 >> > [[alternative HTML version deleted]] >> > >> > ______________________________________________ >> > R-help@r-project.org mailing list >> > https://stat.ethz.ch/mailman/listinfo/r-help >> > PLEASE do read the posting guide >> > http://www.R-project.org/posting-guide.html >> > and provide commented, minimal, self-contained, reproducible code. >> > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
