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I'd like to export SVG graphics from R. There appear to be two alternatives: RSvgDevice and Cairo. Can anyone comment on these packages? Is either the default, or clearly better than the other?
Many thanks,
I can't comment definitively other than to say that I use Cairo all the time to create high-quality images, and have had great experience with it. It can target many different output formats beyond SVG.
As far as I know, there are other packages you could try: gridSVG, SVGAnnotation and RSVGTipsDevice. You will find lots of examples and different discussions of these approaches in some slides by Paul Murrel (author of gridSVG) and in a paper by the authors of SVGAnnotation.
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I am looking for some open source C++ libraries for KNN sparse graph construction for large scale data set. Could you recommend me some libraries, please? Thanks.
Maybe STANN (Simple, Thread-safe Approximate Nearest Neighbor) is what you want.
Here you can find the according paper.
I also found Neighborhood Graph Library, but In did not use it yet.
Checkout https://code.google.com/p/nndes/ and http://www.kgraph.org/ . Both support arbitrary user-defined distance metrics.
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Could someone provide an example of using an up-to-date package how one might effectively use the GPU in parallel programming using R? It is nice to know what in theory is possible, but who has a practical example?
Please see the CRAN Task View on High-Performance Computing for an edited list of packages doing just that.
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I'm looking to (programmatically) convert a repository of Adobe Indesign template files (.indd) to something more easily manipulated by humans (ie, CSS/HTML files).
I'm more interested in an accurate conversion, than a fully readable one - the resulting files will be read by humans, and eventually made more readable.
Is there a tool or library I can use for this purpose?
Actually the only viable solution to convert from InDesign to html5 seems to be the "In5" plugin developed by Ajar Productions. I doubt it'll allow for bulk conversion but it seems to make a good job as regards accuracy.
Product and a detailed list of its features here: http://www.ajarproductions.com/pages/products/in5/
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I'm learning to work with GNU make and I'm reading the manual (which is very good) but I'm missing a cheat-sheet for quick reference. Is there any good?
Note: It's quite hard to find to google this.
Here is one by Frank Schacherer.
I have made my own. It is definitely not a perfect one but it served me well:
http://martinvseticka.eu/temp/make/presentation.html
http://martinvseticka.eu/temp/make/normal.html
Note: The source for the slides is the official manual.
This might be useful: https://users.cs.duke.edu/~ola/courses/programming/Makefiles/Makefiles.html
I use it occasionally for a quick reference.
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Do you know any R packages implementing rough set based methods? I believe the answer is there are no, but maybe I am missing something subtle.
A quick search with Rseek reveals that there was a talk on this subject presented at the useR! 2004 conference. The abstract mentions an R package, however the package does not appear on CRAN or the authors' personal web pages.
Update: as noted by #ManuParra in the comments below, there is now an R package, RoughSets, implementing algorithms for data analysis using rough set theory.