Kate Davis wrote: > At Yale, we run Matlab gridWorks (??), which is, as I understand, a > distributed client-server type environment. > > Perhaps a slim Sugar client with a Matlab server might be a good option? > There are some S+ c/s options, and I can check in to R.
R has several server options, although I've never used them. By the way, there is also an interface between R and Python, called "RSPython". I've never used it, being Python-illiterate. It lives at http://www.omegahat.org/RSPython/ There is some documentation on how to "port" Octave or Matlab code to R at http://cran.r-project.org/doc/contrib/R-and-octave.txt There is an R package to interface with Matlab at http://cran.r-project.org/src/contrib/Descriptions/R.matlab.html and another at http://www.omegahat.org/RMatlab/ Oh, yeah ... as long as we're talking R and BioConductor, a couple of years ago the BioConductor team offered an advanced R programming course. It's coming up again in a couple of weeks ... see https://secure.bioconductor.org/SeattleFeb08/index.php > > Any computational biology projects are well beyond both the cpu and > memory capabilities of the XO, but the XO might be an extremely useful > remote data collection client, and analytic server client, in the right > setup. Getting this stuff to run on a school server is easy -- the question is simply how big a school server one could deploy in the developing world. Let me know if you want some help tweaking the R compiles. ;) _______________________________________________ Devel mailing list Devel@lists.laptop.org http://lists.laptop.org/listinfo/devel