Simon, Thanks for your answer.
Do you have a link describing the procedure on compiling for iPhone or is it really just ready out of the box? A description would help me trying to do it with Android. I've done some searching, but the only relevant hit I've found is http://ephphatharesearch.com/Eph_Blog_Post.aspx/Show/41. Cheers, Mikkel. 2009/10/12 Simon Urbanek <simon.urba...@r-project.org>: > Mikkel, > > On Oct 11, 2009, at 6:38 AM, Mikkel Meyer Andersen wrote: > >> As a follow-up on [1], I'd like to raise the question of whether it's >> practically possible to compile R to the Google Android mobile >> platform? >> >> The best way would probably be to use the Native Developer Kit [2], >> NDK, and in that way get a library. This could then be interfaced to >> by a Java-program. >> >> I know that several questions have been raised against the idea, e.g. >> with the input methods and all that, but I wouldn't be that hard to >> make an alternative input method or even a new language that could be >> compiled to R. >> >> The reason I'm raising this question again, is that I would really >> want a (basic) statistical package on my mobile phone, and I think it >> would be kind of stupid to start writing one from scratch when R is >> already out there. >> > > Get an iPhone ;), you can compile R for iPhone OS almost out of the box. > > But seriously, the NDK seems to be ARM as well (like the iPhone) so chances > are that is may work in a similar fashion. According to the NDK docs it > includes JNI so you should be able to use rJava/JRI to embed R (see the JGR > project for an example of a GUI using the "normal" Java). [I didn't actually > try it so your mileage may vary]. > > >> Unfortunately I don't know that much about build systems and are not >> capable of assesing whether it indeed would be possible to port R to >> Android through NDK. I know a bit of both R, Java, and C and would be >> able to help trying some different approaches, if anybody wants to >> help me. >> >> The alternative is to start writing a new mobile statistical package >> from the beginning. And although it should only maybe support 5% of >> the functionality of R, it would take a lot of time to do that. And >> I'd love to avoid that when good people has already done an amazing >> job :-). >> > > People have proposed that and tried that long time ago, but I don't think > anyone succeeded. > > Cheers, > Simon > > >> Cheers, Mikkel Meyer Andersen. >> >> [1]: http://finzi.psych.upenn.edu/Rhelp08/2009-February/187425.html >> [2]: http://developer.android.com/sdk/ndk/1.5_r1/index.html >> >> ______________________________________________ >> R-devel@r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-devel >> >> > > ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
