I've been looking into tools to seamlessly data munge from Perl into R and back into Perl, and I've seen two packages recommended: Statistics::R and Statistics::useR which seem to cater for different conceptual needs, but I can't figure out which one is worth investing time with. What are the pros/cons of these two?
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closed as off topic by Konrad Rudolph, gnat, Walter, Matthieu, Ryathal Sep 14 '12 at 19:46
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I couldn't give you any decent information on Statistics::useR, but I've used Statistics::R for the last 18 months to aid in the development of a genome informatics pipeline I have been working on as part of my PhD. I have found it an excellent package for doing exactly as you require. From looking at the package details on CPAN I find the syntax for Statistics::R easier to use than Statistics::useR, but I think they are both pretty similar in the functionality they provide. Statistics::R seems to provide more of an interface to the actual interpreter, so that you send commands as you would enter a single command in the R console and then read it's output, if required. Statistics::userR appears to return the R data as a Perl object, so you can then work with it more in Perl. I guess it depends if you want R to do all the hard work (Statistics::R) or Perl to have more of an input in managing the data (Statistics::useR)? Or at least that's the picture I get from it! Cheers, Steve |
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