[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

From |
"Salah Mahmud" <salah.mahmud@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Stata code to run R code from within Stata and return certain pieces of the results as Stata macros |

Date |
Sat, 31 May 2008 10:37:51 -0500 |

Thanks Phil, On Sat, May 31, 2008 at 9:52 AM, Phil Schumm wrote: > Why go through a text file? Why not just save a temporary file (in Stata > format), and read it into R with the foreign package? I agree that using the foreign lib allows for importation of variable labels into R etc but using simple text files has the advantage of avoiding incompatibilities due to changing Stata file formats. Any version of Stata and R is capable of importing/exporting text files. > > Note that this approach would not involve any interprocess communication > between Stata and R, and would therefore be easily transferrable to all > platforms on which both Stata and R run (since Python is easily available > for all of these). I like that. I think using text files or (perhaps XML) is preferable to any solutions that would involve native OS-specific solutions. > Now, Stata's complete set of data structures (i.e., variables, matrices, > macros, scalars, etc.) is quite different from R's; moreover, figuring out > how to move R's various types of result objects into Stata would take some > serious work. For this reason, a complete implementation of an abstraction > layer would take *a lot* of work, and there may be some areas that simply > cannot be addressed in a practical way. Thus, if I were going to do this > project, I'd start by creating an outline of what the abstraction layer > might look like, and then pick just one, clearly defined area to implement > first as a proof-of-concept. This would, by itself, give you some > functionality, and you could then decide whether and how to begin extending > it. The project that you describe is ambitious and definitely requires a lot of work. It would be great to be able to do all that but my requirements are simpler because they only involve exporting Stata data and importing specific R memory elements. This is even simpler than the proof-of-concept you proposed above. Having said that, R is very versatile and like Stata has a vibrant creative community. It is been awhile since the last time I researched R capabilities and new packages so there might be an R package out there that could do many of the more complicated tasks that were discussed in this thread. Thanks again, /salah * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Stata code to run R code from within Stata and return certain pieces of the results as Stata macros***From:*"Salah Mahmud" <salah.mahmud@gmail.com>

**st: RE: Stata code to run R code from within Stata and return certain pieces of the results as Stata macros***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

**Re: st: RE: Stata code to run R code from within Stata and return certain pieces of the results as Stata macros***From:*"Salah Mahmud" <salah.mahmud@gmail.com>

**Re: st: Stata code to run R code from within Stata and return certain pieces of the results as Stata macros***From:*Phil Schumm <pschumm@uchicago.edu>

- Prev by Date:
**Re: st: Stata code to run R code from within Stata and return certain pieces of the results as Stata macros** - Next by Date:
**Re: st: RE: Stata code to run R code from within Stata and return certain pieces of the results as Stata macros** - Previous by thread:
- Next by thread:
- Index(es):

© Copyright 1996–2014 StataCorp LP | Terms of use | Privacy | Contact us | What's new | Site index |