2009/2/17 Esmail Bonakdarian <esmail...@gmail.com>: > Hello all, > > I am just wondering if any of you are doing most of your scripting > with Python instead of R's programming language and then calling > the relevant R functions as needed?
I tend to use R in its native form for data analysis and modelling, and python for all my other programming needs (gui stuff with PyQt4, web stuff, text processing etc etc). > And if so, what is your experience with this and what sort of > software/library do you use in combination with Python to be able > to access R's functionality. When I need to use the two together, it's easiest with 'rpy'. This lets you call R functions from python, so you can do: from rpy import r r.hist(z) to get a histogram of the values in a python list 'z'. There are some complications converting structured data types between the two but they can be overcome, and apparently are handled better with the next generation Rpy2 (which I've not got into yet). Google for rpy for info. > Is there much of a performance hit either way? (as both are interpreted > languages) Not sure what you mean here. Do you mean is: R> sum(x) faster than Python> sum(x) and how much worse is: Python> from rpy import r Python> r.sum(x) ? Knuth's remark on premature optimization applies, as ever.... Barry ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.