On Fri, Jun 27, 2008 at 9:58 AM, Alfredo Alessandrini <[EMAIL PROTECTED]> wrote: > I must analyse many data (about 2000 historical series of two variables). > > This data are organized in matrix. > > I must calculate some simple statistical analysis, and I must write a > script for to automate the processing. > > I've a simple question: > > What's the better method or working (I'm a beginner of python and R): > > - Numpy > - Bash shell + R > - Rpy + R > - Other possibilities??
Hi Alfredo, You missed out "just R', which is worth considering. You can do for loops etc in R. There is lots of documentation out there (and several excellent books). One webpage which might be helpful is: http://www.warwick.ac.uk/go/moac/degrees/modules/ch923/r_introduction/r_programming Personally I would say that as a beginner in both python and R, trying to learn both and use rpy at the same time is a very bad idea. If you will be doing lots of statistics in future, then learning R would be worthwhile. However, in my opinion, python is easier to learn than R, and is more general purpose. If you really are doing only simple statistics, then python should be fine. You may find the numpy and scipy libraries helpful - they do include some statistical code. Peter ------------------------------------------------------------------------- Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://sourceforge.net/services/buy/index.php _______________________________________________ rpy-list mailing list rpy-list@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/rpy-list
