[EMAIL PROTECTED] wrote: > Robert Kern wrote: > > <snip> > >>If you find suitable >>FORTRAN or C code that implements a particular "robust" algorithm, it >>can probably wrapped for scipy relatively easily. > > > An alternative would be to call R (a free statistical package) from > Python, using something like the R/SPlus - Python Interface at > http://www.omegahat.org/RSPython/ .
Unless you really want to call Python from R (as opposed to calling R from Python), I strongly suggest that you use RPy (http://rpy.sf.net) rather than RSPython. RPy is much easier to install and use and far less buggy than RSPython. > Many statistical algorithms, > including those for robust statistics, have been implemented in R, > usually by wrapping C or Fortran 77 code. Yup, and if you really don't like the extra dependency or extra memory requirements of R and RPy, it is often possible to port the R code back to Python (or Numeric Python), with some effort. Tim C -- http://mail.python.org/mailman/listinfo/python-list