On Wed, 3 Oct 2007, Patrick Burns wrote: > I don't think it is so much that the R routines > work faster/more efficiently/more accurately > but that the user works faster/more efficiently/ > more accurately.
And in particular a user can do many informative/insightful/penetrating statistical/graphical analyses that are not readily available for Matlab or SPSS. In the case of the distribution functions it probably is the case that the distribution functions ([dpq]xxxx) are more accurate than other sources, thanks to the sustained efforts of Martin Maechler and others. > Patrick Burns > [EMAIL PROTECTED] > +44 (0)20 8525 0696 > http://www.burns-stat.com > (home of S Poetry and "A Guide for the Unwilling S User") > > Matthew Dubins wrote: > >> Hi all, >> >> I've become quite enamored of R lately, and have decided to try to teach >> some of its basics (reading in data, manipulation and classical stats >> analyses) to my fellow grad students at the University of Toronto. I >> sent out a mass email and have already received some positive >> responses. One student, however, wanted to know what differentiates the >> routines that R uses, from those that MATLAB and SPSS use. In other >> words, in what respects do R routines work faster/more efficiently/more >> accurately than those of MATLAB/SPSS. >> >> I thank you in advance for any answer you can give me (or rather, the >> inquiring student). >> >> Cheers, >> Matthew Dubins -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ 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.
