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## Statistics on octave - Comparison with R

**From**: |
Pierre-Andre Cornillon |

**Subject**: |
Statistics on octave - Comparison with R |

**Date**: |
Fri, 16 Nov 2001 18:58:52 +0000 (WET) |

Hello,
I have somewhere in octave manual that contributions on statistics are
welcome and i am wondering myself what are the advantages of octave versus
a typical statistical software such GNU-R.
For instance I have done the test (see in proceeding DSC 2001, J.W. Eaton)
tic (); x=[1:100000];total=0; for i=1:100000
total=total+x(i);endfor;toc()
(or the same with cpu_time)
and (under R)
system.time{x_1:100000;total_0;for(i in 1:100000) total_total+x[i]}
R was two times faster.
I used to use matlab on this kind of loop because Splus was incredibly
slow but now I don't see any advantages and thus if there is no
advantage I think that the community of statistician will may be use
(in majority) GNU-R.
May be some advanced user have something to answer (I know that R
use static allocation of memory but is it an disadvantage for a
basic user ?)
Pierre-Andre Cornillon
Rennes II
-------------------------------------------------------------
Octave is freely available under the terms of the GNU GPL.
Octave's home on the web: http://www.octave.org
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Subscription information: http://www.octave.org/archive.html
-------------------------------------------------------------

**Statistics on octave - Comparison with R**,
*Pierre-Andre Cornillon* **<=**