[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: Statistics on octave - Comparison with R
From: |
Dirk Eddelbuettel |
Subject: |
Re: Statistics on octave - Comparison with R |
Date: |
Fri, 16 Nov 2001 12:17:44 -0600 |
User-agent: |
Mutt/1.3.23i |
Pierre-Andre,
On Fri, Nov 16, 2001 at 06:58:52PM +0000, Pierre-Andre Cornillon wrote:
> 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 have a review in Journal of Applied Econometrics [ a copy is / was on
octave's web pages; if not I can email it to you ] which looks at Octave
from an Econometrician's point of view. It also has a little speed
comparison with R and Matlab using a small Monte Carlo example.
> 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 ?)
AFAIK it doesn't any more since R 1.2.0.
In general, it depends. I used to do more work in Octave, I currently tend
to do more work in R, but it is somewhat driven by what the questions are
you are trying to investigate. I find R and Octave to be more complementary
than substitutes.
Regards, Dirk
--
Better to have an approximate answer to the right question
than a precise answer to the wrong question. -- John Tukey
-------------------------------------------------------------
Octave is freely available under the terms of the GNU GPL.
Octave's home on the web: http://www.octave.org
How to fund new projects: http://www.octave.org/funding.html
Subscription information: http://www.octave.org/archive.html
-------------------------------------------------------------