[R] Reasons to Use R [Broadcast]

Liaw, Andy andy_liaw at merck.com
Tue Apr 10 04:08:21 CEST 2007

I've probably been away from SAS for too long... we've recently tried to
get SAS on our 64-bit Linux boxes (because SAS on PC is not sufficient
for some of my colleagues who need it).  I was shocked by the quote for
our 28-core Scyld cluster--- the annual fee was a few times the total
cost of our hardware.  We ended up buying a new quad 3GHz Opterons box
with 32GB ram just so that the fee for SAS on such a box would be more
tolerable.  It just boggles my mind that the right to use SAS for a year
is about the price of a nice four-bedroom house (near SAS Institute!).
I don't understand people who rather pay that kind of price for the
software, instead of spending the money on state-of-the-art hardware and
save more than a bundle.

Just my $0.02...

From: Jorge Cornejo-Donoso
> I have a Dell with 2 Intel XEON 3.0 procesors and 2GB of ram....
> The problem is the DB size. 
> -----Mensaje original-----
> De: Gabor Grothendieck [mailto:ggrothendieck at gmail.com] 
> Enviado el: Lunes, 09 de Abril de 2007 11:28
> Para: Jorge Cornejo-Donoso
> CC: r-help at stat.math.ethz.ch
> Asunto: Re: [R] Reasons to Use R
> Have you tried 64 bit machines with larger memory or do you 
> mean that you can't use R on your current machines?
> Also have you tried S-Plus?  Will that work for you? The 
> transition from that to R would be less than from SAS to R.
> On 4/9/07, Jorge Cornejo-Donoso <jorgecornejo at uach.cl> wrote:
> > tha s9ze of db is an issue with R. We are still using SAS because R 
> > can't handle own db, and of couse we don't want to sacrify 
> resolution, 
> > because the data collection is expensive (at least in fisheries and 
> > oceagraphy), so.. I think that R need to improve the use of big DBs.
> > Now I only can use R for graph preparation and some data 
> analisis, but 
> > we can't do the main work on R, abd that is really sad.
> >
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