Re: [R] R vs SAS and Revolution R

From: Wensui Liu <liuwensui_at_gmail.com>
Date: Sat, 19 Jun 2010 17:00:00 -0400

it really depends on how you define "large dataset".

In a corporate production environment, it is not unusual to do data manipulation for x-G dataset. In this case, SAS might be preferred from my personal experience.

On Sat, Jun 19, 2010 at 9:39 AM, skan <juanpide_at_gmail.com> wrote:
>
> Hello
>
> How do you compare R to SAS in terms of speed and management of large
> datasets?
>
> What about Revolution R?
> I've seen on their site, they claim that Revolution R is much faster than R
> and it's multithread...
> Can you really notice the difference?. What dissadvantage does it have?
> I think it's based on R 2.10.   but R  already issued the version 2.12
>
>
> Regards
>
>
>
> What alternative to R would you use in order to merge asynchronus time
> series?. SAS, Stata, eViews...?
> --
> View this message in context: http://r.789695.n4.nabble.com/R-vs-SAS-and-Revolution-R-tp2261149p2261149.html
> Sent from the R help mailing list archive at Nabble.com.
>
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-- 
==============================
WenSui Liu
wensliu_at_paypal.com
statcompute.spaces.live.com
==============================

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Received on Sat 19 Jun 2010 - 21:03:33 GMT

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