[R] R vs SAS and Revolution R

Prof Brian Ripley ripley at stats.ox.ac.uk
Sun Jun 20 08:42:31 CEST 2010


On Sat, 19 Jun 2010, Joshua Wiley wrote:

> On Sat, Jun 19, 2010 at 2:30 PM, Bogaso Christofer
> <bogaso.christofer at gmail.com> wrote:
>> When the version 2.12 is issued? Is it available for download (windows
>> version)? Currently I am using the version 2.11.1
>
> It is still in development, but you can get the development version
> for windows here:
>
>
> http://cran.r-project.org/bin/windows/base/rdevel.html
>
> or 64-bit here:
>
> http://cran.r-project.org/bin/windows64/base/rdevel.html

And note that those two pages have the same content: only for the 
2.11.x series are there separate 32- and 64-bit distributions of 
Windows R (simply because there was not enough time for the planned 
integration).

>
> Josh
>
>>
>> -----Original Message-----
>> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On
>> Behalf Of skan
>> Sent: 19 June 2010 19:10
>> To: r-help at r-project.org
>> Subject: [R] R vs SAS and Revolution R
>>
>>
>> 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.ht
>> ml
>> Sent from the R help mailing list archive at Nabble.com.
>>
>> ______________________________________________
>> R-help at 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.
>>
>> ______________________________________________
>> R-help at 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.
>>
>
>
>
> -- 
> Joshua Wiley
> Ph.D. Student
> Health Psychology
> University of California, Los Angeles
>
> ______________________________________________
> R-help at 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.
>

-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
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


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