Re: [R] Practical Data Limitations with R

From: ajay ohri <ohri2007_at_gmail.com>
Date: Tue, 08 Apr 2008 20:10:14 +0530

Dear Jeff,

R works fine for 220000 rows that i tested on a home PC with XP . Memory is limited to hardware that you have. I suggest beefing up RAM to 2 GB and hard disk space and then working it out. I evaluated R too on my site www.decisionstats.com and I found it comparable if not better to SPSS , SAS.

As a beginner , and in corporate projects try using the *GUI* R Commander or the *Data Mining GUI Rattle *, its faster and will help you skip some steps, you can also look at code generated side by side to learn the language.........

I am not sure on the server client version, but that should work too ......

Also look at the book http://oit.utk.edu/scc/RforSAS&SPSSusers.pdf

that helps you as a reference guide. Rest of details are on my site www.decisionstats.com

Also *try the software WPS* http://www.teamwpc.co.uk/products/wps, which uses SAS language and provides the same functionality at 10-20 % of cost for millions of rows.

Hope this helps,

Ajay

On Tue, Apr 8, 2008 at 7:56 PM, Jeff Royce <Jeff.Royce_at_wnco.com> wrote:

> We are new to R and evaluating if we can use it for a project we need to
> do. We have read that R is not well suited to handle very large data
> sets. Assuming we have the data prepped and stored in an RDBMS (Oracle,
> Teradata, SQL Server), what can R reasonably handle from a volume
> perspective? Are there some guidelines on memory/machine sizing based
> on data volume? We need to be able to handle Millions of Rows from
> several sources. Any advice is much appreciated. Thanks.

>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> 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.
>

        [[alternative HTML version deleted]]



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. Received on Tue 08 Apr 2008 - 14:56:00 GMT

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.2.0, at Tue 08 Apr 2008 - 16:30:27 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.

list of date sections of archive