Message-ID: <199912230605.RAA09007@snowy.nsw.cmis.CSIRO.AU>
Date: 1999-12-23T06:05:23Z
From: Bill Venables
Subject: Very Large Data Sets
In-Reply-To: Your message of "Wed, 22 Dec 1999 22:38:30 MST." <000801bf4d07$f3441b60$af2c0e3f@hal>
Tony Fagan asks:
> List,
Sir,
> Can R handle very large data sets (say, 100 million records) for data
> mining applications?
The question assumes that the data handling capacity is a
property of the software alone, which is nonsense. It is partly
a property of the software, partly of what you want to do with
the records, but mostly of the system on which it is run.
> My understanding is that Splus can not, but SAS can easily.
Try handling 100 million records with SAS (or anything else) on a
486 and see how easily it does it.
More seriously, the consensus is that on the same modern system
SAS is usually better able to handle large, dumb calculations
than S-PLUS, which is (generally) better than R. Horses for
courses.
Bill Venables.
--
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Bill Venables, Statistician, CMIS Environmetrics Project.
Physical address: Postal address:
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