Hi Richard,
It is if you use Rattle. Rattle allows you to do that for quite a few types
of models and has a really nice GUI interface. It has been developed for
the purposes of datamining, and given your use of the term "score" in your
post, I assume in part that this is what you are looking for. You can
import a random sample of cases (a training percentage from the total
dataset) and the package will use the remainder of your sample for testing
and scoring. Rattle is very sophisticated in terms of the algorithms it
offers, and once you get going in R, SAS will become obselete (just
kidding).
Sorry if I am wrong here about what you need.
Welcome ..... Paul
----- Original Message -----
From: "Richard Palmer" <[EMAIL PROTECTED]>
To: <r-help@r-project.org>
Sent: Thursday, August 14, 2008 10:40 PM
Subject: [R] New to R. Question about very large files
.. I am new to R but experienced in SAS. SAS has the capability to let me
develop a model from a sample and use the results to score the records of
another file which won't fit in memory. Is this straightforward in R or
does it require coding to do the scoring in segments? Can someone point
me
to sample code that I can copy or modify to do this quickly?
--
Richard Palmer
Home 508 877-3862
Cell 508 982-7266
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