[R] Reasons to Use R
Greg Snow
Greg.Snow at intermountainmail.org
Wed Apr 11 18:15:49 CEST 2007
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Alan Zaslavsky
> Sent: Wednesday, April 11, 2007 9:07 AM
> To: R-help at stat.math.ethz.ch
> Subject: [R] Reasons to Use R
[snip]
> I have thought for a long time that a facility for efficient
> rowwise calculations might be a valuable enhancement to S/R.
> The storage of the object would be handled by a database and
> there would have to be an efficient interface for pulling a
> row (or small chunk of rows) out of the database repeatedly;
> alternatively the operatons could be conducted inside the
> database. Basic operations of rowwise calculation and
> cumulation (such as forming a column sum or a sum of
> outer-products) would be written in an R-like syntax and
> translated into an efficient set of operations that work
> through the database. (Would be happy to share some jejeune
> notes on this.)
The biglm and SQLiteDF packages have made a start in this direction
(unless I am missunderstanding you), adding functionality to either of
those seems the best use of effort.
> However the main answer to thie problem in
> the R world seems to have been Moore's Law. Perhaps somebody
> could tell us more about the S-Plus large objects library, or
> the work that Doug Bates is doing on efficient calculations
> with large datasets.
This link gives an overview and some detail of the S-PLUS big data
library
http://www.insightful.com/support/splus70win/eduguide.pdf
> Alan Zaslavsky
> zaslavsk at hcp.med.harvard.edu
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.snow at intermountainmail.org
(801) 408-8111
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