> -----Original Message----- > From: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] On Behalf Of Alan Zaslavsky > Sent: Wednesday, April 11, 2007 9:07 AM > To: R-help@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 > [EMAIL PROTECTED] -- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare [EMAIL PROTECTED] (801) 408-8111 ______________________________________________ R-help@stat.math.ethz.ch 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.
