On Sun, 26 Dec 2004, Dirk Eddelbuettel wrote:
On Sun, Dec 26, 2004 at 08:16:56AM -0500, Frank E Harrell Jr wrote:Brian - I really appreciate your work on this, and the data. The wise use of read.table that you mentioned should be fine for almost everything I do. There may be other users who need to read larger datasets for which memory usage is an issue. They can speak for themselves though.
Thanks as always for the near constant improvements to R.
One possible improvement would be more explicit examples, maybe in a \dontrun environment, showing some possible data file format and how arguments like colClasses can help increase performance over the naive use (that I am still using almost exclusively).
That's the purpose of the R-data manual, which had some and now has more, including timings of examples where it matters and where it does not.
Those are showing speeds of well over a million items a second.
-- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595
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