[R] Specification of factors in tapply
Prof Brian Ripley
ripley at stats.ox.ac.uk
Wed Feb 21 18:38:22 CET 2001
On Wed, 21 Feb 2001, Hedderik van Rijn wrote:
> First of all, thanks for the helpful reply (also to Peter Dalgaard).
> > I think you are just discovering that if you collapse an array to a
> > vector, you get the results in Fortran order.
> > tapply() gives a *table*, in this case each element is a vector of
> > logicals. Tables are stored with first index varying the fastest. So
> > where's the surprise?
> Obviously, I overlooked the exact representation of the result of tapply.
> A nice example of conformation bias as the unlist command seemed the right
> function to use but clouded my the actual return structure. :-)
> If I understand correctly, my code depends on the "accidental" order of
> table representations. Browsing through of R scripts I wrote, it seems that
> I've been very lucky not to stumble upon this earlier as I use this
> "feature" quite often.
> So, two questions pop up.
> First, can I use this "feature" savely, or is should it be considered
> "undocumented" and instable? (I do not like the idea of possible different
> results if I ever happen to run the scripts using later versions of R.)
The `first index varying fastest' representation of an array is documented
> Second, what are the functions/methods I could use to get these results in a
> more R-ish way? I quite often want to perform some function per subset of a
> dataframe and include the results back into the frame. As in the example I
> sent, finding the first value equal to or larger than 0 per
> subject/condition combination.
by() is a safer tool. It gives you subsets labelled by the factors used
to generate them, and the results on those subsets. It is a wrapper to
tapply, of course, and postdates some of the documentation. (`An
Introduction to R' is still really Bill Venables' `Notes on S' from 1990.
We are well aware that it is not comprehensive, but are not attempting to
write R versions of existing S books, including two by Venables + ANO.)
Brian D. Ripley, ripley at stats.ox.ac.uk
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 272860 (secr)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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