R help - Aug 2003 - How to do leave-n-out cross validation in R?

Seems crossval from library(bootstrap) can only be
used for leave-one-out and k-fold cross validation?
Here is a dumb question, suppose n=80, how to do
exactly leave-50-out cross validation? K-fold cross
validation is not eligible for this case since
n/ngroup is not an integer. Thanks!

On Tue, 26 Aug 2003, Lily wrote:
> Seems crossval from library(bootstrap) can only be
> used for leave-one-out and k-fold cross validation?
> Here is a dumb question, suppose n=80, how to do
> exactly leave-50-out cross validation? K-fold cross
> validation is not eligible for this case since
> n/ngroup is not an integer. Thanks!
First, _you_ have to say exactly what _you_ mean by leave-n-out CV. If you
can specify the algorithm, you can program it in R (or we may be able to 
help).

As I have never encountered this, I don't know the definition, nor do I
see the point.  I suspect it is not really cross-validation at all (the
term is widely misused in the machine-learning/neural nets communities to
mean the use of a validation set).

-- 
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)
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