You should look at Loader, C. (1999) Local Regression and Likelihood, Springer.
on which the package is based. In particular, check out page 218. locfit() evaluates the regression surface over a grid that's chosen adaptively. In small bandwidth situations, it can run out of memory for storing the grid. Try increasing the `maxk' argument. -roger _______________________________ UCLA Department of Statistics [EMAIL PROTECTED] http://www.stat.ucla.edu/~rpeng On 25 Mar 2003, William T Morgan wrote: > Dear R experts, > > We've been playing with the locfit package and are experiencing a > problem I am hoping for some help on. > > We have a dataset of 13k points, one dimension of which is "judgment", > either 0 or 1, and the other "score", an arbitrary scalar (in this case > it's between .65 and .85). We use > > locfit(judgement~score,kern="rect",deg=0,family="normal",alpha=c(alpha0,alpha1)) > > which is the simplest scenario we can think of (though not the one we > would like to use ultimately). The problem: under very small alpha1s > (e.g. 0.001), we see the warning "newsplit: out of vertex space" and > locfit produces a non-sensical output. > > Does anyone know the source of this warning? More importantly, are we > mistaken in our usage of such a small alpha1? (The scores are very > tightly packed; there are no windows of size .001 without at least > a few datapoints). > > Thank you for your help. > > -- > William T Morgan <[EMAIL PROTECTED]> > The Mitre Corporation > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
