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
