On Wed, Dec 18, 2002 at 04:53:37PM -0400, Rolf Turner wrote: > I wish to produce a weighted (Gaussian?) kernel density estimate, in > 2 dimensions, where the weights are permitted to be ***negative***. > (I can ASSURE you that there are perfectly legitimate reasons why I > want to do this. :-))
hmm... "trust me, I know what I'm doing". The very phrase that results in many, many children being born each year.... ;) > Clearly it is not really a density that I am > trying to estimate. possible quick workarounds... 1) remove entries that have negative weights before you calculate the density? 2) re-scale your weights so they're all positive. Depending on the weighting (and exctly what you're doing), my.weights2 <- exp(my.weights) or my.weights2 <- my.weights + min(my.weights) Cheers Jason -- Indigo Industrial Controls Ltd. 64-21-343-545 [EMAIL PROTECTED] ______________________________________________ [EMAIL PROTECTED] mailing list http://www.stat.math.ethz.ch/mailman/listinfo/r-help
