You can also specify weights in sm.density() in the package sm. Cheers
Francisco >From: Prof Brian Ripley <[EMAIL PROTECTED]> >To: [EMAIL PROTECTED] >CC: [email protected] >Subject: Re: [R] kernel smoothing of weighted data >Date: Tue, 16 Aug 2005 18:13:43 +0100 (BST) > >density() in the R-devel version of R allows weights. > >locfit() in the package of the same name also appears to be documented to. > >On Tue, 16 Aug 2005 [EMAIL PROTECTED] wrote: > > > I want to use kde() or a similar function for kernel smoothing but I >want > > to specify the weight of each of my data points. I do not want to >specify > > the bandwidth on a point by point basis. > >The only kde() I found is from the recent package ks, and is for >multivariate data -- if you want that, you did not say so and I've not >looked for an answer there. > > > This seems such a simple and obvious thing to want to do I am suspicious > > that there is not an obvious way to do it. The only discussion I have > > found is about negative weights(!) and says nothing about >implementation. > > Can anyone suggest a package I have missed or suggest the best starting > > point for writing my own solution. > > > > The reason for wanting this is that I have a number of samples each of > > ~1000 data points from the same distribution but the samples are of > > slightly differing statistical weight and eventually each point in each > > sample may have its own statistical weight. > > > > I have searched the list but I am not subscribed to it so please make me >an > > addressee of any reply. > > >-- >Brian D. Ripley, [EMAIL PROTECTED] >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 272866 (PA) >Oxford OX1 3TG, UK Fax: +44 1865 272595 > >______________________________________________ >[email protected] mailing list >https://stat.ethz.ch/mailman/listinfo/r-help >PLEASE do read the posting guide! >http://www.R-project.org/posting-guide.html ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
