Sarah, Thanks for the response. I actually have several years of working experience with R and statistics, although may not be as good as you. that’s why I am here ;) I dug deeper into R documentations and previous R-help posts, and couldn’t found anything particular help. Again, I want to do two things: (1) estimate the probability density of this bivariate distribution using some nonparametric method (kernel, spline etc); (2) sample a big dataset from this bivariate distribution for a simulation study. If my questions are not clear enough show my how I can improve, or which part is not clear enough. If you have any particular suggestions/comments, you are more than welcome. Thanks! Heyi
--- On Fri, 3/23/12, Sarah Goslee <sarah.gos...@gmail.com> wrote: > From: Sarah Goslee <sarah.gos...@gmail.com> > Subject: Re: [R] Nonparametric bivariate distribution estimation and sampling > To: "heyi xiao" <xiaohey...@yahoo.com> > Cc: r-help@r-project.org > Date: Friday, March 23, 2012, 12:26 PM > R can do all of that and more. > > But you'll need to put some work in reading about how to use > R, about > the statistical methods involved, and about how to use them > to best > effect. You might want, for instance, generalized additive > models. Or > not. If your question isn't more fully-formed than this, > your best bet > is almost certainly to talk to a local statistician, spend > some time > working with R, and then come back to the list with > specific > questions. > > Sarah > > On Fri, Mar 23, 2012 at 12:17 PM, heyi xiao <xiaohey...@yahoo.com> > wrote: > > Dear all, > > I have a bivariate dataset from a preliminary study. I > want to do two things: (1) estimate the probability density > of this bivariate distribution using some nonparametric > method (kernel, spline etc); (2) sample a big dataset from > this bivariate distribution for a simulation study. > > Is there any good method or package I can use in R for > my work? I don’t want parametric models like bivariate > normal distribution etc, as I would like to accurate model > my data. I don’t want to use the bootstrapping approach, > i.e. sampling with replacement, as this will generate lots > of duplicate data points. Any thoughts or input will be > highly appreciated! > > Heyi > > > > > > -- > Sarah Goslee > http://www.functionaldiversity.org > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
