[R] Nonparametric bivariate distribution estimation and sampling

[heyi xiao]

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.goslee at gmail.com> wrote:

> From: Sarah Goslee <sarah.goslee at gmail.com>
> Subject: Re: [R] Nonparametric bivariate distribution estimation and sampling
> To: "heyi xiao" <xiaoheyiyh at yahoo.com>
> Cc: r-help at 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 <xiaoheyiyh at 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
>