[R] Approximation of a function from R^2 to R

[Greg Snow]

why not just use the tools in npudens?  they can predict on a new set.

You can also you tools like fitdistr to fit a parametric multivariate
density, or you can use loess or lm with poly or splines to estimate the
surface (but this will not guarantee a volume of 1).

On Thu, Jan 15, 2015 at 2:19 AM, rala <stachel9 at gmx.de> wrote:

> Thanks for the reply. I have datapoints.
> What I actually want to do is to estimate a joint density function.
> I used npudens() to estimate the kernel density of two vectors and got the
> densities at the evaluation points. Now I want an approximation for this so
> I can have an estimate for different points.
>
>
>
> --
> View this message in context:
> http://r.789695.n4.nabble.com/Approximation-of-a-function-from-R-2-to-R-tp4701805p4701828.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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.
>



-- 
Gregory (Greg) L. Snow Ph.D.
538280 at gmail.com

	[[alternative HTML version deleted]]