Re: [R] kernel smooth for tw-dimensional data

From: Patrick Wang <pwang_at_berkeley.edu>
Date: Tue, 05 Jun 2007 20:33:03 -0700 (PDT)

Hi, I found kde2d in the MASS packages return densities for the bivariate random varaibles.

I donot understand why each element of density Z is a 2*2 matrix. Why it is not a number.

For example, a bivariate normula distribution given (x, y) will return a number, the density, not a matrix.

Thanks
Pat

> Hi all:
>
> I can use the density() function to get the kernel density for given
> observed data X with bandwidth.
>
> Is there a function in R that can take in two dimensional data(x, y) and
> return a joint density based
> on the bandwidth. Do I need to provide bandwith for x and then for y?
>
> Is the GRASS package
> kde2d.G(x, y, h, G, reverse=reverse(G))
>
> provide such function?
>
> Thanks
> pat
>
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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. Received on Wed 06 Jun 2007 - 03:40:58 GMT

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