[R] Joint density approximation?

[David Winsemius]

On Nov 30, 2009, at 9:30 AM, Trafim wrote:

> Unfortunately, it doesn't work.
> Can you, please, help me with it?
>
In order to support the notion of a 2 dimensional distribution, you  
need a function that depends on ... 2 dimensions. All you have at the  
moment are two different one-dimensional functions.

What is you goal in this effort?

-- 
David.

> Thanks a lot.
>
> On Mon, Nov 30, 2009 at 2:53 PM, Trafim <rdapamoga at gmail.com> wrote:
>
>> Seems that I found it - kde2d
>>
>>
>> On Mon, Nov 30, 2009 at 2:36 PM, Trafim <rdapamoga at gmail.com> wrote:
>>
>>> Hi everybody,
>>>
>>> I am looking for the possibility in R to estimate joint density,  
>>> just for
>>> example:
>>>
>>> x <- seq(1,40,1)
>>> y <- 2*x+1+5*rnorm(length(x))
>>> y1 <- x^3+.5*rnorm(length(x))
>>>
>>> Is there a way to approximate the density function s.t. I will  
>>> later be
>>> able to calculate f(Y=y, Y1=y1)
>>>
>>> Thanks a lot
>>>
>>>
>>
>
> 	[[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at 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.

David Winsemius, MD
Heritage Laboratories
West Hartford, CT