You are right.
I brought this example just to see how to use its with two time series. In
reality I have price process and returns, and I need conditional density.

Will highly appreciate your help.

I found function kde2d but cannot understand how to call for the values of
the matrix.


On Mon, Nov 30, 2009 at 4:48 PM, David Winsemius <dwinsem...@comcast.net>wrote:

>
> 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 <rdapam...@gmail.com> wrote:
>>
>>  Seems that I found it - kde2d
>>>
>>>
>>> On Mon, Nov 30, 2009 at 2:36 PM, Trafim <rdapam...@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@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
>
>

        [[alternative HTML version deleted]]

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