Joint density approximation?
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