Not sure what is your exact requirement but you can compute marginals
and conditional probabilities using 'prob' package of Prof. Kerns.
On 25 January 2013 22:15, Rui Barradas <ruipbarra...@sapo.pt> wrote:
> Hello,
>
> You need to be much more specific. What do you know about the distributions
> of X and Y? And about their joint distribution?
>
> If you suspect the joint distribution to be a bivariate normal try package
> mvtnorm with
>
> mu <- c(mean(x), mean(y))
> sigma <- cov(cbind(x, y))
>
>
> You can also try kernel density estimates:
>
> library(sos)
> findFn('kde')
>
>
> Hope this helps,
>
> Rui Barradas
>
> Em 25-01-2013 18:13, eliza botto escreveu:
>
>>
>> Dear R family,
>> I want to calculate the joint probability (distribution) of two random
>> continuous variables X and Y.
>> Could to please tell me how to do it?Thanks in advance..
>> elisa
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
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>> and provide commented, minimal, self-contained, reproducible code.
>>
>
> ______________________________________________
> 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.
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