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joint probability distribution

4 messages · Eliza Botto, Rui Barradas, Suzen, Mehmet +1 more

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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:
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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 <ruipbarradas at sapo.pt> wrote:
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http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example

John Kane
Kingston ON Canada
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