R help - Sep 2010 - Generating multinomial distribution and plotting

I have had plenty of succes generating one dimensional variables and plotting
them, but what do i do for more (specifically 2) dimensional multinomial
variables? 

I figure i have to create a vector consisting of two 1 dim normallly
distributed variables, that way i can also control the correlation. 

But how do i do this :) ?

Many thanks
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package: {mnormt}
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Hi:

Do you mean multinomial or multivariate normal? If the latter, then in
addition to the previous response, there is package mvtnorm and a function
mvrnorm() in the MASS package to generate correlated multivariate normal
samples.

HTH,
Dennis

On Sat, Sep 11, 2010 at 12:52 PM, thedreamshaper
<thedreamshaper@gmail.com>wrote:
>
> I have had plenty of succes generating one dimensional variables and
> plotting
> them, but what do i do for more (specifically 2) dimensional multinomial
> variables?
>
> I figure i have to create a vector consisting of two 1 dim normallly
> distributed variables, that way i can also control the correlation.
>
> But how do i do this :) ?
>
> Many thanks
> --
> View this message in context:
>
http://r.789695.n4.nabble.com/Generating-multinomial-distribution-and-plotting-tp2535895p2535895.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help@r-project.org mailing list
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> PLEASE do read the posting guide
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