R help - Feb 2007 - generate Binomial (not Binary) data

Dear All,
   
  I am looking for an R function or any other reference to generate a series of
correlated Binomial (not a Bernoulli) data. The "bindata" library can
do this for the binary not the binomial case.
   
  Thank you,
   
  Bernard
   
   
   
     

 		
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On 07-Feb-07 Marc Bernard wrote:
> Dear All,
>    
>   I am looking for an R function or any other reference to generate a
> series of correlated Binomial (not a Bernoulli) data. The
"bindata"
> library can do this for the binary not the binomial case.
>    
>   Thank you,
>    
>   Bernard
How do you want your series of binomial datato be "correlated"?
Ted.

--------------------------------------------------------------------
E-Mail: (Ted Harding) <Ted.Harding at manchester.ac.uk>
Fax-to-email: +44 (0)870 094 0861
Date: 07-Feb-07                                       Time: 14:17:15
------------------------------ XFMail ------------------------------

Marc Bernard <bernarduse1 <at> yahoo.fr>
writes:
>   I am looking for an R function or any other reference to generate a
series
of correlated Binomial (not a
> Bernoulli) data. The "bindata" library can do this for the binary
not the
binomial case.

But binomial is just a sum of Bernoulli vars so this should be doable. 

Gregor

On 2/7/2007 8:20 AM, Marc Bernard wrote:
> Dear All,
>    
>   I am looking for an R function or any other reference to generate a
series of correlated Binomial (not a Bernoulli) data. The "bindata"
library can do this for the binary not the binomial case.
Ted asked how you want your series correlated.  Another question is how 
you want it "binomial":  do you want each value to be binomial with 
parameters conditional on previous values, or do you want each to be 
marginally binomial with some fixed parameters?

I can only think of two trivial solutions that meet both conditions 
simultaneously:  the i.i.d. sequence, and a sequence that repeats 0 
indefinitely.  I'd be interested in hearing if anyone knows of any 
non-trivial examples of sequences where the distributions are both 
conditionally and marginally binomial, or a proof that there are none.

Duncan Murdoch