R help - Oct 2006 - How can I generate this numbers

Hi wizards, I need to know how can I generate this numbers

I have n numbers N1,N2 , Nn  , but  Nn = 1- sum(N1+N2+...+Nn-1) and
sum(N1+N2+..Nn)=1
and N1,N2,..Nn  with 0<N<1 .

Does somebody know how to generate it ? Some distribution or algorithm.

Thanks in advance.








-- 
Web Page
http://www.geocities.com/ricardo_rios_sv/index.html

This sounds so simple it must be a homework problem, no?

				cheers,

					Rolf Turner
					rolf at math.unb.ca

Hi Rolf Turner, I have a  statistical model, it model need this
numbers for calculate the probability. This numbers must be random.

For example I need that
>magicfunction(3)
>[1] 0.3152460 0.5231614 0.1615926
>magicfunction(3)
>[1]  0.6147933 0.3122999  0.0729068
but the argument of the function is arbitrary , does somebody
know if exist this function in R?









On 10/2/06, Rolf Turner <rolf at erdos.math.unb.ca>
wrote:
>
> This sounds so simple it must be a homework problem, no?
>
>                                 cheers,
>
>                                         Rolf Turner
>                                         rolf at math.unb.ca
>

-- 
Web Page
http://www.geocities.com/ricardo_rios_sv/index.html

Ricardo Rios wrote:
> Hi Rolf Turner, I have a  statistical model, it model need this
> numbers for calculate the probability. This numbers must be random.
> 
> For example I need that
> >magicfunction(3)
> >[1] 0.3152460 0.5231614 0.1615926
> >magicfunction(3)
> >[1]  0.6147933 0.3122999  0.0729068
> 
> but the argument of the function is arbitrary , does somebody
> know if exist this function in R?
	As far as I know, no such function exists in R, but
	it would be totally trivial to write one, if that's
	what you really want.

	However the question you pose makes little sense to me.  If
	you really have a ``statisical model'' then there must be
	some marginal distribution for each of the probabilities (I
	*assume* They are probabilities) going into the sequence
	which you wish to sum to 1.

	You mention no such distribution.

	To generate such a sequence with an arbitray marginal
	distribution is so trivial that it does not bear discussing.

	If you really can't see how to do this, then you probably
	shouldn't be messing about with ``statistical models''.

	You did not explicitly deny that this is a homework problem.

	I still suspect that it is.

				cheers,

					Rolf Turner