On Sep 8, 2010, at 6:59 PM, tuggi wrote:


hello,

tank you very very much. it solves my first problem. i hope you can help me
also with the second problem.
it was like this.


p_11=seq(0,1,0.1)
p_12=seq(0,1,0.1)
then i get also this error message:
Error in rmultinom(n - q + 1, size = 1, prob = rbind(p_11, p_12, (1 - :
 non-positive probability

It seems to be a very informative error message. The first element of seq(0,1,0.1) is going to be zero and rmultinom doesn't accept non-zero probabilities. If you would explain what you _were_ trying to accomplish it might be possible to say more, but without some explication we would be "stumbling around in the dark". Furthermore I wonder whether you really meant to offer a matrix to rmultinom for probabilities? The help page says "prob" should be a vector.

OK, I will stumble around:
If you want one random draw one one item from into n-q+1 equally probable bins, then wouldn't you use:

rmultinom(n - q + 1, size = 1, prob = rep(0.1, 10) )
> rmultinom(1, size = 1, prob = rep(0.1, 10) )
      [,1]
 [1,]    0
 [2,]    0
 [3,]    0
 [4,]    0
 [5,]    0
 [6,]    0
 [7,]    0
 [8,]    0
 [9,]    1
[10,]    0

If you want 10 draws:

>  rmultinom(10, size = 1, prob = rep(0.1, 10) )
      [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
 [1,]    1    0    0    0    0    0    0    0    0     1
 [2,]    0    0    0    0    0    0    0    0    0     0
 [3,]    0    1    1    0    0    0    0    0    0     0
 [4,]    0    0    0    1    0    0    0    0    0     0
 [5,]    0    0    0    0    0    0    0    0    1     0
 [6,]    0    0    0    0    0    0    0    0    0     0
 [7,]    0    0    0    0    1    1    0    0    0     0
 [8,]    0    0    0    0    0    0    1    0    0     0
 [9,]    0    0    0    0    0    0    0    1    0     0
[10,]    0    0    0    0    0    0    0    0    0     0

And if you want 1 sample of 100 items:
>  rmultinom(1, size = 100, prob = rep(0.1, 10) )
      [,1]
 [1,]   10
 [2,]   10
 [3,]   12
 [4,]   12
 [5,]    8
 [6,]   11
 [7,]    9
 [8,]    6
 [9,]    7
[10,]   15

But as I said that's a WAG at where you might be having problems.

--
David.


i try to solve this problem with a if  order like this:

p_11=seq(0,1,0.1)
p_12=seq(0,1,0.1)
guete = function(p_11,p_12) { if(p_11+p_12<1)
set.seed(1000)
S_vek=matrix(0,nrow=N,ncol=1)
for(i in 1:N) {
X_0=rmultinom(q-1,size=1,prob=p_0)
X_1=rmultinom(n-q+1,size=1,prob=cbind(p_11,p_12,(1-p_11-p_12)))
N_0=apply(X_0[,(n-2*k-L+1):(n-k-L)],1,sum)
N_1=apply(X_1[,(n-q-k+2):(n-q+1)],1,sum)
S_vek[i]=((sum(((N_1-k*cbind(p_11,p_12,(1-p_11-p_12)))^2)/ k*cbind(p_11,p_12,(1-p_11-p_12))))/(sum(((N_0-k*p_0)^2)/k*p_0)))-1
}
1-mean(f_1<=S_vek & S_vek <=f_2)
}


f=outer(p_11,p_12,Vectorize(guete))

but i get the error message:
Error in rmultinom(n - q + 1, size = 1, prob = cbind(p_11, p_12, (1 - :
 non-positive probability.

thank for your helps.
Tuggi


--
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David Winsemius, MD
West Hartford, CT

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