R help - Mar 2010 - with data in the form of an R data objecte: Monte Carlo simulation in R

Hi,  please use the following the matrix z as the example:

x<-c(2,4,5,7,6,9,8,2,0)
y<-matrix(x,3,3)
z<-apply(y,2,function(x)x/sum(x))
z




On Tue, Mar 23, 2010 at 6:59 PM, David Winsemius
<dwinsemius@comcast.net>wrote:
>
> On Mar 23, 2010, at 9:05 PM, Hongwei Dong wrote:
>
>  Hi, R-helpers,
>>
>> I'm trying to use R to do a Monte Carlo simulation and need the
help. What
>> I
>> have is a matrix that consists of the probabilities for the persons to
>> choose zones. For example, in the matrix shown below, each column
>> represents
>> a person, and each row represents a zone. So, the probability that the
>> first
>> person will choose the 2nd zone is 30%.
>>
>> 25% 30% 10%  30% 20% 0%  20% 50% 60%  50% 0% 10%  20% 0% 20%
>>
>
> As Alex Trebeck would say: Can you put that in the form of an R data
> object?
>
>
>
>> Based on this matrix, I want to locate the persons to zones based on
the
>> probability using a Monte Carlo method. The result I want to see is
like
>> this:
>>
>> 0 0 0  0 0 0  0 1 1  1 0 0  0 0 0
>>
>> Could anyone please give some help? Thanks.
>>
>
> You cannot specify what the result _will_ be and call the process
> simulation of results at the same time. The sample function should work for
> a vector. Why not use it?
>
> --
> David.
>
>
> David Winsemius, MD
> West Hartford, CT
>
>
	[[alternative HTML version deleted]]

On Mar 23, 2010, at 11:00 PM, Hongwei Dong wrote:
> Hi,  please use the following the matrix z as the example:
>
> x<-c(2,4,5,7,6,9,8,2,0)
> y<-matrix(x,3,3)
> z<-apply(y,2,function(x)x/sum(x))
> z
>
           [,1]      [,2] [,3]
[1,] 0.1818182 0.3181818  0.8
[2,] 0.3636364 0.2727273  0.2
[3,] 0.4545455 0.4090909  0.0

require(Hmisc)
# rMultinomial expects its subject probs to be in rows rather than in  
columns
# here is twenty realizations of three subjects
rMultinom(t(z), 20)

      [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [, 
13] [,14]
[1,]    3    3    2    2    1    3    3    3    3     2     2      
2     2     3
[2,]    2    3    1    2    3    3    3    1    2     1     1      
1     3     3
[3,]    1    1    1    2    1    1    1    1    1     1     1      
1     1     1
      [,15] [,16] [,17] [,18] [,19] [,20]
[1,]     3     2     3     3     3     2
[2,]     1     1     3     3     3     3
[3,]     2     1     1     1     1     1
>
>
>
> On Tue, Mar 23, 2010 at 6:59 PM, David Winsemius <dwinsemius at
comcast.net
> > wrote:
>
> On Mar 23, 2010, at 9:05 PM, Hongwei Dong wrote:
>
> Hi, R-helpers,
>
> I'm trying to use R to do a Monte Carlo simulation and need the  
> help. What I
> have is a matrix that consists of the probabilities for the persons to
> choose zones. For example, in the matrix shown below, each column  
> represents
> a person, and each row represents a zone. So, the probability that  
> the first
> person will choose the 2nd zone is 30%.
>
> 25% 30% 10%  30% 20% 0%  20% 50% 60%  50% 0% 10%  20% 0% 20%
>
> As Alex Trebeck would say: Can you put that in the form of an R data  
> object?
>
>
>
> Based on this matrix, I want to locate the persons to zones based on  
> the
> probability using a Monte Carlo method. The result I want to see is  
> like
> this:
>
> 0 0 0  0 0 0  0 1 1  1 0 0  0 0 0
>
> Could anyone please give some help? Thanks.
>
> You cannot specify what the result _will_ be and call the process  
> simulation of results at the same time. The sample function should  
> work for a vector. Why not use it?
>
> -- 
> David.
>
>
> David Winsemius, MD
> West Hartford, CT
>
>
David Winsemius, MD
West Hartford, CT