R help - Jun 2008 - How to solve empty cells in the contingency table?

Hi,Dear all R experts,
 
    I am trying to do the 2-way contingency table analysis by fitting the
loglinear models. However, I found my table has several empty cells which are
theoretically missing values.I have no idea of how to solve them coz we cannot
compute the simulated p-value with zero marginals.Does someone have some
suggestions? Please help me out, thanks a lot!
 
Cheers,
Yan
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Hi  , yan
  I don't think that is a R specific problem. Treating missing value  
is not that trivial,
  it depends too much on your raw data and your essential problem.

regards.

On 2008-6-25, at ??2:14, ?? wrote:
>
> Hi,Dear all R experts,
>
>    I am trying to do the 2-way contingency table analysis by fitting  
> the loglinear models. However, I found my table has several empty  
> cells which are theoretically missing values.I have no idea of how  
> to solve them coz we cannot compute the simulated p-value with zero  
> marginals.Does someone have some suggestions? Please help me out,  
> thanks a lot!
>
> Cheers,
> Yan
> _________________________________________________________________
> ?????????????????? 
> ????????MSN????????TA??????????
> http://im.live.cn/emoticons/?ID=18
> 	[[alternative HTML version deleted]]
>
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--------------------------
Peng Jiang
??
Ph.D. Candidate

Antai College of Economics & Management
????????
Department of Mathematics
???
Shanghai Jiaotong University (Minhang Campus)
800 Dongchuan Road
200240 Shanghai
P. R. China

>
> Hi,Dear all R experts,
>
>    I am trying to do the 2-way contingency table analysis by fitting 
> the loglinear models. However, I found my table has several empty 
> cells which are theoretically missing values.I have no idea of how 
> to solve them coz we cannot compute the simulated p-value with zero 
> marginals.Does someone have some suggestions? Please help me out, 
> thanks a lot!
>
> Cheers,
> Yan
One approach: if they are *structural zeroes*,

tab <- as.data.frame(table(x,y))

then use the exactLoglinTest package's mcexact function

David Duffy.