I think not considering the zero cells compromises the estimates you derive from you analysis. For instance, what will be the value of N used in the MLE estimation? 

You can ZIP - Zero Inflated Poisson which should provide you with the means to account for the zeros. R has funstions to do that. Form the top of my head, I can remember "zicount".

Ciao!

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--- On Wed, 6/25/08, Peng Jiang <jp021@sjtu.edu.cn> wrote:
From: Peng Jiang <jp021@sjtu.edu.cn>
Subject: Re: [R] How to solve empty cells in the contingency table?
To: "程燕" <cheng_lucy@hotmail.com>
Cc: r-help@r-project.org
Date: Wednesday, June 25, 2008, 3:35 AM

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 上午2:14, 程燕 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
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--------------------------
Peng Jiang
江鹏
Ph.D. Candidate

Antai College of Economics & Management
安泰经济管理学院
Department of Mathematics
数学系
Shanghai Jiaotong University (Minhang Campus)
800 Dongchuan Road
200240 Shanghai
P. R. China

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