First of all thanks a lot for your answer.

Now I will try to realize your suggestion.


Greetings

B

Am 21.09.2007 um 11:38 schrieb James Reilly:

>
> If I understand you right, you have several multiple response  
> variables (with the responses encoded in numeric strings) and you  
> want to see whether these are associated with sex. To tabulate the  
> data, I would convert your variables into collections of dummy  
> variables using regexpr(), then use table(). You can use a modified  
> chi-squared test with a Rao-Scott correction on the resulting  
> tables; see Thomas and Decady (2004). Bootstrapping is another  
> possible approach.
>
> @article{,
>       Author = {Thomas, D. Roland and Decady, Yves J.},
>       Journal = {International Journal of Testing},
>       Number = {1},
>       Pages = {43 - 59},
>       Title = {Testing for Association Using Multiple Response Survey  
> Data: Approximate Procedures Based on the Rao-Scott Approach.},
>       Volume = {4},
>       Year = {2004},
> Url=http://search.ebscohost.com/login.aspx? 
> direct=true&db=pbh&AN=13663214&site=ehost-live
> }
>
> Hope this helps,
> James
> -- 
> James Reilly
> Department of Statistics, University of Auckland
> Private Bag 92019, Auckland, New Zealand
>
> On 21/9/07 7:14 AM, Birgit Lemcke wrote:
>> First thanks for your answer.
>> Now I try to explain better:
>> I have species in the rows and morphological attributes in the   
>> columns coded by numbers (qualitative variables; nominal and  
>> ordinal).
>> In one table for the male plants of every species and in the  
>> other  table for the female plants of every species. The variables  
>> contain  every possible occurrence in this species and this gender.
>> I would like to compare every variable between male and female  
>> plants  for example using a ChiSquare Test.
>> The Null-hypothesis could be: Variable male is equal to variable  
>> Female.
>> The question behind all is, if male and female plants in this  
>> species  are significantly different and which attributes are  
>> responsible for  this difference.
>> I really hope that this is better understandable. If not please ask.
>> Thanks a million in advance.
>> Greetings
>> Birgit
>

Birgit Lemcke
Institut für Systematische Botanik
Zollikerstrasse 107
CH-8008 Zürich
Switzerland
Ph: +41 (0)44 634 8351
[EMAIL PROTECTED]






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