  Hi,
In this case, str() would help you a lot too to understand the structure 
of your ft object, and especially which element contains what.
Ivan

Le 9/20/2010 04:59, Michael Bedward a écrit :
> A good function to know about is names().  For example...
>
> ft<- fisher.test( my.data )
> names(ft)
>
> Produces the following listing...
> [1] "p.value"     "conf.int"    "estimate"    "null.value"
> "alternative" "method"      "data.name"
>
> You can then access any of those attributes with the "$" operator as
> you did with p.value
>
>
> On 20 September 2010 12:03, selthy<selthy@hotmail.com>  wrote:
>> Great! I'm loving this forum. I'm slowly teaching myself the basics of R, but
>> in the meantime this is saving me a lot of time in the data analysis phase
>> (I'm a molecular biologist). Thanks again!
>> --
>> View this message in context: http://r.789695.n4.nabble.com/Converting-tables-to-matrices-tp2543309p2546450.html
>> Sent from the R help mailing list archive at Nabble.com.
>>
>> ______________________________________________
>> R-help@r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

-- 
Ivan CALANDRA
PhD Student
University of Hamburg
Biozentrum Grindel und Zoologisches Museum
Abt. Säugetiere
Martin-Luther-King-Platz 3
D-20146 Hamburg, GERMANY
+49(0)40 42838 6231
ivan.calandra@uni-hamburg.de

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