Hi Sarah,

I am sorry, I'll try to be more precise. Given a dataset like...

> data(dune)
> dune[1:8, 1:10]
   Belper Empnig Junbuf Junart Airpra Elepal Rumace Viclat Brarut Ranfla
2       3      0      0      0      0      0      0      0      0      0
13      0      0      3      0      0      0      0      0      0      2
4       2      0      0      0      0      0      0      0      2      0
16      0      0      0      3      0      8      0      0      4      2
6       0      0      0      0      0      0      6      0      6      0
1       0      0      0      0      0      0      0      0      0      0
8       0      0      0      4      0      4      0      0      2      2
5       2      0      0      0      0      0      5      0      2      0

In this dataset we can see that the first species, named Belper, is present
in samples 2, 4 and 5 but is absent in samples 13, 16 and so on... Now my
question is, how can I extract the names of the species (and even their
abundances) that are common and the species that are not common between the
different samples in my dataset?

Many thanks in advance,

--
Gain






On 1 February 2014 13:42, Sarah Goslee <sarah.goslee@gmail.com> wrote:

> Hi Gian,
>
> I don't understand what you're trying to do. Can you give a simple example
> of your data and what your results should be?
>
> Sarah
>
> On Saturday, February 1, 2014, Gian Maria Niccolò Benucci <
> gian.benucci@gmail.com> wrote:
>
>> Hi all R-sig-ecologists,
>>
>>
>> Sorry for the very simple and probably stupid question. I was wandering if
>> exist a simple method or a function in R, to detect which different
>> species
>> are present among the samples of a given data community matrix.
>> Thanks a lot in advance,
>>
>> --
>> Gian
>>
>
>
> --
> Sarah Goslee
> http://www.stringpage.com
> http://www.sarahgoslee.com
> http://www.functionaldiversity.org
>

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