I looks like you want to use the 'split' function which would create a
list of dataframes with the various conditions:

result <- split(Baumdaten, list(Baumdaten$transectID,
Baumdaten$Baumart), drop = TRUE)

On Sun, Jul 15, 2012 at 11:31 AM, burton030 <burto...@hotmail.de> wrote:
> Dear all,
>
> I have a data frame with different variables and I want to build different
> subsets out of this data frame using some conditions and I want to use a
> loop because there will be a lot of subsets and this would be saving a lot
> of time.
>
> I try to give you an overview about my data frame. I have a data frame named
> "Baumdaten" and it has one column named "transectID" with different IDs
> (A_SEF ,A_LEF, B_SEF etc.) there is another column named "Baumart" with
> different species like Abies alba, Betula pendula, etc. I want to build now
> subsets and the first subset should be named A_2_SEF_Abies_alba and should
> contain all Abies alba that are living in A_2_SEF. So the normal code would
> be
>
> A_2_SEF_Abies_alba<-subset(Baumdaten,Baumart=="Abies
> alba"&pointID=="A_2_SEF")
>
>  The following step would be to replace Abies alba with Betula pendula and
> so on after doing this for A_SEF I have to start with A_LEF so a lot of time
> is needing thats why I want to ask if it is possible doing this by using a
> loop? Hope you can understand my problem...
>
>
>
> --
> View this message in context: 
> http://r.789695.n4.nabble.com/computing-a-subset-using-a-loop-tp4636564.html
> Sent from the R help mailing list archive at Nabble.com.
>
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-- 
Jim Holtman
Data Munger Guru

What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.

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