Helmut Kudrnovsky <hellik <at> web.de> writes: : : dear R-friends, : : i`ve got a large dataset of vegetation-samples with about 500 : variables(=species) in the following format: : : 1 spec1 : 1 spec23 : 1 spec54 : 1 spec63 : 2 spec1 : 2 spec2 : 2 spec253 : 2 spec300 : 2 spec423 : 3 spec20 : 3 spec88 : 3 spec121 : 3 spec200 : 3 spec450 : . : . : : this means: sample 1 (grassland) with the species (=spec) 1, 23, 54, 63 : : is it possible to get a following data-structure for further analysis? : : 1 2 3 ...... : spec1 1 1 0 : spec2 0 1 0 : spec3 : ... : spec253 0 1 0 : ... : spec450 0 0 1 : : with thanks from the snowy tirol : helli
If your intention is to use this as a community matrix with the R vegan package then I think you require the transpose of the above, namely (assuming DF contains your data frame): comm <- with(DF, table(sample, species)) library(vegan) diversity(comm) specaccum(comm, method = "random") etc. ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
