Dear Jari, For what it's worth, I could see the need in my own work for species accumulation curves with variable sampling effort.
Scott Chamberlain On Tuesday, February 22, 2011 at 2:26 AM, Jari Oksanen wrote: Vanessa Francisco <vanewagen <at> gmail.com> writes: > > > > > Hello! I'm a PhD student working with coral reef fish diversity in Mexico. > > I want to do species accumulation curves but I have differential sampling > > effort for each "sample". > > Do you know or have developed an R script that consider the differential > > effort of each sample? > > PRIMER and other programs use each pack of species as a replica without the > > possibility of telling the program that the first group of species (sample) > > was collected during a 30 minutes dive and the second group (sample) was > > taking after 60 minutes dive and so on. > > I would really appreciate any kind of help! > > Vanessa, > > I speak only for the vegan package: I don't know if there is solution > elsewhere > in R. I can certainly say that this cannot be done in vegan. However, it > seems > like this could be "easily" implemented in some accumulation methods, but > not with all. Is this weighted SAC published somewhere? If I "re-invent" it, > I'd > like to see what others have done. How keenly and urgently you need this? > This will require a bit work since the structure of function needs changes > although the idea is simple, and I'd like to know if that work is of any use > to > anyone before starting. Of course, if this already is in R, I won't do this. > > Cheers, Jari Oksanen > > ______________________________________________ > 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. > [[alternative HTML version deleted]] ______________________________________________ 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.
