Hi everyone, I'm working on estimating the population size of Risso's dolphins in the Azores using mark-recapture data, whereby I take transient individuals into account (i.e., I estimate a transience-corrected population size). For this, I use an R script, as used in Madon et al (2013) (see link to paper at bottom of this post). Though I feel I have managed to get the script running, for some reason the transience-corrected population size for my final year is far *higher* than the original population size. This is obviously not supposed to happen, but I am unsure as to whether the transience-corrected population size for my final year is wrong, or the initial population size.
Attached I have a sample of my data as a .csv-file, and a word document with the R script (as it's too long to post here). Of course I have made some minor changes to the script to fit my data better. If anyone could have a look at the script, and possibly tell me where I am going wrong or what I'm missing, that would be great!!! I have been staring at the script for so long and trying to figure this one out, that I feel I'd miss even the most obvious of mistakes at the moment.. Any help is greatly appreciated!! Kind regards, Tim http://onlinelibrary.wiley.com/doi/10.1111/j.1748-7692.2012.00610.x/abstract?userIsAuthenticated=false&deniedAccessCustomisedMessage= Risso_example.csv <http://r.789695.n4.nabble.com/file/n4719206/Risso_example.csv> Rscript_TvdS.docx <http://r.789695.n4.nabble.com/file/n4719206/Rscript_TvdS.docx> -- View this message in context: http://r.789695.n4.nabble.com/Correcting-for-transience-in-mark-recapture-data-with-R-tp4719206.html Sent from the datatable-help mailing list archive at Nabble.com. _______________________________________________ datatable-help mailing list [email protected] https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/datatable-help
