Re: [datatable-help] Correcting for transience in mark-recapture data with R

Hi everyone, Small update: I think the (main) problem is with estimation of M (= total # of marked individuals). By definition, M in year /t/ should always be equal or greater than the M in year /t-1/, and for the final year M should be /total number of rows in the dataset/, right? However, the

Re: [datatable-help] Correcting for transience in mark-recapture data with R

Hi Yasir, For now, I am trying to run the script as identical as possible as the way Madon and her colleagues ran it in her paper. When I removed the function(data=data) it did not change anything to the results, hence why I just left it as it is. Cheers, Tim On Fri, Apr 1, 2016 at 4:35 PM,

Re: [datatable-help] Correcting for transience in mark-recapture data with R

Why don't you just simply read the CSV with read.csv instead of that function in the beginning? Le ven. 1 avr. 2016 7:36 PM, TimvdStap a écrit : > Hi everyone, > > I'm working on estimating the population size of Risso's dolphins in the > Azores using mark-recapture

[datatable-help] Correcting for transience in mark-recapture data with R

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