<div dir="ltr">Hi Yasir,<div><br></div><div>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. </div><div><br></div><div>Cheers, Tim</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Fri, Apr 1, 2016 at 4:35 PM, Yasir Kaheil [via R] <span dir="ltr"><<a href="/user/SendEmail.jtp?type=node&node=4719209&i=0" target="_top" rel="nofollow" link="external">[hidden email]</a>></span> wrote:<br><blockquote style='border-left:2px solid #CCCCCC;padding:0 1em' class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><span class="">
<p dir="ltr">Why don't you just simply read the CSV with read.csv instead of that function in the beginning?</p>
<br></span><div class="gmail_quote"><div><div class="h5"><div dir="ltr">Le ven. 1 avr. 2016 7:36 PM, TimvdStap <<a href="http:///user/SendEmail.jtp?type=node&node=4719208&i=0" rel="nofollow" link="external" target="_blank">[hidden email]</a>> a écrit :<br></div></div></div><blockquote style='border-left:2px solid #CCCCCC;padding:0 1em' style="border-left:2px solid #cccccc;padding:0 1em" class="gmail_quote"><div><div class="h5">Hi everyone,<br>
<br>
I'm working on estimating the population size of Risso's dolphins in the<br>
Azores using mark-recapture data, whereby I take transient individuals into<br>
account (i.e., I estimate a transience-corrected population size). For this,<br>
I use an R script, as used in Madon et al (2013) (see link to paper at<br>
bottom of this post). Though I feel I have managed to get the script<br>
running, for some reason the transience-corrected population size for my<br>
final year is far *higher* than the original population size. This is<br>
obviously not supposed to happen, but I am unsure as to whether the<br>
transience-corrected population size for my final year is wrong, or the<br>
initial population size.<br>
<br>
Attached I have a sample of my data as a .csv-file, and a word document with<br>
the R script (as it's too long to post here). Of course I have made some<br>
minor changes to the script to fit my data better. If anyone could have a<br>
look at the script, and possibly tell me where I am going wrong or what I'm<br>
missing, that would be great!!! I have been staring at the script for so<br>
long and trying to figure this one out, that I feel I'd miss even the most<br>
obvious of mistakes at the moment..<br>
<br>
Any help is greatly appreciated!!<br>
<br>
Kind regards,<br>
<br>
Tim<br>
<br>
<a href="http://onlinelibrary.wiley.com/doi/10.1111/j.1748-7692.2012.00610.x/abstract?userIsAuthenticated=false&deniedAccessCustomisedMessage=" rel="nofollow" link="external" target="_blank">http://onlinelibrary.wiley.com/doi/10.1111/j.1748-7692.2012.00610.x/abstract?userIsAuthenticated=false&deniedAccessCustomisedMessage=</a><br>
<br>
Risso_example.csv<br>
<<a href="http://r.789695.n4.nabble.com/file/n4719206/Risso_example.csv" rel="nofollow" link="external" target="_blank">http://r.789695.n4.nabble.com/file/n4719206/Risso_example.csv</a>><br>
Rscript_TvdS.docx<br>
<<a href="http://r.789695.n4.nabble.com/file/n4719206/Rscript_TvdS.docx" rel="nofollow" link="external" target="_blank">http://r.789695.n4.nabble.com/file/n4719206/Rscript_TvdS.docx</a>><br>
<br>
<br>
<br>
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Yasir Kaheil
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