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bootstrap data to get the inp (or other format) file

PostPosted: Wed Mar 13, 2013 9:42 am
by simone77
Hi all,

I am using the same data set with different events specification to run two different analyses: the first one aims to get estimates of the apparent survival and the second one to get estimates of true survival.

Both analyses are done in E-SURGE because one of them is a multi-event with uncertainty on sex assignment.

I am interested to estimate the (permanent) emigration rate and for that aim I am going to use the formula firstly proposed by Burnham (1993)* , and implemented also by Schaub & Hirschheydt (2009)*:

Ei=1-(Phii/Si)

To estimate the SE of these estimates I am going to repeat several times this process:
1) bootstrap data
2) on this data run the model for estimating the apparent survival, run the model for estimating the true survival
3) compute Eij (where j refers to iteration number of the process)

At the end of the process the SE of Ei would be directly computed from its distribution.

Question:
Do you know a way to get the bootstrap data file?

By the way I can set up the original data set in whatever format would be needed. Remarkably, the original data set is set up according to a lot of groups (42!) depending on cohort, gender status (female, male, and unknown) and their interactions.

Thank you for any help


*Burnham, K. P. (1993). A theory for combined analysis of ring recovery and recapture data. In ‘Marked Individuals in the Study of Bird Population’.(Eds JD Lebreton and PM North.) pp. 199–213.
**Schaub, M., & Von Hirschheydt, J. (2009). Effect of current reproduction on apparent survival, breeding dispersal, and future reproduction in barn swallows assessed by multistate capture-recapture models. The Journal of animal ecology, 78(3), 625–35. doi:10.1111/j.1365-2656.2008.01508.x

Re: bootstrap data to get the inp (or other format) file

PostPosted: Thu Mar 14, 2013 8:16 am
by simone77
Hi,

If someone else might be interested in how to do it, here there is a possible solution to this by using R.