Description Usage Arguments Details Value See Also Examples
The function filters out all the unobserved information from a ‘sample.cr’ object, leaving only the observed data. It is useful when creating ‘sample.cr’ objects for exercises – when you don't want those doing the exercises to be able to see the whole population.
1 | obscure(sample)
|
sample |
Mark-recapture sample object (of class ‘sample.cr’). |
This function removes from the ‘sample.cr’ object all data relating to animals and groups that were not detected – those for which ‘(sample$detected!=T | !is.na(sample$detected))’.
obscure.sample.ce
returns an object of class 'sample.ce´ which has the following elements:
population |
object of class 'population´. |
design |
object of class 'design.ce´. |
capture |
two dimensional detection matrix that indicates which animal groups have been captured on which occasion. A |
parents |
Details of WiSP objects passed to function |
created |
Creation date and time |
generate.sample.cr
, setpars.survey.cr
,
summary.sample.cr
, plot.sample.cr
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | reg<-generate.region(x.length = 50, y.width = 80)
den <- generate.density(reg)
pop.pars<-setpars.population(reg, density.pop = den, number.groups = 100, size.method = "poisson",
size.min = 1, size.max = 5, size.mean = 1, exposure.method = "beta",
exposure.min = 2, exposure.max = 10, exposure.mean = 6,
exposure.shape = 1)
pop<-generate.population(pop.pars)
cr.des<-generate.design.cr(reg, n.occ = 5)
cr.survpars<-setpars.survey.cr(pop, cr.des, pmin.unmarked = 0.01, pmax.unmarked = 0.03,
pmin.marked = 0.005, pmax.marked = 0.008, improvement = 0.06)
cr.samp<-generate.sample.cr(cr.survpars)
# now strip the unobserved data out of the sample.cr object:
obs.cr.samp<-obscure(cr.samp)
# (Note: `obs.cr.samp<-obscure.sample.cr(cr.samp)' has the same effect.)
plot(obs.cr.samp,whole.population=T)
# note that `whole.population=T' has no effect - because all unobserved data is gone
summary(obs.cr.samp)
# ... but the summary is the same - because summary involves only the observed data
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