Description Usage Arguments Details Value See Also Examples
The function filters out all the unobserved information from a ‘sample.rm’ object, leaving only the observed data. It is useful when creating ‘sample.rm’ objects for exercises – when you don't want those doing the exercises to be able to see the whole population.
1 |
sample |
sample object of class ‘sample.rm’ |
This function removes from the ‘sample.ce’ object all data relating to animals and groups that were not detected – those for which ‘(sample$detected!=T | !is.na(sample$detected))’.
obscure.sample.rm
returns an object of class 'sample.rm´ which has the following elements:
population |
object of class 'population´. |
design |
object of class 'design.rm´. |
removal |
two dimensional detection matrix that indicates which animal groups have been captured on which occasion. A |
detected |
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.rm
, setpars.survey.rm
summary.sample.rm
, plot.sample.rm
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | 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)
rm.des <- generate.design.rm(reg, n.occ = 4, effort = c(4,5,6,7))
rm.survpars<-setpars.survey.rm(pop = pop, des = rm.des, pmin=0.03, pmax=0.95, improvement = 0.1)
rm.samp<-generate.sample.rm(rm.survpars)
# now strip the unobserved data out of the sample.ce object:
obs.rm.samp<-obscure.sample.rm(rm.samp)
# (Note: `obs.samp<-obscure(rm.samp)' has the same effect.)
plot(obs.rm.samp)
# (Note: the plot will only contain observations, so 'whole.population=T' has no effect)
summary(obs.rm.samp)
# (Note:... although the summary will be the same, as it only contains observations)
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