Description Usage Arguments Details Value See Also Examples
The function filters out all the unobserved information from a ‘sample.dp’ object, leaving only the observed data. It is useful when creating sample.dp objects for exercises – when you don't want those doing the exercises to be able to see the whole population.
1 | obscure(samp)
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sample |
Double platform line transect sample object (of class ‘sample.dp’). |
This function removes from the ‘sample.dp’ object all data relating to animals and groups that were not detected – those for which ‘(sample$detected==T & !is.na(sample$detected))’.
obscure.sample.dp
returns an object of class 'sample.dp´ which has the following elements:
population |
object of class 'population´, but containing only data for observed members of the population. |
design |
object of class 'design.dp´. |
detected.observer1 |
vector indicating which animal groups have been detected by the first observer. |
detected.observer2 |
vector indicating which animal groups have been detected by the second observer. |
distance |
vector of perpendicular distances of detected animal groups inside the survey units from the respective transect paths. |
transect |
vector of transect path numbers of detected animal groups. |
generate.sample.dp
, setpars.survey.dp
point.sim.dp
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | reg<-generate.region(x.length = 50, y.width = 80)
dens <- generate.density(reg)
pop.pars<-setpars.population(reg, density.pop = dens, 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)
dp.des.pars<-setpars.design.dp(reg, n.transects = 3, n.units = 6, visual.range = 2, percent.on.effort = 0.6)
dp.des<-generate.design.dp(dp.des.pars)
dp.surv.pars<-setpars.survey.dp(pop = pop, des = dp.des, adjust.interactive = FALSE,
theta.obs1 = 0.7, theta.obs2 = 0.4, theta.exp = 0.2, theta.dist = -0.7)
dp.samp<-generate.sample.dp(dp.surv.pars)
# To view the complete sample object including all unobserved data:
dp.samp
# To view the stripped down sample object containing only the observed data:
summary(dp.samp)
dp.samp.obs<-obscure(dp.samp)
summary(dp.samp.obs)
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