count: Extract Summaries

In secrdesign: Sampling Design for Spatially Explicit Capture-Recapture

Extract Summaries

Description

Reshape results from run.scenarios(..., extractfn = summary) so that they may be passed to the usual summary functions of secrdesign.

Usage

count(object, ...)

## S3 method for class 'summary'
predict(object, ...)
## S3 method for class 'summary'
coef(object, ...)
## S3 method for class 'summary'
count(object, ...)

Arguments

object	summary simulation output from run.scenarios
...	other arguments (not used)

Details

The aim is to extract numerical results from simulations performed using run.scenarios(..., extractfn = summary). The results may then be passed to the summary method for ‘secrdesign’ objects, possibly via select.stats (see Examples).

Value

An object of class c("estimatetables", "secrdesign", "list") in which the output component for each scenario is a list of dataframes, one per replicate. The structure of each dataframe is indicated in the following table (parameters may vary with model); ‘parameters’ and ‘statistics’ correspond to arguments of select.stats.

Function		Row(s)		Columns
		(parameters)		(statistics)
count		Number		Animals, Detections, Moves
coef		D, g0, sigma		estimate, SE.estimate, lcl, ucl
predict		D, g0, sigma		estimate, SE.estimate, lcl, ucl

See Also

predict.secr, coef.secr,

Examples

## generate some simulations
scen1 <- make.scenarios(D = c(5,10), sigma = 25, g0 = 0.2)
traps1 <- make.grid(6, 6, spacing = 25)
sims1 <- run.scenarios(nrepl = 2, trapset = traps1, scenarios =
     scen1, seed = 345, fit = TRUE, extractfn = summary)

## view the results
count(sims1)$output
predict(sims1)$output

summary(sims1)  ## header only

summary(count(sims1))   # equivalent to following
summary(select.stats(count(sims1), parameter = 'Number'))  

summary(predict(sims1)) # default select.stats parameter = 'D'
summary(select.stats(predict(sims1), parameter = 'sigma')  )

secrdesign documentation built on March 31, 2023, 10:25 p.m.