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secr (version 1.3.0)

summary.capthist: Summarise Detections

Description

Concise description of capthist object.

Usage

## S3 method for class 'capthist':
summary(object, ...)

## S3 method for class 'summary.capthist':
print(x, ...)

counts(CHlist, counts = 'M(t+1)')

Arguments

object
capthist object
x
summary.capthist object
...
arguments passed to other functions
CHlist
capthist object, especially a multi-session object
counts
character vector of count names

Value

  • An object of class summary.capthist, a list with at least these components
  • detectordetector type in {'single', 'multi', 'proximity'}
  • ndetectornumber of detectors
  • xrangerange of x coordinates of detectors
  • yrangerange of y coordinates of detectors
  • spacingmean distance from each trap to nearest other trap
  • countsmatrix of summary counts (rows) by occasion (columns). See Details.
  • dbarmean recapture distance
  • RPSVroot pooled spatial variance

Details

These counts are reported by summary.capthist ll{ n number of individuals detected on each occasion u number of individuals detected for the first time on each occasion f number of individuals detected exactly f times M(t+1) cumulative number of individuals detected losses number of individuals reported as not released on each occasion detections number of detections, including within-occasion 'recaptures' traps visited number of detectors at which at least one detection was recorded traps set number of detectors, excluding any `not set' in usage attribute of traps attribute } counts may be used to return the specified counts in a compact session x occasion table. If more than one count is named then a list is returned with one component for each type of count.

See Also

dbar, RPSV, capthist

Examples

Run this code
temptrap <- make.grid(nx = 5, ny = 3)
summary(sim.capthist(temptrap))
summary(sim.capthist(temptrap))$counts['n',]

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