secr (version 2.5.0)

summary.capthist: Summarise Detections

Description

Concise description of capthist object.

Usage

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

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

counts(CHlist, counts = "M(t+1)")

Arguments

object

capthist object

terse

logical; provide only summary counts for multi-session 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

• From summary.capthist, an object of class summary.capthist, a list with at least these components
• detector
  detector type ("single", "multi", "proximity" etc.)
• ndetector
  number of detectors
• xrange
  range of x coordinates of detectors
• yrange
  range of y coordinates of detectors
• spacing
  mean distance from each trap to nearest other trap
• counts
  matrix of summary counts (rows) by occasion (columns). See Details.
• dbar
  mean recapture distance
• RPSV
  root pooled spatial variance
• or, when terse = TRUE and object contains multiple sessions, a dataframe of counts per session.

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

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