secr (version 2.10.3)

summary.capthist: Summarise Detections

Description

Concise description of capthist object.

Usage

"summary"(object, terse = FALSE, ...)
"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

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",]