Concise description of capthist object.
# S3 method for capthist
summary(object, terse = FALSE, ...)# S3 method for summary.capthist
print(x, ...)
counts(CHlist, counts = "M(t+1)")
capthist object
logical; if TRUE return only summary counts
summary.capthist object
arguments passed to other functions
capthist object, especially a multi-session object
character vector of count names
From summary.capthist, an object of class
summary.capthist, a list with at least these components
detector type ("single", "multi", "proximity" etc.)
number of detectors
range of x coordinates of detectors
range of y coordinates of detectors
mean distance from each trap to nearest other trap
matrix of summary counts (rows) by occasion (columns). See Details.
mean recapture distance
root pooled spatial variance
or, when terse = TRUE, a vector (single session) or dataframe (multiple sessions) of counts (Occasions, Detections, Animals, Detectors).
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 |
The last two rows are dropped if the data are nonspatial (object has no 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.
# NOT RUN {
temptrap <- make.grid(nx = 5, ny = 3)
summary(sim.capthist(temptrap))
summary(sim.capthist(temptrap))$counts["n",]
# }
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