reduce.capthist: Combine Occasions

Description

Combine columns (occasions) in a capthist object to create a new data set, possibly converting between detector types

Usage

## S3 method for class 'capthist':
reduce(object, columns = NULL, outputdetector = 
    detector(traps(object)), select='last', dropunused = TRUE,
    verify = TRUE, sessions = NULL, ...)

Arguments

object

capthist object

columns

list in which each component is a vector of subscripts for occasions to be pooled

outputdetector

character value giving detector type for output

select

character value for method to resolve conflicts

dropunused

logical, if TRUE any never-used detectors are dropped

verify

logical, if TRUE the verify function is applied to the output

sessions

vector of session indices or names (optional)

...

other arguments (not used currently)

Value

An object of class capthist with number of columns equal to length(occasions). The detector type is inherited from object unless a new type is specified with the argument outputdetector.

Details

The first component of columns defines the columns of object for new occasion 1, the second for new occasion 2, etc. If columns is NULL then all occasions are output. When the output detector is one of the trap types ('single', 'multi'), reducing capture occasions can result in locational ambiguity for individuals caught on more than one occasion, and for single-catch traps there may also be conflicts between individuals at the same trap. The method for resolving conflicts among 'multi' detectors is determined by select which should be one of 'first', 'last' or 'random'. With 'single' detectors select is ignored and the method is: first, randomly select* one trap per animal per day; second, randomly select* one animal per trap per day; third, when collapsing multiple days use the first capture, if any, in each trap. With signal detectors, select determines how multiple signal measurements are combined; options 'min', 'max' or 'mean' are also allowed. Usage data in the traps attribute are also pooled if present; a trap is considered 'used' on a pooled occasion if it was used on any contributing occasion. * i.e., in the case of a single capture, use that capture; in the case of multiple 'competing' captures draw one at random.

Examples

Run this code

tempcapt <- sim.capthist (make.grid(nx = 6, ny = 6), nocc = 6)
class(tempcapt)

pooled.tempcapt <- reduce(tempcapt, col = list(1,2:3,4:6))
summary (pooled.tempcapt)