Clone rows of an object a constant or random number of times
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character 'constant', 'poisson' or 'nbinom'
other arguments for distribution function
The ... argument specifies the number of times each row should be
repeated. For random distributions (Poisson or negative binomial) ...
provides the required parameter values:
lambda for Poisson,
size, prob or
size, mu for negative binomial.
One application is to derive a population of cues from a popn object, where each animal in the original popn generates a number of cues from the same point.
Cloning a capthist object replicates whole detection
histories. Individual covariates and detection-specific attributes
(e.g., signal strength or xy location in polygon) are also
replicated. Cloned data from single-catch traps will cause verify() to
fail, but a model may still be fitted in
secr.fit by overriding
the check with
verify = FALSE.
Object of same class as
object but with varying number of
capthist an attribute ‘freq’ is
set, a vector of length equal to the original number of rows giving the
number of repeats (including zeros).
capthist is a multi-session object the returned value will be
a multi-session object of the same length.
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## population of animals at 1 / hectare generates random ## Poisson number of cues, lambda = 5 mics4 <- make.grid( nx = 2, ny = 2, spacing = 44, detector = "signal") pop <- sim.popn (D = 1, core = mics4, buffer = 300, nsessions = 66) pop <- clone (pop, "poisson", 5) attr(pop[],"freq") clone(captdata, "poisson", 3)