Replicate Rows
Clone rows of an object a constant or random number of times
## Default S3 method: clone(object, type, ...) ## S3 method for class 'popn' clone(object, type, ...) ## S3 method for class 'capthist' clone(object, type, ...)
object |
any object |
type |
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
rows. For clone.popn and capthist an attribute ‘freq’ is
set, a vector of length equal to the original number of rows giving the
number of repeats (including zeros).
If popn or capthist is a multi-session object the returned value will be
a multi-session object of the same length.
## 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[[1]],"freq") clone(captdata, "poisson", 3)
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