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secr (version 5.0.0)

rbind.traps: Combine traps Objects

Description

Form a single traps object from two or more existing traps objects.

Usage

# S3 method for traps
rbind(..., renumber = TRUE, addusage, checkdetector = TRUE, suffix = TRUE)

Value

An object of class traps with number of rows equal to the sum of the rows in the input objects.

Arguments

...

one or more traps objects

renumber

logical for whether row names in the new object should be set to the row indices

addusage

integer vector; if specified and the inputs lack usage attributes then a binary usage attribute will be generated with the given number of occasions for each input

checkdetector

logical; if TRUE then variation in the detector attribute triggers a warning

suffix

logical; if TRUE then suffix to the row names indicates source

Details

An attempt to combine objects will fail if they conflict in their covariates attributes. Differences in the usage attribute are handled as follows. If usage is missing for all inputs and addusage = TRUE is specified then usage codes are generated automatically (positive for the specified number of occasions). If usage is specified for one input but not other(s), the missing values are constructed assuming all detectors were operated for the maximum number of occasions in any input. If inputs differ in the number of `usage' columns (occasions), the smaller matrices are padded with `zero' columns to the maximum number of columns in any input.

... may be a single multi-session traps object (from 2.10.0).

By default (and always prior to 3.1.1) row names include a suffix (e.g., ".1", or ".2") to indicate the original object (first, second etc.). A suffix is added automatically to all names if any name is duplicated, and a warning is generated.

See Also

traps, subset.traps

Examples

Run this code

## nested hollow grids
hollow1 <- make.grid(nx = 8, ny = 8, hollow = TRUE)
hollow2 <- shift(make.grid(nx = 6, ny = 6, hollow = TRUE), 
    c(20, 20))
nested <- rbind (hollow1, hollow2)
plot(nested, gridlines = FALSE, label = TRUE)

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