Check SECR Data

Description

Check that the data and attributes of an object are internally consistent to avoid crashing functions such as secr.fit

Usage

## Default S3 method:
verify(object, report, ...)
## S3 method for class 'traps':
verify(object, report = 2, ...)
## S3 method for class 'capthist':
verify(object, report = 2, ...)
## S3 method for class 'mask':
verify(object, report = 2, ...)

Arguments

Details

Checks are performed specific to the class of 'object'. The default method is called when no specific method is available (i.e. class not 'traps', capthist' or 'mask'), and does not perform any checks.

verify.capthist

1. No 'traps' component
2. Invalid 'traps' component reported by verify.traps
3. No live detections
4. Missing values not allowed in capthist
5. Live detection(s) after reported dead
6. More than one capture in single-catch trap(s)
7. More than one detection per detector per occasion at proximity detector(s)
8. Number of rows in 'traps' object not compatible with reported detections
9. Number of rows in dataframe of individual covariates differs from capthist
10. Number of occasions in usage matrix differs from capthist
11. Detections at unused detectors

verify.traps

1. Missing detector coordinates not allowed
2. Number of rows in dataframe of detector covariates differs from expected
3. Number of detectors in usage matrix differs from expected
4. Occasions with no used detectors

verify.mask

1. Valid x and y coordinates
2. Number of rows in covariates dataframe differs from expected

Earlier errors may mask later errors: fix & re-run.

Value

A list with the component errors, a logical value indicating whether any errors were found. If object contains multi-session data then session-specific results are contained in a further list component bysession.
Full reporting is the same as 'errors only' except that a message is posted when no errors are found.

Author(s)

Murray Efford murray.efford@otago.ac.nz

See Also

capthist, secr.fit

Examples

data(captdata)
verify(captdata)

## create null (complete) usage matrix, and mess it up
temptraps <- make.grid()
usage(temptraps) <- matrix(1, nr = nrow(temptraps), nc = 5)
usage(temptraps)[,5] <- 0
verify (temptraps)

## create mask, and mess it up
tempmask <- make.mask(temptraps)
verify(tempmask)
tempmask[1,1] <- NA
verify(tempmask)