addSightings | R Documentation |
Add sighting data on unmarked individuals and/or unidentified marked individuals to an existing capthist object.
addSightings(capthist, unmarked = NULL, nonID = NULL, uncertain = NULL, verify = TRUE,
...)
capthist |
secr capthist object |
unmarked |
matrix or list of matrices of sightings of unmarked animals, Tu, or file name (see Details) |
nonID |
matrix or list of matrices of unidentified sightings of marked animals, Tm, or file name (see Details) |
uncertain |
matrix or list of matrices of uncertain sightings, Tn, or file name (see Details) |
verify |
logical; if TRUE then the resulting capthist object is
checked with |
... |
other arguments passed to |
The capthist object for mark-resight analysis comprises distinct marking and sighting occasions, defined in the markocc attribute of traps(capthist)
. Add this attribute to traps(capthist)
with markocc
before using 'addSightings'. See also read.traps
and read.capthist
.
Mark-resight data may be binary (detector type ‘proximity’) or counts (detector types ‘count’, 'polygon' or 'transect'). The detector type is an attribute of traps(capthist)
. Values in unmarked
and nonID
should be whole numbers, and may be greater than 1 even for binary proximity detectors because multiple animals may be detected simultaneously at one place.
Arguments unmarked
, nonID
, uncertain
provide data for attributes
‘Tu’, ‘Tm’, ‘Tn’ respectively. They may take several forms
a single integer, the sum of all counts*
a matrix of the count on each occasion at each detector (dimensions K x S, where K is the number of detectors and S is the total number of occasions). Columns corresponding to marking occasions should be all-zero.
for multi-session data, a list with components as above
a character value with the name of a text file containing the data; the file will be read with read.table
. The ... argument allows some control over how the file is read. The data format comprises at least S+1 columns. The first is a session identifier used to split the file when the data span multiple sessions; it should be constant for a single-session capthist. The remaining S columns contain the counts for occasions 1:S, one row per detector. Further columns may be present; they are ignored at present.
* although this is convenient, the full matrix of counts provides more flexibility (e.g., when you wish to subset by occasion), and enables modelling of variation across detectors and occasions.
A capthist object with the same structure as the input, but with new sighting-related attributes Tu (sightings of unmarked animals) and/or Tm (unidentified sightings of marked animals). Input values, including NULL, overwrite existing values.
** Mark-resight data formats and models are experimental and subject to change **
markocc
,
read.capthist
,
read.traps
,
sim.resight
,
Tm
,
Tu
,
Tn
,
secr-markresight.pdf
## construct capthist object MRCH from text files provided in
## 'extdata' folder, assigning attribute 'markocc' and add unmarked
## and marked sightings from respective textfiles
datadir <- system.file("extdata", package = "secr")
captfile <- paste0(datadir, '/MRCHcapt.txt')
trapfile <- paste0(datadir, '/MRCHtrap.txt')
Tufile <- paste0(datadir, '/Tu.txt')
Tmfile <- paste0(datadir, '/Tm.txt')
MRCH <- read.capthist(captfile, trapfile, detector = c("multi",
rep("proximity",4)), markocc = c(1,0,0,0,0))
MRCH1 <- addSightings(MRCH, Tufile, Tmfile)
## alternatively (ignoring marked, not ID sightings)
MRCH <- read.capthist(captfile, trapfile, detector = c("multi",
rep("proximity",4)), markocc = c(1,0,0,0,0))
Tu <- read.table(Tufile)[,-1] # drop session column
MRCH2 <- addSightings(MRCH, unmarked = Tu)
summary(MRCH2)
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