Learn R Programming

secr (version 2.5.0)

BUGS: Convert Data To Or From BUGS Format

Description

Convert data between `capthist' and BUGS input format.

Usage

read.DA(DAlist, detector = "polygonX", units = 1, session = 1,
    Y = "Y", xcoord = "U1", ycoord = "U2", xmin = "Xl",
    xmax = "Xu", ymin = "Yl", ymax = "Yu", buffer = "delta",
    verify = TRUE)

write.DA(capthist, buffer, nzeros = 200, units = 1)

Arguments

DAlist
list containing data in BUGS format
detector
character value for detector type: `polygon' or `polygonX'
units
numeric for scaling output coordinates
session
numeric or character label used in output
Y
character, name of binary detection history matrix (animals x occasions)
xcoord
character, name of matrix of x-coordinates for each detection in Y
ycoord
character, name of matrix of y-coordinates for each detection in Y
xmin
character, name of coordinate of state space boundary
xmax
character, name of coordinate of state space boundary
ymin
character, name of coordinate of state space boundary
ymax
character, name of coordinate of state space boundary
buffer
see Details
verify
logical if TRUE then the resulting capthist object is checked with verify
capthist
capthist object
nzeros
level of data augmentation (all-zero detection histories)

Value

  • For read.DA, an object of class `capthist'. For write.DA, a list with the components lll{ Xl left edge of state space Xu right edge of state space Yl bottom edge of state space Yu top edge of state space delta buffer between edge of state space and quadrat nind number of animals observed nzeros number of added all-zero detection histories T number of sampling occasions Y binary matrix of detection histories (dim = c(nind+nzeros, T)) U1 matrix of x-coordinates, dimensioned as Y U2 matrix of y-coordinates, dimensioned as Y } U1 and U2 are `NA' where animal was not detected.

Details

Data for OpenBUGS or WinBUGS called from R using the package R2WinBUGS (Sturtz et al. 2005) take the form of an Rlist. These functions are limited at present to binary data from a square quadrat such as used by Royle and Young (2008). Marques et al. (2011) provide an Rfunction create.data() for generating simulated datasets of this sort (see sim.capthist for equivalent functionality). When reading BUGS data -- The character values Y, xcoord, ycoord, xmin etc. are used to locate the data within DAlist, allowing for variation in the input names. The number of sampling occasions is taken from the number of columns in Y. Each value in Y should be 0 or 1. Coordinates may be missing A numeric value for buffer is the distance (in the original units) by which the limits Xl, Xu etc. should be shrunk to give the actual plot limits. If buffer is character then a component of DAlist contains the required numeric value. Coordinates in the output will be multiplied by the scalar units. Augmentation rows corresponding to `all-zero' detection histories in Y, xcoord, and ycoord are discarded. When writing BUGS data -- Null (all-zero) detection histories are added to the matrix of detection histories Y, and missing (NA) rows are added to the coordinate matrices xcoord and ycoord. Coordinates in the output will be divided by the scalar units.

References

Marques, T. A., Thomas, L. and Royle, J. A. (2011) A hierarchical model for spatial capture--recapture data: Comment. Ecology 92, 526--528. Royle, J. A. and Young, K. V. (2008) A hierarchical model for spatial capture--recapture data. Ecology 89, 2281--2289. Sturtz, S., Ligges, U. and Gelman, A. (2005) R2WinBUGS: a package for running WinBUGS from R. Journal of Statistical Software 12, 1--16.

See Also

hornedlizardCH, verify, capthist

Examples

Run this code
write.DA (hornedlizardCH, buffer = 100, units = 100)

## In this example, the input uses Xl, Xu etc.
## for the limits of the plot itself, so buffer = 0.
## Input is in hundreds of metres.
## First, obtain the list lzdata
olddir <- setwd (system.file("extdata", package="secr"))
source ("lizarddata.R")
str(lzdata)
## Now convert to capthist
tempcapt <- read.DA(lzdata, Y = "H", xcoord = "X",
    ycoord = "Y", buffer = 0, units = 100)
summary(tempcapt)
setwd(olddir)

plot(tempcapt)
secr.fit(tempcapt)
## etc.

Run the code above in your browser using DataLab