Example capture-recapture data from a study of European dippers.
data(dipper.data)A data frame containing 294 capture histories and the sex designation of birds captured. Capture indicators are either 0 = not captured, 1 = captured, or 2 = captured but died and not released back into the population. Columns in the data frame are:
h1a numeric vector indicating capture at occasion 1
h2a numeric vector indicating capture at occasion 2
h3a numeric vector indicating capture at occasion 3
h4a numeric vector indicating capture at occasion 4
h5a numeric vector indicating capture at occasion 5
h6a numeric vector indicating capture at occasion 6
h7a numeric vector indicating capture at occasion 7
malesa numeric vector indicating males. 1 = males, 0 = females
femalesa numeric vector indicating females. 0 = males, 1 = females
This is a popular capture-recapture example data set. It has been analyzed by Lebreton et al. (1992) Amstrup et al. (2005) and others.
dipper.males is a vector indicating male birds. I.e., dipper.males <- dipper.data\$males
dipper.histories is a matrix of just the capture history columns h1 - h7, extracted
from dipper.data and made into a matrix. This matrix can be fed directly into
one of the estimation routines, such as F.cjs.estim.
To access: After loading the MRA library (with library(mra)) you must
execute data(dipper.data), data(dipper.data), or data(dipper.males)
to get access to these data frames. They are not attached when the library is loaded.
# NOT RUN {
data(dipper.data)
# }
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