Description Usage Arguments Value Note Author(s) References See Also Examples
Calculates minimum sample size for one sampling event in a Petersen mark-recapture experiment, given the sample size in the other event and an best guess at true abundance.
1 2 3 4 5 6 |
N |
The best guess at true abundance |
n1 |
The size of the first (or second) sampling event |
conf |
A vector of the desired levels of confidence to investigate.
Allowed values are any of |
acc |
A vector of the desired levels of relative accuracy to
investigate. Allowed values are any of
|
A list of minimum sample sizes. Each list element corresponds to a unique level of confidence, and is defined as a data frame with each row corresponding to a unique value of relative accuracy. Two minimum sample sizes are given: one calculated from the sample size provided for the other event, and the other calculated under n1=n2, the most efficient scenario.
Any Petersen-type estimator (such as this) depends on a set of assumptions:
The population is closed; that is, that there are no births, deaths, immigration, or emigration between sampling events
All individuals have the same probability of capture in one of the two events, or complete mixing occurs between events
Marking in the first event does not affect probability of recapture in the second event
Individuals do not lose marks between events
All marks will be reported in the second event
It is possible that the sample size - accuracy relationship will be better illustrated using plotn2sim.
Matt Tyers
Robson, D. S., and H. A. Regier. 1964. Sample size in Petersen mark-recapture experiments. Transactions of the American FisheriesSociety 93:215-226.
plotn2sim, plotn1n2simmatrix
1 | n2RR(N=1000, n1=100)
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