Produces a plot of the simulated relative accuracy of a mark-recapture abundance estimator for various sample sizes. This may be a better representation of the sample size - accuracy relationship than that provided by n2RR.
plotn2sim(
N,
n1,
conf = c(0.99, 0.95, 0.85, 0.8, 0.75),
n2range = NULL,
n2step = NULL,
estimator = "Chapman",
nsim = 10000,
accrange = 1,
...
)The best guess at true abundance
The size of the first (or second) sampling event
A vector of the desired levels of confidence to investigate.
Allowed values are any of c(0.99,0.95,0.85,0.8,0.75). Defaults to
all of c(0.99,0.95,0.85,0.8,0.75).
A two-element vector describing the range of sample sizes to
investigate. If the default (NULL) is accepted, an appropriate
value will be chosen.
The step size between sample sizes to investigate. If the
default (NULL) is accepted, an appropriate value will be chosen.
The abundance estimator to use. Allowed values are
"Chapman", "Petersen", and "Bailey". Defaults to
"Chapman".
The number of replicates. Defaults to 10000.
The maximum level of relative accuracy for plotting. Defaults to 1.
Additional plotting parameters
# NOT RUN {
plotn2sim(N=1000, n1=100)
# }
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