Calculate the components of a species discovery curve.
discovery.curve(
f,
f0.func,
max.x = sum(f * 1:length(f)),
n.pts = 100,
ci = 0.95,
plot = TRUE,
...
)a list with:
a named vector from f0.func.
a data.frame defining the rarefaction and
extrapolation curves (specified in the section column), and columns
providing the lower (lci) and upper (uci).
a vector of species frequencies where f[i] is the number of
species represented by only i samples.
function to use to calculate f0.
the maximum number of samples to calculate the curve for.
Defaults to the sample size of f.
number of points between 0 and max.x to estimate.
size of the confidence interval (0.5:1).
plot the curve?
other arguments to f0.func.
Eric Archer eric.archer@noaa.gov
Colwell, R.K., A. Chao, N.J. Gotelli, S.-Y. Lin, C.X. Mao, R.L. Chazdon, and J.T. Longino. 2012. Models and estimators linking individual-based and sample-based rarefaction, extrapolation and comparison of assemblages. Journal of Plant Ecology 5(1):3-21.
data(osa.old.growth)
f <- expand.freqs(osa.old.growth)
d <- discovery.curve(f, f0.func = Chao1, max.x = 1200)
print(str(d))
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