Computes the extrapolated species richness of a population using first- or second-order jacknife stimators
a vector, matrix or data frame of positive integers or zero of any size
whether each row of the matrix is a different taxon; if so, value is set to TRUE
If true, data is assumed to be abundance, if false, presence absence is assumed
These functions compute the first and second-order jacknife species richness
estimators, respectively. Both functions will accept a vector, matrix or data
frame of any size made up of positive integers and zeros. Matrices are by
default treated such that each row is a different taxon and each column is a
sample or locality, however if they are arranged with the taxa as columns,
change the argument
taxa.row to FALSE. If the data is abundance based,
abund should be set to TRUE. If
abund is set to FALSE, the data
will be converted to presence/absence if not already in that format. For
abund are ignored.
The value returned is the Jackknife estimated species diversity of the dataset in question.
Burnham, K.P. & W.S. Overton. 1978. Estimation of the size of a closed population when capture probabilities vary among animals. Biometrika 65, 623-633.
Burnham, K.P. & W.S. Overton. 1979. Robust estimation of population size when capture probabilities vary among animals. Ecology 60, 927-936.
Heltshe, J. & Forrester, N.E. 1983 . Estimating species richness using the jackknife procedure. Biometrics 39, 1-11.
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