Description Usage Arguments Details Value Author(s) References See Also Examples

Computes the extrapolated species richness of a population using first- or second-order jacknife stimators

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`x` |
a vector, matrix or data frame of positive integers or zero of any size |

`taxa.row` |
whether each row of the matrix is a different taxon; if so, value is set to TRUE |

`abund` |
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
single vectors/columns, `taxa.row`

and `abund`

are ignored.

The value returned is the Jackknife estimated species diversity of the dataset in question.

Matthew Vavrek

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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