index_ace: Abundance-based Coverage Estimator

In tabula: Analysis and Visualization of Archaeological Count Data

Abundance-based Coverage Estimator

Description

Abundance-based Coverage Estimator

Usage

index_ace(x, ...)

## S4 method for signature 'numeric'
index_ace(x, k = 10, na.rm = FALSE, ...)

Arguments

x	A numeric vector of count data (absolute frequencies).
...	Currently not used.
k	A length-one numeric vector giving the threshold between rare/infrequent and abundant/frequent species.
na.rm	A numeric scalar: should missing values (including NaN) be removed?

Value

A numeric vector.

Author(s)

N. Frerebeau

References

Chao, A. & Lee, S.-M. (1992). Estimating the Number of Classes via Sample Coverage. Journal of the American Statistical Association, 87(417), 210-217. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/01621459.1992.10475194")}.

See Also

Other alpha diversity measures: index_baxter(), index_berger(), index_boone(), index_brillouin(), index_chao1(), index_chao2(), index_hurlbert(), index_ice(), index_margalef(), index_mcintosh(), index_menhinick(), index_shannon(), index_simpson(), index_squares(), observed()

tabula documentation built on April 4, 2025, 5:09 a.m.