index_boone: Boone Heterogeneity Measure

In tabula: Analysis and Visualization of Archaeological Count Data

Boone Heterogeneity Measure

Description

Boone Heterogeneity Measure

Usage

index_boone(x, ...)

## S4 method for signature 'matrix'
index_boone(x, j = NULL, na.rm = FALSE, ...)

Arguments

x	A m \times p numeric matrix of count data (absolute frequencies, i.e. a contingency table).
...	Currently not used.
j	An integer giving the index of the reference type/taxa. If NULL (the default), the most frequent type/taxa in any assemblage will be used.
na.rm	A numeric scalar: should missing values (including NaN) be removed?

Value

A numeric vector.

Author(s)

N. Frerebeau

References

Boone, J. L. (1987). Defining and Measuring Midden Catchment. American Antiquity, 52(2), 336-45. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2307/281785")}.

Kintigh, K. W. (1989). Sample Size, Significance, and Measures of Diversity. In Leonard, R. D. and Jones, G. T., Quantifying Diversity in Archaeology. New Directions in Archaeology. Cambridge: Cambridge University Press, p. 25-36.

See Also

Other alpha diversity measures: index_ace(), index_baxter(), index_berger(), 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.