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tabula (version 3.1.1)

index_boone: Boone Heterogeneity Measure

Description

Boone Heterogeneity Measure

Usage

index_boone(x, ...)

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

Value

A numeric vector.

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?

Author

N. Frerebeau

References

Boone, J. L. (1987). Defining and Measuring Midden Catchment. American Antiquity, 52(2), 336-45. 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()