index_mcintosh: McIntosh Dominance Index.

In tabula: Analysis and Visualization of Archaeological Count Data

McIntosh Dominance Index.

Description

McIntosh Dominance Index.

Usage

index_mcintosh(x, ...)

## S4 method for signature 'numeric'
index_mcintosh(x, evenness = FALSE, na.rm = FALSE, ...)

Arguments

x	A numeric vector of count data (absolute frequencies).
...	Currently not used.
evenness	A numeric scalar: should evenness be computed?
na.rm	A numeric scalar: should missing values (including NaN) be removed?

Details

The McIntosh index expresses the heterogeneity of a sample in geometric terms. It describes the sample as a point of a S-dimensional hypervolume and uses the Euclidean distance of this point from the origin.

This is a dominance index, so that an increase in the value of the index accompanies a decrease in diversity.

Value

A numeric vector.

Author(s)

N. Frerebeau

References

McIntosh, R. P. (1967). An Index of Diversity and the Relation of Certain Concepts to Diversity. Ecology, 48(3), 392-404. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2307/1932674")}.

See Also

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

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