index_brillouin | R Documentation |
Brillouin Diversity Index.
index_brillouin(x, ...)
## S4 method for signature 'numeric'
index_brillouin(x, evenness = FALSE, na.rm = FALSE, ...)
x |
A |
... |
Currently not used. |
evenness |
A |
na.rm |
A |
The Brillouin index describes a known collection: it does not assume random sampling in an infinite population. Pielou (1975) and Laxton (1978) argues for the use of the Brillouin index in all circumstances, especially in preference to the Shannon index.
A numeric
vector.
Ramanujan approximation is used for x!
computation if x > 170
.
N. Frerebeau
Brillouin, L. (1956). Science and information theory. New York: Academic Press.
Laxton, R. R. (1978). The measure of diversity. Journal of Theoretical Biology, 70(1), 51-67. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/0022-5193(78)90302-8")}.
Pielou, E. C. (1975). Ecological Diversity. New York: Wiley. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.4319/lo.1977.22.1.0174b")}
Other alpha diversity measures:
index_ace()
,
index_baxter()
,
index_berger()
,
index_boone()
,
index_chao1()
,
index_chao2()
,
index_hurlbert()
,
index_ice()
,
index_margalef()
,
index_mcintosh()
,
index_menhinick()
,
index_shannon()
,
index_simpson()
,
index_squares()
,
observed()
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