index_brillouin {tabula} | R Documentation |
Brillouin Diversity Index.
Description
Brillouin Diversity Index.
Usage
index_brillouin(x, ...)
## S4 method for signature 'numeric'
index_brillouin(x, evenness = FALSE, na.rm = FALSE, ...)
Arguments
x |
A |
... |
Currently not used. |
evenness |
A |
na.rm |
A |
Details
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.
Value
A numeric
vector.
Note
Ramanujan approximation is used for x!
computation if x > 170
.
Author(s)
N. Frerebeau
References
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. doi:10.1016/0022-5193(78)90302-8.
Pielou, E. C. (1975). Ecological Diversity. New York: Wiley. doi:10.4319/lo.1977.22.1.0174b
See Also
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()