heterogeneity | R Documentation |
Computes an heterogeneity or a dominance index.
heterogeneity(object, ...)
## S4 method for signature 'matrix'
heterogeneity(
object,
...,
method = c("shannon", "simpson", "berger", "boone", "brillouin", "mcintosh")
)
## S4 method for signature 'data.frame'
heterogeneity(
object,
...,
method = c("shannon", "simpson", "berger", "boone", "brillouin", "mcintosh")
)
object |
A |
... |
Further arguments to be passed to internal methods (see below). |
method |
A |
The following heterogeneity index are available (see Magurran 1988 for details):
berger
Berger-Parker dominance index.
boone
Boone heterogeneity measure.
brillouin
Brillouin diversity index.
mcintosh
McIntosh dominance index.
shannon
Shannon-Wiener diversity index.
simpson
Simpson dominance index.
The berger
, mcintosh
and simpson
methods return a dominance index,
not the reciprocal or inverse form usually adopted, so that an increase in
the value of the index accompanies a decrease in diversity.
An HeterogeneityIndex object.
N. Frerebeau
Magurran, A. E. (1988). Ecological Diversity and its Measurement. Princeton, NJ: Princeton University Press. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-94-015-7358-0")}.
index_berger()
, index_boone()
, index_brillouin()
,
index_mcintosh()
, index_shannon()
, index_simpson()
Other diversity measures:
diversity()
,
evenness()
,
occurrence()
,
plot.DiversityIndex()
,
plot.RarefactionIndex()
,
profiles()
,
rarefaction()
,
richness()
,
she()
,
similarity()
,
simulate()
,
turnover()
## Data from Conkey 1980, Kintigh 1989
data("cantabria")
## Alpha diversity
diversity(cantabria)
## Shannon diversity index
(h <- heterogeneity(cantabria, method = "shannon"))
(e <- evenness(cantabria, method = "shannon"))
as.data.frame(h)
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