Co-Occurrence
Arguments
- object
A \(m \times p\)
numeric
matrix
ordata.frame
of count data (absolute frequencies giving the number of individuals for each category, i.e. a contingency table). Adata.frame
will be coerced to anumeric
matrix
viadata.matrix()
.- ...
Currently not used.
- method
A
character
string specifying the method to be used. It must be one of "absolute
", "relative
" or "binomial
" (see details). Any unambiguous substring can be given.
Value
A stats::dist object.
Details
absolute
Count how many times each pairs of types occur together in at least one sample (absolute frequencies).
relative
Count how many times each pairs of types occur together in at least one sample (relative frequencies).
binomial
See also
Other diversity measures:
heterogeneity()
,
plot_diversity
,
plot_rarefaction
,
profiles()
,
rarefaction()
,
richness()
,
she()
,
similarity()
,
simulate()
,
turnover()
Examples
## Data from Conkey 1980, Kintigh 1989
data("cantabria")
## Plot spot diagram of a co-occurrence matrix
occ_abs <- occurrence(cantabria, method = "absolute") # Absolute frequencies
plot_spot(occ_abs)
occ_rel <- occurrence(cantabria, method = "relative") # Relative frequencies
plot_spot(occ_rel)
## Binomial co-occurrence (similarity between types)
occ_bin <- occurrence(cantabria, method = "binomial")
plot_spot(occ_bin)