ec_cooc: Cooccurrence analysis

In KevCaz/ecoocc: Occurrence, co-occurrence and more

Cooccurrence analysis

Description

Cooccurrence analysis.

Usage

ec_cooc(x, ...)

## S3 method for class 'pa'
ec_cooc(x, ...)

## S3 method for class 'cooc_count'
ec_cooc(x, nsit, ...)

ec_cooc_pairwise(x, ...)

## S3 method for class 'pa'
ec_cooc_pairwise(x, ...)

## S3 method for class 'cooc_count'
ec_cooc_pairwise(x, nsit, ...)

ec_cooc_species(x, ...)

## S3 method for class 'pa'
ec_cooc_species(x, ...)

## S3 method for class 'cooc_count'
ec_cooc_species(x, nsit, ...)

ec_cooc_global(x, ...)

## S3 method for class 'pa'
ec_cooc_global(x, ...)

## S3 method for class 'cooc_count'
ec_cooc_global(x, nsit, ...)

Arguments

x	object to be converted into an object class pa.
...	ignored.
nsit	number of sites.

Functions

• ec_cooc_pairwise(): Return a matrix of cooccurrence metrics for pair of species.

• ec_cooc_species(): Return a matrix of cooccurrence metrics for species.

• ec_cooc_global(): Return a matrix of cooccurrence metrics for species.

Examples

mat0 <- matrix(0, 10, 10)
mat1 <- matrix(1, 10, 10)
matU <- rbind(cbind(mat1, mat0), cbind(mat0, mat1))
ec_cooc(ec_as_pa(matU))

KevCaz/ecoocc documentation built on May 24, 2023, 1:43 p.m.