These are core low-level routines for the computation of multiple diversity
indices, designed to be used by diversity.calc
and other functions.
Usage
berger_parker(x)
berger_parker_reciprocal(x)
simpson(x)
gini_simpson(x)
simpson_max(x)
simpson_reciprocal(x)
simpson_relative(x)
simpson_evenness(x)
shannon(x, base = 2)
shannon_max(x, base = 2)
shannon_relative(x, base = 2)
shannon_ens(x, base = 2)
mcintosh_diversity(x)
mcintosh_evenness(x)
smith_wilson(x, warn = TRUE)
heip_evenness(x)
margalef_index(x)
menhinick_index(x)
brillouin_index(x)
hill_number(x, q = 1)
renyi_entropy(x, q = 1)
tsallis_entropy(x, q = 1)
hill_evenness(x, q = 1)Arguments
- x
A factor vector of categories (e.g., species, traits). The frequency of each level is treated as the abundance of that category.
- base
The logarithm base to be used for computation of shannon family of diversity indices. Default is
exp(1).- warn
logical. If
TRUEshows the relevant warning. Default isTRUE.- q
The order of the parametric index.