rdiversity (version 2.3.0)

norm_sub_beta: Normalised subcommunity beta diversity

Description

Calculates similarity-sensitive normalised subcommunity beta diversity (an estimate of the effective number of distinct subcommunities). This measure may be calculated for a series of orders, represented as a vector of qs.

Usage

norm_sub_beta(meta, qs)

Value

norm_sub_beta returns a standard output of class rdiv

Arguments

meta

object of class metacommunity

qs

vector of mode numeric containing q values

References

R. Reeve, T. Leinster, C. Cobbold, J. Thompson, N. Brummitt, S. Mitchell, and L. Matthews. 2016. How to partition diversity. arXiv 1404.6520v3:1–9.

Examples

pop <- data.frame(a = c(1, 3), b = c(1, 1))
row.names(pop) <- paste0("sp", 1:2)
pop <- pop / sum(pop)
meta <- metacommunity(pop)

# Calculate normalised subcommunity beta diversity
norm_sub_beta(meta, 0:2)