norm_sub_beta: Normalised subcommunity beta diversity

In boydorr/rdiversity: Measurement and Partitioning of Similarity-Sensitive Biodiversity

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)

Arguments

meta	object of class metacommunity
qs	vector of mode numeric containing q values

Value

norm_sub_beta returns a standard output of class rdiv

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)

boydorr/rdiversity documentation built on May 6, 2022, 10:56 a.m.