norm_beta: Normalised beta (low level diversity component)

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

Normalised beta (low level diversity component)

Description

Calculates the low-level diversity component necessary for calculating normalised beta diversity.

Usage

norm_beta(meta)

Arguments

meta	object of class metacommunity

Details

Values generated from norm_beta() may be input into subdiv() and metadiv() to calculate normalised subcommunity and metacommunity beta diversity.

Value

norm_beta returns an object of class relativeentropy

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 beta component
b <- norm_beta(meta)
subdiv(b, 1)
metadiv(b, 1)

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