rdiversity (version 2.0)

norm_beta: 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

Value

norm_beta returns an object of class relativeentropy

Details

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

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<U+2013>9.

Examples

# NOT RUN {
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)

# }