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rdiversity (version 1.0)

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

Returns an object of class relativeentropy.

Details

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

References

Reeve, R., T. Leinster, C. Cobbold, J. Thompson, N. Brummitt, S. Mitchell, and L. Matthews. 2014. How to partition diversity. arXiv 1404.6520:1<U+2013>9.

Examples

Run this code
# 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
norm_beta(meta)

# }

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