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

raw_beta(meta)

Arguments

meta

object of class metacommunity

Value

raw_beta returns an object of class relativeentropy

Details

Values generated from raw_beta() may be input into subdiv() and metadiv() to calculate raw 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 1404.6520v3:1–9.

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 raw beta component
b <- raw_beta(meta)
subdiv(b, 1)
#>    measure q type_level type_name partition_level partition_name diversity
#> 1 raw beta 1      types              subcommunity              a 0.6777015
#> 2 raw beta 1      types              subcommunity              b 0.3535534
#>   dat_id transformation normalised  k max_d
#> 1  naive             NA         NA NA    NA
#> 2  naive             NA         NA NA    NA
metadiv(b, 1)
#>    measure q type_level type_name partition_level partition_name diversity
#> 1 raw beta 1      types             metacommunity                0.5455618
#>   dat_id transformation normalised  k max_d
#> 1  naive             NA         NA NA    NA