Normalised rho (low level diversity component)

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

norm_rho(meta)

Arguments

meta

object of class metacommunity

Value

norm_rho returns an object of class powermean

Details

Values generated from norm_rho() may be input into subdiv() and metadiv() to calculate normalised subcommunity and metacommunity rho 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 normalised rho component
r <- norm_rho(meta)
subdiv(r, 1)
#>          measure q type_level type_name partition_level partition_name
#> 1 normalised rho 1      types              subcommunity              a
#> 2 normalised rho 1      types              subcommunity              b
#>   diversity dat_id transformation normalised  k max_d
#> 1 0.9837173  naive             NA         NA NA    NA
#> 2 0.9428090  naive             NA         NA NA    NA
metadiv(r, 1)
#>          measure q type_level type_name partition_level partition_name
#> 1 normalised rho 1      types             metacommunity               
#>   diversity dat_id transformation normalised  k max_d
#> 1 0.9698877  naive             NA         NA NA    NA