Calculates the low-level diversity component necessary for calculating normalised alpha diversity.
norm_alpha(meta)object of class metacommunity
norm_alpha returns an object of class powermean
Values generated from norm_alpha() may be input into subdiv()
and metadiv() to calculate normalised subcommunity and metacommunity
alpha diversity.
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.
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 alpha component
a <- norm_alpha(meta)
subdiv(a, 1)
#> measure q type_level type_name partition_level partition_name
#> 1 normalised alpha 1 types subcommunity a
#> 2 normalised alpha 1 types subcommunity b
#> diversity dat_id transformation normalised k max_d
#> 1 1.754765 naive NA NA NA NA
#> 2 2.000000 naive NA NA NA NA
metadiv(a, 1)
#> measure q type_level type_name partition_level partition_name
#> 1 normalised alpha 1 types metacommunity
#> diversity dat_id transformation normalised k max_d
#> 1 1.832973 naive NA NA NA NA