apqe: Apportionment of Quadratic Entropy

Description

The hierarchical apportionment of quadratic entropy defined by Rao (1982).

Usage

apqe(samples, dis = NULL, structures)
# S3 method for apqe
print(x, full = FALSE, …)

Arguments

samples

a data frame with haplotypes (or genotypes) as rows, populations as columns and abundance or presence-absence as entries

dis

an object of class dist computed from Euclidean distance. If dis is null, equidistances are used.

structures

a data frame that contains, in the jth row and the kth column, the name of the group of level k to which the jth population belongs

an object of class apqe

full

a logical value that indicates whether the original data ('distances', 'samples', 'structures') should be printed

…

… further arguments passed to or from other methods

Value

Returns a list of class apqe

call

results

a data frame that contains the components of diversity.

References

Rao, C.R. (1982) Diversity: its measurement, decomposition, apportionment and analysis. Sankhya: The Indian Journal of Statistics, A44, 1--22.

Pavoine S. and Dol<U+00E9>dec S. (2005) The apportionment of quadratic entropy: a useful alternative for partitioning diversity in ecological data. Environmental and Ecological Statistics, 12, 125--138.

Examples

Run this code

# NOT RUN {
data(ecomor)
ecomor.phylog <- taxo2phylog(ecomor$taxo)
apqe(ecomor$habitat, ecomor.phylog$Wdist)
# }

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