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An S4 class to represent a diversity measure.

Slots

.Data

A numeric vector of diversity measures.

labels

A character vector giving the sample names.

size

An integer vector giving the sample sizes.

data

A numeric matrix of count data.

method

A character string specifying the method used.

simulation

A four columns numeric matrix giving the diversity measures for the simulated assemblage (sample size, mean estimate, lower and upper boundaries of the confidence interval).

seed

A numeric vector giving the value of .Random.seed before the simulation was started; otherwise it is the user specified value with a kind attribute with value as.list(RNGkind()).

Note

This class inherits from base numeric.

Coerce

In the code snippets below, x is an DiversityIndex object.

as.data.frame(x)

Coerces to a data.frame.

Author

N. Frerebeau