get.matrix: Extract elements from a 'dispRity' object.

In TGuillerme/dispRity: Measuring Disparity

Extract elements from a dispRity object.

Description

Extract a matrix or the disparity results from a dispRity.

Usage

get.matrix(data, subsets, rarefaction, bootstrap, matrix)

get.disparity(data, subsets, rarefaction, observed, concatenate)

Arguments

data	A dispRity object.
subsets	Optional, a numeric or character for which subsets to get (if missing, the value for all subsets are given).
rarefaction	Optional, a single numeric value corresponding to the rarefaction level (as the number of elements; if missing, the non-rarefied values are output).
bootstrap	Optional, a numeric value to select a specific bootstrap draw (0 is no bootstrap).
matrix	A numeric value of which matrix to select (default is 1).
observed	A logical value indicating whether to output the observed (TRUE (default)) or the bootstrapped values (FALSE).
concatenate	When the disparity metric is a distribution, whether to concatenate it returning the median (TRUE; default) or to return each individual values.

Author(s)

Thomas Guillerme

See Also

dispRity, get.subsets.

Examples

## Load the disparity data based on Beck & Lee 2014
data(disparity)

## To get the original matrix
get.matrix(disparity)

## To get the un-bootstrapped matrix from the subset called "80"
get.matrix(disparity, subsets = "80")

## To get the 52nd bootstrap draw of the second rarefaction level (15) of the
## same subset
get.matrix(disparity, subsets = 2, rarefaction = 2, bootstrap = 52)

## Extracting the observed disparity
get.disparity(disparity)

## Extracting the bootstrapped disparity
boot_disp <- get.disparity(disparity, observed = FALSE)
str(boot_disp)
## Or only the rarefied (5) data
boot_disp_rare <- get.disparity(disparity, observed = FALSE,
     rarefaction = 5)

TGuillerme/dispRity documentation built on April 17, 2024, 10 p.m.