groupMetricsML {SIBER}

Calculate maximum likelihood based measures of dispersion of bivariate data

Description

This function loops over each group within each community and calculates the convex hull total area, Standard Ellipse Area (SEA) and its corresponding small sample size corrected version SEAc based on the maximum likelihood estimates of the means and covariance matrices of each group.

Usage

groupMetricsML(siber)

Arguments

siber

a siber object as created by createSiberObject.

Value

A 3 x m matrix of the 6 Layman metrics of dX_range, dY_range, TA, CD, MNND and SDNND in rows, where each column is a different group nested within a community.

Examples

data(demo.siber.data)
my.siber.data <- createSiberObject(demo.siber.data)
groupMetricsML(my.siber.data)