laymanMetrics: Calculates the 6 Layman metrics on a vector of x and y data

In AndrewLJackson/SIBER: Stable Isotope Bayesian Ellipses in R

Calculates the 6 Layman metrics on a vector of x and y data

Description

This function takes two x and y vectors, and calculates the corresponding 6 Layman metrics based on these points. Note that for generality, the original metrics of dC_range and dN_range have been renamed dX_range and dY_range respectively. These modified names represent the x and y axes in terms of the order in which the data have been entered, and relate typically to how one plots the data. These x and y vectors could represent the means of the group members comprising a community as is preferred under the SIBER model framework. However, one could use them to calculate the point estimates of the 6 Layman metrics for an entire group of data. In fact, you are free to pass this function any set of x and y data you wish.

Usage

laymanMetrics(x, y)

Arguments

x	a vector of locations in the x-axis direction.
y	a vector of locations in the y-axis direction.

Value

A vector of the 6 Layman metrics of dX_range, dY_range, TA, CD, MNND and SDNND

Examples

x <- stats::runif(10)
y <- stats::runif(10)
laymanMetrics(x, y)

AndrewLJackson/SIBER documentation built on June 7, 2024, 3:21 a.m.