generateSiberGroup: A utility function to simulate a single group of data

In AndrewLJackson/SIBER: Stable Isotope Bayesian Ellipses in R

A utility function to simulate a single group of data

Description

This function simulates data for a single group by sampling from a normal distribution with different means for each group within some specified boundaries.

Usage

generateSiberGroup(mu.range = c(-1, 1, -1, 1), n.obs = 30, wishSigmaScale = 1)

Arguments

mu.range	a vector of length 4, specifying the mix and max x and y values to sample means from. Group means are sampled from a uniform distribution within this range. The first two entries are the min and max of the x-axis, and the second two the min and max of the y-axis.
n.obs	the number of observations to draw per group. Defaults to 30.
wishSigmaScale	is a simple multiplier for the call to stats::rWishart() which scales the diagonal sigma matrix using wishSigmaScale * diag(2).

Value

A data.frame object comprising a column of x and y data, a group identifying column and a community identifying column, all of which are numeric.

Examples

# generateSiberGroup()

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