SIBER: generateSiberGroup – R documentation

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generateSiberGroup

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 `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()

SIBER

Stable Isotope Bayesian Ellipses in R

v2.1.6

GPL (>= 2)

Authors

Andrew Jackson and Andrew Parnell

Initial release