sim.coord: Simulate coordinate data.

In akiopteryx/lambda: LandMark-Based Data Assessment

Description

Generates 2-D and 3-D data based on a simple variance-covariance matrix.

Usage

sim.coord(n.obj, n.landmark, var=1, cov=0.5, dim)

Arguments

n.obj	Number of specimens.
n.landmark	Number of landmarks.
var	Single variance applied to each landmark (default=1.0).
cov	Single covariance applied to each pair of landmarks (default=0.5).
dim	Number of spatial dimensions (e.g., 2 for 2-D data, 3 for 3-D data)

Details

The function simulates 2-D or 3-D coordinate data by sampling values based on a variance-covariance matrix. The user can specify the variance and covariance values that will be applied to all landmarks and pairwise landmarks, respectively.

Value

The function returns a matrix of simulated coordinate values where rows and columns represent specimens and shape variables, respectively.

Author(s)

Akinobu Watanabe

References

Watanabe, A. 2018. How many landmarks are enough to characterize shape and size variation? PLoS ONE 13(6): e0198341. https://doi.org/10.1371/journal.pone.0198341

Examples

sim.3d.data <- sim.coord(n.obj=10, n.landmark=20, var=1, cov=0.5, dim=3)
sim.3d.data

akiopteryx/lambda documentation built on Dec. 26, 2020, 7:36 p.m.