runif_sphere: Sampling for hyperspheres/hypercubes

In vdg: Variance Dispersion Graphs and Fraction of Design Space Plots

Sampling for hyperspheres/hypercubes

Description

Sample uniformly in or on a hyperspheres or hypercubes.

Usage

runif_cube(n, m = 2, max.dist = 1, at = FALSE, nr.dist = 21)

runif_sphere(n, m = 2, max.radius = sqrt(m), at = FALSE, nr.rad = 21)

Arguments

n	number of points to sample
m	number of design factors
max.dist	maximum distance from origin (L-infinity norm/supremum distance) for the hypercuboidal design region (enveloping hypercube)
at	logical indicating whether to sample on concentric hyperspheres/hypercubes or not. With this option n is distributed proportionally across radii / supremum distances so that the density of samples on each concentric hypercube / hypersphere are uniform across the different hyperspheres / hypercubes..
nr.dist	the number of concentric hypercubes to use in case at is TRUE
max.radius	maximum radius of the hyperspherical design region (enveloping hypersphere)
nr.rad	number of concentric hyperspheres to sample on in case of at being TRUE

Author(s)

Pieter C. Schoonees

References

Pieter C. Schoonees, Niel J. le Roux, Roelof L.J. Coetzer (2016). Flexible Graphical Assessment of Experimental Designs in R: The vdg Package. Journal of Statistical Software, 74(3), 1-22. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v074.i03")}.

Examples

set.seed(1234)
runif_sphere(n = 10)

set.seed(1234)
samp <- runif_sphere(n = 500, at = TRUE)
plot(samp, asp = 1)

vdg documentation built on May 29, 2024, 10:28 a.m.