discr.sims.radial: Discriminability Radial Simulation

In JINJINT/aLDG: Compute and evaluate the bivariate dependence

Discriminability Radial Simulation

Description

A function to simulate data with the same mean with radial symmetry as class id increases.

Usage

discr.sims.radial(
  n,
  d,
  K,
  er.scale = 0.1,
  r = 1,
  class.equal = TRUE,
  ind = FALSE
)

Arguments

n	the number of samples.
d	the number of dimensions.
K	the number of classes in the dataset.
er.scale	the scaling for the error of the samples. Defaults to 0.1.
r	the radial spacing between each class. Defaults to 1.
class.equal	whether the number of samples/class should be equal, with each class having a prior of 1/K, or inequal, in which each class obtains a prior of k/sum(K) for k=1:K. Defaults to TRUE.
ind	whether to sample x and y independently. Defaults to FALSE.

Author(s)

Eric Bridgeford

Examples

library(mgc)
sim <- discr.sims.radial(100, 3, 2)

JINJINT/aLDG documentation built on April 1, 2022, 6:23 p.m.