mgc (version 2.0.2)

discr.sims.radial: 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.

Examples

# NOT RUN {
library(mgc)
sim <- discr.sims.radial(100, 3, 2)
# }