R: Discriminability Cross Simulation

discr.sims.cross

R Documentation

Discriminability Cross Simulation

A function to simulate data with the same mean that spreads as class id increases.

discr.sims.cross(
  n,
  d,
  K,
  signal.scale = 10,
  non.scale = 1,
  mean.scale = 0,
  rotate = FALSE,
  class.equal = TRUE,
  ind = FALSE
)

`n`	the number of samples.
`d`	the number of dimensions.
`K`	the number of classes in the dataset.
`signal.scale`	the scaling for the signal dimension. Defaults to `10`.
`non.scale`	the scaling for the non-signal dimensions. Defaults to `1`.
`mean.scale`	whether the magnitude of the difference in the means between the two classes. If a mean scale is requested, `d` should be at least > `K`.
`rotate`	whether to apply a random rotation. Defaults to `TRUE`.
`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`.

Eric Bridgeford

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