discr.sims.fat_tails {mgc} | R Documentation |
Discriminability Spread Simulation
Description
A function to simulate data with the same mean that spreads as class id increases.
Usage
discr.sims.fat_tails(
n,
d,
K,
signal.scale = 1,
rotate = FALSE,
class.equal = TRUE,
ind = FALSE
)
Arguments
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 |
rotate |
whether to apply a random rotation. Defaults to |
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 |
ind |
whether to sample x and y independently. Defaults to |
Author(s)
Eric Bridgeford
Examples
library(mgc)
sim <- discr.sims.fat_tails(100, 3, 2)
[Package mgc version 2.0.2 Index]