Description Usage Arguments Author(s) Examples
A function to simulate data with the same mean that spreads as class id increases.
1 2 3 4 5 6 7 8 9 | discr.sims.fat_tails(
n,
d,
K,
signal.scale = 1,
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 |
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 |
Eric Bridgeford
1 2 | library(mgc)
sim <- discr.sims.fat_tails(100, 3, 2)
|
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