Description Usage Arguments Author(s) Examples
A function to simulate data with the same mean with radial symmetry as class id increases.
1 2 3 4 5 6 7 8 9 | discr.sims.radial(
n,
d,
K,
er.scale = 0.1,
r = 1,
class.equal = TRUE,
ind = FALSE
)
|
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 |
r |
the radial spacing between each class. 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.radial(100, 3, 2)
|
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