data.gauss {fdm2id} | R Documentation |
Gaussian mixture dataset
Description
Generate a random multidimentional gaussian mixture.
Usage
data.gauss(
n = 1000,
k = 2,
prob = rep(1/k, k),
mu = cbind(rep(0, k), seq(from = 0, by = 3, length.out = k)),
cov = rep(list(matrix(c(6, 0.9, 0.9, 0.3), ncol = 2, nrow = 2)), k),
levels = NULL,
graph = TRUE,
seed = NULL
)
Arguments
n |
Number of observations. |
k |
The number of classes. |
prob |
The a priori probability of each class. |
mu |
The means of the gaussian distributions. |
cov |
The covariance of the gaussian distributions. |
levels |
Name of each class. |
graph |
A logical indicating whether or not a graphic should be plotted. |
seed |
A specified seed for random number generation. |
Value
A randomly generated dataset.
See Also
data.diag
, data.parabol
, data.target2
, data.twomoons
, data.xor
Examples
data.gauss ()
[Package fdm2id version 0.9.9 Index]