| rmixnormal {mixR} | R Documentation |
Generating Random Data From A Normal Mixture Model
Description
The function rmixnormal generates random data from a normal mixture model.
Usage
rmixnormal(n, pi, mu, sd)
Arguments
n |
a positive integer specifying the number of observations we want to generate from the mixture model |
pi |
a numeric vector for the proportion of each component |
mu |
a numeric vector for the mean of each component |
sd |
a numeric vector for the standard deviation of each component |
Details
The number of random data from each component n_0 (a vector) is generated from a multinomial
distribution Multinom(n, pi). Then the random data from each component is generated with
the sample sized specified in n_0 and parameters of normal distributions specified in
mu and sd.
Value
The function rmixnormal returns a numeric vector of random data from the specified normal mixture model.
See Also
rmixweibull, rmixgamma, rmixlnorm
Examples
x <- rmixnormal(1000, c(0.4, 0.6), c(2, 5), c(1, 0.5))
hist(x, breaks = 40)