| rmixlnorm {mixR} | R Documentation |
Generating Random Data From A Lognormal Mixture Model
Description
The function rmixlnorm generates random data from a lognormal mixture model.
Usage
rmixlnorm(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 lognormal distributions specified in
mu and sd.
Value
The function rmixlnorm returns a numeric vector of random data from the specified lognormal mixture model.
See Also
rmixnormal, rmixweibull, rmixgamma
Examples
x <- rmixlnorm(1000, c(0.4, 0.6), c(2, 5), c(1, 0.5))
hist(x, breaks = 40)