rnormmix: Simulate from Mixtures of Normals

In mixtools: Tools for Analyzing Finite Mixture Models

Simulate from Mixtures of Normals

Description

Simulate from a mixture of univariate normal distributions.

Usage

rnormmix(n, lambda=1, mu=0, sigma=1)

Arguments

n	Number of cases to simulate.
lambda	Vector of mixture probabilities, with length equal to m, the desired number of components (subpopulations). This is assumed to sum to 1; if not, it is normalized.
mu	Vector of means.
sigma	Vector of standard deviations.

Details

This function simply calls rmvnormmix.

Value

rnormmix returns an n-vector sampled from an m-component mixture of univariate normal distributions.

See Also

makemultdata, rmvnormmix

Examples

##Generate data from a 2-component mixture of normals.

set.seed(100)
n <- 500
lambda <- rep(1, 2)/2
mu <- c(0, 5)
sigma <- rep(1, 2)
mixnorm.data <- rnormmix(n, lambda, mu, sigma)

##A histogram of the simulated data.

hist(mixnorm.data)

mixtools documentation built on Dec. 5, 2022, 5:23 p.m.