R: Simulate from Mixtures of Normals

rnormmix {mixtools} | R Documentation

## 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)

[Package mixtools version 1.2.0 Index]