R: Generate 'Normal Mixture' Distributed Random Numbers

rnorMix {nor1mix} | R Documentation

## Generate 'Normal Mixture' Distributed Random Numbers

### Description

Generate `n` random numbers, distributed according to a normal mixture.

### Usage

    rnorMix(n, obj)

### Arguments

`n` | the number of random numbers desired.
`obj` | an object of class `norMix`.

### Details

For a mixture of m, i.e., `m.norMix(obj)`, components, generate the number in each component as multinomial, and then use `rnorm` for each.

### Value

numeric vector of length `n`.

### See Also

`dnorMix` for the density, and `norMix` for the construction and further methods.

### Examples

    x <- rnorMix(5000, MW.nm10)
    hist(x)# you don't see the claw
    plot(density(x), ylim = c(0,0.6),
         main = "Estim. and true 'MW.nm10' density")
    lines(MW.nm10, col = "orange")

[Package nor1mix version 1.2-3 Index]