rnorMix: Generate 'Normal Mixture' Distributed Random Numbers

In nor1mix: Normal aka Gaussian 1-d Mixture Models

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.

Note that the these integer (multinomial) numbers are generated via sample(), which is by .Random.seed, notably from RNGkind(sample.kind = ..) which changed with R version 3.6.0.

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")

nor1mix documentation built on May 29, 2024, 8:28 a.m.