SimNormalMix: Simulate Normal Mixture in 1d

In feji3769/simplesim: Simulate Data for Model Building

Description

Simulate data from m normal distributions centered at different locations with different variances.

Usage

SimNormalMix(N, mu, sigma, p, seed = NULL)

Arguments

N	number of data points to simulate.
mu	vector of means.
sigma	vector of standard deviations.
p	vector of weights for each distribution.
seed	seed for RNG (default = NULL).

Value

list(x = x, label = label)

Examples

N = 100
mu = c(1,2,3)
sigma = c(0.1, 0.1, 0.1)
p = c(1/4, 1/4, 1/2)
SimNormalMix(N, mu, sigma, p)

feji3769/simplesim documentation built on Dec. 12, 2020, 10:16 a.m.