# mixnorm: The mixed normal distribution In bda: Binned Data Analysis

 mnorm R Documentation

## The mixed normal distribution

### Description

Density, distribution function, quantile function and random generation for the normal mixture distribution with means equal to 'mu' and standard deviations equal to 's'.

### Usage

``````	dmnorm(x,p,mean,sd)
pmnorm(q,p,mean,sd)
qmnorm(prob,p,mean,sd)
rmnorm(n,p,mean,sd)
``````

### Arguments

 `x`, `q` vector of quantiles in dmixnorm and pmixnorm. In qmixnorm, 'x' is a vector of probabilities. `p` proportions of the mixture components. `prob` A vector of probabilities. `n` number of observations. If 'length(n) > 1', the length is taken to be the number required. `mean` vector of means `sd` vector of standard deviations

### Value

Return the density, probability, quantile and random value, respectively.

### Examples

``````
p <- c(.4,.6)
mu <- c(1,4)
s <- c(2,3)
dmnorm(c(0,1,2,20),p,mu,s)
pmnorm(c(0,1,2,20),p,mu,s)
qmnorm(c(0,1,.2,.20),p,mu,s)
rmnorm(3,p,mu,s)

``````

bda documentation built on May 29, 2024, 2:56 a.m.