mnorm

0th

Percentile

The mixed normal distribution

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

Keywords
distribution
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.

Aliases
  • pmnorm
  • dmnorm
  • qmnorm
  • rmnorm
Examples
# NOT RUN {
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)

# }
Documentation reproduced from package bda, version 14.3.19, License: Unlimited

Community examples

Looks like there are no examples yet.