# fnm: Distribution of Two Finite Gaussian Mixtures In bda: Binned Data Analysis

 fnm R Documentation

## Distribution of Two Finite Gaussian Mixtures

### Description

To compute the values of the density and distribution functions of two finite Gaussian mixture models.

### Usage

``````  fnm(p1,p2,mu1,mu2,sig1,sig2,from,to)
``````

### Arguments

 `p1`, `p2` mixing coefficients. `mu1`, `mu2` vectors of the mean values of the Gaussian components. `sig1`, `sig2` vectors of the SD values of the Gaussian components. `from`, `to` to specify the range of data.

### Value

Return the densities ('y') and probabilities ('Fx') over a grid of 'x'.

### Examples

``````data(Pain)

group <- pain\$treat
x <- pain\$recall0
y <- pain\$recall1
#out <- tkde(x,y,group)
out <- tkde(x,y,group,type='percent')
plot(out\$risk,type='l')
abline(h=1,col='gray')

plot(out\$responder,type='l',ylim=c(-.28,.1))
lines(out\$resp\$ll~out\$resp\$x,lty=2,col=1+(out\$resp\$p<0.05))
lines(out\$resp\$ul~out\$resp\$x,lty=2,col=1+(out\$resp\$p<0.05))
abline(h=0,col='gray')

plot(out\$g2,type='l')
lines(out\$g1,col=2)

``````

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