plotmix.norm0: Histogram of the observations and the fitted density of a...
In MixtureInf: Inference for Finite Mixture Models

Description Usage Arguments Value Author(s) See Also Examples

Plot the histogram of the observations and the fitted density of a mixture of normals with equal and known variance.

1 2	plotmix.norm0(x, var, theta, hist = 1, comp = TRUE, k = 20, h = 1, main = "", xlab = "Observations", ylab = "")

`x`	data, can be either a vector or a matrix with the 1st column being the observed values and the 2nd column being the corresponding frequencies.
`var`	known component variance.
`theta`	parameter values, output of emtest.exp or pmle.exp, or a vector of parameter values, include mixing proportions and component parameters.
`hist`	style of histogram. hist = 0,1,2 are permitted. hist = 0 means no histogram, hist = 1,2 give two styles, default value: hist = 1.
`comp`	a parameter specifies the form of the component densities in the graph. comp = T switches on the component densities in the graph. If comp = F, no component densities will be included. default value: comp = T.
`k`	number of bins for the histogram, default value: k = 20.
`h`	a number between 0 and 1, specifying the height of the density function, default value: h = 1 (complete density function).
`main`	title of graph, default value: main = "".
`xlab`	label of x-axis, default value: xlab = "Observations".
`ylab`	label of y-axis, default value: ylab = "".

Return the histogram of the observations and the plot of the fitted density.

Shaoting Li, Jiahua Chen and Pengfei Li

emtest.norm0, pmle.norm0, rmix.norm

#generate a random sample from a 2 component normal mixture,
#compute the PMLE of parameters under a 2 component normal mixture model,
#plot the histgoram of the observations and the fitted density function.
x <- rmix.norm(200,c(0.3,0.7),c(-2,3))
out <- pmle.norm0(x,var=1,2)
plotmix.norm0(x,var=1,out)