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

## Description

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

## Usage

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

## Arguments

 `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 = "".

## Value

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

## Author(s)

Shaoting Li, Jiahua Chen and Pengfei Li

 ```1 2 3 4 5 6``` ```#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) ```