# plotmix.pois: Histogram of the observations and the fitted probability mass... In MixtureInf: Inference for Finite Mixture Models

## Description

Plot the histogram of the observations and the fitted probability mass function of a mixture of Poissons.

## Usage

 ```1 2``` ```plotmix.pois(x, theta, hist = 1, comp = TRUE, 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. `theta` parameter values, output of emtest.pois or pmle.pois, 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 probability functions in the graph. The component probability functions will be plotted only if the order is 3 or lower. comp = T switches on the component probability functions in the graph. If comp = F, no component probability functions will be included. default value: comp = T. `h` a number between 0 and 1, specifying the height of the probability function, default value: h=1 (complete probability 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 probability mass function.

## Author(s)

Shaoting Li, Jiahua Chen and Pengfei Li

 ```1 2 3 4 5 6``` ```#generate a random sample from a 2 component Poisson mixture, #plot the histogram of the observations and the probability mass function with a set of #given parameters. x <- rmix.pois(200,c(0.3,0.7),c(2,5)) theta <- c(0.25,0.75,1.8,5.2) plotmix.pois(x,theta) ```