# conplot: Functions of Contours In EMMIXskew: The EM Algorithm and Skew Mixture Distribution

## Description

These functions are called by EmSkew.contours,EmSkew.filter and EmSkew.flow to plot the contours of (skew) mixture density after fitting to the data.

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10``` ```conplot(x, y, pro, mu, sigma, dof, delta, distr, grid = 300, nrand = 6000, levels = seq(5, 95, by = 20), col = "white") conplot2(x, y, pro, mu, sigma, dof, delta, distr, grid = 300, nrand = 6000, levels = seq(5, 95, by = 20)) conplot3(x, y, pro, mu, sigma, dof, delta, modpts,distr, grid =300, nrand = 10000, levels = seq(5, 95, by = 20)) mypanel2(x,y,...) mypanel3(x,y,...) mypanel4(x,y,...) panel.density(x, col=1,...) ```

## Arguments

 `x` A vector of observations on variable x. `y` A vector of observations on variable y. `pro` A vector of mixing proportions in the (skew) mixture model. `mu` A matrix with each column corresponding to the mean or location vector of one mixture component. `sigma` An array of covariance matrices for each component of the mixture distribution. `dof` A vector of degrees of freedom when "distr"ibution is "mvt" or "mst". `delta` A matrix with each column as skew parameter vector of one component when "distr"ibution is "msn" or "mst". `distr` A three letter string indicating component distribution, "mvn"=normal distribution, "mvt"=t-distribution,"msn"=skew normal distribution, "mst"=skew t-ditribution. `modpts` The mode points. `grid` An integer for the number of grid points in one direction. `nrand` A large integer for the number of random numbers being drawn. `levels` A vector of contour percentage levels for the plots. It should be in the range of 0 to 100. `col` The colour of contour lines. `...` other

## Details

In most case, users do not call this function directly, instead they call the function emmix.flow.

`EmSkew.flow`