PlotMixturesAndBoundaries {AdaptGauss} | R Documentation |

## Shows GMM with Boundaries

### Description

Plots Gaussian Mixture Model with Bayes decision boundaries, such that:

Black is the PDE of Data

Red is color of the GMM

Magenta are the Bayes boundaries

### Usage

```
PlotMixturesAndBoundaries(Data, Means, SDs, Weights,
IsLogDistribution = rep(FALSE, length(Means)), Plotter="native",
SingleColor = "blue", MixtureColor = "red", DataColor = "black",
BoundaryColor = "magenta", xlab, ylab,
SingleGausses =TRUE, ...)
```

### Arguments

`Data` |
vector (1:N) of data points |

`Means` |
vector[1:L] of Means of Gaussians (of GMM),L == Number of Gaussians |

`SDs` |
vector of standard deviations, estimated Gaussian Kernels, has to be the same length as Means |

`Weights` |
vector of relative number of points in Gaussians (prior probabilities), has to be the same length as Means |

`IsLogDistribution` |
Optional, ==1 if distribution(i) is a LogNormal, default vector of zeros of length 1:L |

`Plotter` |
Optional, plotting package, either native or plotly |

`SingleColor` |
Optional, Color for line plot of all the single gaussians, default magenta |

`MixtureColor` |
Optional, Color of line plot for the mixture, default red |

`DataColor` |
Optional, Color of line plot for the data, default black |

`BoundaryColor` |
Optional, Color of bayesian boundaries |

`xlab` |
Optional, x label, see |

`ylab` |
Optional, y label, ee |

`SingleGausses` |
Optional, SingleGausses=T than components of the mixture in blue will be shown. |

`...` |
Optional, see |

### Author(s)

Michael Thrun

### See Also

`BayesDecisionBoundaries`

,`PlotMixtures`

*AdaptGauss*version 1.6 Index]