View source: R/mixture_plots.R

mixture_plots | R Documentation |

This function returns different plots associated with the fitting of leverages scores through Mixture Gaussian Models.

```
mixture_plots(data)
```

`data` |
An object resulting from a call to CUR when "mixture" is specified as cur_method. |

Gaussian Mixture Models Plots

`mixture_plots`

returns a list with the following plots:

`BIC` |
BIC Plot of the Bayesian Information Criterion (BIC) for each number of mixture components. E and V stands for equal variance in mixture components or variable variance, respectively. |

`density` |
leverages score's density |

`Cumulative` |
cumulative density of leverages scores. |

`QQPlot` |
Plot the sample quantiles and controlled quantiles of the inverse of the cumulative distribution function. |

Cesar Gamboa-Sanabria, Stefany Matarrita-Munoz, Katherine Barquero-Mejias, Greibin Villegas-Barahona, Mercedes Sanchez-Barba and Maria Purificacion Galindo-Villardon.

Mahoney697dCUR \insertRefvillegas2018modelodCUR \insertRefdynamyCURdCUR

`dCUR`

`CUR`

```
results <- CUR(data=AASP, variables=hoessem:notabachillerato,
k=20, rows = .9999999, columns = .10, standardize = TRUE,
cur_method = "mixture")
mixture_plots(results)
```

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