mixture_plots: mixture_plots
In dCUR: Dimension Reduction with Dynamic CUR

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/mixture_plots.R

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

1	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.

\insertRef

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)