plot.tclustIC: The 'plot' method for objects of class 'tclustIC'

In tclust: Robust Trimmed Clustering

The plot method for objects of class tclustIC

Description

The plot method for class tclustIC: This function implements a series of plots, which display characteristic values of each model, computed with different values for k and c for a fixed alpha.

Usage

## S3 method for class 'tclustIC'
plot(x, whichIC, main, xlab, ylab, xlim, ylim, col, lty, ...)

Arguments

x	The tclustIC object to be shown
whichIC	A string indicating which information criterion will be used. See the details section for more information.
main	A character-string containing the title of the plot.
xlab, ylab, xlim, ylim	Arguments passed to plot().
col	A single value or vector of line colors passed to lines.
lty	A single value or vector of line types passed to lines.
...	Arguments to be passed to or from other methods.

References

Cerioli, A., Garcia-Escudero, L.A., Mayo-Iscar, A. and Riani M. (2017). Finding the Number of Groups in Model-Based Clustering via Constrained Likelihoods, Journal of Computational and Graphical Statistics, pp. 404-416, https://doi.org/10.1080/10618600.2017.1390469.

Examples

 
 sig <- diag (2)
 cen <- rep (1, 2)
 x <- rbind(MASS::mvrnorm(108, cen * 0,   sig),
 	       MASS::mvrnorm(162, cen * 5,   sig * 6 - 2),
 	       MASS::mvrnorm(30, cen * 2.5, sig * 50))

 (out <- tclustIC(x, whichIC="ALL"))

 plot(out)
 

tclust documentation built on April 4, 2025, 2:05 a.m.