tclust (version 2.0-5)

plot.tclustIC: 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 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

 # \donttest{
 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)
 # }