mix.compnorm.contour: Contour plot of the Gaussian mixture model in S^2

In Compositional: Compositional Data Analysis

Contour plot of the Gaussian mixture model in S^2

Description

Contour plot of the Gaussian mixture model in S^2.

Usage

mix.compnorm.contour(mod, type = "alr", n = 100, x = NULL, cont.line = FALSE)

Arguments

mod	An object containing the output of a mix.compnorm model.
type	The type of trasformation used, either the additive log-ratio ("alr"), the isometric log-ratio ("ilr") or the pivot coordinate ("pivot") transformation.
n	The number of grid points to consider over which the density is calculated.
x	A matrix with the compositional data.
cont.line	Do you want the contour lines to appear? If yes, set this TRUE.

Details

The contour plot of a Gaussian mixture model is plotted. For this you need the (fitted) model.

Value

A ternary plot with the data and the contour lines of the fitted Gaussian mixture model.

Author(s)

Michail Tsagris and Christos Adam.

R implementation and documentation: Michail Tsagris [e-mail] and Christos Adam [e-mail].

References

Ryan P. Browne, Aisha ElSherbiny and Paul D. McNicholas (2015). R package mixture: Mixture Models for Clustering and Classification

Aitchison J. (1986). The statistical analysis of compositional data. Chapman & Hall.

See Also

mix.compnorm, bic.mixcompnorm, diri.contour

Examples

x <- as.matrix(iris[, 1:3])
x <- x / rowSums(x)
mod <- mix.compnorm(x, 3, model = "EII")
mix.compnorm.contour(mod, "alr")

Compositional documentation built on Oct. 9, 2024, 5:10 p.m.