fd.contour: Contour plot of the Flexible Dirichlet distribution in S^2

In Compositional: Compositional Data Analysis

Contour plot of the Flexible Dirichlet distribution in S^2

Description

Contour plot of the Flexible Dirichlet distribution in S^2.

Usage

fd.contour(alpha, prob, tau, n = 100, x = NULL, cont.line = FALSE)

Arguments

alpha	A vector of the non-negative \alpha parameters.
prob	A vector of the clusters' probabilities. It must sum to one.
tau	The non-negative scalar tau parameter.
n	The number of grid points to consider over which the density is calculated.
x	This is either NULL (no data) or contains a 3 column matrix with compositional data.
cont.line	Do you want the contour lines to appear? If yes, set this TRUE.

Details

The user can plot only the contour lines of a Dirichlet with a given vector of parameters, or can also add the relevant data should they wish to.

Value

A ternary diagram with the points and the Flexible Dirichlet contour lines.

Author(s)

Michail Tsagris and Christos Adam.

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

References

Ongaro A. and Migliorati S. (2013). A generalization of the Dirichlet distribution. Journal of Multivariate Analysis, 114, 412–426.

Migliorati S., Ongaro A. and Monti G. S. (2017). A structured Dirichlet mixture model for compositional data: inferential and applicative issues. Statistics and Computing, 27, 963–983.

See Also

compnorm.contour, folded.contour, bivt.contour, comp.kerncontour, mix.compnorm.contour

Examples

fd.contour(alpha = c(10, 11, 12), prob = c(0.25, 0.25, 0.5), tau = 4)

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