skewnorm.contour: Contour plot of the skew skew-normal distribution in S^2

In Compositional: Compositional Data Analysis

Contour plot of the skew skew-normal distribution in S^2

Description

Contour plot of the skew skew-normal distribution in S^2.

Usage

skewnorm.contour(x, type = "alr", n = 100, appear = TRUE, cont.line = FALSE)

Arguments

x	A matrix with the compositional data. It has to be a 3 column matrix.
type	This is either "alr" or "ilr", corresponding to the additive and the isometric log-ratio transformation respectively.
n	The number of grid points to consider over which the density is calculated.
appear	Should the available data appear on the ternary plot (TRUE) or not (FALSE)?
cont.line	Do you want the contour lines to appear? If yes, set this TRUE.

Details

The alr or the ilr transformation is applied to the compositional data at first. Then for a grid of points within the 2-dimensional simplex the bivariate skew skew-normal density is calculated and the contours are plotted along with the points.

Value

A ternary diagram with the points (if appear = TRUE) and the bivariate skew skew-normal contour lines.

Author(s)

Michail Tsagris and Christos Adam.

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

References

Azzalini A. and Valle A. D. (1996). The multivariate skew-skewnormal distribution. Biometrika 83(4):715-726.

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

See Also

diri.contour, mix.compnorm.contour, bivt.contour, compnorm.contour

Examples

x <- as.matrix(iris[51:100, 1:3])
x <- x / rowSums(x)
skewnorm.contour(x)

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