| Contour plot of the Gaussian mixture model in S^2 {Compositional} | R Documentation |
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 |
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 mtsagris@uoc.gr and Christos Adam pada4m4@gmail.com.
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")