Contour plot of the Gaussian mixture model in S^2 {Compositional} | R Documentation |
Contour plot of the Gaussian mixture model in S^2.
mixnorm.contour(mod, type = "alr", x = NULL, cont.line = FALSE)
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. |
cont.line |
Do you want the contour lines to appear? If yes, set this TRUE. |
x |
A matrix with the compositional data. |
The contour plot of a Gaussian mixture model is plotted. For this you need the (fitted) model.
A ternary plot with the data and the contour lines of the fitted Gaussian mixture model.
Michail Tsagris and Christos Adam.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr and Christos Adam pada4m4@gmail.com.
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.
mix.compnorm, bic.mixcompnorm, diri.contour
## Not run: x <- as.matrix(iris[, 1:3]) x <- x / rowSums(x) mod <- mix.compnorm(x, 3, model = "EII") mixnorm.contour(x, "alr", mod) ## End(Not run)