powered by
Contour plot of the Dirichlet distribution in \(S^2\).
diri.contour(a, n = 100, x = NULL, cont.line = FALSE)
A vector with three elements corresponding to the 3 (estimated) parameters.
The number of grid points to consider over which the density is calculated.
This is either NULL (no data) or contains a 3 column matrix with compositional data.
Do you want the contour lines to appear? If yes, set this TRUE.
A ternary diagram with the points and the Dirichlet contour lines.
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 he/she wish to.
Ng Kai Wang, Guo-Liang Tian and Man-Lai Tang (2011). Dirichlet and related distributions: Theory, methods and applications. John Wiley & Sons.
Aitchison J. (1986). The statistical analysis of compositional data. Chapman & Hall.
mixdiri.contour, compnorm.contour, bivt.contour, comp.kerncontour, mix.compnorm.contour
# NOT RUN { x <- as.matrix( iris[, 1:3] ) x <- x / rowSums(x) diri.contour( a = c(3, 4, 2) ) # }
Run the code above in your browser using DataLab