Contour plot of the alpha-folded model in S^2
Contour plot of the alpha-folded model in S^2.
fold.contour(m, s, p, a, n = 100, x = NULL)
m |
The mean vector of the folded model. |
s |
The covariance matrix of the folded model. |
p |
The probability inside the simplex of the folded model. |
a |
The value of a for the α-transformation. |
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. |
The alpha-transformation is applied to the compositional data and then for a grid of points within the 2-dimensional simplex the folded model's density is calculated and the contours are plotted.
The contour plot of the folded model appears.
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
Tsagris Michail and Stewart Connie (2020). A folded model for compositional data analysis. Australian and New Zealand Journal of Statistics, 62(2): 249-277. https://arxiv.org/pdf/1802.07330.pdf
x <- as.matrix(iris[, 1:3]) x <- x / rowSums(x) a <- a.est(x)$best mod <- alpha.mle(x, a) fold.contour(mod$mu, mod$su, mod$p, a)
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