rcompnorm: Multivariate normal random values simulation on the simplex

In Compositional: Compositional Data Analysis

Multivariate normal random values simulation on the simplex

Description

Multivariate normal random values simulation on the simplex.

Usage

rcompnorm(n, m, s, type = "alr")

Arguments

n	The sample size, a numerical value.
m	The mean vector in R^d.
s	The covariance matrix in R^d.
type	The alr (type = "alr") or the ilr (type = "ilr") is to be used for closing the Euclidean data onto the simplex.

Details

The algorithm is straightforward, generate random values from a multivariate normal distribution in R^d and brings the values to the simplex S^d using the inverse of a log-ratio transformation.

Value

A matrix with the simulated data.

Author(s)

Michail Tsagris.

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

References

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

See Also

comp.den, rdiri, rcompt, rcompsn

Examples

x <- as.matrix(iris[, 1:2])
m <- colMeans(x)
s <- var(x)
y <- rcompnorm(100, m, s)
comp.den(y)
ternary(y)

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