
Ternary diagram of regression models.
ternary.reg(y, est, id, labs)
A matrix with the compositional data.
A matrix with all fitted compositional data for all regression models, one under the other.
A vector indicating the regression model of each fitted compositional data set.
The names of the regression models to appea in the legend.
The ternary plot and lines for the fitted values of each regression model.
The points first appear on the ternary plot. Then, the fitted compositional data appear with different lines for each regression model.
Aitchison J. (1986). The statistical analysis of compositional data. Chapman \& Hall.
# NOT RUN {
x <- cbind(1, rnorm(50) )
a <- exp( x %*% matrix( rnorm(6,0, 0.4), ncol = 3) )
y <- matrix(NA, 50, 3)
for (i in 1:50) y[i, ] <- rdiri(1, a[i, ])
est <- comp.reg(y, x[, -1], xnew = x[, -1])$est
ternary.reg(y, est, id = rep(1, 50), labs = "ALR regression")
# }
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