Ternary diagram of regression models
Ternary diagram of regression models.
ternary.reg(y, est, id, labs)
y |
A matrix with the compositional data. |
est |
A matrix with all fitted compositional data for all regression models, one under the other. |
id |
A vector indicating the regression model of each fitted compositional data set. |
labs |
The names of the regression models to appea in the legend. |
The points first appear on the ternary plot. Then, the fitted compositional data appear with different lines for each regression model.
The ternary plot and lines for the fitted values of each regression model.
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
Aitchison J. (1986). The statistical analysis of compositional data. Chapman \& Hall.
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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