ternary_pca: Principal Component Analysis

In isopleuros: Ternary Plots

Principal Component Analysis

Description

Computes and draws principal component.

Usage

ternary_pca(x, y, z, ...)

## S4 method for signature 'numeric,numeric,numeric'
ternary_pca(x, y, z, axis = 1, ...)

## S4 method for signature 'ANY,missing,missing'
ternary_pca(x, axis = 1, ...)

Arguments

x, y, z	A numeric vector giving the x, y and z ternary coordinates of a set of points. If y and z are missing, an attempt is made to interpret x in a suitable way (see grDevices::xyz.coords()).
...	Further arguments to be passed to graphics::lines().
axis	An integer specifying the dimension to be plotted.

Value

ternary_pca() is called it for its side-effects.

Author(s)

N. Frerebeau

See Also

Other statistics: ternary_contour(), ternary_density(), ternary_ellipse(), ternary_hull(), ternary_mean()

Examples

## PCA
## Data from Aitchison 1986
ternary_plot(lava, panel.first = ternary_grid())
ternary_pca(lava, axis = 1, col = "red", lty = 2)

isopleuros documentation built on April 3, 2025, 7:40 p.m.