Principal Component Analysis

Computes and draws principal component.

Usage

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

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

# S4 method for 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.

See also

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

Author

N. Frerebeau

Examples

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