genridge (version 0.6-1)

pairs.ridge: Scatterplot Matrix of Bivariate Ridge Trace Plots

Description

Displays all possible pairs of bivariate ridge trace plots for a given set of predictors.

Usage

## S3 method for class 'ridge':
pairs(x, variables, radius = 1, lwd = 1, lty = 1, 
   col = c("black", "red", "darkgreen", "blue", "darkcyan", "magenta", "brown", "darkgray"), 
   center.pch = 16, center.cex = 1.25, digits = getOption("digits") - 3, 
   diag.cex = 2, diag.panel = panel.label, fill = FALSE, fill.alpha = 0.3, ...)

Value

None. Used for its side effect of plotting.

References

Friendly, M. (2011). The Generalized Ridge Trace Plot: Visualizing Bias and Precision. In preparation.

See Also

ridge for details on ridge regression as implemented here plot.ridge, traceplot for other plotting methods

Examples

longley.y <- longley[, "Employed"]
longley.X <- data.matrix(longley[, c(2:6,1)])

lambda <- c(0, 0.005, 0.01, 0.02, 0.04, 0.08)
lridge <- ridge(longley.y, longley.X, lambda=lambda)

pairs(lridge, radius=0.5, diag.cex=1.75)

if (require("ElemStatLearn")) {
	py <- prostate[, "lpsa"]
	pX <- data.matrix(prostate[, 1:8])
	pridge <- ridge(py, pX, df=8:1)
	
	pairs(pridge)
}