genridge (version 0.7.0)

traceplot: Univariate Ridge Trace Plots

Description

The traceplot function extends and simplifies the univariate ridge trace plots for ridge regression provided in the plot method for lm.ridge

Usage

traceplot(
  x,
  X = c("lambda", "df"),
  col = c("black", "red", "darkgreen", "blue", "darkcyan", "magenta", "brown",
    "darkgray"),
  pch = c(15:18, 7, 9, 12, 13),
  xlab,
  ylab = "Coefficient",
  xlim,
  ylim,
  ...
)

Value

None. Used for its side effect of plotting.

Arguments

x

A ridge object, as fit by ridge

X

What to plot as the horizontal coordinate, one of c("lambda", "df")

col

A numeric or character vector giving the colors used to plot the ridge trace curves. Recycled as necessary.

pch

Vector of plotting characters used to plot the ridge trace curves. Recycled as necessary.

xlab

Label for horizontal axis

ylab

Label for vertical axis

xlim, ylim

x, y limits for the plot

...

Other arguments passed to matplot

Author

Michael Friendly

Details

For ease of interpretation, the variables are labeled at the side of the plot (left, right) where the coefficient estimates are expected to be most widely spread. If xlim is not specified, the range of the X variable is extended slightly to accommodate the variable names.

References

Friendly, M. (2013). The Generalized Ridge Trace Plot: Visualizing Bias and Precision. Journal of Computational and Graphical Statistics, 22(1), 50-68, doi:10.1080/10618600.2012.681237, https://www.datavis.ca/papers/genridge-jcgs.pdf

Hoerl, A. E. and Kennard R. W. (1970). "Ridge Regression: Applications to Nonorthogonal Problems", Technometrics, 12(1), 69-82.

See Also

ridge for details on ridge regression as implemented here

plot.ridge, pairs.ridge 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)

traceplot(lridge)
#abline(v=lridge$kLW, lty=3)
#abline(v=lridge$kHKB, lty=3)
#text(lridge$kLW, -3, "LW")
#text(lridge$kHKB, -3, "HKB")

traceplot(lridge, X="df")