traceplot {genridge} | R Documentation |
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,
...
)
Arguments
x |
A |
X |
What to plot as the horizontal coordinate, one of |
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 |
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.
Value
None. Used for its side effect of plotting.
Author(s)
Michael Friendly
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")