plot.grpreg: Plot coefficients from a "grpreg" object

In grpreg: Regularization Paths for Regression Models with Grouped Covariates

Plot coefficients from a "grpreg" object

Description

Produces a plot of the coefficient paths for a fitted grpreg object.

Usage

## S3 method for class 'grpreg'
plot(x, alpha = 1, legend.loc, label = FALSE, log.l = FALSE, norm = FALSE, ...)

Arguments

x	Fitted "grpreg" model.
alpha	Controls alpha-blending. Default is alpha=1.
legend.loc	Where should the legend go? If left unspecified, no legend is drawn. See legend for details.
label	If TRUE, annotates the plot with text labels in the right margin describing which variable/group the corresponding line belongs to.
log.l	Should horizontal axis be on the log scale? Default is FALSE.
norm	If TRUE, plot the norm of each group, rather than the individual coefficients.
...	Other graphical parameters to plot, matlines, or legend

See Also

grpreg()

Examples

# Fit model to birthweight data
data(Birthwt)
X <- Birthwt$X
y <- Birthwt$bwt
group <- Birthwt$group
fit <- grpreg(X, y, group, penalty="grLasso")

# Plot (basic)
plot(fit)

# Plot group norms, with labels in right margin
plot(fit, norm=TRUE, label=TRUE)

# Plot (miscellaneous options)
myColors <- c("black", "red", "green", "blue", "yellow", "purple",
"orange", "brown")
plot(fit, legend.loc="topleft", col=myColors)
labs <- c("Mother's Age", "# Phys. visits", "Hypertension", "Mother's weight",
          "# Premature", "Race", "Smoking", "Uterine irritability")
plot(fit, legend.loc="topleft", lwd=6, alpha=0.5, legend=labs)
plot(fit, norm=TRUE, legend.loc="topleft", lwd=6, alpha=0.5, legend=labs)

grpreg documentation built on Sept. 11, 2024, 5:13 p.m.