plot.enet: Plot method for enet objects

In elasticnet: Elastic-Net for Sparse Estimation and Sparse PCA

Description

Produce a plot of an enet fit. The default is a complete coefficient path.

Usage

## S3 method for class 'enet'
plot(x, xvar = c("fraction", "penalty", "L1norm", "step"),
use.color = FALSE, ...) 

Arguments

x	enet object
xvar	The type of x variable against which to plot. xvar=fraction plots agains the fraction of the L1 norm of the coefficient vector (default). xvar=penalty plots against the 1-norm penalty parameter. xvar=L1norm plots against the L1 norm of the coefficient vector. xvar=step plots against the LARS-EN step number.
use.color	a colorful plot?
...	Additonal arguments for generic plot.

Value

NULL

Author(s)

Hui Zou and Trevor Hastie

References

Zou and Hastie (2005) "Regularization and Variable Selection via the Elastic Net" Journal of the Royal Statistical Society, Series B,67,301-320.

Examples

data(diabetes)
attach(diabetes)
object <- enet(x,y,lambda=1)
par(mfrow=c(2,2))
plot(object)
plot(object,xvar="step")
detach(diabetes)

Example output

Loading required package: lars
Loaded lars 1.2

elasticnet documentation built on July 1, 2020, 11:48 p.m.