elasticnet: plot.enet – R documentation

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plot.enet

Plot method for enet objects

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

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

`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.

NULL

Hui Zou and Trevor Hastie

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

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

Elastic-Net for Sparse Estimation and Sparse PCA

v1.3

GPL (>= 2)

Authors

Hui Zou <zouxx019@umn.edu> and Trevor Hastie <hastie@stanford.edu>

Initial release

2020-05-15