# plot.glmnet

0th

Percentile

##### plot coefficients from a "glmnet" object

Produces a coefficient profile plot of the coefficient paths for a fitted "glmnet" object.

Keywords
models, regression
##### Usage
## S3 method for class 'glmnet':
plot(x, xvar = c("norm", "lambda", "dev"), label = FALSE, ...)
## S3 method for class 'multnet':
plot(x, xvar = c("norm", "lambda", "dev"), label = FALSE,type.coef=c("coef","2norm"), ...)
## S3 method for class 'mrelnet':
plot(x, xvar = c("norm", "lambda", "dev"), label = FALSE,type.coef=c("coef","2norm"), ...)
##### Arguments
x
fitted "glmnet" model
xvar
What is on the X-axis. "norm" plots against the L1-norm of the coefficients, "lambda" against the log-lambda sequence, and "dev" against the percent deviance explained.
label
If TRUE, label the curves with variable sequence numbers.
type.coef
If type.coef="2norm" then a single curve per variable, else if type.coef="coef", a coefficient plot per response
...
Other graphical parameters to plot
##### Details

A coefficient profile plot is produced. If x is a multinomial model, a coefficient plot is produced for each class.

##### References

Friedman, J., Hastie, T. and Tibshirani, R. (2008) Regularization Paths for Generalized Linear Models via Coordinate Descent

glmnet, and print, predict and coef methods.

• plot.glmnet
• plot.multnet
• plot.mrelnet
##### Examples
x=matrix(rnorm(100*20),100,20)
y=rnorm(100)
g2=sample(1:2,100,replace=TRUE)
g4=sample(1:4,100,replace=TRUE)
fit1=glmnet(x,y)
plot(fit1)
plot(fit1,xvar="lambda",label=TRUE)
fit3=glmnet(x,g4,family="multinomial")
plot(fit3,pch=19)
Documentation reproduced from package glmnet, version 1.9-3, License: GPL-2

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