plot.glmnet {glmnet} | R Documentation |
Produces a coefficient profile plot of the coefficient paths for a fitted
"glmnet"
object.
## S3 method for class 'glmnet'
plot(x, xvar = c("norm", "lambda", "dev"), label = FALSE, ...)
## S3 method for class 'mrelnet'
plot(
x,
xvar = c("norm", "lambda", "dev"),
label = FALSE,
type.coef = c("coef", "2norm"),
...
)
## S3 method for class 'multnet'
plot(
x,
xvar = c("norm", "lambda", "dev"),
label = FALSE,
type.coef = c("coef", "2norm"),
...
)
## S3 method for class 'relaxed'
plot(x, xvar = c("lambda", "dev"), label = FALSE, gamma = 1, ...)
x |
fitted |
xvar |
What is on the X-axis. |
label |
If |
... |
Other graphical parameters to plot |
type.coef |
If |
gamma |
Value of the mixing parameter for a "relaxed" fit |
A coefficient profile plot is produced. If x
is a multinomial model,
a coefficient plot is produced for each class.
Jerome Friedman, Trevor Hastie and Rob Tibshirani
Maintainer:
Trevor Hastie hastie@stanford.edu
Friedman, J., Hastie, T. and Tibshirani, R. (2008) Regularization Paths for Generalized Linear Models via Coordinate Descent
glmnet
, and print
, predict
and coef
methods.
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)