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 '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"), ...)
x |
fitted |
xvar |
What is on the X-axis. |
label |
If |
type.coef |
If |
... |
Other graphical parameters to plot |
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)