plot.gcdnet {gcdnet} | R Documentation |
Produces a coefficient profile plot of the coefficient paths for a
fitted gcdnet
object. This function is modified based on the plot
function from the glmnet
package.
## S3 method for class 'gcdnet' plot(x, xvar = c("norm", "lambda"), color = FALSE, label = FALSE, ...)
x |
fitted |
xvar |
what is on the X-axis. |
color |
if |
label |
if |
... |
other graphical parameters to plot |
A coefficient profile plot is produced.
Yi Yang, Yuwen Gu and Hui Zou
Maintainer: Yi Yang <yi.yang6@mcgill.ca>
Yang, Y. and Zou, H. (2012), "An Efficient Algorithm for Computing The HHSVM and Its Generalizations," Journal of Computational and Graphical Statistics, 22, 396-415.
BugReport: https://github.com/emeryyi/fastcox.git
Friedman, J., Hastie, T., and Tibshirani, R. (2010), "Regularization paths for generalized
linear models via coordinate descent," Journal of Statistical Software, 33, 1.
http://www.jstatsoft.org/v33/i01/
data(FHT) m1 = gcdnet(x=FHT$x,y=FHT$y) par(mfrow=c(1,3)) plot(m1) # plots against the L1-norm of the coefficients plot(m1,xvar="lambda",label=TRUE) # plots against the log-lambda sequence plot(m1,color=TRUE)