plot.gglasso {gglasso} | R Documentation |
Produces a coefficient profile plot of the coefficient paths for a
fitted gglasso
object.
## S3 method for class 'gglasso' plot(x, group = FALSE, log.l = TRUE, ...)
x |
fitted |
group |
what is on the Y-axis. Plot the norm of each group
if |
log.l |
what is on the X-axis. Plot against the log-lambda
sequence if |
... |
other graphical parameters to plot |
A coefficient profile plot is produced.
Yi Yang and Hui Zou
Maintainer: Yi Yang <yi.yang6@mcgill.ca>
Yang, Y. and Zou, H. (2015), “A Fast Unified Algorithm for Computing Group-Lasso Penalized Learning Problems,” Statistics and Computing. 25(6), 1129-1141.
BugReport: https://github.com/emeryyi/gglasso
# load gglasso library library(gglasso) # load data set data(bardet) # define group index group <- rep(1:20,each=5) # fit group lasso m1 <- gglasso(x=bardet$x,y=bardet$y,group=group,loss="ls") # make plots par(mfrow=c(1,3)) plot(m1) # plots the coefficients against the log-lambda sequence plot(m1,group=TRUE) # plots group norm against the log-lambda sequence plot(m1,log.l=FALSE) # plots against the lambda sequence