plot.glmnetr {glmnetr}

Plot the relaxed lasso coefficients.

Description

Plot the relaxed lasso coefficients from either a glmnetr(), cv.glmnetr() or nested.glmnetr() output object. One may specify gam, single value for gamma. If gam is unspecified (NULL), then cv.glmnetr and nested.glmnetr() will use the gam which minimizes loss, and glmentr() will use gam=1.

Usage

## S3 method for class 'glmnetr'
plot(x, gam = NULL, lambda.lo = NULL, title = NULL, comment = TRUE, ...)

Arguments

x

Either a glmnetr, cv.glmnetr or a nested.glmnetr output object.

gam

A specific level of gamma for plotting. By default gamma.min from the deviance minimizing (lambda.min, gamma.min) pair will be used.

lambda.lo

A lower limit of lambda for plotting.

title

A title for the plot

comment

Default of TRUE to write to console information on lam and gam selected for output. FALSE will suppress this write to console.

...

Additional arguments passed to the plot function.

Value

This program returns a plot to the graphics window, and may provide some numerical information to the R Console. If the input object is from a nested.glmnetr or cv.glmnetr object, and gamma is not specified, then the gamma.min from the deviance minimizing (lambda.min, gamma.min) pair will be used, and the minimizing lambda.min will be indicated by a vertical line. Also, if one specifies gam=0, the lambda which minimizes deviance for the restricted set of models where gamma=0 will indicated by a vertical line.

See Also

plot.cv.glmnetr , plot.nested.glmnetr , glmnetr

Examples

set.seed(82545037)
sim.data=glmnetr.simdata(nrows=200, ncols=100, beta=NULL)
xs=sim.data$xs 
y_=sim.data$yt
event=sim.data$event
glmnetr.fit = glmnetr( xs, NULL, y_, event, family="cox")
plot(glmnetr.fit)