# plot_glmnet

##### Plot a glmnet model

Plot the coefficient paths of a `glmnet`

model.

An enhanced version of `plot.glmnet`

.

##### Usage

```
plot_glmnet(x = stop("no 'x' argument"),
xvar = c("rlambda", "lambda", "norm", "dev"),
label = 10, nresponse = NA, grid.col = NA, s = NA, ...)
```

##### Arguments

- x
The

`glmnet`

model.- xvar
What gets plotted along the x axis. One of:

(default) decreasing log lambda (lambda is the glmnet penalty)`"rlambda"`

log lambda`"lambda"`

L1-norm of the coefficients`"norm"`

percent deviance explained The default`"dev"`

`xvar`

differs from`plot.glmnet`

to allow`s`

to be plotted when this function is invoked by`plotres`

.- label
Default

`10`

. Number of variable names displayed on the right of the plot. One of:display no variables`FALSE`

display all variables`TRUE`

(default) number of variables to display (default is 10)`integer`

- nresponse
Which response to plot for multiple response models.

- grid.col
Default

`NA`

. Color of the optional grid, for example`grid.col="lightgray"`

.- s
For use by

`plotres`

. The x position of the gray vertical line indicating the lambda`s`

passed by`plotres`

to`predict.glmnet`

to calculate the residuals. Plotres defaults to`s=0`

.- …
Dot arguments are passed internally to

`matplot`

.Use

`col`

to change the color of curves; for example`col=1:4`

. The six default colors are intended to be distinguishable yet harmonious (to my eye at least), with adjacent colors as different as easily possible.

##### Note

**Limitations**

For multiple response models use the `nresponse`

argument to
specify which response should be plotted.
(Currently each response must be plotted one by one.)

The `type.coef`

argument of `plot.glmnet`

is
currently not supported.

Currently `xvar="norm"`

is not supported for multiple
response models (you will get an error message).

**Interaction with plotres**

When invoking this function via `plotres`

, prefix any
argument of `plotres`

with `w1.`

to tell `plotres`

to
pass the argument to this function.
For example give `w1.col=1:4`

to `plotres`

(plain
`col=1:4`

in this context gets passed to the residual plots).

**Acknowledgments**

This function is based on `plot.glmnet`

in the
`glmnet`

package authored by Jerome Friedman,
Trevor Hastie, and Rob Tibshirani.

##### See Also

Chapter 6 in plotres vignette discusses this function.

##### Examples

```
# NOT RUN {
if (require(glmnet)) {
x <- matrix(rnorm(100 * 10), 100, 10) # n=100 p=10
y <- x[,1] + x[,2] + 2 * rnorm(100) # y depends only on x[,1] and x[,2]
mod <- glmnet(x, y)
plot_glmnet(mod)
# plotres(mod) # plot the residuals
}
# }
```

*Documentation reproduced from package plotmo, version 3.5.5, License: GPL-3*