plot.cggd {cggd} | R Documentation

## Plot method for cggd objects

### Description

Produce a plot of a cggd fit. The default is a complete coefficient path.

### Usage

    plot.cggd(x, steps=5, breaks = TRUE, first_k=1,last_k=Inf, xvar=c("step","t"),omit.zeros = TRUE, eps = 1e-10, ...)

### Arguments

`x` | cggd object
`steps` | Number of steps to sample coefficients between each model iteration.
`breaks` | If `TRUE`, then vertical lines are drawn at each break point in the piecewise linear coefficient paths
`first_k` | The starting k, model iteration, to plot from.
`last_k` | The final k, model iteration, to plot from.
`xvar` | The type of x variable against which to plot. `xvar=step` plots against iteration steps of the model (default). `xvar=t` plots against the time along the coefficient path.
`omit.zeros` | When the number of variables is much greater than the number of observations, many coefficients will never be nonzero; this logical (default `TRUE`) avoids plotting these zero coefficents
`eps` | Definition of zero above, default is `1e-10`
`...` | Additonal arguments for generic plot. Can be used to set xlims, change colors, line widths, etc

### Value

NULL

### Author(s)

Cun-Hui Zhang and Ofer Melnik

### References

Cun-Hui Zhang (2007) "Continuous Generalized Gradient Descent" Journal of Computational and Graphical Statistics ; see also http://stat.rutgers.edu/~cunhui/software/CGGD.html.

### Examples

    data(housing)
    attach(housing)
    object <- cggd(x,y)
    plot(object)
    detach(housing)

[Package cggd version 0.8 Index]