plot.cggd {cggd} | R Documentation |
Produce a plot of a cggd fit. The default is a complete coefficient path.
plot.cggd(x, steps=5, breaks = TRUE, first_k=1,last_k=Inf, xvar=c("step","t"),omit.zeros = TRUE, eps = 1e-10, ...)
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 |
NULL
Cun-Hui Zhang and Ofer Melnik
Cun-Hui Zhang (2007) "Continuous Generalized Gradient Descent" Journal of Computational and Graphical Statistics ; see also http://stat.rutgers.edu/~cunhui/software/CGGD.html.
data(housing) attach(housing) object <- cggd(x,y) plot(object) detach(housing)