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pec (version 1.0.7)

plot.pec: Plotting prediction error curves

Description

Ploting prediction error curves for one or more prediction models.

Usage

## S3 method for class 'pec':
plot(x,
	 what="PredErr",
	 who,
	 crps=FALSE,
	 xlim=c(x$start,x$maxtime),
	 ylim=c(0,0.3),
	 xlab="Time",
	 ylab,
	 lwd.lines=2,
	 axes=TRUE,
	 col,
	 lty,
	 lines.type,
	 smooth=FALSE,
	 add.refline=FALSE,
	 add=FALSE,
	 legend=ifelse(add,FALSE,TRUE),
	 legend.text,
	 legend.args=list(),
	 specials=NULL,
	 ...)

Arguments

x
object of class pec obtained with function pec
what
the name of the entry in x Defauls to PredErr Other choices are AppErr, OutOfBagErr, NoInfErr, overfit
who
Specifies models in x$models for which the prediction error curves are drawn. Defaults to all models.
crps
Logical. If TRUE apply crps before plotting the prediction error curve.
xlim
Plotting range on the x-axis.
ylim
Plotting range on the y-axis
xlab
Label given to the x-axis.
ylab
Label given to the y-axis.
lwd.lines
Extra parameter passed to function lines.
axes
if FALSE no axes are drawn
col
vector of colors given to the curves of models in the order determined by who
lty
vector of lty's given to the curves of models in the order determined by who
lines.type
passed to lines
smooth
if TRUE the plotting values are smoothed with the function smooth kind="3R"
add.refline
if TRUE a dotted horizontal line is drawn as a symbol for the naive rule that predicts probability .5 at all cutpoints (i.e. time points in survival analysis).
add
TRUE means that only lines are added to an existing device
legend
TRUE means draw the legend
legend.text
legend text in the order determined by who
legend.args
a list with arguments that are passed to legend.
specials
Experimental
...
extra arguments that are passed to plot.

See Also

pec