plot.pec {pec}R Documentation

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.

Author(s)

Thomas Gerds tag@biostat.ku.dk

See Also

pec


[Package pec version 1.0.7 Index]