plot.survAUC: Plot method for survAUC and survErr Objects

In survAUC: Estimators of Prediction Accuracy for Time-to-Event Data

Plot method for survAUC and survErr Objects

Description

Plot a survAUC object generated by the functions AUC.uno, AUC.sh, AUC.cd, AUC.hc and predErr.

Usage

## S3 method for class 'survAUC'
plot(x, col="red", type="l", ylim=c(0,1),
        xlab="Time",ylab="AUC", 
        main="Time-dependent AUC", add=FALSE, ...)

## S3 method for class 'survErr'
plot(x, col="red", type="l", ylim=c(0,1),
        xlab="Time",ylab="Prediction error", 
        main="Time-dependent Prediction Error", add=FALSE, ...)

Arguments

x	An object of class survAUC.
col	The color used to draw the AUC curve.
type	The type of plot to be drawn. See argument 'type' of the plot function.
ylim	The y limits of the plot.
xlab	The title of the x axis. See title.
ylab	The title of the y axis. See title.
main	The main title of the plot. See title.
add	A logical specifying whether the AUC-Curve should be added to an already existing plot.
...	Graphics parameters that can be passed to 'plot'.

See Also

AUC.sh, AUC.cd, AUC.hc, AUC.uno, predErr

Examples

data(cancer,package="survival")
TR <- ovarian[1:16,]
TE <- ovarian[17:26,]
train.fit  <- survival::coxph(survival::Surv(futime, fustat) ~ age,
                    x=TRUE, y=TRUE, method="breslow", data=TR)

lp <- predict(train.fit)
lpnew <- predict(train.fit, newdata=TE)
Surv.rsp <- survival::Surv(TR$futime, TR$fustat)
Surv.rsp.new <- survival::Surv(TE$futime, TE$fustat)
times <- seq(10, 600, 10)                  

AUC_sh <- AUC.sh(Surv.rsp, Surv.rsp.new, lp, lpnew, times)
plot(AUC_sh)
abline(h = 0.5)

BrierScore <- predErr(Surv.rsp, Surv.rsp.new, lp, lpnew, times, 
                      type = "brier", int.type = "weighted")
plot(BrierScore)
abline(h = 0.25)

survAUC documentation built on March 31, 2023, 11:50 p.m.