eha (version 1.2-18)

plot.Surv: Plots of survivor functions.

Description

Kaplan-Meier estimates. If only one curve, confidence limits according to Greenwood's formula are drawn.

Usage

plot.Surv(x, strata=NULL, fn = c("cum", "surv", "log", "loglog"),
limits=TRUE, conf=0.95, main=NULL, xlab=NULL, ylab=NULL,
xlim=NULL, ylim=NULL, lty.con=NULL, col.con = NULL, x.axis = TRUE, ...)

Arguments

x

A Surv object.

strata

Defines a partition of the data. One survivor function for each level of strata is drawn.

fn

Which type of plot?

limits

If TRUE, and if the number of curves is one, confidence limits are drawn.

conf

The confidence level for the confidence limits.

main

A heading for the plot.

xlab

Label on the x axis.

ylab

Label on the y-axis.

xlim

Horizontal plot limits. If NULL, calculated by the function.

ylim

Vertical plot limits. If NULL, set to c(0, 1)

lty.con

Line type of confidence bands.

col.con

Color of confidence bands.

x.axis

Should abline(h=0) be drawn?

...

Anything that plot likes...

Value

• No value is returned.

Details

Left truncation is allowed. Note, though, that this fact may result in strange estimated curves due to lack of data in certain (low) ages.

Examples

time0 <- numeric(50)
group <- c(rep(0, 25), rep(1, 25))
time1 <- rexp( 50, exp(group) )
event <- rep(1, 50)
plot.Surv(Surv(time0, time1, event), strata = group)