plot.Surv {eha} | R Documentation |
Kaplan-Meier estimates. If only one curve, confidence limits according to Greenwood's formula are drawn.
plot.Surv(x, strata=rep(1, length(exit)), limits=FALSE, conf=0.95, xlim = NULL, ylim = NULL, main="Survivor function(s)", xlab="Duration", ylab="Remaining fraction", ...)
x |
A Surv object. |
strata |
Defines a partition of the data. One survivor function
for each level of strata is drawn. |
limits |
If TRUE, and if the number of curves is one, confidence limits are drawn. |
conf |
The confidence level for the confidence limits. |
xlim |
Horizontal plot limits. If NULL, calculated by the function. |
ylim |
Vertical plot limits. If NULL, set to c(0, 1) |
main |
A heading for the plot. |
xlab |
Label on the x axis. |
ylab |
Label on the y-axis. |
... |
Anything that plot likes... |
Left truncation is allowed. Note, though, that this fact may result in strange estimated curves due to lack of data in certain (low) ages.
No value is returned.
Göran Broström
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)