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=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, ...)
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... |
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)