km {event} | R Documentation |
km
calculates the Kaplan-Meier estimates for survival.
To plot the survivor curve, use plot()
; for the empirical
intensity curve, use plot.intensity()
; for diagnostic curves to
choose a distribution to which the data might belong, use plot.dist()
.
km(times, censor, group=1, freq=1, cdf=FALSE) plot.km(z, add=FALSE, xlim, ylim=c(0,1), main=NULL, xlab="Time", ylab=NULL, lty=NULL, ...) plot.intensity.km(z, add=FALSE, xlab="Time", ylab="Intensity", type="l", lty=NULL, ...) plot.dist.km(z)
times |
Vector of times to events or a list of vectors of such times for different individuals. |
censor |
Vector of censoring indicators corresponding to the vector of times or to the last time in each vector of a list. |
group |
Vector indicating to which group each individual belongs. |
freq |
Vector of frequencies for grouped data. |
cdf |
If TRUE, calculate the cdf instead of the survivor curve. |
z |
An object produced by km . |
A matrix with class, km
, containing the Kaplan-Meier estimates
is returned.
J.K. Lindsey
surv <- rgamma(40,2,scale=5) cens <- rbinom(40,1,0.9) treat <- gl(2,20) plot(km(surv, cens, group=treat), main="",xlab="Months", ylab="Probability of deterioration") plot.dist(km(surv, cens, group=treat)) plot.intensity(km(surv, cens, group=treat),ylab="Risk of deterioration")