km(event) | R Documentation |
km
calculates the Kaplan-Meier estimates for survival.
To plot the survival curve, use plot(); for the empirical hazard curve, use plot.hazard(); for diagnostic curves to choose a distribution to which the data might belong, use plot.dist().
km(times, censor, group=1, freq=1, cdf=F)
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 survival curve. |
A matrix with class, km, containing the Kaplan-Meier estimates is returned.
J.K. Lindsey
surv <- rgamma(40,2,5) 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.hazard(km(surv, cens, group=treat),ylab="Risk of deterioration")