| km {EMA} | R Documentation |
Computes and draw estimates of survival curves for censored data using Kaplan-Meier's method. In case of >=2 survival curves, use logrank test to assess the difference between the survival curves. Missing values are removed
km(time, status, group = NULL, xlab="Time (years)", ylab="", ...)
time |
numeric, this is the follow up time (used with right censored data) |
status |
The status indicator, normally 0=alive, 1=dead (numeric). Other choices are TRUE/FALSE (TRUE = death) or 1/2 (2=death) |
group |
indicates the group to which is assigned each observation (factor). For one groupe only (no comparison), group is set to null (default) |
xlab |
(optional): a character string, xlabel of the Kaplan Meier's plot |
ylab |
(optional): a character string, ylabel of the Kaplan Meier's plot |
... |
(optional): Additional graphical parameters |
A list with
fit.km |
results provided by Kaplan Meier analysis. See the R help on survfit for details |
lr |
results provided by logrank analysis. See the R help on survdiff for details |
p.lr |
pvalue of the logrank test |
EMA group
time<-aml$time status<-aml$status # One group res<-km(time,status) res$fit.km # Two groups group<-aml$x res<-km(time,status,group) res<-km(time,status,group,title="Kaplan Meier curve") res<-km(time,status,group,title="Kaplan Meier curve",pdfname="My survival curve") res<-km(time,status,group,pdfname="My survival curve",pdfwidth=11.69,pdfheight=8.27) res$fit.km names(res$fit.km) res$lr names(res$lr) res$p.lr