epade (version 0.2.2)

KM.plot.ade: Kaplan-Meier curves

Description

plot Kaplan-Meier survival curves

Usage

KM.plot.ade(time, event, group=NULL, data=NULL, vnames=NULL,
            main="Kaplan-Meier Plot", xlab="Follow-Up Time",
            ylab="Cumulative Survival", xlim=NULL, ylim=NULL, xticks=NULL,
            legendon='bottomleft', lwd=2, lty=1,
            col=NULL, tcol=NULL, bgcol=NULL, pdigs=4,
            CI=FALSE, ycut=TRUE, zenspoints=FALSE, test=FALSE, wall=0)

Arguments

time

• a numeric vector for time

a character string with the name of time variable in the data.frame

item

• event
• a character string with the name of event variable in the data.frame
• group
• a character string with the name of the group variable in the data.frame
• data
• vnames
• main
• xlab
• ylab
• xlim
• ylim
• xticks
• legendon
• "bottom"
• "bottomleft"
• "left"
• "topleft"
• "top"
• "topright"
• "right"
• "center"
• lwd
• lty
• col
• tcol
• bgcol
• pdigs
• CI
• ycut
• zenspoints
• test
• wall

itemize

• "bottomright"

Details

The p-value comes from a logrank test

Examples

times<-  sort(abs(rnorm(1000)))
events<- round(runif(1000))
groups<- round(runif(1000, 0, 3))
KM.plot.ade(times, events,  groups, wall=2)