nima (version 0.3.0)

survPlot_gg: Kaplan-Meier Plot with ggplot2

Description

Produce a survival plot of a Kaplan-Meier estimator using ggplot2.

Usage

survPlot_gg(s, CI = "def", pltcens = TRUE, survcl = "gg.def",
  censcl = "red", lty = 1, ltci = 2, shape = 3, bw = FALSE,
  xlab = "Time", ylab = "Survival", main = "")

Arguments

s

Survival model object, generated by methods like Kaplan-Meier.

CI

Type of confidence interval for the survival object.

pltcens

Should the plot include the censored values?

survcl

Color for observations with outcomes of "survived".

censcl

Color for observations with outcomes of "censored".

lty

The number of survival curves to be generated from the model.

ltci

The number of lines to be generated for confidence intervals.

shape

The shapes of points plotted, passed to geom_point

bw

Boolean for desired background color in plots (black/white).

xlab

A label for the x-axis, defaults to "Time".

ylab

A label for the y-axis, defaults to "Survival".

main

A main label for the survival plot, no default.

Examples

# NOT RUN {
library(survival)
time <- c(5,6,8,3,22)
age <- c(46,35,30,30,36)
drug <- c(0,1,1,1,0)
censor <- c(1,0,1,1,1)
survdat <- as.data.frame(cbind(time, age, drug, censor))
s <- survfit(Surv(survdat$time, survdat$censor) ~ 1, conf.type="none")
survPlot_gg(s)
# }