plotKmHalfCL: Kaplan-Meier Estimates

In harrelfe/rreport: Research Reporting Package

Description

For two strata, estimates the standard error of the difference in two Kaplan-Meier estimates at each value of times, and plots half-width of confidence level for the difference, centered at the midpoint of the survival estimates.

Usage

  plotKmHalfCL(fit, times, fun = function(x) x, offset = 0,
    lwd = 0.5, lty = 1)

Arguments

fit	survfit object. See survfit.formula.
times	numeric vector. Time value for each record.
fun	function. Function to plot estimates.
offset	numeric. Offset value to apply to ‘x’ coordinate points.
lwd	numeric. The line width, passed to lines.
lty	numeric. The line type, passed to lines.

Details

details

Examples

set.seed(20)
time <- rep(365, 50)
event <- rbinom(50, 1, 1/3)
time[event == 1] <- sample(365, sum(event == 1), replace=TRUE)
trt <- sample(1:2, 50, replace=TRUE)
require('rms')
fit <- survfit.formula(Surv(time, event) ~ trt)
survplot.survfit(fit)
plotKmHalfCL(fit, time)

harrelfe/rreport documentation built on May 17, 2019, 2:48 p.m.