KMest: Kaplain-Meier estimates.

In reyesem/reyes482: Provide supplemental functionality for MA482/BE482

Description

Compute Kaplan-Meier (product limit) estimates for survival data. This is a wrapper to survfit in order to return a nicer set of data.

Usage

KMest(form, data, conflevel = 0.95)

Arguments

form	formula for describing a Surv object.
data	optional dataset where variables appearing in form should be located.
conflevel	scalar. Confidence level (default = 0.95)

Value

dataframe containing the survival estimates.

Examples

library(survival)
test1 <- list(time = c(4,3,1,1,2,2,3),
              status = c(1,1,1,0,1,1,0),
              x = c(0,2,1,1,1,0,0),
              sex = c(0,0,0,0,1,1,1))

fit <- KMest(Surv(time, status) ~ sex, data = test1)

reyesem/reyes482 documentation built on March 19, 2021, 8:59 p.m.