Create Publication Ready Kaplan-Meier Plots

Incorporate various statistics and layout customization options to enhance the efficiency and adaptability of the Kaplan-Meier plots.


survSAKK

Overview

The survSAKK R package provides the surv.plot() function, facilitating Kaplan-Meier survival analysis. Designed with user-friendliness and efficiency in mind. Offering a robust tool for analysing survival data. It utilises the functionalites of survival::survfit().

Installation

Install the current version of survSAKK with:

# install.packages("devtools")
devtools::install_github("SAKK-Statistics/survSAKK",
                         build_vignettes = TRUE,
                         force = TRUE)

Usage

# Load required library
library(survSAKK)
library(survival)

# Fit survival object 
fit <- survfit(Surv(lung$time/365.25*12, status) ~ sex, data = lung)

# Generate surival plot
surv.plot(fit = fit, 
          time.unit = "month",
          legend.name =  c("Male", "Female"))

Getting help

Documentation

# R Documentation
## survSAKK: Create publication ready Kaplan-Meier plot
help("survSAKK-package")

## Publication Ready Kaplan-Meier Plot
help("surv.plot")

Vignette

Webpage of the vignette: survSAKK

# Vignette
vignette("surv.plot", package = "survSAKK")

pages-build-deployment codecovCRANstatus

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("survSAKK")

1.3.3 by Charlotte Micheloud, 9 months ago


https://sakk-statistics.github.io/survSAKK/


Report a bug at https://github.com/SAKK-Statistics/survSAKK/issues


Browse source code at https://github.com/cran/survSAKK


Authors: Vithersan Somasundaram [aut] , Charlotte Micheloud [cre, ctb] , Katrin Gobat [ctb] , Stefanie Hayoz [ctb] , SAKK , CC [cph, fnd] , SCTO , Statistics [fnd]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports graphics, grDevices, survival

Suggests knitr, rmarkdown, testthat


See at CRAN