Martingale residuals of a Cox model

Description

Plots martingale residuals of a Cox model against fitted values, to check for log-linearity of covariates.

Usage

cox.resid(model)

Arguments

Author(s)

Maxime Herv<c3><a9> <mx.herve@gmail.com>, based on an idea of John Fox.

References

Fox, J. 2002 Cox Proportional-Hazards Regression for Survival Data.

See Also

coxph

Examples

# 'kidney' dataset of package 'survival'
require(survival)
data(kidney)
model <- coxph(Surv(time,status)~age+factor(sex),data=kidney)
cox.resid(model)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(RVAideMemoire)
*** Package RVAideMemoire v 0.9-56 ***
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/RVAideMemoire/cox.resid.Rd_%03d_medium.png", width=480, height=480)
> ### Name: cox.resid
> ### Title: Martingale residuals of a Cox model
> ### Aliases: cox.resid
> 
> ### ** Examples
> 
> # 'kidney' dataset of package 'survival'
> require(survival)
Loading required package: survival
> data(kidney)
> model <- coxph(Surv(time,status)~age+factor(sex),data=kidney)
> cox.resid(model)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>