residualPlot {autoReg} | R Documentation |
Draw a residual plot with an object of class coxph
Description
Draw a residual plot with an object of class coxph
Usage
residualPlot(
fit,
type = "martingale",
vars = NULL,
ncol = 2,
show.point = TRUE,
se = TRUE,
topn = 5,
labelsize = 4
)
Arguments
fit |
An object of class coxph or survreg |
type |
character One of the c("martingale","deviance","score","schoenfeld", "dfbeta","dfbetas","scaledsch","partial"). Default value is "martingale". |
vars |
character Names of variables to plot. default value is NULL |
ncol |
numeric number of columns |
show.point |
logical Whether or not show point |
se |
logical Whether or not show se |
topn |
numeric number of data to be labelled |
labelsize |
numeric size of label |
Value
A patchwork object
Examples
require(survival)
data(cancer)
fit=coxph(Surv(time,status==2)~log(bili)+age+cluster(edema),data=pbc)
residualPlot(fit)
residualPlot(fit,vars="age")
fit=coxph(Surv(time,status==2)~age,data=pbc)
residualPlot(fit)
residualPlot(fit,"partial")
fit=coxph(Surv(time,status)~rx+sex+logWBC,data=anderson)
residualPlot(fit,ncol=3)
## Not run:
data(pharmacoSmoking,package="asaur")
fit=coxph(Surv(ttr,relapse)~grp+employment+age,data=pharmacoSmoking)
residualPlot(fit)
residualPlot(fit,var="age")
residualPlot(fit,type="dfbeta")
residualPlot(fit,type="dfbeta",var="age")
residualPlot(fit,type="dfbeta",var="employment")
residualPlot(fit,type="dfbeta",var="employmentother")
pharmacoSmoking$ttr[pharmacoSmoking$ttr==0]=0.5
fit=survreg(Surv(ttr,relapse)~grp+age+employment,data=pharmacoSmoking,dist="weibull")
residualPlot(fit,type="response")
residualPlot(fit,type="deviance")
residualPlot(fit,type="dfbeta",vars="age")
fit=survreg(Surv(time,status)~ph.ecog+sex*age,data=lung,dist="weibull")
residualPlot(fit,"dfbeta")
residualPlot(fit,"deviance")
## End(Not run)
[Package autoReg version 0.3.3 Index]