expectedPlot: Draw an adjusted Plot for a numeric predictor

In autoReg: Automatic Linear and Logistic Regression and Survival Analysis

Draw an adjusted Plot for a numeric predictor

Description

Select cutpoint for a numeric predictor with maxstat.test() and draw survival plot with this cutpoint

Usage

expectedPlot(
  fit,
  xname = NULL,
  no = 2,
  maxy.lev = 5,
  median = TRUE,
  mark.time = FALSE,
  se = FALSE,
  type = "ggplot",
  ...
)

Arguments

fit	An object of class "coxph"
xname	Character Name of explanatory variable to plot
no	integer Number of groups to be made
maxy.lev	Integer Maximum unique length of a numeric variable to be treated as categorical variables
median	Logical
mark.time	logical Whether or not mark time
se	logical Whether or not show se
type	Character "plot" or "ggplot"
...	further arguments to be passed to plot.survfit

Value

No return value, called for side effects

Examples

library(survival)
data(cancer,package="survival")
fit=coxph(Surv(time,status)~age+sex,data =colon)
expectedPlot(fit,xname="age")
fit=coxph(Surv(time,status)~rx+logWBC,data=anderson)
expectedPlot(fit,xname="logWBC",no=3)

autoReg documentation built on Nov. 14, 2023, 9:07 a.m.