drawSurv: Draw Kaplan-Meier Survival Plot with an object of class 'gam'

In cardiomoon/ggGam: Make prediction and diagnostic plots of an object of class `gam` generated by the gam function of the `mgcv` package

Description

Draw Kaplan-Meier Survival Plot with an object of class 'gam'

Usage

drawSurv(model, data, np = 100, timevar = "time", until = NULL, id = list())

Arguments

model	a fitted gam object as produced by gam()
data	A data frame or list containing the values of the model covariates at which predictions are required
np	Numeric Number of time intervals
timevar	character Name of variable containing time
until	Maximum value of time
id	Optional labels of preset values

Value

A ggplot

Examples

require(mgcv)
data(pbc,package="survival")
pbc$status1 <- as.numeric(pbc$status==2)
pbc$stage <- factor(pbc$stage)
model = gam(time ~ trt +sex + s(sqrt(protime))+s(platelet)+ s(age)+s(bili)+s(albumin),
   weights=status1, family=cox.ph, data=pbc, method="REML")
dfSex=averageData(pbc,list(sex=c("m","f")))
drawSurv(model,data=dfSex,id=list(sex=c("m","f")))
dfBili=averageData(pbc,list(bili=c(1,10)))
drawSurv(model,data=dfBili,id=list(bili=c(1,10)))

cardiomoon/ggGam documentation built on May 2, 2020, 9:58 a.m.