ggcmprsk2: Compare cumulative incidence to th Kaplan-Meier estimate

In autoReg: Automatic Linear and Logistic Regression and Survival Analysis

Compare cumulative incidence to th Kaplan-Meier estimate

Description

Compare cumulative incidence to th Kaplan-Meier estimate

Usage

ggcmprsk2(
  x,
  data,
  id = c("disease", "other"),
  se = FALSE,
  xpos = c(2, 2),
  ypos = c(0.25, 0.7),
  ylabs = NULL,
  xlab = NULL,
  label = NULL,
  plot = TRUE
)

Arguments

x	A formula as time+status~1
data	A data.frame
id	Character vector of length2
se	logical whether or not show confidence interval
xpos	numeric x-axis position of label
ypos	numeric y-axis position of label
ylabs	string vector of length 2. y axis labels
xlab	A character. The x-axis label
label	string vector of length 2. Label names
plot	logical Whether or not print plot

Value

A list containing the following components:

df

A long-form data.frame consist of time, est, upper,lower, id, method

df3

A data.frame for label consist of x, y, label, id

p

A ggplot object

Examples

require(dplyr)
data(prostateSurvival,package="asaur")
prostateHighRisk <- prostateSurvival %>%
  filter(grade=="poor" & stage=="T2",ageGroup=="80+")
prostateHighRisk$years=prostateHighRisk$survTime/12
ggcmprsk2(years+status~1,data=prostateHighRisk,
  id=c("prostate cancer","other causes"))

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