EventSplit: Event split with two time-scales, time and gaptime

In mets: Analysis of Multivariate Event Times

Event split with two time-scales, time and gaptime

Description

splits after cut times for the two time-scales.

Usage

EventSplit(
  data,
  time = "time",
  status = "status",
  entry = "start",
  cuts = "cuts",
  name.id = "id",
  gaptime = NULL,
  gaptime.entry = NULL,
  cuttime = c("time", "gaptime"),
  cens.code = 0,
  order.id = TRUE
)

Arguments

data	data to be split
time	time variable.
status	status variable.
entry	name of entry variable.
cuts	cuts variable or numeric cut (only one value)
name.id	name of id variable.
gaptime	gaptime variable.
gaptime.entry	name of entry variable for gaptime.
cuttime	to cut after time or gaptime
cens.code	code for the censoring.
order.id	order data after id and start.

Author(s)

Thomas Scheike

Examples

rr  <- data.frame(time=c(500,1000),start=c(0,500),status=c(1,1),id=c(1,1))
rr$gaptime <-  rr$time-rr$start
rr$gapstart <- 0

rr1 <- EventSplit(rr,cuts=600,cuttime="time",   gaptime="gaptime",gaptime.entry="gapstart")
rr2 <- EventSplit(rr1,cuts=100,cuttime="gaptime",gaptime="gaptime",gaptime.entry="gapstart")

dlist(rr1,start-time+status+gapstart+gaptime~id)
dlist(rr2,start-time+status+gapstart+gaptime~id)

mets documentation built on Jan. 17, 2023, 5:12 p.m.