count.history: Counts the number of previous events of two types for...

In mets: Analysis of Multivariate Event Times

Counts the number of previous events of two types for recurrent events processes

Description

Counts the number of previous events of two types for recurrent events processes

Usage

count.history(
  data,
  status = "status",
  id = "id",
  types = 1:2,
  names.count = "Count",
  lag = TRUE,
  multitype = FALSE
)

Arguments

data	data-frame
status	name of status
id	id
types	types of the events (code) related to status
names.count	name of Counts, for example Count1 Count2 when types=c(1,2)
lag	if true counts previously observed, and if lag=FALSE counts up to know
multitype	if multitype then count number of types also when types=c(1,2) for example

Author(s)

Thomas Scheike

Examples

########################################
## getting some rates to mimick 
########################################

data(base1cumhaz)
data(base4cumhaz)
data(drcumhaz)
dr <- drcumhaz
base1 <- base1cumhaz
base4 <- base4cumhaz

######################################################################
### simulating simple model that mimicks data 
### now with two event types and second type has same rate as death rate
######################################################################

rr <- simRecurrentII(1000,base1,base4,death.cumhaz=dr)
rr <-  count.history(rr)
dtable(rr,~"Count*"+status,level=1)

mets documentation built on May 29, 2024, 3:51 a.m.