count.history {mets}

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)