ctsem (version 3.10.2)

ctWideToLong: ctWideToLong Convert ctsem wide to long format

Description

ctWideToLong Convert ctsem wide to long format

Usage

ctWideToLong(
  datawide,
  Tpoints,
  n.manifest,
  n.TDpred = 0,
  n.TIpred = 0,
  manifestNames = "auto",
  TDpredNames = "auto",
  TIpredNames = "auto"
)

Arguments

datawide

ctsem wide format data

Tpoints

number of measurement occasions in data

n.manifest

number of manifest variables

n.TDpred

number of time dependent predictors

n.TIpred

number of time independent predictors

manifestNames

Character vector of manifest variable names.

TDpredNames

Character vector of time dependent predictor names.

TIpredNames

Character vector of time independent predictor names.

Details

Names must account for *all* the columns in the data - i.e. do not leave certain variables out just because you do not need them.

Examples

#create wide data
wideexample <- ctLongToWide(datalong = ctstantestdat, id = "id", 
time = "time", manifestNames = c("Y1", "Y2"), 
TDpredNames = "TD1", TIpredNames = c("TI1", "TI2","TI3"))

wide <- ctIntervalise(datawide = wideexample, Tpoints = 10, n.manifest = 2, 
n.TDpred = 1, n.TIpred = 3, manifestNames = c("Y1", "Y2"), 
TDpredNames = "TD1", TIpredNames = c("TI1", "TI2","TI3") )

 #Then convert to long format
 longexample <- ctWideToLong(datawide = wideexample, Tpoints=10, 
 n.manifest=2, manifestNames = c("Y1", "Y2"),
 n.TDpred=1, TDpredNames = "TD1", 
 n.TIpred=3, TIpredNames = c("TI1", "TI2","TI3"))

 #Then convert the time intervals to absolute time
 long <- ctDeintervalise(datalong = longexample, id='id', dT='dT')
 head(long,22)