ctWideToLong: ctWideToLong Convert ctsem wide to long format

In ctsem: Continuous Time Structural Equation Modelling

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)

ctsem documentation built on Sept. 11, 2024, 9:06 p.m.