ctLongToWide: ctLongToWide Restructures time series / panel data from long...

In ctsem: Continuous Time Structural Equation Modelling

ctLongToWide Restructures time series / panel data from long format to wide format for ctsem analysis

Description

ctLongToWide Restructures time series / panel data from long format to wide format for ctsem analysis

Usage

ctLongToWide(
  datalong,
  id,
  time,
  manifestNames,
  TDpredNames = NULL,
  TIpredNames = NULL
)

Arguments

datalong	dataset in long format, including subject/id column, observation time (or change in observation time, with 0 for first observation) column, indicator (manifest / observed) variables, any time dependent predictors, and any time independent predictors.
id	character string giving column name of the subject/id column
time	character string giving column name of the time columnn
manifestNames	vector of character strings giving column names of manifest indicator variables
TDpredNames	vector of character strings giving column names of time dependent predictor variables
TIpredNames	vector of character strings giving column names of time independent predictor variables

Details

Time column must be numeric

See Also

ctIntervalise

Examples

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

#Then convert the absolute times to intervals, using the Tpoints reported from the prior step.
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") )
 
print(wide)

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