ctsem (version 3.0.3)

ctLongToWide: 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

# NOT RUN {
#First load the long format data with absolute times
data('longexample')

#Then convert to wide format
wideexample <- ctLongToWide(datalong = longexample, id = "id", 
  time = "time", manifestNames = c("Y1", "Y2", "Y3"), 
  TDpredNames = "TD1", TIpredNames = c("TI1", "TI2"))

#Then convert the absolute times to intervals, using the Tpoints reported from the prior step.
wide <- ctIntervalise(datawide = wideexample, Tpoints = 4, n.manifest = 3, 
  n.TDpred = 1, n.TIpred = 2, manifestNames = c("Y1", "Y2", "Y3"), 
  TDpredNames = "TD1", TIpredNames = c("TI1", "TI2") )

# }