ctLongToWide Restructures time series / panel data from long format to wide format for ctsem analysis
ctLongToWide Restructures time series / panel data from long format to wide format for ctsem analysis
ctLongToWide( datalong, id, time, manifestNames, TDpredNames = NULL, TIpredNames = NULL )
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 |
Time column must be numeric
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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.