ctDiscretiseData {ctsem} | R Documentation |
Discretise long format continuous time (ctsem) data to specific timestep.
Description
Extends and rounds timing information so equal intervals, according to specified timestep, are achieved. NA's are inserted in other columns as necessary, any columns specified by TDpredNames or TIpredNames have zeroes rather than NA's inserted (because some estimation routines do not tolerate NA's in covariates).
Usage
ctDiscretiseData(
dlong,
timestep,
timecol = "time",
idcol = "id",
TDpredNames = NULL,
TIpredNames = NULL
)
Arguments
dlong |
Long format data |
timestep |
Positive real value to discretise |
timecol |
Name of column containing absolute (not intervals) time information. |
idcol |
Name of column containing subject id variable. |
TDpredNames |
Vector of column names of any time dependent predictors |
TIpredNames |
Vector of column names of any time independent predictors |
Value
long format ctsem data.
Examples
long <- ctDiscretiseData(dlong=ctstantestdat, timestep = .1,
TDpredNames=c('TD1'),TIpredNames=c('TI1','TI2','TI3'))
[Package ctsem version 3.10.0 Index]