cut.data.dt.into.conditions: Assigns control, transition, and intervention condition...
In mattmoo/SteppedWedgeAnalysis: Simulation and Analysis of Stepped Wedge Data

Description Usage Arguments Value

Assigns control, transition, and intervention condition column on the basis of experiment info. Can optionally include transition period data points.

## S3 method for class 'data.dt.into.conditions'
cut(
  data.dt,
  cluster.dt,
  sequence.dt,
  exclude.transition = T,
  cut.labels = c("control", "transition", "intervention")
)

`data.dt`	data.table with columns participant, cluster, time, and outcome. Outcome should be continuous.
`cluster.dt`	data.table with the correspondence between cluster and sequence, with columns cluster and sequence.
`sequence.dt`	data.table with information about the sequences, with columns sequence, transition.time, and intervention.time.
`exclude.transition`	boolean, should the result exclude data points from the transition period? (Default = T)
`cut.labels`	Character vector of labels for control, transition, and intervention periods. Probably don't change this (Default: c('control','transition','intervention'))