uniformize.data: Standardize data format

Description

Checks the required preconditions of the data and possibly restructures the data.

uniformize.data(
  data,
  admin = FALSE,
  conf = FALSE,
  comp.risks = FALSE,
  Zbin = NULL,
  Wbin = NULL
)

Returns the uniformized data set.

data: A data frame that should contain columns named Y and delta (unless comp.risks = TRUE, see later).
admin: Boolean value indicating whether the provided data frame contains administrative (i.e. independent) censoring on top of the dependent censoring (in the column named delta). The default is admin = FALSE.
conf: Boolean value indicating whether the provided data frame contains a confounded variable and a corresponding instrument. If cond = TRUE, the provided data frame should contain columns named Z and W, corresponding to the confounded variable and instrument, respectively. Moreover, Zbin and Wbin should be specified. The default value is conf = FALSE.
comp.risks: Boolean value indicating whether the provided data frame contains competing risks. If comp.risks = TRUE, the given data frame should contain the columns delta1, delta2, etc., corresponding to the indicators I(Y = T1), I(Y = T2), etc. respectively. The default is comp.risks = FALSE.
Zbin: Boolean or integer value (0, 1) indicating whether the confounded variable is binary. Zbin = TRUE or Zbin = 1 means that Z is binary. Zbin = FALSE or Zbin = 0 means that Z is continuous.
Wbin: Boolean or integer value (0, 1) indicating whether the instrument is binary. Wbin = TRUE or Wbin = 1 means that W is binary. Wbin = FALSE or Wbin = 0 means that W is continuous.