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Prepare analysis data.table with standard column names

Source: R/utility.R
prep_data_table.Rd

Standardizes input column names to id, age, D, female, and Y; coerces types; validates basic conditions; and returns a keyed data.table ready for the estimators.

Usage

prep_data_table(
  data,
  Y_name = "Y",
  age_name = "age",
  D_name = "D",
  id_name = "id",
  female_name = "female"
)

Arguments

data

A data.frame or data.table.

Y_name

Character. Column in data holding the outcome. Default "Y".

age_name

Character. Column holding age. Default "age".

D_name

Character. Column holding the treatment group (e.g., age-at-treatment). Will be renamed to D. Default "D".

id_name

Character. Column holding the cluster identifier. Default "id".

female_name

Character. Column holding the binary female indicator (1=female). Default "female".

Value

A data.table with columns id, age, D, female, Y, plus a keyed obs_id = paste0(id, "@", age).