Transform year_measured Variable Based on Clustered Conditions Within Waves

Usage

margot_censor(
  dt,
  cluster_id = "rel_num",
  id_var = "id",
  wave_var = "wave",
  condition_var = "rel_complete",
  condition_value = 0,
  year_measured_var = "year_measured"
)

Arguments

dt: A `data.frame` or `data.table` in long format containing repeated measures.
cluster_id: A string specifying the cluster identifier variable. Default is "rel_num".
id_var: A string specifying the individual identifier variable. Default is "id".
wave_var: A string specifying the variable indicating the wave. Default is "wave".
condition_var: A string specifying the condition variable. Default is "rel_complete".
condition_value: The value of `condition_var` that triggers transformation. Default is 0.
year_measured_var: A string specifying the `year_measured` variable. Default is "year_measured".

Value

A modified `data.table` with updated year_measured values based on the condition.