Add education disruption categories — add_loop_edu_disrupted

add_loop_edu_disrupted_d() adds the education disruption and binaries and add_loop_edu_disrupted_d_to_main() adds the education disruption summarised binaries and the category to the main dataset.

Usage

add_loop_edu_disrupted_d(
  df,
  occupation = "edu_disrupted_occupation",
  hazards = "edu_disrupted_hazards",
  displaced = "edu_disrupted_displaced",
  teacher = "edu_disrupted_teacher",
  levels = c("yes", "no", "dnk", "pnta"),
  ind_schooling_age_d = "edu_ind_schooling_age_d"
)

add_loop_edu_disrupted_d_to_main(
  main,
  loop,
  occupation_d = "edu_disrupted_occupation_d",
  hazards_d = "edu_disrupted_hazards_d",
  displaced_d = "edu_disrupted_displaced_d",
  teacher_d = "edu_disrupted_teacher_d",
  id_col_main = "uuid",
  id_col_loop = "uuid"
)

Arguments

df: A data frame.
occupation: Column name for occupation disruption. NULL if dimension is not present in the data frame.
hazards: Column name for hazards disruption.
displaced: Column name for displaced disruption.
teacher: Column name for teacher disruption.
levels: Vector of levels for the disruption variables.
ind_schooling_age_d: Column name for the dummy variable of the schooling age class.
main: A data frame of household-level data.
loop: A data frame of individual-level data.
occupation_d: Column name for the dummy variable of the occupation dimension. NULL if dimension is not present in the data frame.
hazards_d: Column name for the dummy variable of the hazards dimension.
displaced_d: Column name for the dummy variable of the displaced dimension.
teacher_d: Column name for the dummy variable of the teacher dimension.
id_col_main: Column name for the unique identifier in the main dataset.
id_col_loop: Column name for the unique identifier in the loop dataset.