split_labor_by_sector: Splits ILO labor data by sector

In EnergyEconomyDecoupling/MWTools: Functions For Calculation of Muscle Work Within the PSUT Framework

Splits ILO labor data by sector

Description

Splits ILO labor data by sector

Usage

split_labor_by_sector(
  .df,
  hmw_analysis_data_path = MWTools::hmw_analysis_data_path(),
  hmw_labor_map_sheet = MWTools::hmw_analysis_constants$hmw_labor_map_sheet,
  unit = MWTools::mw_cols$unit,
  hmw_region_code_col = MWTools::conc_cols$hmw_region_code_col,
  sex_ilo_col = MWTools::ilo_cols$sex_ilo_col,
  sector_col = MWTools::mw_constants$sector_col,
  year = MWTools::mw_cols$year,
  labor_type_col = MWTools::hmw_analysis_constants$labor_type_col,
  labor_split_col = MWTools::hmw_analysis_constants$labor_split_col,
  employed_persons_ilo_col = MWTools::ilo_cols$employed_persons_ilo_col,
  total_wk_hrs_ilo_col = MWTools::hmw_analysis_constants$total_wk_hrs_ilo_col,
  agriculture = MWTools::mw_sectors$agriculture_broad.sector,
  industry = MWTools::mw_sectors$industry_broad.sector,
  services = MWTools::mw_sectors$services_broad.sector
)

Arguments

.df	A data frame containing the number of hours worked by broad sector. Usually produced by calling the add_hmw_region_codes, fill_ilo_data, calc_total_hours_worked, and get_broad.sector_data functions in sequence on the raw FAO data.
hmw_analysis_data_path	See MWTools::hmw_analysis_data_path().
hmw_labor_map_sheet, labor_type_col, labor_split_col, total_wk_hrs_ilo_col	See MWTools::hmw_analysis_constants.
unit, year	See MWTools::mw_cols.
hmw_region_code_col	See MWTools::conc_cols.
sex_ilo_col, employed_persons_ilo_col	See MWTools::ilo_cols.
sector_col	See MWTools::mw_constants.
agriculture, industry, services	See MWTools::mw_sectors.

Examples

ilo_working_hours_data <- read.csv(file = MWTools::ilo_working_hours_test_data_path())
ilo_employment_data <- read.csv(file = MWTools::ilo_employment_test_data_path())
hmw_data <- prepareRawILOData(ilo_working_hours_data = ilo_working_hours_data,
                              ilo_employment_data = ilo_employment_data)
working_hours_labor_type_data <- hmw_data |>
  add_hmw_region_codes() |>
  fill_ilo_data() |>
  calc_total_hours_worked() |>
  get_broad.sector_data() |>
  split_labor_by_sector()

EnergyEconomyDecoupling/MWTools documentation built on April 14, 2025, 9:27 a.m.