Produce a tidy human muscle work data frame

Usage

tidy_hmw_pfu(
  .df,
  year = MWTools::mw_cols$year,
  sector_col = MWTools::mw_constants$sector_col,
  species = MWTools::mw_constants$species,
  energy_col = MWTools::mw_cols$e_dot,
  stage_col = MWTools::mw_constants$stage_col,
  units_col = MWTools::mw_cols$unit,
  sex_ilo_col = MWTools::ilo_cols$sex_ilo_col,
  country_col = MWTools::conc_cols$country_col,
  hmw_region_code_col = MWTools::conc_cols$hmw_region_code_col,
  labor_type_col = MWTools::hmw_analysis_constants$labor_type_col,
  final_energy_col = MWTools::hmw_analysis_constants$final_energy_col,
  primary_energy_col = MWTools::hmw_analysis_constants$primary_energy_col,
  useful_energy_hmw_col = MWTools::hmw_analysis_constants$useful_energy_hmw_col
)

Arguments

.df: A data frame containing the final and useful energy consumed by human workers. Usually produced by calling the add_hmw_region_codes, fill_ilo_data, calc_total_hours_worked, get_broad.sector_data, add_hmw_analysis_sectors, calc_hmw_final_energy, calc_hmw_primary_energy, and calc_hmw_useful_energy functions in sequence on the raw FAO data.
year, sector_col, species, energy_col, stage_col, units_col: See MWTools::mw_constants.
sex_ilo_col: See MWTools::ilo_cols.
country_col, hmw_region_code_col: See MWTools::conc_cols.
final_energy_col, primary_energy_col, useful_energy_hmw_col, labor_type_col: See MWTools::hmw_analysis_constants.

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)
tidied_pfu_data <- hmw_data |>
  add_hmw_region_codes() |>
  fill_ilo_data() |>
  calc_total_hours_worked() |>
  get_broad.sector_data() |>
  split_labor_by_sector() |>
  calc_hmw_final_energy() |>
  calc_hmw_primary_energy() |>
  calc_hmw_useful_energy() |>
  tidy_hmw_pfu()