View source: R/calc_hmw_functions.R
tidy_hmw_pfu | R Documentation |
Produce a tidy human muscle work data frame
tidy_hmw_pfu(
.df,
year = MWTools::mw_cols$year,
sector_col = MWTools::mw_constants$sector_col,
concordance_species = MWTools::conc_cols$species,
energy_col = MWTools::mw_cols$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
)
.df |
A data frame containing the final and useful energy consumed
by human workers.
Usually produced by calling the
|
year , sector_col , species , energy_col , stage_col , units_col |
See |
concordance_species |
See |
sex_ilo_col |
See |
country_col , hmw_region_code_col |
See |
final_energy_col , primary_energy_col , useful_energy_hmw_col , labor_type_col |
See |
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()
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