accelerate_hpop_sanitation: Accelerate hpop_sanitation

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Accelerate hpop_sanitation

Description

Accelerate hpop_sanitation by aiming at best value in quintile.

Usage

accelerate_hpop_sanitation(
  df,
  ind_ids = billion_ind_codes("hpop"),
  end_year = 2025,
  scenario_col = "scenario",
  default_scenario = "default",
  scenario_name = "acceleration",
  ...
)

Arguments

df	Data frame in long format, where 1 row corresponds to a specific country, year, and indicator.
ind_ids	Named vector of indicator codes for input indicators to the Billion. Although separate indicator codes can be used than the standard, they must be supplied as a named vector where the names correspond to the output of billion_ind_codes().
end_year	End year(s) for contribution calculation, defaults to 2019 to 2025.
scenario_col	Column name of column with scenario identifiers. Useful for calculating contributions on data in long format rather than wide format.
default_scenario	name of the default scenario.
scenario_name	name of scenario
...	additional parameters to be passed to scenario function

Details

Runs:

• scenario_quantile(df, n = 5, quantile_year = 2019, baseline_quantile_year = 2018, upper_limit = 99, small_is_best = FALSE,...)

See Also

HPOP acceleration scenarios accelerate_adult_obese(), accelerate_alcohol(), accelerate_child_obese(), accelerate_child_viol(), accelerate_devontrack(), accelerate_fuel(), accelerate_hpop_sanitation_rural(), accelerate_hpop_sanitation_urban(), accelerate_hpop_tobacco(), accelerate_ipv(), accelerate_overweight(), accelerate_pm25(), accelerate_road(), accelerate_stunting(), accelerate_suicide(), accelerate_transfats(), accelerate_wasting(), accelerate_water_rural(), accelerate_water_urban(), accelerate_water()

gpw13/billionaiRe documentation built on Sept. 27, 2024, 10:05 p.m.