accelerate_hpop_tobacco: Accelerate hpop_tobacco

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Accelerate hpop_tobacco

Description

Accelerate hpop_tobacco by picking the best value between business as usual, halt the rise in 2018, or a custom version of scenario_percent_baseline(). The custom function is taking similar parameters to scenario_percent_baseline()'s percent_change = -30, baseline_year = 2010, but values are added to the start_year value, rather than the baseline_year values.

Usage

accelerate_hpop_tobacco(
  df,
  ind_ids = billion_ind_codes("hpop"),
  scenario_col = "scenario",
  value_col = "value",
  start_year = 2018,
  start_year_trim = start_year + 1,
  end_year = 2025,
  default_scenario = "default",
  bau_scenario = "historical",
  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().
scenario_col	Column name of column with scenario identifiers. Useful for calculating contributions on data in long format rather than wide format.
value_col	Name of the column containing indicator value in df.
start_year	Year from which the acceleration scenario begins, inclusive.
start_year_trim	(integer) year to start trimming from.
end_year	End year(s) for contribution calculation, defaults to 2019 to 2025.
default_scenario	name of the default scenario.
bau_scenario	name of scenario to be used for business as usual. Default is historical.
scenario_name	name of scenario
...	additional parameters to be passed to scenario function

Details

Runs:

• custom scenario_percent_baseline (see above).

• scenario_bau(df, small_is_best = TRUE,...)

• scenario_halt_rise(df, baseline_year= 2018, small_is_best = TRUE,...)

Then picks the best result between the three scenarios.

See Also

scenario_percent_baseline

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_sanitation(), 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 April 17, 2025, 12:54 p.m.