accelerate_transfats: Accelerate transfats

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Accelerate transfats

Description

Accelerate transfats by targeting 100 by 2025.

Usage

accelerate_transfats(
  df,
  ind_ids = billion_ind_codes("hpop"),
  scenario_col = "scenario",
  default_scenario = "default",
  scenario_name = "acceleration",
  start_year = 2018,
  start_year_trim = start_year + 1,
  end_year = 2025,
  value_col = "value",
  ...
)

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.
default_scenario	name of the default scenario.
scenario_name	name of scenario
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.
value_col	Column name of column with indicator values. This column will be used to return the results.
...	additional parameters to be passed to scenario function

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_sanitation(), accelerate_hpop_tobacco(), accelerate_ipv(), accelerate_overweight(), accelerate_pm25(), accelerate_road(), accelerate_stunting(), accelerate_suicide(), accelerate_wasting(), accelerate_water_rural(), accelerate_water_urban(), accelerate_water()

gpw13/billionaiRe documentation built on April 17, 2025, 12:54 p.m.