sdg_transfats: Accelerate transfats to SDG targets

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Accelerate transfats to SDG targets

Description

Put transfats on SDG trajectory by targeting 100 by 2025.

Usage

sdg_transfats(
  df,
  ind_ids = billion_ind_codes("hpop"),
  scenario_col = "scenario",
  ...
)

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.
...	additional parameters to be passed to scenario function

See Also

HPOP SDG scenarios sdg_adult_obese(), sdg_alcohol(), sdg_child_obese(), sdg_child_viol(), sdg_devontrack(), sdg_fuel(), sdg_hpop_sanitation_rural(), sdg_hpop_sanitation_urban(), sdg_hpop_sanitation(), sdg_hpop_tobacco(), sdg_ipv(), sdg_overweight(), sdg_pm25(), sdg_road(), sdg_stunting(), sdg_suicide(), sdg_wasting(), sdg_water_rural(), sdg_water_urban(), sdg_water()

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