sdg_devontrack: Accelerate devontrack to SDG target

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Accelerate devontrack to SDG target

Description

Put devontrack on SDG trajectory by targeting 100 by 2030.

Usage

sdg_devontrack(
  df,
  ind_ids = billion_ind_codes("hpop"),
  end_year = 2025,
  scenario_col = "scenario",
  start_year = 2018,
  value_col = "value",
  default_scenario = "default",
  ...
)

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.
start_year	Base year for contribution calculation, defaults to 2018.
value_col	Name of the column containing indicator value in df.
default_scenario	name of the default scenario.
...	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_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_transfats(), sdg_wasting(), sdg_water_rural(), sdg_water_urban(), sdg_water()

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