sdg_beds: Accelerate beds to SDG target

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Accelerate beds to SDG target

Description

Accelerate beds by aiming at 18 by 2030 if values are below 18. Otherwise, business as usual.

Usage

sdg_beds(
  df,
  ind_ids = billion_ind_codes("uhc"),
  scenario_col = "scenario",
  value_col = "value",
  start_year = 2018,
  default_scenario = "default",
  bau_scenario = "historical",
  scenario_name = "sdg",
  ...
)

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	Column name of column with indicator values.
start_year	Base year for contribution calculation, defaults to 2018.
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

See Also

UHC SDG scenarios sdg_anc4(), sdg_art(), sdg_bp(), sdg_doctors(), sdg_dtp3(), sdg_fh(), sdg_fpg(), sdg_fp(), sdg_hwf(), sdg_itn(), sdg_nurses(), sdg_pneumo(), sdg_tb(), sdg_uhc_sanitation(), sdg_uhc_tobacco()

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