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()