Accelerate uhc_tobacco
by aiming at 100 by 2030 if there are 2 values or more
reported. Otherwise, business as usual.
Usage
sdg_uhc_tobacco(
df,
ind_ids = billion_ind_codes("uhc"),
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
UHC SDG scenarios
sdg_anc4()
,
sdg_art()
,
sdg_beds()
,
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()