Put hpop_sanitation on SDG trajectory by aiming at 100% by 2030
Usage
sdg_hpop_sanitation(
df,
ind_ids = billion_ind_codes("hpop"),
end_year = 2025,
scenario_col = "scenario",
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().- 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.
- scenario_name
name of 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_devontrack(),
sdg_fuel(),
sdg_hpop_sanitation_rural(),
sdg_hpop_sanitation_urban(),
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()