Put fuel on SDG trajectory by targeting 100 by 2030.
Usage
sdg_fuel(
df,
ind_ids = billion_ind_codes("hpop"),
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
HPOP SDG scenarios
sdg_adult_obese()
,
sdg_alcohol()
,
sdg_child_obese()
,
sdg_child_viol()
,
sdg_devontrack()
,
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()