View source: R/accelerate_hpop.R
accelerate_fuel | R Documentation |
Accelerate fuel by keeping business as usual for high income countries (HIC) (according to the World Bank), and by aiming at the best rate of change between 2013 and 2015 in the region for Lower-middle income countries (LMC), Low-income countries (LIC), and for unclassified countries.
accelerate_fuel(
df,
ind_ids = billion_ind_codes("hpop"),
scenario_col = "scenario",
default_scenario = "default",
bau_scenario = "historical",
scenario_name = "acceleration",
...
)
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
|
scenario_col |
Column name of column with scenario identifiers. Useful for calculating contributions on data in long format rather than wide format. |
default_scenario |
name of the default scenario. |
bau_scenario |
name of scenario to be used for business as usual.
Default is |
scenario_name |
name of scenario |
... |
additional parameters to be passed to scenario function |
Runs:
scenario_bau(df, small_is_best = FALSE,...)
for HIC,
scenario_best_in_region(df, target_year = 2018, baseline_year = 2013, small_is_best = FALSE,...)
for other income groups.
HPOP acceleration scenarios
accelerate_adult_obese()
,
accelerate_alcohol()
,
accelerate_child_obese()
,
accelerate_child_viol()
,
accelerate_devontrack()
,
accelerate_hpop_sanitation_rural()
,
accelerate_hpop_sanitation_urban()
,
accelerate_hpop_sanitation()
,
accelerate_hpop_tobacco()
,
accelerate_ipv()
,
accelerate_overweight()
,
accelerate_pm25()
,
accelerate_road()
,
accelerate_stunting()
,
accelerate_suicide()
,
accelerate_transfats()
,
accelerate_wasting()
,
accelerate_water_rural()
,
accelerate_water_urban()
,
accelerate_water()
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