View source: R/accelerate_hpop.R
| accelerate_water | R Documentation |
Accelerate water by aiming at best value in quintile.
accelerate_water(
df,
ind_ids = billion_ind_codes("hpop"),
scenario_col = "scenario",
default_scenario = "default",
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. |
scenario_name |
name of scenario |
... |
additional parameters to be passed to scenario function |
Runs:
scenario_quantile(df, n = 5, quantile_year = 2017, baseline_quantile_year = 2018, upper_limit = 99, lower_limit = 0 small_is_best = FALSE,...)
HPOP acceleration scenarios
accelerate_adult_obese(),
accelerate_alcohol(),
accelerate_child_obese(),
accelerate_child_viol(),
accelerate_devontrack(),
accelerate_fuel(),
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()
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