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Accelerate water by aiming at best value in quintile.

Usage

accelerate_water(
  df,
  ind_ids = billion_ind_codes("hpop"),
  scenario_col = "scenario",
  default_scenario = "default",
  scenario_name = "acceleration",
  ...
)

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.

default_scenario

name of the default scenario.

scenario_name

name of scenario

...

additional parameters to be passed to scenario function

Details

Runs:

  • scenario_quantile(df, n = 5, quantile_year = 2017, baseline_quantile_year = 2018, upper_limit = 99, lower_limit = 0 small_is_best = FALSE,...)