Accelerate uhc_sanitation by encouraging the country to reach the mean (or upper threshold) of the quantile it belongs to in 2017, with n = 5 quantiles. Lower and upper limits of 0 and 99, respectively, are also imposed on the results.
Usage
accelerate_uhc_sanitation(
df,
ind_ids = billion_ind_codes("uhc"),
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
See also
UHC acceleration scenarios
accelerate_anc4()
,
accelerate_art()
,
accelerate_beds()
,
accelerate_bp()
,
accelerate_doctors()
,
accelerate_dtp3()
,
accelerate_fh()
,
accelerate_fpg()
,
accelerate_fp()
,
accelerate_hwf()
,
accelerate_itn()
,
accelerate_nurses()
,
accelerate_pneumo()
,
accelerate_tb()
,
accelerate_uhc_tobacco()