View source: R/calculate_uhc_contribution.R
calculate_uhc_contribution | R Documentation |
calculate_uhc_contribution()
calculates country-level UHC contributions, in
total population and percents, based on indicator level data. Calculates it
for each country-year combination in the provided data, and for specific
scenarios if specified.
calculate_uhc_contribution(
df,
value_col = "value",
start_year = 2018,
end_year = 2019:2025,
pop_year = 2025,
transform_value_col = "transform_value",
contribution_col = stringr::str_replace(transform_value_col, "transform_value",
"contribution"),
contribution_pct_col = paste0(contribution_col, "_percent"),
scenario_col = NULL,
scenario_reported_estimated = "routine",
scenario_covid_shock = "covid_shock",
scenario_reference_infilling = "reference_infilling",
ind_ids = billion_ind_codes("uhc", include_calculated = TRUE, include_subindicators =
TRUE),
default_scenario = "default"
)
df |
Data frame in long format, where 1 row corresponds to a specific country, year, and indicator. |
value_col |
Column name of column with indicator values. |
start_year |
Base year for contribution calculation, defaults to 2018. |
end_year |
End year(s) for contribution calculation, defaults to 2019 to 2025. |
pop_year |
Year used to pull in HPOP populations, defaults to 2025. |
transform_value_col |
Column name of column(s) with transformed indicator values, used to calculate contributions. |
contribution_col |
Column name of column(s) to store contribution (population)
values. Must be the same length as |
contribution_pct_col |
Column name of column(s) to store contribution (percent)
values. Must be the same length as |
scenario_col |
Column name of column with scenario identifiers. Useful for calculating contributions on data in long format rather than wide format. |
scenario_reported_estimated |
name of the reported/estimated scenario. |
scenario_covid_shock |
name of the scenario with the COVID-19 shock years. |
scenario_reference_infilling |
name of the WHO technical programs projections/imputations scenario. |
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
|
default_scenario |
name of the default scenario. |
For more details on the UHC Billion calculation process and how this function ties in with the rest, see the vignette:
vignette("uhc", package = "billionaiRe")
Data frame in long format.
Other uhc:
calculate_uhc_billion()
,
transform_uhc_data()
,
transform_uhc_single()
,
uhc_df
,
untransform_uhc_data()
,
untransform_uhc_single()
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