assert_data_calculation_uhc: Assert minimum data for UHC calculations

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Assert minimum data for UHC calculations

Description

assert_data_calculation_uhc asserts that the minimum data required to run UHC calculations is present.

Usage

assert_data_calculation_uhc(
  df,
  value_col = "value",
  scenario_col = NULL,
  start_year = 2018,
  end_year = 2025,
  ind_ids = billion_ind_codes("uhc")
)

Arguments

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.
scenario_col	Column name of column with scenario identifiers. Useful for calculating contributions on data in long format rather than wide format.
start_year	Base year for contribution calculation, defaults to 2018.
end_year	End year(s) for contribution calculation, defaults to 2019 to 2025.
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().

Details

The function returns warnings if start_year and end_year are not present in year column in the data frame. Not having those values will significantly impact the billion calculations as hpop_healthier will return 0.

Warnings are also returned if some country (and scenario if provided) have only NAs.

Value

Data frame in long format.

gpw13/billionaiRe documentation built on Sept. 27, 2024, 10:05 p.m.