calculate_hpop_billion_change: Calculate the HPOP Billion using columns of change

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Calculate the HPOP Billion using columns of change

Description

calculate_hpop_billion_change() uses the standard HPOP methodology to calculate the Billions estimates for all end years. It is used within calculate_hpop_billion() to calculate the Billion and return the data in long format. Called by itself, it expects a column of changes to be passed in, and returns the Billion for all end_year values.

Usage

calculate_hpop_billion_change(
  df,
  change = "contribution_percent",
  contribution_col = "contribution",
  population = "population",
  end_year = 2019:2025,
  pop_year = 2025,
  scenario_col = NULL,
  ind_ids = billion_ind_codes("hpop")
)

Arguments

df	Data frame in long format, where 1 row corresponds to a specific country, year, and indicator.
change	Column name of column(s) with change value
contribution_col	Column name of column(s) to store contribution (population) values. Must be the same length as transform_value_col.
population	Column name of column to create with population figures.
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.
scenario_col	Column name of column with scenario identifiers. Useful for calculating contributions on data in long format rather than wide format.
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().

See Also

Other hpop: add_hpop_populations(), calculate_hpop_billion(), calculate_hpop_contributions(), hpop_df, transform_hpop_data(), transform_hpop_single(), untransform_hpop_data(), untransform_hpop_single()

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