calculate_hpop_contributions: Calculate HPOP Indicator Contributions

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Calculate HPOP Indicator Contributions

Description

calculate_hpop_contributions() calculates indicator-level contributions and changes for the HPOP Billion.

Usage

calculate_hpop_contributions(
  df,
  start_year = 2018,
  end_year = 2019:2025,
  transform_value_col = "transform_value",
  contribution_col = stringr::str_replace(transform_value_col, "transform_value",
    "contribution"),
  contribution_pct_col = paste0(contribution_col, "_percent"),
  contribution_pct_total_pop_col = paste0(contribution_col, "_percent_total_pop"),
  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.
start_year	Base year for contribution calculation, defaults to 2018.
end_year	End year(s) for contribution calculation, defaults to 2019 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 transform_value_col.
contribution_pct_col	Column name of column(s) to store contribution (percent) values. Must be the same length as transform_value_col.
contribution_pct_total_pop_col	Column name of column(s) to store contribution (percent of total population of the country) values. Must be the same length as transform_value_col.
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().

Details

For more details on the HPOP Billion calculation process and how this function ties in with the rest, see the vignette:

vignette("hpop", package = "billionaiRe")

Value

Data frame in long format.

See Also

Other hpop: add_hpop_populations(), calculate_hpop_billion_change(), calculate_hpop_billion(), 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.