calculate_hep_prevent_ind: Calculate prevent indicators

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Calculate prevent indicators

Description

This function calculates the overall vaccine coverage scores for each pathogen, including the overall prevent indicator. It primarily relies on using purrr::pmap_dfr() to apply the pathogen_calc() function for each prevent component and overall score.

Usage

calculate_hep_prevent_ind(
  df,
  scenario_col = NULL,
  transform_value_col = "transform_value",
  source = sprintf("WHO DDI, %s", format(Sys.Date(), "%B %Y")),
  level_col = stringr::str_replace(transform_value_col, "transform_value", "level"),
  ind_ids = billion_ind_codes("hep", include_calculated = TRUE)
)

Arguments

df	Data frame in long format, where 1 row corresponds to a specific country, year, and indicator.
scenario_col	Column name of column with scenario identifiers. Useful for calculating contributions on data in long format rather than wide format.
transform_value_col	Column name of column(s) with transformed indicator values, used to calculate contributions.
source	Source to use if no unique source available for the calculation.
level_col	Column name(s) to create to hold levels data. Should be same length as transform_value_col.
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().

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