transform_prev_routine_data: Transform Prevent routine data

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Transform Prevent routine data

Description

Prevent routine data is now stored raw using the percent coverage of the indicator. We want to transform this back into a numerator value for use within pathogen_calc.

Usage

transform_prev_routine_data(
  df,
  value_col,
  transform_value_col,
  scenario_col,
  ind_ids
)

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.
transform_value_col	Column name of column(s) with transformed indicator values, used to calculate contributions.
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

HEP functions add_hep_populations(), calculate_hep_billion(), calculate_hep_components(), hep_df, transform_hep_data(), transform_prev_cmpgn_data()

Other transform: transform_prev_cmpgn_data()

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