add_hpop_populations() adds relevant populations to each HPOP Billion indicator
and country, so these can be used to calculate indicator-level contributions
to the HPOP Billion. The column specified by population will be generated and
filled with relevant populations for that country and indicator. If the column
already exists, only missing values will be replaced by the function.
Usage
add_hpop_populations(
df,
population = "population",
pop_year = 2025,
ind_ids = billion_ind_codes("hpop")
)Arguments
- df
Data frame in long format, where 1 row corresponds to a specific country, year, and indicator.
- population
Column name of column to create with population figures.
- pop_year
Year used to pull in HPOP populations, defaults 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
For more details on the HPOP Billion calculation process and how this function ties in with the rest, see the vignette:
See also
Add populations
add_hep_populations(),
add_populations(),
pop_links
Other hpop:
calculate_hpop_billion_change(),
calculate_hpop_billion(),
calculate_hpop_contributions(),
hpop_df,
transform_hpop_data(),
transform_hpop_single(),
untransform_hpop_data(),
untransform_hpop_single()