Export country summary to Excel for UHC billion
export_uhc_country_summary_xls
Export a country-specific for UHC billion.
Source: R/export_country_summary.R
export_uhc_country_summary_xls.Rd
export_hep_country_summary_xls
Export a country-specific for HEP billion.
Usage
export_uhc_country_summary_xls(
df,
wb,
iso,
value_col = "value",
transform_value_col = "transform_value",
scenario_col = NULL,
contribution = "contribution",
default_scenario = "default",
start_year = 2018,
end_year = 2019:2025,
scenario_end_year = end_year,
sheet_prefix = "UHC",
output_folder = "outputs",
ind_ids = billionaiRe::billion_ind_codes("uhc", include_calculated = TRUE)
)
Arguments
- df
Data frame in long format, where 1 row corresponds to a specific country, year, and indicator.
- wb
a
openxlsx
workbook to be edited.- iso
ISO3 code of country to summarize.
- 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.
- contribution
Column name of column(s) to store contribution (population) values. Must be the same length as
transform_value_col
.- default_scenario
name of the default scenario.
- start_year
Base year for contribution calculation, defaults to 2018.
- end_year
End year(s) for contribution calculation, defaults to 2019 to 2025.
- scenario_end_year
End year of the scenarios. Defaults to
end_year
.- sheet_prefix
Character prefix to add in front of export sheets
- output_folder
Folder path to where the Excel files should be written
- 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()
.