trim_years: Trim values
In gpw13/billionaiRe: Calculate the WHO Triple Billions

trim_years

R Documentation

Trim values

Description

Trim values

Usage

trim_years(df, trim_years, start_year, end_year)

Arguments

`df`	Data frame in long format, where 1 row corresponds to a specific country, year, and indicator.
`trim_years`	logical to indicate if years before `start_year` and after `end_year` should be removed
`start_year`	Start year for scenario, defaults to 2018.
`end_year`	End year for scenario, defaults to 2025

General scenario functions add_scenario(), calculate_aarc(), calculate_aroc(), exec_scenario(), fill_cols_scenario(), flat_extrapolation(), get_aarr(), get_baseline_value(), get_baseline_year(), get_last_value(), get_last_year_scenario(), get_latest_aarc(), get_percent_change_aarc(), get_target_aarc(), remove_unwanted_scenarios(), trim_values()