get_target_aarc: Get AARC for data frame based on a target

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Get AARC for data frame based on a target

Description

Gets the annual average rate of change (AARC or AROC) between the baseline year and the target year to reach the target value for every combination of iso3 and ind present in df.

Usage

get_target_aarc(
  df,
  target_value,
  baseline_year,
  target_year,
  value_col = "value"
)

Arguments

df	Data frame in long format, where 1 row corresponds to a specific country, year, and indicator.
target_value	value to be reached. Used when aroc_type is target. Should be expressed as a percentage point and not a fraction of 100 (e.g. 6% increase = 6, and not 0.06).
baseline_year	Year from which the scenario is measured. Defaults to start_year
target_year	Year by which the scenario should eventually be achieved. Defaults to end_year
value_col	Column name of column with indicator values.

Value

dataframe with AROC (in aroc column) for every combination of iso3 and ind

See Also

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(), remove_unwanted_scenarios(), trim_values(), trim_years()

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