get_percent_change_aarc: Get AARC for data frame based on a percent change to baseline

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Get AARC for data frame based on a percent change to baseline

Description

Gets the annual average rate of change (AARC or AROC) between the baseline year and the target year given a percent change between the two years for every combination of iso3 and ind present in df.

Usage

get_percent_change_aarc(
  df,
  percent_change,
  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.
percent_change	Numeric with the percent_change. Should be expressed a as 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_target_aarc(), remove_unwanted_scenarios(), trim_values(), trim_years()

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