ppiPNG2023: Poverty Probability Index (PPI) lookup table for Papua New...

ppiPNG2023R Documentation

Poverty Probability Index (PPI) lookup table for Papua New Guinea 2023

Description

Poverty Probability Index (PPI) lookup table for Papua New Guinea 2023

Usage

ppiPNG2023

Format

A data frame with 9 columns and 101 rows:

score

PPI score

percentile20_wi

Below 20th percentile wealth index

percentile40_wi

Below 40th percentile wealth index

percentile60_wi

Below 60th percentile wealth index

percentile80_wi

Below 80th percentile wealth index

percentile20_wi_ur

Below 20th percentile wealth index urban/rural

percentile40_wi_ur

Below 40th percentile wealth index urban/rural

percentile60_wi_ur

Below 60th percentile wealth index urban/rural

percentile80_wi_ur

Below 80th percentile wealth index urban/rural

Source

https://www.povertyindex.org

Examples

  # Access Papua New Guinea PPI table
  ppiPNG2023

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiPNG2023[ppiPNG2023$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiPNG2023, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiPNG2023[ppiPNG2023$score == ppiScore, "percentile20_wi"]


validmeasures/ppitables documentation built on April 23, 2024, 8:15 p.m.