ppiIND2016_r66: Poverty Probability Index (PPI) lookup table for India using...

In ppitables: Lookup Tables to Generate Poverty Likelihoods and Rates using the Poverty Probability Index (PPI)

Description

Poverty Probability Index (PPI) lookup table for India using r66 poverty definitions

Usage

ppiIND2016_r66

Format

A data frame with 8 columns and 101 rows:

score

PPI score

tendulkar

National tendulkar

tendulkar100

National tendulkar (100%)

tendulkar150

National tendulkar (150%)

tendulkar200

National tendulkar (200%)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp188

Below $1.88 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access India PPI table
  ppiIND2016_r66

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiIND2016_r66[ppiIND2016_r66$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiIND2016_r66, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # tendulkar poverty definition
  ppiScore <- 50
  ppiIND2016_r66[ppiIND2016_r66$score == ppiScore, "tendulkar"]

ppitables documentation built on Jan. 13, 2021, 7:08 p.m.