ppiIND2016_r62: Poverty Probability Index (PPI) lookup table for India using...

Description Usage Format Source Examples

Description

Poverty Probability Index (PPI) lookup table for India using r62 poverty definitions

Usage

1

Format

A data frame with 7 columns and 101 rows:

score

PPI score

saxena

National saxena

ppp108

Below $1.08 per day purchasing power parity (1993)

ppp81

Below $0.81 per day purchasing power parity (1993)

ppp135

Below $1.35 per day purchasing power parity (1993)

ppp162

Below $1.62 per day purchasing power parity (1993)

ppp216

Below $2.16 per day purchasing power parity (1993)

Source

https://www.povertyindex.org

Examples

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  # Access India PPI table
  ppiIND2016_r62

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiIND2016_r62[ppiIND2016_r62$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiIND2016_r62, 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
  # saxena poverty definition
  ppiScore <- 50
  ppiIND2016_r62[ppiIND2016_r62$score == ppiScore, "saxena"]

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