ppiNPL2013_a: Poverty Probability Index (PPI) lookup table for Nepal using...

Description Usage Format Source Examples

Description

Poverty Probability Index (PPI) lookup table for Nepal using new poverty definitions

Usage

1

Format

A data frame with 9 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

www.povertyindex.org

Examples

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  # Access Nepal PPI table
  ppiNPL2013_a

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiNPL2013_a[ppiNPL2013_a$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiNPL2013_a, 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
  # poverty line definition
  ppiScore <- 50
  ppiNPL2013_a[ppiNPL2013_a$score == ppiScore, "nl100"]

validmeasures/ppitables documentation built on June 17, 2019, 11:07 a.m.