| ppiMWI2020 | R Documentation | 
Poverty Probability Index (PPI) lookup table for Malawi
ppiMWI2020
A data frame with 16 columns and 101 rows:
scorePPI score
nl100National poverty line (100%)
extremeExtreme poverty line
nl150National poverty line (150%)
nl200National poverty line (200%)
ppp100Below $1.00 per day purchasing power parity (2011)
ppp190Below $1.90 per day purchasing power parity (2011)
ppp320Below $3.20 per day purchasing power parity (2011)
ppp550Below $5.50 per day purchasing power parity (2011)
ppp125Below $1.25 per day purchasing power parity (2005)
ppp250Below $2.50 per day purchasing power parity (2005)
ppp500Below $5.00 per day purchasing power parity (2005)
percentile20Below 20th percentile poverty line
percentile40Below 40th percentile poverty line
percentile60Below 50th percentile poverty line
percentile80Below 60th percentile poverty line
  # Access Malawi PPI table
  ppiMWI2020
  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiMWI2020[ppiMWI2020$score == ppiScore, ]
  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiMWI2020, 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
  ppiMWI2020[ppiMWI2020$score == ppiScore, "nl100"]
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