| ppiPNG2023 | R Documentation | 
Poverty Probability Index (PPI) lookup table for Papua New Guinea 2023
ppiPNG2023
A data frame with 9 columns and 101 rows:
scorePPI score
percentile20_wiBelow 20th percentile wealth index
percentile40_wiBelow 40th percentile wealth index
percentile60_wiBelow 60th percentile wealth index
percentile80_wiBelow 80th percentile wealth index
percentile20_wi_urBelow 20th percentile wealth index urban/rural
percentile40_wi_urBelow 40th percentile wealth index urban/rural
percentile60_wi_urBelow 60th percentile wealth index urban/rural
percentile80_wi_urBelow 80th percentile wealth index urban/rural
  # 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"]
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