ppiPNG2023 | R Documentation |
Poverty Probability Index (PPI) lookup table for Papua New Guinea 2023
ppiPNG2023
A data frame with 9 columns and 101 rows:
score
PPI score
percentile20_wi
Below 20th percentile wealth index
percentile40_wi
Below 40th percentile wealth index
percentile60_wi
Below 60th percentile wealth index
percentile80_wi
Below 80th percentile wealth index
percentile20_wi_ur
Below 20th percentile wealth index urban/rural
percentile40_wi_ur
Below 40th percentile wealth index urban/rural
percentile60_wi_ur
Below 60th percentile wealth index urban/rural
percentile80_wi_ur
Below 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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