Description Usage Format Source Examples
Poverty Probability Index (PPI) lookup table for Rwanda
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A data frame with 11 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%)
half100
Poorest half below 100% national
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)
ppp500
Below $5.00 per day purchasing power parity (2005)
ppp844
Below $8.44 per day purchasing power parity (2005)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | # Access Rwanda PPI table
ppiRWA2016
# Given a specific PPI score (from 0 - 100), get the row of poverty
# probabilities from PPI table it corresponds to
ppiScore <- 50
ppiRWA2016[ppiRWA2016$score == ppiScore, ]
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiRWA2016, 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
ppiRWA2016[ppiRWA2016$score == ppiScore, "nl100"]
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