Description Usage Format Source Examples
Poverty Probability Index (PPI) lookup table for Ivory Coast
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A data frame with 9 columns and 101 rows:
score
PPI score
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 (2011)
ppp800
Below $8.00 per day purchasing power parity (2011)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | # Access Ivory Coast PPI table
ppiCIV2013
# Given a specific PPI score (from 0 - 100), get the row of poverty
# probabilities from PPI table it corresponds to
ppiScore <- 50
ppiCIV2013[ppiCIV2013$score == ppiScore, ]
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiCIV2013, 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
ppiCIV2013[ppiCIV2013$score == ppiScore, "extreme"]
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