ppiIND2016_r66 | R Documentation |
Poverty Probability Index (PPI) lookup table for India using r66 poverty definitions
ppiIND2016_r66
A data frame with 8 columns and 101 rows:
score
PPI score
tendulkar
National tendulkar
tendulkar100
National tendulkar (100%)
tendulkar150
National tendulkar (150%)
tendulkar200
National tendulkar (200%)
ppp125
Below $1.25 per day purchasing power parity (2005)
ppp188
Below $1.88 per day purchasing power parity (2005)
ppp250
Below $2.50 per day purchasing power parity (2005)
# Access India PPI table
ppiIND2016_r66
# Given a specific PPI score (from 0 - 100), get the row of poverty
# probabilities from PPI table it corresponds to
ppiScore <- 50
ppiIND2016_r66[ppiIND2016_r66$score == ppiScore, ]
# Use subset() function to get the row of poverty probabilities corresponding
# to specific PPI score
ppiScore <- 50
subset(ppiIND2016_r66, 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
# tendulkar poverty definition
ppiScore <- 50
ppiIND2016_r66[ppiIND2016_r66$score == ppiScore, "tendulkar"]
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