ppiIND2016_r68: ppiIND2016_r68 In ppitables: Lookup Tables to Generate Poverty Likelihoods and Rates using the Poverty Probability Index (PPI)

Description

Poverty Probability Index (PPI) lookup table for India using r68 poverty definitions

Usage

 `1` ```ppiIND2016_r68 ```

Format

A data frame with 16 columns and 101 rows:

`score`

PPI score

`rangarajan100`

National rangarajan (100%)

`rangarajan150`

National rangarajan (150%)

`rangarajan200`

National rangarajan (200%)

`half100`

Poorest half below 100% national

`rbiUrban`

RBI urban

`rbiRural`

RBI rural

`ppp190`

Below \$1.90 per day purchasing power parity (2011)

`ppp310`

Below \$3.10 per day purchasing power parity (2011)

`ppp380`

Below \$3.80 per day purchasing power parity (2011)

`ppp400`

Below \$4.00 per day purchasing power parity (2011)

`percentile20`

Below 20th percentile poverty line

`percentile40`

Below 40th percentile poverty line

`percentile50`

Below 50th percentile poverty line

`percentile60`

Below 60th percentile poverty line

`percentile80`

Below 80th percentile poverty line

Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18``` ``` # Access India PPI table ppiIND2016_r68 # Given a specific PPI score (from 0 - 100), get the row of poverty # probabilities from PPI table it corresponds to ppiScore <- 50 ppiIND2016_r68[ppiIND2016_r68\$score == ppiScore, ] # Use subset() function to get the row of poverty probabilities corresponding # to specific PPI score ppiScore <- 50 subset(ppiIND2016_r68, 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 # rangarajan poverty definition ppiScore <- 50 ppiIND2016_r68[ppiIND2016_r68\$score == ppiScore, "rangarajan100"] ```

ppitables documentation built on Jan. 2, 2019, 5:07 p.m.