Nothing
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Afghanistan
#'
#' @format A data frame with 7 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl}}{National poverty line}
#' \item{\code{nu150}}{National poverty line (150\%)}
#' \item{\code{nu200}}{National poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Afghanistan PPI table
#' ppiAFG2012
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiAFG2012[ppiAFG2012$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiAFG2012, 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
#' ppiAFG2012[ppiAFG2012$score == ppiScore, "extreme"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#'
#
################################################################################
"ppiAFG2012"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Angola
#'
#' @format A data frame with 9 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{half100}}{Poorest half below 100\% national}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Angola PPI table
#' ppiAGO2015
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiAGO2015[ppiAGO2015$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiAGO2015, 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
#' ppiAGO2015[ppiAGO2015$score == ppiScore, "extreme"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiAGO2015"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Bangladesh
#'
#' @format A data frame with 10 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl}}{National lower poverty line}
#' \item{\code{nu100}}{National upper poverty line (100\%)}
#' \item{\code{nu150}}{National upper poverty line (150\%)}
#' \item{\code{nu200}}{National upper poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp175}}{Below $1.75 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Bangladesh PPI table
#' ppiBGD2013
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiBGD2013[ppiBGD2013$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiBGD2013, 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
#' ppiBGD2013[ppiBGD2013$score == ppiScore, "extreme"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiBGD2013"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Bolivia
#'
#' @format A data frame with 10 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{Food poverty line}
#' \item{\code{nl150}}{National poverty line (100\%)}
#' \item{\code{nl200}}{National poverty line (150\%)}
#' \item{\code{half100}}{National poverty line (200\%)}
#' \item{\code{ppp125}}{Poorest half below 100\% national}
#' \item{\code{ppp200}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp844}}{Below $5.00 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Bolivia PPI table
#' ppiBOL2015
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiBOL2015[ppiBOL2015$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiBOL2015, score == ppiScore)
#'
#' # Given a specific PPI score (from 0 - 100), get a poverty probability
#' # based on a specific poverty definition. In this example, the food
#' # poverty line definition
#' ppiScore <- 50
#' ppiBOL2015[ppiBOL2015$score == ppiScore, "nlFood"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiBOL2015"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Benin
#'
#' @format A data frame with 7 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Benin PPI table
#' ppiBEN2012
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiBEN2012[ppiBEN2012$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiBEN2012, 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
#' ppiBEN2012[ppiBEN2012$score == ppiScore, "extreme"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiBEN2012"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Brazil
#'
#' @format A data frame with 10 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{belowHalfWage}}{Below the half minimum wage line}
#' \item{\code{belowQtrWage}}{Below the quarter minimum wage line}
#' \item{\code{belowOneWage}}{Below the one minimum wage line}
#' \item{\code{belowTwoWage}}{Below the two minimum wage line}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp375}}{Below $3.75 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Brazil PPI table
#' ppiBRA2010
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiBRA2010[ppiBRA2010$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiBRA2010, 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
#' ppiBRA2010[ppiBRA2010$score == ppiScore, "extreme"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiBRA2010"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Burkina Faso
#'
#' @format A data frame with 15 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp100}}{Below $1.00 per day purchasing power parity (2011)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp320}}{Below $3.20 per day purchasing power parity (2011)}
#' \item{\code{ppp550}}{Below $5.50 per day purchasing power parity (2011)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile60}}{Below 60th percentile poverty line}
#' \item{\code{percentile80}}{Below 80th percentile poverty line}
#' }
#'
#' @examples
#' # Access Burkina Faso PPI table
#' ppiBFA2017
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiBFA2017[ppiBFA2017$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiBFA2017, 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
#' ppiBFA2017[ppiBFA2017$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiBFA2017"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Cameroon
#'
#' @format A data frame with 8 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Cameroon PPI table
#' ppiCMR2013
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiCMR2013[ppiCMR2013$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiCMR2013, 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
#' ppiCMR2013[ppiCMR2013$score == ppiScore, "extreme"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiCMR2013"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Dominican Republic
#'
#' @format A data frame with 11 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl50}}{National poverty line (50\%)}
#' \item{\code{nl75}}{National poverty line (75\%)}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp375}}{Below $3.75 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Dominican Republic PPI table
#' ppiDOM2010
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiDOM2010[ppiDOM2010$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiDOM2010, 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
#' ppiDOM2010[ppiDOM2010$score == ppiScore, "extreme"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiDOM2010"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Ecuador
#'
#' @format A data frame with 11 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{half100}}{Poorest half below 100\% national}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp844}}{Below $8.44 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Ecuador PPI table
#' ppiECU2015
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiECU2015[ppiECU2015$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiECU2015, 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
#' ppiECU2015[ppiECU2015$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiECU2015"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Egypt
#'
#' @format A data frame with 8 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nu100}}{National upper poverty line (100\%)}
#' \item{\code{nl100}}{National lower poverty line (100\%)}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp375}}{Below $3.75 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Egypt PPI table
#' ppiEGY2010
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiEGY2010[ppiEGY2010$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiEGY2010, 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
#' ppiEGY2010[ppiEGY2010$score == ppiScore, "extreme"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiEGY2010"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for El Salvador
#'
#' @format A data frame with 9 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp375}}{Below $3.75 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access El Salvador PPI table
#' ppiSLV2010
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiSLV2010[ppiSLV2010$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiSLV2010, 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
#' ppiSLV2010[ppiSLV2010$score == ppiScore, "extreme"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiSLV2010"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Ethiopia
#'
#' @format A data frame with 21 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{ppp100}}{Below $1.00 per day purchasing power parity (2005)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp175}}{Below $1.75 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp310}}{Below $3.10 per day purchasing power parity (2011)}
#' \item{\code{ppp380}}{Below $3.80 per day purchasing power parity (2011)}
#' \item{\code{ppp400}}{Below $4.00 per day purchasing power parity (2011)}
#' \item{\code{half100}}{Poorest half below 100 national}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile50}}{Below 50th percentile poverty line}
#' \item{\code{percentile60}}{Below 60th percentile poverty line}
#' \item{\code{percentile80}}{Below 80th percentile poverty line}
#' }
#'
#' @examples
#' # Access Ethiopia PPI table
#' ppiETH2016
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiETH2016[ppiETH2016$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiETH2016, 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
#' ppiETH2016[ppiETH2016$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiETH2016"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Fiji
#'
#' @format A data frame with 8 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{median}}{Poorest half below 100\% national}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Fiji PPI table
#' ppiFJI2014
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiFJI2014[ppiFJI2014$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiFJI2014, 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
#' ppiFJI2014[ppiFJI2014$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiFJI2014"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Ghana based on legacy
#' definitions
#'
#' @format A data frame with 8 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp375}}{Below $2.75 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Ghana PPI table
#' ppiGHA2015
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiGHA2015[ppiGHA2015$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiGHA2015, 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
#' ppiGHA2015[ppiGHA2015$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiGHA2015"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Ghana using poverty
#' definitions deflated with Ghana's CPI
#'
#' @format A data frame with 13 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{half100}}{Poorest half below 100\% national}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp375}}{Below $3.75 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp310}}{Below $3.10 per day purchasing power parity (2011)}
#' }
#'
#' @examples
#' # Access Ghana PPI table
#' ppiGHA2015_a
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiGHA2015_a[ppiGHA2015_a$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiGHA2015_a, 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
#' ppiGHA2015_a[ppiGHA2015_a$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiGHA2015_a"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Ghana using poverty
#' definitions deflated with the change in 100\% of national poverty line
#'
#' @format A data frame with 8 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp375}}{Below $3.75 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp310}}{Below $3.10 per day purchasing power parity (2011)}
#' }
#'
#' @examples
#' # Access Ghana PPI table
#' ppiGHA2015_b
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiGHA2015_b[ppiGHA2015_b$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiGHA2015_b, score == ppiScore)
#'
#' # Given a specific PPI score (from 0 - 100), get a poverty probability
#' # based on a specific poverty definition. In this example, the below $1.25
#' # per day purchasing power parity (2005)
#' ppiScore <- 50
#' ppiGHA2015_b[ppiGHA2015_b$score == ppiScore, "ppp125"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiGHA2015_b"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Guatemala
#'
#' @format A data frame with 17 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{half100}}{Poorest half below 100\% national}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp310}}{Below $3.10 per day purchasing power parity (2011)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile50}}{Below 50th percentile poverty line}
#' \item{\code{percentile60}}{Below 60th percentile poverty line}
#' \item{\code{percentile80}}{Below 80th percentile poverty line}
#' }
#'
#' @examples
#' # Access Guatemala PPI table
#' ppiGTM2016
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiGTM2016[ppiGTM2016$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiGTM2016, 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
#' ppiGTM2016[ppiGTM2016$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiGTM2016"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Honduras
#'
#' @format A data frame with 7 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp375}}{Below $3.75 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Honduras PPI table
#' ppiHND2010
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiHND2010[ppiHND2010$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiHND2010, 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
#' ppiHND2010[ppiHND2010$score == ppiScore, "extreme"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiHND2010"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Haiti
#'
#' @format A data frame with 10 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{half100}}{Poorest half below 100\% national}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Haiti PPI table
#' ppiHTI2016
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiHTI2016[ppiHTI2016$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiHTI2016, 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
#' ppiHTI2016[ppiHTI2016$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiHTI2016"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for India using r59 poverty
#' definitions
#'
#' @format A data frame with 4 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{saxena}}{National saxena}
#' \item{\code{ppp108}}{Below $1.08 per day purchasing power parity (1993)}
#' \item{\code{ppp216}}{Below $2.16 per day purchasing power parity (1993)}
#' }
#'
#' @examples
#' # Access India PPI table
#' ppiIND2016_r59
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiIND2016_r59[ppiIND2016_r59$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiIND2016_r59, score == ppiScore)
#'
#' # Given a specific PPI score (from 0 - 100), get a poverty probability
#' # based on a specific poverty definition. In this example, the saxena
#' # poverty definition
#' ppiScore <- 50
#' ppiIND2016_r59[ppiIND2016_r59$score == ppiScore, "saxena"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiIND2016_r59"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for India using r62 poverty
#' definitions
#'
#' @format A data frame with 7 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{saxena}}{National saxena}
#' \item{\code{ppp108}}{Below $1.08 per day purchasing power parity (1993)}
#' \item{\code{ppp81}}{Below $0.81 per day purchasing power parity (1993)}
#' \item{\code{ppp135}}{Below $1.35 per day purchasing power parity (1993)}
#' \item{\code{ppp162}}{Below $1.62 per day purchasing power parity (1993)}
#' \item{\code{ppp216}}{Below $2.16 per day purchasing power parity (1993)}
#' }
#'
#' @examples
#' # Access India PPI table
#' ppiIND2016_r62
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiIND2016_r62[ppiIND2016_r62$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiIND2016_r62, 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
#' # saxena poverty definition
#' ppiScore <- 50
#' ppiIND2016_r62[ppiIND2016_r62$score == ppiScore, "saxena"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiIND2016_r62"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for India using r66 poverty
#' definitions
#'
#' @format A data frame with 8 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{tendulkar}}{National tendulkar}
#' \item{\code{tendulkar100}}{National tendulkar (100\%)}
#' \item{\code{tendulkar150}}{National tendulkar (150\%)}
#' \item{\code{tendulkar200}}{National tendulkar (200\%)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp188}}{Below $1.88 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access India PPI table
#' ppiIND2016_r66
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiIND2016_r66[ppiIND2016_r66$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"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiIND2016_r66"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for India using r68 poverty
#' definitions
#'
#' @format A data frame with 16 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{rangarajan100}}{National rangarajan (100\%)}
#' \item{\code{rangarajan150}}{National rangarajan (150\%)}
#' \item{\code{rangarajan200}}{National rangarajan (200\%)}
#' \item{\code{half100}}{Poorest half below 100\% national}
#' \item{\code{rbiUrban}}{RBI urban}
#' \item{\code{rbiRural}}{RBI rural}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp310}}{Below $3.10 per day purchasing power parity (2011)}
#' \item{\code{ppp380}}{Below $3.80 per day purchasing power parity (2011)}
#' \item{\code{ppp400}}{Below $4.00 per day purchasing power parity (2011)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile50}}{Below 50th percentile poverty line}
#' \item{\code{percentile60}}{Below 60th percentile poverty line}
#' \item{\code{percentile80}}{Below 80th percentile poverty line}
#' }
#'
#' @examples
#' # Access India PPI table
#' ppiIND2016_r68
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiIND2016_r68[ppiIND2016_r68$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"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiIND2016_r68"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Indonesia using legacy
#' poverty definitions
#'
#' @format A data frame with 4 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Indonesia PPI table
#' ppiIDN2012
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiIDN2012[ppiIDN2012$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiIDN2012, 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
#' ppiIDN2012[ppiIDN2012$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiIDN2012"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Indonesia using new
#' poverty definitions
#'
#' @format A data frame with 9 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp310}}{Below $3.10 per day purchasing power parity (2011)}
#' }
#'
#' @examples
#' # Access Indonesia PPI table
#' ppiIDN2012_a
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiIDN2012_a[ppiIDN2012_a$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiIDN2012_a, 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
#' ppiIDN2012_a[ppiIDN2012_a$score == ppiScore, "extreme"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiIDN2012_a"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Ivory Coast
#'
#' @format A data frame with 9 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2011)}
#' \item{\code{ppp800}}{Below $8.00 per day purchasing power parity (2011)}
#' }
#'
#' @examples
#' # Access Ivory Coast PPI table
#' ppiCIV2013
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiCIV2013[ppiCIV2013$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"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiCIV2013"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Jordan
#'
#' @format A data frame with 10 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{nl250}}{National poverty line (250\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp375}}{Below $3.75 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Jordan PPI table
#' ppiJOR2010
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiJOR2010[ppiJOR2010$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiJOR2010, 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
#' ppiJOR2010[ppiJOR2010$score == ppiScore, "extreme"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiJOR2010"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Kenya
#'
#' @format A data frame with 11 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp400}}{Below $4.00 per day purchasing power parity (2005)}
#' \item{\code{ppp844}}{Below $8.44 per day purchasing power parity (2005)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp310}}{Below $3.10 per day purchasing power parity (2011)}
#' }
#'
#' @examples
#' # Access Kenya PPI table
#' ppiKEN2011
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiKEN2011[ppiKEN2011$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiKEN2011, 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
#' ppiKEN2011[ppiKEN2011$score == ppiScore, "extreme"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiKEN2011"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Kyrgyzstan
#'
#' @format A data frame with 9 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{median}}{Poorest half below 100\% national}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Kyrgyzstan PPI table
#' ppiKGZ2015
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiKGZ2015[ppiKGZ2015$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiKGZ2015, 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
#' ppiKGZ2015[ppiKGZ2015$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiKGZ2015"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Madagascar
#'
#' @format A data frame with 9 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{Food poverty line}
#' \item{\code{nl150}}{National poverty line (100\%)}
#' \item{\code{nl200}}{National poverty line (150\%)}
#' \item{\code{median}}{National poverty line (200\%)}
#' \item{\code{ppp125}}{Poorest half below 100\% national}
#' \item{\code{ppp200}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Madagascar PPI table
#' ppiMDG2015
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiMDG2015[ppiMDG2015$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiMDG2015, 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
#' ppiMDG2015[ppiMDG2015$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiMDG2015"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Malawi using government
#' poverty definitions
#'
#' @format A data frame with 14 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{half100}}{Poorest half below 100\% national}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp844}}{Below $8.44 per day purchasing power parity (2005)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp310}}{Below $3.10 per day purchasing power parity (2011)}
#' \item{\code{ppp1000}}{Below $10.00 per day purchasing power parity (2011)}
#' }
#'
#' @examples
#' # Access Malawi PPI table
#' ppiMWI2015_gov
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiMWI2015_gov[ppiMWI2015_gov$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiMWI2015_gov, 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
#' ppiMWI2015_gov[ppiMWI2015_gov$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiMWI2015_gov"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Malawi using legacy
#' poverty definitions
#'
#' @format A data frame with 3 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Malawi PPI table
#' ppiMWI2015
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiMWI2015[ppiMWI2015$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiMWI2015, score == ppiScore)
#'
#' # Given a specific PPI score (from 0 - 100), get a poverty probability
#' # based on a specific poverty definition. In this example, below $1.25
#' # purchasing power parity (2005)
#' ppiScore <- 50
#' ppiMWI2015[ppiMWI2015$score == ppiScore, "ppp125"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiMWI2015"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Malawi using PBM poverty
#' definitions
#'
#' @format A data frame with 13 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{half100}}{Poorest half below 100\% national}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp844}}{Below $8.44 per day purchasing power parity (2005)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp310}}{Below $3.10 per day purchasing power parity (2011)}
#' }
#'
#' @examples
#' # Access Malawi PPI table
#' ppiMWI2015_pbm
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiMWI2015_pbm[ppiMWI2015_pbm$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiMWI2015_pbm, 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
#' ppiMWI2015_pbm[ppiMWI2015_pbm$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiMWI2015_pbm"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Mali
#'
#' @format A data frame with 6 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Mali PPI table
#' ppiMLI2010
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiMLI2010[ppiMLI2010$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiMLI2010, 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
#' ppiMLI2010[ppiMLI2010$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiMLI2010"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Mexico using new poverty
#' definitions
#'
#' @format A data frame with 17 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National lower poverty line (100\%)}
#' \item{\code{nu100}}{National upper poverty line (100\%)}
#' \item{\code{nu150}}{National upper poverty line (150\%)}
#' \item{\code{nu200}}{National upper poverty line (200\%)}
#' \item{\code{half100}}{Poorest half below 100\% national}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp310}}{Below $3.10 per day purchasing power parity (2011)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile50}}{Below 50th percentile poverty line}
#' \item{\code{percentile60}}{Below 60th percentile poverty line}
#' \item{\code{percentile80}}{Below 80th percentile poverty line}
#' }
#'
#' @examples
#' # Access Mexico PPI table
#' ppiMEX2017_a
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiMEX2017_a[ppiMEX2017_a$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiMEX2017_a, 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
#' ppiMEX2017_a[ppiMEX2017_a$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiMEX2017_a"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Mexico using legacy
#' definitions
#'
#' @format A data frame with 8 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nlCapability}}{Capabilities}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl125}}{National poverty line (125\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Mexico PPI table
#' ppiMEX2017
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiMEX2017[ppiMEX2017$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiMEX2017, 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
#' ppiMEX2017[ppiMEX2017$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiMEX2017"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Mongolia
#'
#' @format A data frame with 18 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{half100}}{Poorest half below 100\% national}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp310}}{Below $3.10 per day purchasing power parity (2011)}
#' \item{\code{ppp380}}{Below $3.80 per day purchasing power parity (2011)}
#' \item{\code{ppp400}}{Below $4.00 per day purchasing power parity (2011)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile50}}{Below 50th percentile poverty line}
#' \item{\code{percentile60}}{Below 60th percentile poverty line}
#' \item{\code{percentile80}}{Below 80th percentile poverty line}
#' }
#'
#' @examples
#' # Access Mongolia PPI table
#' ppiMNG2016
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiMNG2016[ppiMNG2016$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiMNG2016, 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
#' ppiMNG2016[ppiMNG2016$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiMNG2016"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Morocco
#'
#' @format A data frame with 9 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp375}}{Below $3.75 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Morocco PPI table
#' ppiMAR2013
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiMAR2013[ppiMAR2013$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiMAR2013, 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
#' ppiMAR2013[ppiMAR2013$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiMAR2013"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Myanmar
#'
#' @format A data frame with 8 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Myanmar PPI table
#' ppiMMR2012
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiMMR2012[ppiMMR2012$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiMMR2012, 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
#' ppiMMR2012[ppiMMR2012$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiMMR2012"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Mozambique
#'
#' @format A data frame with 7 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{ppp100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Mozambique PPI table
#' ppiMOZ2013
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiMOZ2013[ppiMOZ2013$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiMOZ2013, 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
#' ppiMOZ2013[ppiMOZ2013$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiMOZ2013"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Namibia
#'
#' @format A data frame with 9 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National lower poverty line (100\%)}
#' \item{\code{nu100}}{National upper poverty line (100\%)}
#' \item{\code{nu150}}{National upper poverty line (150\%)}
#' \item{\code{nu200}}{National upper poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Namibia PPI table
#' ppiNAM2013
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiNAM2013[ppiNAM2013$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiNAM2013, 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
#' ppiNAM2013[ppiNAM2013$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiNAM2013"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Nepal using new poverty
#' definitions
#'
#' @format A data frame with 9 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Nepal PPI table
#' ppiNPL2013_a
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiNPL2013_a[ppiNPL2013_a$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiNPL2013_a, 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
#' ppiNPL2013_a[ppiNPL2013_a$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiNPL2013_a"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Nepal using legacy poverty
#' definitions
#'
#' @format A data frame with 4 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Nepal PPI table
#' ppiNPL2013
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiNPL2013[ppiNPL2013$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiNPL2013, 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
#' ppiNPL2013[ppiNPL2013$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiNPL2013"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Nicaragua
#'
#' @format A data frame with 10 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp375}}{Below $3.75 per day purchasing power parity (2005)}
#' \item{\code{ppp800}}{Below $8.00 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Nicaragua PPI table
#' ppiNIC2013
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiNIC2013[ppiNIC2013$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiNIC2013, 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
#' ppiNIC2013[ppiNIC2013$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiNIC2013"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Niger
#'
#' @format A data frame with 9 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Niger PPI table
#' ppiNER2013
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiNER2013[ppiNER2013$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiNER2013, 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
#' ppiNER2013[ppiNER2013$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiNER2013"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Nigeria
#'
#' @format A data frame with 13 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{half100}}{Poorest half below 100\% national}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp400}}{Below $4.00 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp310}}{Below $3.10 per day purchasing power parity (2011)}
#' }
#'
#' @examples
#' # Access Nigeria PPI table
#' ppiNGA2015
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiNGA2015[ppiNGA2015$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiNGA2015, 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
#' ppiNGA2015[ppiNGA2015$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiNGA2015"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Palestine
#'
#' @format A data frame with 11 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{deep}}{Deep poverty}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{median}}{Poorest half below 100\% national}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp375}}{Below $3.75 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Palestine PPI table
#' ppiPSE2014
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiPSE2014[ppiPSE2014$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiPSE2014, 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
#' ppiPSE2014[ppiPSE2014$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiPSE2014"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Paraguay
#'
#' @format A data frame with 8 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Paraguay PPI table
#' ppiPRY2012
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiPRY2012[ppiPRY2012$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiPRY2012, 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
#' ppiPRY2012[ppiPRY2012$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiPRY2012"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Peru
#'
#' @format A data frame with 9 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp375}}{Below $3.75 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Peru PPI table
#' ppiPER2012
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiPER2012[ppiPER2012$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiPER2012, 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
#' ppiPER2012[ppiPER2012$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiPER2012"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Philippines using legacy
#' poverty definitions
#'
#' @format A data frame with 6 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp432}}{Below $4.32 per day purchasing power parity (1993)}
#' }
#'
#' @examples
#' # Access Philippines PPI table
#' ppiPHL2014
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiPHL2014[ppiPHL2014$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiPHL2014, 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
#' ppiPHL2014[ppiPHL2014$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiPHL2014"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Philippines using new
#' poverty definitions
#'
#' @format A data frame with 11 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{median}}{Poorest half below 100\% national}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp310}}{Below $3.10 per day purchasing power parity (2011)}
#' }
#'
#' @examples
#' # Access Philippines PPI table
#' ppiPHL2014_a
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiPHL2014_a[ppiPHL2014_a$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiPHL2014_a, 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
#' ppiPHL2014_a[ppiPHL2014_a$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiPHL2014_a"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Romania
#'
#' @format A data frame with 9 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp375}}{Below $3.75 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{laeken}}{Laeken poverty line}
#' }
#'
#' @examples
#' # Access Romania PPI table
#' ppiROU2009
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiROU2009[ppiROU2009$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiROU2009, 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
#' ppiROU2009[ppiROU2009$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiROU2009"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Russia
#'
#' @format A data frame with 4 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp625}}{Below $6.25 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Russia PPI table
#' ppiRUS2010
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiRUS2010[ppiRUS2010$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiRUS2010, 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
#' ppiRUS2010[ppiRUS2010$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiRUS2010"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Senegal
#'
#' @format A data frame with 11 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{nl75}}{National poverty line (75\%)}
#' \item{\code{nl125}}{National poverty line (125\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp375}}{Below $3.75 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Senegal PPI table
#' ppiSEN2009
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiSEN2009[ppiSEN2009$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiSEN2009, 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
#' ppiSEN2009[ppiSEN2009$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiSEN2009"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Rwanda
#'
#' @format A data frame with 11 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{half100}}{Poorest half below 100\% national}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp844}}{Below $8.44 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Rwanda PPI table
#' ppiRWA2016
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiRWA2016[ppiRWA2016$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"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiRWA2016"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Sierra Leone
#'
#' @format A data frame with 8 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl75}}{National poverty line (75\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Sierra Leone PPI table
#' ppiSLE2011
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiSLE2011[ppiSLE2011$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiSLE2011, 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
#' ppiSLE2011[ppiSLE2011$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiSLE2011"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Sri Lanka
#'
#' @format A data frame with 16 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{half100}}{Poorest half below 100\% national}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp310}}{Below $3.10 per day purchasing power parity (2011)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile50}}{Below 50th percentile poverty line}
#' \item{\code{percentile60}}{Below 60th percentile poverty line}
#' \item{\code{percentile80}}{Below 80th percentile poverty line}
#' }
#'
#' @examples
#' # Access Sri Lanka PPI table
#' ppiLKA2016
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiLKA2016[ppiLKA2016$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiLKA2016, 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
#' ppiLKA2016[ppiLKA2016$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiLKA2016"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for South Africa
#'
#' @format A data frame with 8 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{nu100}}{National upper poverty line (100\%)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp400}}{Below $4.00 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access South Africa PPI table
#' ppiZAF2009
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiZAF2009[ppiZAF2009$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiZAF2009, 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
#' ppiZAF2009[ppiZAF2009$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiZAF2009"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Syria
#'
#' @format A data frame with 8 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nu100}}{National upper poverty line (100\%)}
#' \item{\code{nl100}}{National lower poverty line (100\%)}
#' \item{\code{nu150}}{National upper poverty line (150\%)}
#' \item{\code{nu200}}{National upper poverty line (200\%)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp375}}{Below $3.75 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Syria PPI table
#' ppiSYR2010
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiSYR2010[ppiSYR2010$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiSYR2010, 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
#' ppiSYR2010[ppiSYR2010$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiSYR2010"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Tanzania
#'
#' @format A data frame with 19 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp310}}{Below $3.10 per day purchasing power parity (2011)}
#' \item{\code{ppp380}}{Below $3.80 per day purchasing power parity (2011)}
#' \item{\code{ppp400}}{Below $4.00 per day purchasing power parity (2011)}
#' \item{\code{half100}}{Poorest half below 100 national}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile50}}{Below 50th percentile poverty line}
#' \item{\code{percentile60}}{Below 60th percentile poverty line}
#' \item{\code{percentile80}}{Below 80th percentile poverty line}
#' }
#'
#' @examples
#' # Access Tanzania PPI table
#' ppiTZA2016
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiTZA2016[ppiTZA2016$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiTZA2016, 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
#' ppiTZA2016[ppiTZA2016$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiTZA2016"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Tajikistan
#'
#' @format A data frame with 9 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{median}}{Poorest half below 100\% national}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Tajikistan PPI table
#' ppiTJK2015
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiTJK2015[ppiTJK2015$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiTJK2015, 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
#' ppiTJK2015[ppiTJK2015$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiTJK2015"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Timor Leste
#'
#' @format A data frame with 8 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National lower poverty line (100\%)}
#' \item{\code{nu100}}{National upper poverty line (100\%)}
#' \item{\code{nu150}}{National upper poverty line (150\%)}
#' \item{\code{nu200}}{National upper poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Timor Leste PPI table
#' ppiTLS2013
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiTLS2013[ppiTLS2013$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiTLS2013, 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
#' ppiTLS2013[ppiTLS2013$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiTLS2013"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Uganda
#'
#' @format A data frame with 13 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{half100}}{Poorest half below 100\% national}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp400}}{Below $4.00 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp844}}{Below $8.44 per day purchasing power parity (2005)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp310}}{Below $3.10 per day purchasing power parity (2011)}
#' }
#'
#' @examples
#' # Access Uganda PPI table
#' ppiUGA2015
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiUGA2015[ppiUGA2015$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiUGA2015, 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
#' ppiUGA2015[ppiUGA2015$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiUGA2015"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Vietnam
#'
#' @format A data frame with 8 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{extreme}}{USAID extreme poverty line}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp175}}{Below $1.75 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{molisa}}{MOLISA poverty line}
#' }
#'
#' @examples
#' # Access Vietnam PPI table
#' ppiVNM2009
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiVNM2009[ppiVNM2009$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiVNM2009, 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
#' ppiVNM2009[ppiVNM2009$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiVNM2009"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Yemen
#'
#' @format A data frame with 8 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp300}}{Below $3.00 per day purchasing power parity (2005)}
#' \item{\code{ppp400}}{Below $4.00 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Yemen PPI table
#' ppiYEM2009
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiYEM2009[ppiYEM2009$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiYEM2009, 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
#' ppiYEM2009[ppiYEM2009$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiYEM2009"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Cambodia
#'
#' @format A data frame with 9 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{median}}{Median poverty line}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Cambodia PPI table
#' ppiKHM2015_wb
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiKHM2015_wb[ppiKHM2015_wb$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiKHM2015_wb, 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
#' ppiKHM2015_wb[ppiKHM2015_wb$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiKHM2015_wb"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Cambodia
#'
#' @format A data frame with 9 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{median}}{Median poverty line}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Cambodia PPI table
#' ppiKHM2015_gov
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiKHM2015_gov[ppiKHM2015_gov$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiKHM2015_gov, 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
#' ppiKHM2015_gov[ppiKHM2015_gov$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiKHM2015_gov"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Cambodia
#'
#' @format A data frame with 6 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power poverty (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power poverty (2005)}
#' }
#'
#' @examples
#' # Access Cambodia PPI table
#' ppiKHM2015
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiKHM2015[ppiKHM2015$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiKHM2015, 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
#' ppiKHM2015[ppiKHM2015$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiKHM2015"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Pakistan
#'
#' @format A data frame with 10 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl50}}{National poverty line (50\%)}
#' \item{\code{nl75}}{National poverty line (75\%)}
#' \item{\code{nl125}}{National poverty line (125\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Poorest half below 100 national}
#' \item{\code{ppp250}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp375}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#'
#' @examples
#' # Access Pakistan PPI table
#' ppiPAK2009
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiPAK2009[ppiPAK2009$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiPAK2009, 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
#' ppiPAK2009[ppiPAK2009$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiPAK2009"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Ivory Coast
#'
#' @format A data frame with 15 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{ppp125}}{Below $1.00 per day purchasing power parity (2011)}
#' \item{\code{ppp250}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp500}}{Below $3.20 per day purchasing power parity (2011)}
#' \item{\code{ppp100}}{Below $5.50 per day purchasing power parity (2011)}
#' \item{\code{ppp190}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp320}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp550}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile60}}{Below 60th percentile poverty line}
#' \item{\code{percentile80}}{Below 80th percentile poverty line}
#' }
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiCIV2018"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Peru
#'
#' @format A data frame with 19 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{extreme}}{Extreme national poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp320}}{Below $3.20 per day purchasing power parity (2011)}
#' \item{\code{ppp550}}{Below $5.50 per day purchasing power parity (2011)}
#' \item{\code{ppp800}}{Below $8.00 per day purchasing power parity (2011)}
#' \item{\code{ppp1100}}{Below $11.00 per day purchasing power parity (2011)}
#' \item{\code{ppp1500}}{Below $15.00 per day purchasing power parity (2011)}
#' \item{\code{ppp2170}}{Below $21.70 per day purchasing power parity (2011)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile60}}{Below 60th percentile poverty line}
#' \item{\code{percentile80}}{Below 80th percentile poverty line}
#' }
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiPER2018"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Philippines
#'
#' @format A data frame with 18 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{food}}{Food poverty line}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp320}}{Below $3.20 per day purchasing power parity (2011)}
#' \item{\code{ppp550}}{Below $5.50 per day purchasing power parity (2011)}
#' \item{\code{ppp800}}{Below $8.00 per day purchasing power parity (2011)}
#' \item{\code{ppp1100}}{Below $11.00 per day purchasing power parity (2011)}
#' \item{\code{ppp1500}}{Below $15.00 per day purchasing power parity (2011)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile60}}{Below 60th percentile poverty line}
#' \item{\code{percentile80}}{Below 80th percentile poverty line}
#' }
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiPHL2018"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Togo
#'
#' @format A data frame with 15 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{ppp100}}{Below $1.00 per day purchasing power parity (2011)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp320}}{Below $3.20 per day purchasing power parity (2011)}
#' \item{\code{ppp550}}{Below $5.50 per day purchasing power parity (2011)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile60}}{Below 60th percentile poverty line}
#' \item{\code{percentile80}}{Below 80th percentile poverty line}
#' }
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiTGO2018"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Colombia
#'
#' @format A data frame with 12 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{half100}}{Poorest half below 100 national}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp375}}{Below $3.75 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp310}}{Below $3.10 per day purchasing power parity (2011)}
#' }
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiCOL2012_a"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Colombia
#'
#' @format A data frame with 10 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp375}}{Below $3.75 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' }
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiCOL2012"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Colombia
#'
#' @format A data frame with 19 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{extreme}}{Extreme national poverty line}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp320}}{Below $3.20 per day purchasing power parity (2011)}
#' \item{\code{ppp550}}{Below $5.50 per day purchasing power parity (2011)}
#' \item{\code{ppp800}}{Below $8.00 per day purchasing power parity (2011)}
#' \item{\code{ppp1100}}{Below $15.00 per day purchasing power parity (2011)}
#' \item{\code{ppp1500}}{Below $21.70 per day purchasing power parity (2011)}
#' \item{\code{ppp2170}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp125}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below 20th percentile poverty line}
#' \item{\code{percentile20}}{Below 40th percentile poverty line}
#' \item{\code{percentile40}}{Below 60th percentile poverty line}
#' \item{\code{percentile60}}{Below 80th percentile poverty line}
#' \item{\code{percentile80}}{NA}
#' }
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiCOL2018"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Burkina Faso
#'
#' @format A data frame with 8 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl50}}{National poverty line (50\%)}
#' \item{\code{nl75}}{National poverty line (75\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiBFA2011"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Burkina Faso
#'
#' @format A data frame with 18 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{food}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{ppp125}}{Below $1.00 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp844}}{Below $8.44 per day purchasing power parity (2005)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp310}}{Below $3.10 per day purchasing power parity (2011)}
#' \item{\code{median}}{Median poverty line}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile50}}{Below 50th percentile poverty line}
#' \item{\code{percentile60}}{Below 60th percentile poverty line}
#' \item{\code{percentile80}}{Below 80th percentile poverty line}
#' }
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiBFA2014"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Zambia
#'
#' @format A data frame with 17 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{food}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp310}}{Below $3.10 per day purchasing power parity (2011)}
#' \item{\code{median}}{Median poverty line}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 50th percentile poverty line}
#' \item{\code{percentile50}}{Below 40th percentile poverty line}
#' \item{\code{percentile60}}{Below 60th percentile poverty line}
#' \item{\code{percentile80}}{Below 80th percentile poverty line}
#' }
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiZMB2017"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Zambia
#'
#' @format A data frame with 16 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{ppp100}}{Below $1.00 per day purchasing power parity (2011)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp320}}{Below $3.20 per day purchasing power parity (2011)}
#' \item{\code{ppp550}}{Below $5.50 per day purchasing power parity (2011)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile60}}{Below 60th percentile poverty line}
#' \item{\code{percentile80}}{Below 80th percentile poverty line}
#' }
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiZMB2017_a"
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#
#' Poverty Probability Index (PPI) lookup table for Zambia
#'
#' @format A data frame with 9 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{food}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#' @source \url{https://www.povertyindex.org}
#'
#
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"ppiZMB2013_cso"
################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Zambia
#'
#' @format A data frame with 9 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{food}}{Food poverty line}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{extreme}}{USAID extreme poverty}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp200}}{Below $2.00 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' }
#' @source \url{https://www.povertyindex.org}
#'
#
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"ppiZMB2013_got"
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#
#' Poverty Probability Index (PPI) lookup table for Kenya
#'
#' @format A data frame with 17 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{ppp100}}{Below $1.00 per day purchasing power parity (2011)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp320}}{Below $3.20 per day purchasing power parity (2011)}
#' \item{\code{ppp550}}{Below $5.50 per day purchasing power parity (2011)}
#' \item{\code{ppp800}}{Below $8.00 per day purchasing power parity (2011)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile60}}{Below 50th percentile poverty line}
#' \item{\code{percentile80}}{Below 60th percentile poverty line}
#' }
#' @source \url{https://www.povertyindex.org}
#'
#
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"ppiKEN2018"
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#
#' Poverty Probability Index (PPI) lookup table for Senegal
#'
#' @format A data frame with 16 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nlFood}}{Food poverty line}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{ppp100}}{Below $1.00 per day purchasing power parity (2011)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp320}}{Below $3.20 per day purchasing power parity (2011)}
#' \item{\code{ppp550}}{Below $5.50 per day purchasing power parity (2011)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile60}}{Below 60th percentile poverty line}
#' \item{\code{percentile80}}{Below 80th percentile poverty line}
#' }
#' @source \url{https://www.povertyindex.org}
#'
#
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"ppiSEN2018"
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#
#' Poverty Probability Index (PPI) lookup table for Dominican Republic
#'
#' @format A data frame with 16 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{nlFood}}{National poverty line (150\%)}
#' \item{\code{nl150}}{National poverty line (200\%)}
#' \item{\code{ppp320}}{Below $3.20 per day purchasing power parity (2011)}
#' \item{\code{ppp550}}{Below $5.50 per day purchasing power parity (2011)}
#' \item{\code{ppp800}}{Below $8.00 per day purchasing power parity (2011)}
#' \item{\code{ppp1100}}{Below $11.00 per day purchasing power parity (2011)}
#' \item{\code{ppp1500}}{Below $15.00 per day purchasing power parity (2011)}
#' \item{\code{ppp2170}}{Below $21.70 per day purchasing power parity (2011)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile60}}{Below 60th percentile poverty line}
#' \item{\code{percentile80}}{Below 80th percentile poverty line}
#' }
#' @source \url{https://www.povertyindex.org}
#'
#
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"ppiDOM2018"
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#
#' Poverty Probability Index (PPI) lookup table for Ghana
#'
#' @format A data frame with 20 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{extreme}}{Extreme poverty line}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{ppp100}}{Below $1.00 per day purchasing power parity (2011)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp320}}{Below $3.20 per day purchasing power parity (2011)}
#' \item{\code{ppp550}}{Below $5.50 per day purchasing power parity (2011)}
#' \item{\code{ppp800}}{Below $8.00 per day purchasing power parity (2011)}
#' \item{\code{ppp1100}}{Below $11.00 per day purchasing power parity (2011)}
#' \item{\code{ppp1500}}{Below $15.00 per day purchasing power parity (2011)}
#' \item{\code{ppp2170}}{Below $21.70 per day purchasing power parity (2011)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile60}}{Below 50th percentile poverty line}
#' \item{\code{percentile80}}{Below 60th percentile poverty line}
#' }
#'
#' @examples
#' # Access Ghana PPI table
#' ppiGHA2019
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiGHA2019[ppiGHA2019$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiGHA2019, 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 is used
#' ppiScore <- 50
#' ppiGHA2019[ppiGHA2019$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
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"ppiGHA2019"
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#
#' Poverty Probability Index (PPI) lookup table for Mozambique
#'
#' @format A data frame with 15 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100)}
#' \item{\code{nl150}}{National poverty line (150)}
#' \item{\code{nl200}}{National poverty line (200)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp320}}{Below $3.20 per day purchasing power parity (2011)}
#' \item{\code{ppp550}}{Below $5.50 per day purchasing power parity (2011)}
#' \item{\code{ppp800}}{Below $8.00 per day purchasing power parity (2011)}
#' \item{\code{ppp1100}}{Below $11.00 per day purchasing power parity (2011)}
#' \item{\code{ppp1500}}{Below $15.00 per day purchasing power parity (2011)}
#' \item{\code{ppp2170}}{Below $21.70 per day purchasing power parity (2011)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile60}}{Below 50th percentile poverty line}
#' \item{\code{percentile80}}{Below 60th percentile poverty line}
#' }
#'
#' @examples
#' # Access Mozambique PPI table
#' ppiMOZ2019
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiMOZ2019[ppiMOZ2019$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiMOZ2019, 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 is used
#' ppiScore <- 50
#' ppiMOZ2019[ppiMOZ2019$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
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"ppiMOZ2019"
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#
#' Poverty Probability Index (PPI) lookup table for Myanmar
#'
#' @format A data frame with 20 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100)}
#' \item{\code{extreme}}{National poverty line (150)}
#' \item{\code{nl150}}{National poverty line (200)}
#' \item{\code{nl200}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp100}}{Below $3.20 per day purchasing power parity (2011)}
#' \item{\code{ppp190}}{Below $5.50 per day purchasing power parity (2011)}
#' \item{\code{ppp320}}{Below $8.00 per day purchasing power parity (2011)}
#' \item{\code{ppp550}}{Below $11.00 per day purchasing power parity (2011)}
#' \item{\code{ppp800}}{Below $15.00 per day purchasing power parity (2011)}
#' \item{\code{ppp1100}}{Below $21.70 per day purchasing power parity (2011)}
#' \item{\code{ppp1500}}{Below 20th percentile poverty line}
#' \item{\code{ppp2170}}{Below 40th percentile poverty line}
#' \item{\code{ppp125}}{Below 50th percentile poverty line}
#' \item{\code{ppp250}}{Below 60th percentile poverty line}
#' \item{\code{ppp500}}{Below 80th percentile poverty line}
#' \item{\code{percentile20}}{NA}
#' \item{\code{percentile40}}{NA}
#' \item{\code{percentile60}}{NA}
#' \item{\code{percentile80}}{NA}
#' }
#'
#' @examples
#' # Access Myanmar PPI table
#' ppiMMR2019
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiMMR2019[ppiMMR2019$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiMMR2019, 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
#' ppiMMR2019[ppiMMR2019$score == ppiScore, "extreme"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
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"ppiMMR2019"
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#
#' Poverty Probability Index (PPI) lookup table for Rwanda
#'
#' @format A data frame with 20 columns and 101 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100)}
#' \item{\code{extreme}}{National poverty line (150)}
#' \item{\code{nl150}}{National poverty line (200)}
#' \item{\code{nl200}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp100}}{Below $3.20 per day purchasing power parity (2011)}
#' \item{\code{ppp190}}{Below $5.50 per day purchasing power parity (2011)}
#' \item{\code{ppp320}}{Below $8.00 per day purchasing power parity (2011)}
#' \item{\code{ppp550}}{Below $11.00 per day purchasing power parity (2011)}
#' \item{\code{ppp800}}{Below $15.00 per day purchasing power parity (2011)}
#' \item{\code{ppp1100}}{Below $21.70 per day purchasing power parity (2011)}
#' \item{\code{ppp1500}}{Below 20th percentile poverty line}
#' \item{\code{ppp2170}}{Below 40th percentile poverty line}
#' \item{\code{ppp125}}{Below 50th percentile poverty line}
#' \item{\code{ppp250}}{Below 60th percentile poverty line}
#' \item{\code{ppp500}}{Below 80th percentile poverty line}
#' \item{\code{percentile20}}{NA}
#' \item{\code{percentile40}}{NA}
#' \item{\code{percentile60}}{NA}
#' \item{\code{percentile80}}{NA}
#' }
#'
#' @examples
#' # Access Rwanda PPI table
#' ppiRWA2019
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiRWA2019[ppiRWA2019$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiRWA2019, 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 is used
#' ppiScore <- 50
#' ppiRWA2019[ppiRWA2019$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
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"ppiRWA2019"
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#
#' Poverty Probability Index (PPI) lookup table for Malawi
#'
#' @format A data frame with 16 columns and 100 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{extreme}}{Extreme poverty line}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{ppp100}}{Below $1.00 per day purchasing power parity (2011)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp320}}{Below $3.20 per day purchasing power parity (2011)}
#' \item{\code{ppp550}}{Below $5.50 per day purchasing power parity (2011)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile60}}{Below 50th percentile poverty line}
#' \item{\code{percentile80}}{Below 60th percentile poverty line}
#' }
#'
#' @examples
#' # Access Malawi PPI table
#' ppiMWI2020
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiMWI2020[ppiMWI2020$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiMWI2020, 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
#' ppiMWI2020[ppiMWI2020$score == ppiScore, "extreme"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
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"ppiMWI2020"
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#
#' Poverty Probability Index (PPI) lookup table for Indonesia
#'
#' @format A data frame with 20 columns and 100 rows:
#' \describe{
#' \item{\code{score}}{PPI score}
#' \item{\code{nl100}}{National poverty line (100\%)}
#' \item{\code{extreme}}{Extreme poverty line}
#' \item{\code{nl150}}{National poverty line (150\%)}
#' \item{\code{nl200}}{National poverty line (200\%)}
#' \item{\code{ppp100}}{Below $1.00 per day purchasing power parity (2011)}
#' \item{\code{ppp190}}{Below $1.90 per day purchasing power parity (2011)}
#' \item{\code{ppp320}}{Below $3.20 per day purchasing power parity (2011)}
#' \item{\code{ppp550}}{Below $5.50 per day purchasing power parity (2011)}
#' \item{\code{ppp800}}{Below $8.00 per day purchasing power parity (2011)}
#' \item{\code{ppp1100}}{Below $11.00 per day purchasing power parity (2011)}
#' \item{\code{ppp1500}}{Below $15.00 per day purchasing power parity (2011)}
#' \item{\code{ppp2170}}{Below $21.70 per day purchasing power parity (2011)}
#' \item{\code{ppp125}}{Below $1.25 per day purchasing power parity (2005)}
#' \item{\code{ppp250}}{Below $2.50 per day purchasing power parity (2005)}
#' \item{\code{ppp500}}{Below $5.00 per day purchasing power parity (2005)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile60}}{Below 50th percentile poverty line}
#' \item{\code{percentile80}}{Below 60th percentile poverty line}
#' }
#'
#' @examples
#' # Access Indonesia PPI table
#' ppiIDN2020
#'
#' # Given a specific PPI score (from 0 - 100), get the row of poverty
#' # probabilities from PPI table it corresponds to
#' ppiScore <- 50
#' ppiIDN2020[ppiIDN2020$score == ppiScore, ]
#'
#' # Use subset() function to get the row of poverty probabilities corresponding
#' # to specific PPI score
#' ppiScore <- 50
#' subset(ppiIDN2020, 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
#' ppiIDN2020[ppiIDN2020$score == ppiScore, "extreme"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiIDN2020"
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