R/00_cambodia.R

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

################################################################################
#
#' 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 Cambodia for 2023
#'
#' @format A data frame with 14 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{ppp550}}{Below $3.20 per day purchasing power parity (2011)}
#' \item{\code{ppp800}}{Below $3.20 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{ppp685}}{Below $6.85 per day purchasing power parity (2017)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile60}}{Below 60th percentile poverty line}
#' \item{\code{percentile80}}{Below 80th percentile poverty line}
#' }
#'
#' @examples
#'   # Access Cambodia PPI table
#'   ppiKHM2023
#'
#'   # Given a specific PPI score (from 0 - 100), get the row of poverty
#'   # probabilities from PPI table it corresponds to
#'   ppiScore <- 50
#'   ppiKHM2023[ppiKHM2023$score == ppiScore, ]
#'
#'   # Use subset() function to get the row of poverty probabilities corresponding
#'   # to specific PPI score
#'   ppiScore <- 50
#'   subset(ppiKHM2023, 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
#'   ppiKHM2023[ppiKHM2023$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
################################################################################
"ppiKHM2023"