R/00_indonesia.R

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#
#' 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}
#'
#
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"ppiIDN2012"


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#
#' 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, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
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"ppiIDN2012_a"


################################################################################
#
#' Poverty Probability Index (PPI) lookup table for Indonesia
#'
#' @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 $5.00 per day purchasing power parity (2005)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile60}}{Below 50th percentile poverty line}
#' \item{\code{percentile80}}{Below 60th percentile poverty line}
#' }
#'
#' @examples
#'   # Access Indonesia PPI table
#'   ppiIDN2020
#'
#'   # Given a specific PPI score (from 0 - 100), get the row of poverty
#'   # probabilities from PPI table it corresponds to
#'   ppiScore <- 50
#'   ppiIDN2020[ppiIDN2020$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, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
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"ppiIDN2020"


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#
#' Poverty Probability Index (PPI) lookup table for Indonesia for 2023
#'
#' @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{ppp365}}{Below $3.65 per day purchasing power parity (2017)}
#' \item{\code{ppp685}}{Below $6.85 per day purchasing power parity (2017)}
#' \item{\code{ppp320}}{Below $3.20 per day purchasing power parity (2011)}
#' \item{\code{ppp550}}{Below $5.50 per day purchasing power parity (2011)}
#' \item{\code{percentile20}}{Below 20th percentile poverty line}
#' \item{\code{percentile40}}{Below 40th percentile poverty line}
#' \item{\code{percentile60}}{Below 50th percentile poverty line}
#' \item{\code{percentile80}}{Below 60th percentile poverty line}
#' }
#'
#' @examples
#'   # Access Indonesia PPI table
#'   ppiIDN2023
#'
#'   # Given a specific PPI score (from 0 - 100), get the row of poverty
#'   # probabilities from PPI table it corresponds to
#'   ppiScore <- 50
#'   ppiIDN2023[ppiIDN2023$score == ppiScore, ]
#'
#'   # Use subset() function to get the row of poverty probabilities corresponding
#'   # to specific PPI score
#'   ppiScore <- 50
#'   subset(ppiIDN2023, 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
#'   ppiIDN2023[ppiIDN2023$score == ppiScore, "nl100"]
#'
#' @source \url{https://www.povertyindex.org}
#'
#
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"ppiIDN2023"
validmeasures/ppitables documentation built on April 23, 2024, 8:15 p.m.