R/readJMD.R

Defines functions print.ReadJMD check_input_ReadJMD JPNregions ReadJMD

Documented in check_input_ReadJMD JPNregions print.ReadJMD ReadJMD

# --------------------------------------------------- #
# Author: Marius D. PASCARIU
# Last update: Tue Dec 21 12:25:27 2021
# --------------------------------------------------- #

#' Download the Japanese Mortality Database (JMD)
#'
#' Download detailed mortality and population data of the 47 prefectures in
#' Japan, in a single object. The source of data is the
#' \href{https://www.ipss.go.jp/p-toukei/JMD/index-en.asp}{
#' Japanese Mortality Database}.
#'
#' @details
#' (Description taken from the JMD website).
#'
#' The Japanese Mortality Database is a comprehensively-reorganized mortality
#' database that is optimized for mortality research and consistent with the
#' Human Mortality Database. This database is provided as a part of the research
#' project "Demographic research on the causes and the socio-economic
#' consequence of longetivity extension in Japan" (2011-2013), "Demographic
#' research on longevity extension, population aging, and their effects on the
#' social security and socio-economic structures in Japan" (2014-2016), and
#' "Comprehensive research from a demographic viewpoint on the longevity
#' revolution" (2017-2019) at the National Institute of Population and Social
#' Security Research.
#'
#' The Japanese Mortality Database is designed to provide the life tables to all
#' the people who are interested in Japanese mortality including domestic and
#' foreign mortality researchers for the purpose of mortality research.
#' Especially because we have structured it to conform with the HMD, our
#' database is suitable for international comparison, we put emphasis on the
#' compatibility with the HMD more than our country's particular
#' characteristics. Therefore, the life tables by JMD do not necesarlily
#' exhibit the same values as ones by the official life tables prepared and
#' released by the Statistics and Information Department, Minister's
#' Secretariat, Ministry of Health, Labor and Welfare according to the different
#' base population or the methods for estimating the tables. When doing things
#' other than mortality research, if life table that statistically displays our
#' country's mortality situation is necessary, please use the official life
#' table that has been prepared by the Statistics and Information Department,
#' Minister's Secretariat, Ministry of Health, Labor and Welfare.
#'
#' At the present time, we offer the data for All Japan and by prefecture.
#' The project team is studying the methodology for estimating life tables
#' along with data preparation. Therefore, the data may be updated when a
#' new methodology is adopted. Please refer to "Methods" for further
#' information.
#'
#' @inheritParams ReadHMD
#' @param regions Specify the region specific data you want to download by
#' adding the JMD region code/s. Options: \code{"Japan", "Hokkaido", "Aomori",
#' "Iwate", "Miyagi","Akita", "Yamagata", "Fukushima", "Ibaraki", "Tochigi",
#' "Gunma", "Saitama", "Chiba", "Tokyo", "Kanagawa", "Niigata", "Toyama",
#' "Ishikawa", "Fukui", "Yamanashi", "Nagano", "Gifu", "Shizuoka","Aichi",
#' "Mie", "Shiga", "Kyoto", "Osaka", "Hyogo", "Nara", "Wakayama", "Tottori",
#' "Shimane", "Okayama", "Hiroshima", "Yamaguchi", "Tokushima", "Kagawa",
#' "Ehime", "Kochi", "Fukuoka", "Saga", "Nagasaki", "Kumamoto", "Oita",
#' "Miyazaki", "Kagoshima", "Okinawa"}.
#' If \code{NULL} data for all the regions are downloaded at once.
#' @return A \code{ReadJMD} object that contains:
#'  \item{input}{List with the input values;}
#'  \item{data}{Data downloaded from JMD;}
#'  \item{download.date}{Time stamp;}
#'  \item{years}{Numerical vector with the years covered in the data;}
#'  \item{ages}{Numerical vector with ages covered in the data.}
#' @author Marius D. Pascariu
#' @seealso
#' \code{\link{ReadHMD}}
#' \code{\link{ReadCHMD}}
#' @examples
#' \dontrun{
#' # Download demographic data for Fukushima and Tokyo regions in 1x1 format
#'
#' # Death counts. We don't want to export data outside R.
#' JMD_Dx <- ReadJMD(what = "Dx",
#'                   regions = c('Fukushima', 'Tokyo'),
#'                   interval  = "1x1",
#'                   save = FALSE)
#' ls(JMD_Dx)
#' JMD_Dx
#'
#' # Download life tables for female population in all the states and export data.
#' LTF <- ReadJMD(what = "LT_f", interval  = "5x5", save = TRUE)
#' LTF
#' }
#' @export
ReadJMD <- function(what,
                    regions = NULL,
                    interval = "1x1",
                    save = FALSE,
                    show = TRUE){
  # Step 1 - Validate input & Progress bar setup
  if (is.null(regions)) {
    regions <- JPNregions()
  }

  input <- as.list(environment())
  check_input_ReadJMD(input)
  nr <- length(regions)

  if (show) {
    pb <- startpb(0, nr + 1)
    on.exit(closepb(pb))
    setpb(pb, 0)
  }

  # Step 2 - Do the loop for the other regions
  D <- data.frame()
  for (i in 1:nr) {
    if (show) {
      setpb(pb, i)
      cat(paste("      :Downloading", regions[i], "    "))
    }
    region_code <- substrRight(paste0(0, match(regions[i], JPNregions()) - 1), 2)
    d <- ReadHMD.core(
      what = what,
      country = region_code,
      interval = interval,
      username = NULL,
      password = NULL,
      link = "https://www.ipss.go.jp/p-toukei/JMD/")
    colnames(d)[colnames(d) == "country"] <- "region"

    D <- rbind(D, d)
  }

  out <- list(
    input = input,
    data = D,
    download.date = date(),
    years = sort(unique(D$Year)),
    ages = unique(D$Age)
    )
  out <- structure(class = "ReadJMD", out)

  # Step 3 - Write a file with the database in your working directory
  if (show) setpb(pb, nr + 1)
  if (save) saveOutput(out, show, prefix = "JMD")

  # Exit
  return(out)
}


#' region codes
#' @keywords internal
JPNregions <- function() {
  c("Japan",

    "Aichi",
    "Akita",
    "Aomori",
    "Chiba",
    "Ehime",
    "Fukushima",
    "Fukui",
    "Fukuoka",
    "Gifu",
    "Gunma",
    "Hyogo",
    "Hokkaido",
    "Hiroshima",
    "Iwate",
    "Ibaraki",
    "Ishikawa",
    "Kagawa",
    "Kanagawa",
    "Kagoshima",
    "Kyoto",
    "Kochi",
    "Kumamoto",
    "Miyazaki",
    "Miyagi",
    "Mie",
    "Nara",
    "Nagano",
    "Nagasaki",
    "Niigata",
    "Oita",
    "Okayama",
    "Okinawa",
    "Osaka",
    "Saitama",
    "Saga",
    "Shizuoka",
    "Shiga",
    "Shimane",
    "Tochigi",
    "Tokyo",
    "Tokushima",
    "Toyama",
    "Tottori",
    "Wakayama",
    "Yamagata",
    "Yamaguchi",
    "Yamanashi"
    )
}



#' Check input ReadAHMD
#' @param x a list containing the input arguments from ReadAHMD function
#' @keywords internal
check_input_ReadJMD <- function(x) {

  if (!(x$interval %in% data_format())) {
    stop(
      "The interval ",
      x$interval,
      " does not exist in JMD ",
      "Try one of these options:\n",
      paste(data_format(), collapse = ", "),
      call. = FALSE
      )
  }

  if (!(x$what %in% HMDindices())) {
    stop(
      x$what,
      " does not exist in JMD. Try one of these options:\n",
      paste(HMDindices(), collapse = ", "),
      call. = FALSE
      )
  }

  if (all(!(x$regions %in% JPNregions()))) {
    stop(
      "Something is wrong in the region codes supplied.\n",
      "Try one or more of these options:\n",
      paste(JPNregions(), collapse = ", "),
      call. = FALSE
      )
  }
}



#' Print ReadJMD
#' @param x An object of class \code{"ReadJMD"}
#' @param ... Further arguments passed to or from other methods.
#' @keywords internal
#' @export
print.ReadJMD <- function(x, ...){
  what <- x$input$what
  cat("Japanese Mortality Database\n")
  cat("Web Address   : https://www.ipss.go.jp/p-toukei/JMD/index-en.asp\n")
  cat("Download Date :", x$download.date, "\n")
  cat("Type of data  :", what, "\n")
  cat(paste("Interval      :", x$input$interval, "\n"))
  cat(paste("Years         :", x$years[1], "--", rev(x$years)[1], "\n"))
  cat(paste("Ages          :", ageMsg(what, x), "\n"))
  cat("Regions       :", x$input$regions, "\n")
  cat("\nData:\n")
  print(head_tail(x$data, hlength = 5, tlength = 5))
}

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MortalityLaws documentation built on July 1, 2022, 5:06 p.m.