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#' povcal_info
#'
#' Non-memoised version of povcalnet_info()
#'
#' @param url character: Path to file: This parameter should not be modified.
#'
#' @return data.frame
#'
#' @examples
#' \donttest{
#' povcalnet_info()
#' }
povcal_info <- function(url = "http://iresearch.worldbank.org/povcalnet") {
url <- paste0(url, "/js/initCItem2014.js")
x <- readLines(con = url)
x <- js::esprima_parse(x)
x <- jsonlite::fromJSON(x, simplifyVector = TRUE)
x <- x[["body"]][["declarations"]][[1]][["init"]][["elements"]][[1]][["arguments"]]
x <- purrr::map(x, "value")
x <- purrr::map(x, function(x) as.data.frame(matrix(x, ncol = 12, byrow = TRUE), stringsAsFactors = FALSE))
x <- dplyr::bind_rows(x)
names(x) <- c("country_code",
"wb_region",
"un_region",
"income_region",
"country_name",
"coverage_type",
"n1",
"n2",
"n3",
"n4",
"n5",
"year"
)
x <- tidyr::separate_(x, "country_code", into = c("country_code", "coverage_code"))
x$country_code <- stringr::str_sub(x$country_code, start = 1L, end = 3L)
x$coverage_level <- coverage_level_lkup[x$coverage_type]
x$coverage_type <- coverage_type_lkup[x$coverage_type]
x <- x[, c("country_code",
"country_name",
"wb_region",
"un_region",
"income_region",
"coverage_level",
"coverage_type",
"coverage_code",
"year")]
x$year <- lapply(x$year, function(y) floor(as.numeric(strsplit(y, split = ",", fixed = TRUE)[[1]])))
return(x)
}
#' povcalnet_info()
#'
#' Download updated information on available countries, regions, and surveys from the PovcalNet API
#'
#' @param url character: Path to file: This parameter should not be modified.
#'
#' @return data frame
#' @export
#'
#'
#' @examples
#' \donttest{
#' povcalnet_info()
#' }
povcalnet_info <- memoise::memoise(povcal_info)
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