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45 lines
1.8 KiB
45 lines
1.8 KiB
#' Minimum wage
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#'
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#' Return tthe hourly minimum wage set by federal law. The real minimum wage is the federal
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#' hourly minimum wage adjusted for inflation.
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#'
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#' Wages are in 2016 dollars, excluding the nominal federal minimum wage. Share of average
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#' wages based on the average wages of production and nonsupervisory workers. For state
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#' minimum wages, see EPI’s minimum wage tracker.
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#'
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#' Population sample: Production and nonsupervisory workers (average wages)
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#'
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#' @return \code{tbl_df} with data filtered by the selected criteria.
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#' @references \href{https://www.epi.org/data/}{Economic Policy Institute Data Library}
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#' @note Data source: U.S. Department of Labor Wage and Hour Division | CES
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#' @return data frame
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#' @export
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#' @examples
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#' if (not_dos()) get_minimum_wage()
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get_minimum_wage <- function() {
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params <- list(subject="minwage")
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res <- epi_query(params)
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if (is.null(res)) return(data.frame())
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cols <- stringi::stri_trans_tolower(res$columns$name)
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cols <- stringi::stri_replace_all_regex(cols, "[\\('%,\\)]", "")
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cols <- stringi::stri_replace_all_fixed(cols, "&", "_and_")
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cols <- stringi::stri_replace_all_fixed(cols, "/", "_")
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cols <- stringi::stri_replace_all_regex(cols, "[[:space:]" %s+%
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rawToChar(as.raw(c(0xe2, 0x80, 0x93))) %s+% "-]+",
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"_")
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cols <- stringi::stri_replace_first_regex(cols, "([[:digit:]])", "x_$1")
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cols <- stringi::stri_replace_all_regex(cols, "_+", "_")
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out <- setNames(as_data_frame(res$data), cols)
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out <- dplyr::mutate_all(out, "clean_cols")
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out <- suppressMessages(readr::type_convert(out))
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cite <- html_text(read_html(res$meta$source %||% "<p>Economic Policy Institute</p>"))
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message(sprintf('Note: %s\nCitation: "%s"', res$meta$notes %||% "None", cite))
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out
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}
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