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77 lines
3.3 KiB
R
77 lines
3.3 KiB
R
# ==================================================================== #
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# TITLE #
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# Antimicrobial Resistance (AMR) Analysis #
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# #
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# SOURCE #
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# https://gitlab.com/msberends/AMR #
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# #
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# LICENCE #
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# (c) 2019 Berends MS (m.s.berends@umcg.nl), Luz CF (c.f.luz@umcg.nl) #
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# #
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# This R package is free software; you can freely use and distribute #
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# it for both personal and commercial purposes under the terms of the #
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# GNU General Public License version 2.0 (GNU GPL-2), as published by #
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# the Free Software Foundation. #
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# #
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# This R package was created for academic research and was publicly #
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# released in the hope that it will be useful, but it comes WITHOUT #
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# ANY WARRANTY OR LIABILITY. #
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# Visit our website for more info: https://msberends.gitab.io/AMR. #
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# ==================================================================== #
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#' Guess antibiotic column
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#'
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#' This tries to find a column name in a data set based on information from the \code{\link{antibiotics}} data set.
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#' @param tbl a \code{data.frame}
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#' @param col a character to look for
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#' @param verbose a logical to indicate whether additional info should be printed
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#' @importFrom dplyr %>% select filter_all any_vars
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#' @export
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#' @inheritSection AMR Read more on our website!
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# @examples
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#
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guess_ab <- function(tbl = NULL, col = NULL, verbose = FALSE) {
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if (is.null(tbl) & is.null(col)) {
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return(as.name("guess_ab"))
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}
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#stop("This function should not be called directly.")
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if (length(col) > 1) {
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warning("argument 'col' has length > 1 and only the first element will be used")
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col <- col[1]
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}
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if (!is.data.frame(tbl)) {
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stop("`tbl` must be a data.frame")
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}
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tbl_names <- colnames(tbl)
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ab_result <- antibiotics %>%
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select(atc:trade_name) %>%
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filter_all(any_vars(tolower(.) == tolower(col)))
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if (nrow(ab_result) > 1) {
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# get most likely one
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if (col %in% ab_result$atc) {
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ab_result <- ab_result %>% filter(atc == col)
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} else if (col %in% ab_result$certe) {
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ab_result <- ab_result %>% filter(certe == col)
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} else if (col %in% ab_result$umcg) {
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ab_result <- ab_result %>% filter(umcg == col)
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} else if (col %in% ab_result$umcg) {
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ab_result <- ab_result %>% filter(official == col)
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} else {
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ab_result <- ab_result[1,]
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}
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}
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tbl_result <- tbl_names[tbl_names %in% ab_result]
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if (length(tbl_result) > 1) {
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tbl_result <- tbl_result[1]
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warning('using column `', tbl_result, '` for col "', col, '"', call. = FALSE)
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} else if (length(tbl_result) == 0) {
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if (verbose == TRUE) {
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message('no result found for col "', col, '"')
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}
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return(NULL)
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} else if (verbose == TRUE) {
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message('using column `', tbl_result, '` for col "', col, '"')
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}
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tbl_result
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}
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