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(v0.7.1.9081) bug_drug fixes
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@ -25,12 +25,16 @@
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#' @inheritParams eucast_rules
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#' @param combine_IR logical to indicate whether values R and I should be summed
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#' @param add_ab_group logical to indicate where the group of the antimicrobials must be included as a first column
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#' @param ... argumments passed on to \code{\link{mo_name}}
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#' @param FUN the function to call on the \code{mo} column to transform the microorganism IDs, defaults to \code{\link{mo_shortname}}
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#' @param ... argumments passed on to \code{FUN}
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#' @inheritParams rsi_df
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#' @inheritParams base::formatC
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#' @importFrom dplyr rename
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#' @importFrom tidyr spread
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#' @importFrom clean freq
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#' @details The function \code{format} calculates the resistance per bug-drug combination. Use \code{combine_IR = FALSE} (default) to test R vs. S+I and \code{combine_IR = TRUE} to test R+I vs. S.
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#'
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#' The language of the output can be overwritten with \code{options(AMR_locale)}, please see \link{translate}.
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#' @export
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#' @rdname bug_drug_combinations
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#' @source \strong{M39 Analysis and Presentation of Cumulative Antimicrobial Susceptibility Test Data, 4th Edition}, 2014, \emph{Clinical and Laboratory Standards Institute (CLSI)}. \url{https://clsi.org/standards/products/microbiology/documents/m39/}.
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@ -40,8 +44,21 @@
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#' x <- bug_drug_combinations(example_isolates)
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#' x
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#' format(x)
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#'
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#' # Use FUN to change to transformation of microorganism codes
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#' x <- bug_drug_combinations(example_isolates,
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#' FUN = mo_gramstain)
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#'
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#' x <- bug_drug_combinations(example_isolates,
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#' FUN = function(x) ifelse(x == "B_ESCHR_COLI",
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#' "E. coli",
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#' "Others"))
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#' }
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bug_drug_combinations <- function(x, col_mo = NULL, minimum = 30) {
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bug_drug_combinations <- function(x,
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col_mo = NULL,
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minimum = 30,
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FUN = mo_shortname,
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...) {
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if (!is.data.frame(x)) {
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stop("`x` must be a data frame.", call. = FALSE)
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}
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@ -56,7 +73,7 @@ bug_drug_combinations <- function(x, col_mo = NULL, minimum = 30) {
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}
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x <- x %>%
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mutate(col_mo = x %>% pull(col_mo)) %>%
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mutate(mo = x %>% pull(col_mo) %>% FUN(...)) %>%
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filter(mo %in% (clean::freq(mo) %>%
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filter(count >= minimum) %>%
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pull(item))) %>%
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@ -76,31 +93,37 @@ bug_drug_combinations <- function(x, col_mo = NULL, minimum = 30) {
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#' @exportMethod format.bug_drug_combinations
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#' @export
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#' @rdname bug_drug_combinations
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format.bug_drug_combinations <- function(x, combine_IR = FALSE, add_ab_group = TRUE, ...) {
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format.bug_drug_combinations <- function(x,
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combine_IR = FALSE,
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add_ab_group = TRUE,
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decimal.mark = getOption("OutDec"),
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big.mark = ifelse(decimal.mark == ",", ".", ",")) {
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if (combine_IR == FALSE) {
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x$isolates <- x$R
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} else {
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x$isolates <- x$R + x$I
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}
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y <- x %>%
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mutate(mo = mo_name(mo, ...),
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txt = paste0(percent(isolates / total, force_zero = TRUE),
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" (", trimws(format(isolates, big.mark = ",")), "/",
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trimws(format(total, big.mark = ",")), ")")) %>%
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mutate(txt = paste0(percent(isolates / total, force_zero = TRUE, decimal.mark = decimal.mark, big.mark = big.mark),
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" (", trimws(format(isolates, big.mark = big.mark)), "/",
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trimws(format(total, big.mark = big.mark)), ")")) %>%
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select(ab, mo, txt) %>%
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spread(mo, txt) %>%
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mutate_all(~ifelse(is.na(.), "", .)) %>%
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mutate(ab = paste0(ab_name(ab), " (", as.ab(ab), ", ", ab_atc(ab), ")"),
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ab_group = ab_group(ab)) %>%
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mutate(ab_group = ab_group(ab),
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ab = paste0(ab_name(ab), " (", as.ab(ab), ", ", ab_atc(ab), ")")) %>%
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select(ab_group, ab, everything()) %>%
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arrange(ab_group, ab) %>%
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mutate(ab_group = ifelse(ab_group != lag(ab_group) | is.na(lag(ab_group)), ab_group, ""))
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if (add_ab_group == FALSE) {
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y <- y %>% select(-ab_group)
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y <- y %>% select(-ab_group) %>% rename("Antibiotic" = ab)
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colnames(y)[1] <- translate_AMR(colnames(y)[1], language = get_locale(), only_unknown = FALSE)
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} else {
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y <- y %>% rename("Group" = ab_group,
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"Antibiotic" = ab)
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colnames(y)[1:2] <- translate_AMR(colnames(y)[1:2], language = get_locale(), only_unknown = FALSE)
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}
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y <- y %>% rename("Group" = ab_group,
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"Antibiotic" = ab)
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y
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}
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