From 1bc2e04e1ca62dc85502456559c934ed908905e0 Mon Sep 17 00:00:00 2001 From: Matthijs Berends Date: Mon, 17 Jun 2024 22:19:38 +0200 Subject: [PATCH] (v2.1.1.9058) fix hosts, add translations --- DESCRIPTION | 2 +- NEWS.md | 2 +- R/sir.R | 50 +++++++++++++++++++++++++++++--------- R/sysdata.rda | Bin 90808 -> 93576 bytes data-raw/translations.tsv | 13 ++++++++++ 5 files changed, 53 insertions(+), 14 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index b0e873f8..2e8ac2bf 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,5 +1,5 @@ Package: AMR -Version: 2.1.1.9057 +Version: 2.1.1.9058 Date: 2024-06-17 Title: Antimicrobial Resistance Data Analysis Description: Functions to simplify and standardise antimicrobial resistance (AMR) diff --git a/NEWS.md b/NEWS.md index 3e291835..095e37fc 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,4 +1,4 @@ -# AMR 2.1.1.9057 +# AMR 2.1.1.9058 *(this beta version will eventually become v3.0. We're happy to reach a new major milestone soon, which will be all about the new One Health support! Install this beta using [the instructions here](https://msberends.github.io/AMR/#latest-development-version).)* diff --git a/R/sir.R b/R/sir.R index 7bd23c94..ffd29892 100755 --- a/R/sir.R +++ b/R/sir.R @@ -844,6 +844,25 @@ convert_host <- function(x, lang = get_AMR_locale()) { x_out[is.na(x_out) & (x %like% "horse|equine" | x %like% translate_AMR("horse|horses|equine", lang))] <- "horse" x_out[is.na(x_out) & (x %like% "aqua|fish" | x %like% translate_AMR("aquatic|fish", lang))] <- "aquatic" x_out[is.na(x_out) & (x %like% "bird|chicken|poultry|avia" | x %like% translate_AMR("bird|birds|poultry", lang))] <- "poultry" + # additional animals, not necessarily currently in breakpoint guidelines: + x_out[is.na(x_out) & (x %like% "camel|camelid" | x %like% translate_AMR("camel|camels|camelid", lang))] <- "camels" + x_out[is.na(x_out) & (x %like% "deer|cervine" | x %like% translate_AMR("deer|deers|cervine", lang))] <- "deer" + x_out[is.na(x_out) & (x %like% "donkey|asinine" | x %like% translate_AMR("donkey|donkeys|asinine", lang))] <- "donkeys" + x_out[is.na(x_out) & (x %like% "ferret|musteline" | x %like% translate_AMR("ferret|ferrets|musteline", lang))] <- "ferrets" + x_out[is.na(x_out) & (x %like% "goat|caprine" | x %like% translate_AMR("goat|goats|caprine", lang))] <- "goats" + x_out[is.na(x_out) & (x %like% "guinea pig|caviine" | x %like% translate_AMR("guinea pig|guinea pigs|caviine", lang))] <- "guinea pigs" + x_out[is.na(x_out) & (x %like% "hamster|cricetine" | x %like% translate_AMR("hamster|hamsters|cricetine", lang))] <- "hamsters" + x_out[is.na(x_out) & (x %like% "monkey|simian" | x %like% translate_AMR("monkey|monkeys|simian", lang))] <- "monkeys" + x_out[is.na(x_out) & (x %like% "mouse|murine" | x %like% translate_AMR("mouse|mice|murine", lang))] <- "mice" + x_out[is.na(x_out) & (x %like% "pig|porcine" | x %like% translate_AMR("pig|pigs|porcine", lang))] <- "pigs" + x_out[is.na(x_out) & (x %like% "rabbit|leporine" | x %like% translate_AMR("rabbit|rabbits|leporine", lang))] <- "rabbits" + x_out[is.na(x_out) & (x %like% "rat|ratine" | x %like% translate_AMR("rat|rats|ratine", lang))] <- "rats" + x_out[is.na(x_out) & (x %like% "sheep|ovine" | x %like% translate_AMR("sheep|sheeps|ovine", lang))] <- "sheep" + x_out[is.na(x_out) & (x %like% "snake|serpentine" | x %like% translate_AMR("snake|snakes|serpentine", lang))] <- "snakes" + x_out[is.na(x_out) & (x %like% "turkey|meleagrine" | x %like% translate_AMR("turkey|turkeys|meleagrine", lang))] <- "turkey" + if (message_not_thrown_before("convert_host", x) && any(is.na(x_out) & !is.na(x))) { + warning_("The following host(s) are invalid: ", vector_and(x[is.na(x_out) & !is.na(x)]), call = FALSE, immediate = TRUE) + } x_out[x_out == "ecoff"] <- "ECOFF" x_out } @@ -912,18 +931,21 @@ as_sir_method <- function(method_short, host <- breakpoint_type } } - if (!is.null(current_df) && length(host) == 1 && host %in% colnames(current_df) && any(current_df[[host]] %like% "[A-Z]", na.rm = TRUE)) { - host <- current_df[[host]] - } else if (length(host) != length(x)) { - # for dplyr's across() - cur_column_dplyr <- import_fn("cur_column", "dplyr", error_on_fail = FALSE) - if (!is.null(cur_column_dplyr) && is.data.frame(current_df)) { - # try to get current column, which will only be available when in across() - host <- tryCatch(cur_column_dplyr(), - error = function(e) host - ) + if (!is.null(host) && !all(toupper(as.character(host)) %in% c("HUMAN", "ECOFF"))) { + if (!is.null(current_df) && length(host) == 1 && host %in% colnames(current_df) && any(current_df[[host]] %like% "[A-Z]", na.rm = TRUE)) { + host <- current_df[[host]] + } else if (length(host) != length(x)) { + # for dplyr's across() + cur_column_dplyr <- import_fn("cur_column", "dplyr", error_on_fail = FALSE) + if (!is.null(cur_column_dplyr) && is.data.frame(current_df)) { + # try to get current column, which will only be available when in across() + host <- tryCatch(cur_column_dplyr(), + error = function(e) host + ) + } } } + host.bak <- host host <- convert_host(host) if (breakpoint_type == "animal" && message_not_thrown_before("as.sir", "host_preferred_order")) { message_("Please note that in the absence of specific veterinary breakpoints for certain animal hosts, breakpoints for dogs, cattle, swine, cats, horse, aquatic, and poultry, in that order, are used as substitutes.\n\n") @@ -1169,6 +1191,10 @@ as_sir_method <- function(method_short, mo_current <- df_unique[i, "mo", drop = TRUE] ab_current <- df_unique[i, "ab", drop = TRUE] host_current <- df_unique[i, "host", drop = TRUE] + if (is.na(host_current)) { + # fall back to human + host_current <- "human" + } uti_current <- df_unique[i, "uti", drop = TRUE] notes_current <- character(0) if (isFALSE(uti_current)) { @@ -1229,7 +1255,7 @@ as_sir_method <- function(method_short, index = rows, ab_given = vectorise_log_entry(ab.bak[match(ab_current, df$ab)][1], length(rows)), mo_given = vectorise_log_entry(mo.bak[match(mo_current, df$mo)][1], length(rows)), - host_given = vectorise_log_entry(host_current, length(rows)), + host_given = vectorise_log_entry(host.bak[match(host_current, df$host)][1], length(rows)), ab = vectorise_log_entry(ab_current, length(rows)), mo = vectorise_log_entry(mo_current, length(rows)), host = vectorise_log_entry(host_current, length(rows)), @@ -1353,7 +1379,7 @@ as_sir_method <- function(method_short, index = rows, ab_given = vectorise_log_entry(ab.bak[match(ab_current, df$ab)][1], length(rows)), mo_given = vectorise_log_entry(mo.bak[match(mo_current, df$mo)][1], length(rows)), - host_given = vectorise_log_entry(host_current, length(rows)), + host_given = vectorise_log_entry(host.bak[match(host_current, df$host)][1], length(rows)), ab = vectorise_log_entry(breakpoints_current[, "ab", drop = TRUE], length(rows)), mo = vectorise_log_entry(breakpoints_current[, "mo", drop = TRUE], length(rows)), host = vectorise_log_entry(breakpoints_current[, 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