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(v1.1.0.9010) lose dependencies
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@ -520,7 +520,7 @@ eucast_rules <- function(x,
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x[, col_mo] <- as.mo(x[, col_mo, drop = TRUE])
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x <- x %>%
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left_join_microorganisms(by = col_mo, suffix = c("_oldcols", ""))
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x$gramstain <- mo_gramstain(x[, col_mo, drop = TRUE])
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x$gramstain <- mo_gramstain(x[, col_mo, drop = TRUE], language = NULL)
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x$genus_species <- paste(x$genus, x$species)
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if (ab_missing(AMP) & !ab_missing(AMX)) {
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@ -658,7 +658,7 @@ eucast_rules <- function(x,
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rule_group_current %like% "expert",
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paste0("\nEUCAST Expert Rules, Intrinsic Resistance and Exceptional Phenotypes (",
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font_red(paste0("v", EUCAST_VERSION_EXPERT_RULES)), ")\n"),
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"\nOther rules by this AMR package\n"))))
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"\nOther rules by this AMR package (turn on/off with 'rules' parameter)\n"))))
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}
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# Print rule -------------------------------------------------------------
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if (rule_current != rule_previous) {
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@ -678,32 +678,27 @@ eucast_rules <- function(x,
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like_is_one_of <- eucast_rules_df[i, 2]
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# be sure to comprise all coagulase-negative/-positive Staphylococci when they are mentioned
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if (eucast_rules_df[i, 3] %like% "coagulase-") {
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suppressWarnings(
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all_staph <- microorganisms %>%
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filter(genus == "Staphylococcus") %>%
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mutate(CNS_CPS = mo_name(mo, Becker = "all"))
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)
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if (eucast_rules_df[i, 3] %like% "coagulase-") {
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eucast_rules_df[i, 3] <- paste0("^(",
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paste0(all_staph %>%
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filter(CNS_CPS %like% "coagulase-negative") %>%
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pull(fullname),
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collapse = "|"),
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if (eucast_rules_df[i, 3] %like% "coagulase") {
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all_staph <- microorganisms[which(microorganisms$genus == "Staphylococcus"), ]
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all_staph$CNS_CPS <- suppressWarnings(mo_name(all_staph$mo, Becker = "all", language = NULL))
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if (eucast_rules_df[i, 3] %like% "coagulase") {
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eucast_rules_df[i, 3] <- paste0("^(", paste0(all_staph[which(all_staph$CNS_CPS %like% "negative"),
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"fullname",
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drop = TRUE],
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collapse = "|"),
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")$")
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} else {
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eucast_rules_df[i, 3] <- paste0("^(",
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paste0(all_staph %>%
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filter(CNS_CPS %like% "coagulase-positive") %>%
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pull(fullname),
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collapse = "|"),
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eucast_rules_df[i, 3] <- paste0("^(", paste0(all_staph[which(all_staph$CNS_CPS %like% "positive"),
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"fullname",
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drop = TRUE],
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collapse = "|"),
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")$")
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}
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like_is_one_of <- "like"
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}
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if (like_is_one_of == "is") {
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# so 'Enterococcus' will turn into '^Enterococcus$'
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# so e.g. 'Enterococcus' will turn into '^Enterococcus$'
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mo_value <- paste0("^", eucast_rules_df[i, 3], "$")
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} else if (like_is_one_of == "one_of") {
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# so 'Clostridium, Actinomyces, ...' will turn into '^(Clostridium|Actinomyces|...)$'
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