From bd252a29847b75fe03b2b2131bb413201042e304 Mon Sep 17 00:00:00 2001
From: "Matthijs S. Berends" <berendsms@gmail.com>
Date: Mon, 12 Aug 2019 14:48:09 +0200
Subject: [PATCH] (v0.7.1.9036) preserve ab/mo classes in subsetting

---
 DESCRIPTION                                   |   4 +-
 NAMESPACE                                     |  11 +-
 NEWS.md                                       |  19 ++-
 R/ab.R                                        |   9 +-
 R/disk.R                                      |  14 +++
 R/filter_ab_class.R                           | 119 +++++++++++-------
 R/mic.R                                       |   2 +-
 R/mo.R                                        |  23 +++-
 R/rsi.R                                       |   4 +-
 docs/LICENSE-text.html                        |   2 +-
 docs/articles/benchmarks.html                 |  74 +++++------
 .../figure-html/unnamed-chunk-5-1.png         | Bin 84171 -> 85974 bytes
 docs/articles/index.html                      |   2 +-
 docs/authors.html                             |   2 +-
 docs/index.html                               |   2 +-
 docs/news/index.html                          |  49 ++++----
 docs/reference/as.rsi.html                    |   2 +-
 docs/reference/filter_ab_class.html           |  34 ++---
 docs/reference/index.html                     |   4 +-
 docs/reference/like.html                      |   2 +-
 docs/reference/translate.html                 |   2 +-
 man/filter_ab_class.Rd                        |  33 ++---
 tests/testthat/test-mo.R                      |   5 +-
 23 files changed, 237 insertions(+), 181 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 5cf924b4..72421288 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: AMR
-Version: 0.7.1.9035
-Date: 2019-08-11
+Version: 0.7.1.9036
+Date: 2019-08-12
 Title: Antimicrobial Resistance Analysis
 Authors@R: c(
     person(role = c("aut", "cre"), 
diff --git a/NAMESPACE b/NAMESPACE
index 98bd9feb..7cafc1af 100755
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -1,5 +1,7 @@
 # Generated by roxygen2: do not edit by hand
 
+S3method("[",ab)
+S3method("[",mo)
 S3method(as.data.frame,ab)
 S3method(as.data.frame,mo)
 S3method(as.double,mic)
@@ -19,6 +21,7 @@ S3method(kurtosis,data.frame)
 S3method(kurtosis,default)
 S3method(kurtosis,matrix)
 S3method(pillar_shaft,ab)
+S3method(pillar_shaft,disk)
 S3method(pillar_shaft,mic)
 S3method(pillar_shaft,mo)
 S3method(pillar_shaft,rsi)
@@ -33,8 +36,6 @@ S3method(print,mo)
 S3method(print,mo_renamed)
 S3method(print,mo_uncertainties)
 S3method(print,rsi)
-S3method(pull,ab)
-S3method(pull,mo)
 S3method(skewness,data.frame)
 S3method(skewness,default)
 S3method(skewness,matrix)
@@ -42,6 +43,7 @@ S3method(summary,mic)
 S3method(summary,mo)
 S3method(summary,rsi)
 S3method(type_sum,ab)
+S3method(type_sum,disk)
 S3method(type_sum,mic)
 S3method(type_sum,mo)
 S3method(type_sum,rsi)
@@ -86,6 +88,7 @@ export(filter_1st_cephalosporins)
 export(filter_2nd_cephalosporins)
 export(filter_3rd_cephalosporins)
 export(filter_4th_cephalosporins)
+export(filter_5th_cephalosporins)
 export(filter_ab_class)
 export(filter_aminoglycosides)
 export(filter_carbapenems)
@@ -167,6 +170,8 @@ export(semi_join_microorganisms)
 export(set_mo_source)
 export(skewness)
 export(theme_rsi)
+exportMethods("[.ab")
+exportMethods("[.mo")
 exportMethods(as.data.frame.ab)
 exportMethods(as.data.frame.mo)
 exportMethods(as.double.mic)
@@ -192,8 +197,6 @@ exportMethods(print.mo)
 exportMethods(print.mo_renamed)
 exportMethods(print.mo_uncertainties)
 exportMethods(print.rsi)
-exportMethods(pull.ab)
-exportMethods(pull.mo)
 exportMethods(scale_type.ab)
 exportMethods(scale_type.mo)
 exportMethods(skewness)
diff --git a/NEWS.md b/NEWS.md
index 59a8373a..e73741c2 100755
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,4 @@
-# AMR 0.7.1.9035
+# AMR 0.7.1.9036
 
 ### Breaking
 * Function `freq()` has moved to a new package, [`clean`](https://github.com/msberends/clean) ([CRAN link](https://cran.r-project.org/package=clean)). Creating frequency tables is actually not the scope of this package (never was) and this function has matured  a lot over the last two years. Therefore, a new package was created for data cleaning and checking and it perfectly fits the `freq()` function. The [`clean`](https://github.com/msberends/clean) package is available on CRAN and will be installed automatically when updating the `AMR` package, that now imports it. In a later stage, the `skewness()` and `kurtosis()` functions will be moved to the `clean` package too.
@@ -46,16 +46,13 @@
   * Printed info now distinguishes between added and changes values
   * Using Verbose mode (i.e. `eucast_rules(..., verbose = TRUE)`) returns more informative and readable output
   * Using factors as input now adds missing factors levels when the function changes antibiotic results
-* Added tibble printing support for classes `rsi`, `mic`, `ab` and `mo`. When using tibbles containing antibiotic columns, values `S` will print in green, values `I` will print in yellow and values `R` will print in red:
+* Added tibble printing support for classes `rsi`, `mic`, `disk`, `ab` `mo`. When using tibbles containing antibiotic columns, values `S` will print in green, values `I` will print in yellow and values `R` will print in red. Microbial IDs (class `mo`) will emphasise on the genus and species, not on the kingdom.
   ```r
   # (run this on your own console, as this page does not support colour printing)
-  tibble(mo = sample(AMR::microorganisms$fullname, 10),
-         drug1 = as.rsi(sample(c("S", "I", "R"), 10, replace = TRUE, 
-                               prob = c(0.6, 0.1, 0.3))),
-         drug2 = as.rsi(sample(c("S", "I", "R"), 10, replace = TRUE,
-                               prob = c(0.6, 0.1, 0.3))),
-         drug3 = as.rsi(sample(c("S", "I", "R"), 10, replace = TRUE,
-                               prob = c(0.6, 0.1, 0.3))))
+  library(dplyr)
+  septic_patients %>%
+    select(mo:AMC) %>% 
+    as_tibble()
   ```
 * Removed class `atc` - using `as.atc()` is now deprecated in favour of `ab_atc()` and this will return a character, not the `atc` class anymore
 * Removed deprecated functions `abname()`, `ab_official()`, `atc_name()`, `atc_official()`, `atc_property()`, `atc_tradenames()`, `atc_trivial_nl()`
@@ -69,8 +66,10 @@
 * Fix for using `mo_*` functions where the coercion uncertainties and failures would not be available through `mo_uncertainties()` and `mo_failures()` anymore
 * Deprecated the `country` parameter of `mdro()` in favour of the already existing `guideline` parameter to support multiple guidelines within one country
 * The `name` of `RIF` is now Rifampicin instead of Rifampin
-* The `antibiotics` data set is now sorted by name and all cephalosporines now have their generation between brackets
+* The `antibiotics` data set is now sorted by name and all cephalosporins now have their generation between brackets
 * Speed improvement for `guess_ab_col()` which is now 30 times faster for antibiotic abbreviations
+* Improved `filter_ab_class()` to be more reliable and to support 5th generation cephalosporins
+* Classes `ab` and `mo` will now be preserved in any subsetting
 
 #### Other
 * Added Dr Bart Meijer, Dr Dennis Souverein and Annick Lenglet as contributors
diff --git a/R/ab.R b/R/ab.R
index 3fbc5929..19864eb3 100755
--- a/R/ab.R
+++ b/R/ab.R
@@ -279,12 +279,13 @@ as.data.frame.ab <- function (x, ...) {
   }
 }
 
-#' @exportMethod pull.ab
+#' @exportMethod [.ab
 #' @export
-#' @importFrom dplyr pull
 #' @noRd
-pull.ab <- function(.data, ...) {
-  pull(as.data.frame(.data), ...)
+"[.ab" <- function (x, ...) {
+  # this function is needed to preserve the "ab" class for any subsetting, like df %>% filter(...)
+  y <- NextMethod()
+  structure(y, class = "ab")
 }
 
 #' @importFrom pillar type_sum
diff --git a/R/disk.R b/R/disk.R
index efe84d8a..7effc3a6 100644
--- a/R/disk.R
+++ b/R/disk.R
@@ -90,3 +90,17 @@ print.disk <- function(x, ...) {
   cat("Class 'disk'\n")
   print(as.integer(x), quote = FALSE)
 }
+
+#' @importFrom pillar type_sum
+#' @export
+type_sum.disk <- function(x) {
+  "disk"
+}
+
+#' @importFrom pillar pillar_shaft
+#' @export
+pillar_shaft.disk <- function(x, ...) {
+  out <- trimws(format(x))
+  out[is.na(x)] <- pillar::style_na(NA)
+  pillar::new_pillar_shaft_simple(out, align = "right", min_width = 3)
+}
diff --git a/R/filter_ab_class.R b/R/filter_ab_class.R
index 50dc4438..1f5ea37d 100644
--- a/R/filter_ab_class.R
+++ b/R/filter_ab_class.R
@@ -22,12 +22,12 @@
 #' Filter isolates on result in antibiotic class
 #'
 #' Filter isolates on results in specific antibiotic variables based on their class (ATC groups). This makes it easy to get a list of isolates that were tested for e.g. any aminoglycoside.
-#' @param tbl a data set
-#' @param ab_class an antimicrobial class, like \code{"carbapenems"}. More specifically, this should be a text that can be found in a 4th level ATC group (chemical subgroup) or a 5th level ATC group (chemical substance), please see \href{https://www.whocc.no/atc/structure_and_principles/}{this explanation on the WHOCC website}.
+#' @param x a data set
+#' @param ab_class an antimicrobial class, like \code{"carbapenems"}, as can be found in \code{AMR::antibiotics$group}
 #' @param result an antibiotic result: S, I or R (or a combination of more of them)
 #' @param scope the scope to check which variables to check, can be \code{"any"} (default) or \code{"all"}
 #' @param ... parameters passed on to \code{\link[dplyr]{filter_at}}
-#' @details The \code{\link{antibiotics}} data set will be searched for \code{ab_class} in the columns \code{atc_group1} and \code{atc_group2} (case-insensitive). Next, \code{tbl} will be checked for column names with a value in any abbreviations, codes or official names found in the \code{antibiotics} data set.
+#' @details The \code{group} column in \code{\link{antibiotics}} data set will be searched for \code{ab_class} (case-insensitive). If no results are found, the \code{atc_group1} and \code{atc_group2} columns will be searched. Next, \code{x} will be checked for column names with a value in any abbreviations, codes or official names found in the \code{antibiotics} data set.
 #' @rdname filter_ab_class
 #' @keywords filter fillter_class
 #' @importFrom dplyr filter_at %>% select vars any_vars all_vars
@@ -62,7 +62,7 @@
 #' septic_patients %>%
 #'   filter_aminoglycosides("R", "all") %>%
 #'   filter_fluoroquinolones("R", "all")
-filter_ab_class <- function(tbl,
+filter_ab_class <- function(x,
                             ab_class,
                             result = NULL,
                             scope = "any",
@@ -71,7 +71,7 @@ filter_ab_class <- function(tbl,
   if (is.null(result)) {
     result <- c("S", "I", "R")
   }
-  # make result = "IR" work too:
+  # make result = "SI" work too:
   result <- unlist(strsplit(result, ""))
 
   if (!all(result %in% c("S", "I", "R"))) {
@@ -81,8 +81,8 @@ filter_ab_class <- function(tbl,
     stop("`scope` must be one of: any, all", call. = FALSE)
   }
 
-  vars_df <- colnames(tbl)[tolower(colnames(tbl)) %in% tolower(ab_class_vars(ab_class))]
-  atc_groups <- ab_class_atcgroups(ab_class)
+  vars_df <- colnames(x)[tolower(colnames(x)) %in% tolower(ab_class_vars(ab_class))]
+  ab_group <- find_ab_group(ab_class)
 
   if (length(vars_df) > 0) {
     if (length(result) == 1) {
@@ -101,29 +101,29 @@ filter_ab_class <- function(tbl,
       }
     }
     if (length(vars_df) > 1) {
-      scope <- paste(scope, "of ")
+      scope <- paste(scope, "of columns ")
     } else {
-      scope <- ""
+      scope <- "column "
     }
-    message(blue(paste0("Filtering on ", atc_groups, ": ", scope,
+    message(blue(paste0("Filtering on ", ab_group, ": ", scope,
                         paste(bold(paste0("`", vars_df, "`")), collapse = scope_txt), operator, toString(result))))
-    tbl %>%
+    x %>%
       filter_at(vars(vars_df),
                 scope_fn(. %in% result),
                 ...)
   } else {
-    warning(paste0("no antibiotics of class ", atc_groups, " found, leaving data unchanged"), call. = FALSE)
-    tbl
+    warning(paste0("no antibiotics of class ", ab_group, " found, leaving data unchanged"), call. = FALSE)
+    x
   }
 }
 
 #' @rdname filter_ab_class
 #' @export
-filter_aminoglycosides <- function(tbl,
+filter_aminoglycosides <- function(x,
                                    result = NULL,
                                    scope = "any",
                                    ...) {
-  filter_ab_class(tbl = tbl,
+  filter_ab_class(x = x,
                   ab_class = "aminoglycoside",
                   result = result,
                   scope = scope,
@@ -132,11 +132,11 @@ filter_aminoglycosides <- function(tbl,
 
 #' @rdname filter_ab_class
 #' @export
-filter_carbapenems <- function(tbl,
+filter_carbapenems <- function(x,
                                result = NULL,
                                scope = "any",
                                ...) {
-  filter_ab_class(tbl = tbl,
+  filter_ab_class(x = x,
                   ab_class = "carbapenem",
                   result = result,
                   scope = scope,
@@ -145,11 +145,11 @@ filter_carbapenems <- function(tbl,
 
 #' @rdname filter_ab_class
 #' @export
-filter_cephalosporins <- function(tbl,
+filter_cephalosporins <- function(x,
                                   result = NULL,
                                   scope = "any",
                                   ...) {
-  filter_ab_class(tbl = tbl,
+  filter_ab_class(x = x,
                   ab_class = "cephalosporin",
                   result = result,
                   scope = scope,
@@ -158,12 +158,12 @@ filter_cephalosporins <- function(tbl,
 
 #' @rdname filter_ab_class
 #' @export
-filter_1st_cephalosporins <- function(tbl,
+filter_1st_cephalosporins <- function(x,
                                       result = NULL,
                                       scope = "any",
                                       ...) {
-  filter_ab_class(tbl = tbl,
-                  ab_class = "first-generation cephalosporin",
+  filter_ab_class(x = x,
+                  ab_class = "cephalosporins (1st gen.)",
                   result = result,
                   scope = scope,
                   ...)
@@ -171,12 +171,12 @@ filter_1st_cephalosporins <- function(tbl,
 
 #' @rdname filter_ab_class
 #' @export
-filter_2nd_cephalosporins <- function(tbl,
+filter_2nd_cephalosporins <- function(x,
                                       result = NULL,
                                       scope = "any",
                                       ...) {
-  filter_ab_class(tbl = tbl,
-                  ab_class = "second-generation cephalosporin",
+  filter_ab_class(x = x,
+                  ab_class = "cephalosporins (2nd gen.)",
                   result = result,
                   scope = scope,
                   ...)
@@ -184,12 +184,12 @@ filter_2nd_cephalosporins <- function(tbl,
 
 #' @rdname filter_ab_class
 #' @export
-filter_3rd_cephalosporins <- function(tbl,
+filter_3rd_cephalosporins <- function(x,
                                       result = NULL,
                                       scope = "any",
                                       ...) {
-  filter_ab_class(tbl = tbl,
-                  ab_class = "third-generation cephalosporin",
+  filter_ab_class(x = x,
+                  ab_class = "cephalosporins (3rd gen.)",
                   result = result,
                   scope = scope,
                   ...)
@@ -197,12 +197,12 @@ filter_3rd_cephalosporins <- function(tbl,
 
 #' @rdname filter_ab_class
 #' @export
-filter_4th_cephalosporins <- function(tbl,
+filter_4th_cephalosporins <- function(x,
                                       result = NULL,
                                       scope = "any",
                                       ...) {
-  filter_ab_class(tbl = tbl,
-                  ab_class = "fourth-generation cephalosporin",
+  filter_ab_class(x = x,
+                  ab_class = "cephalosporins (4th gen.)",
                   result = result,
                   scope = scope,
                   ...)
@@ -210,11 +210,24 @@ filter_4th_cephalosporins <- function(tbl,
 
 #' @rdname filter_ab_class
 #' @export
-filter_fluoroquinolones <- function(tbl,
+filter_5th_cephalosporins <- function(x,
+                                      result = NULL,
+                                      scope = "any",
+                                      ...) {
+  filter_ab_class(x = x,
+                  ab_class = "cephalosporins (5th gen.)",
+                  result = result,
+                  scope = scope,
+                  ...)
+}
+
+#' @rdname filter_ab_class
+#' @export
+filter_fluoroquinolones <- function(x,
                                     result = NULL,
                                     scope = "any",
                                     ...) {
-  filter_ab_class(tbl = tbl,
+  filter_ab_class(x = x,
                   ab_class = "fluoroquinolone",
                   result = result,
                   scope = scope,
@@ -223,11 +236,11 @@ filter_fluoroquinolones <- function(tbl,
 
 #' @rdname filter_ab_class
 #' @export
-filter_glycopeptides <- function(tbl,
+filter_glycopeptides <- function(x,
                                  result = NULL,
                                  scope = "any",
                                  ...) {
-  filter_ab_class(tbl = tbl,
+  filter_ab_class(x = x,
                   ab_class = "glycopeptide",
                   result = result,
                   scope = scope,
@@ -236,11 +249,11 @@ filter_glycopeptides <- function(tbl,
 
 #' @rdname filter_ab_class
 #' @export
-filter_macrolides <- function(tbl,
+filter_macrolides <- function(x,
                               result = NULL,
                               scope = "any",
                               ...) {
-  filter_ab_class(tbl = tbl,
+  filter_ab_class(x = x,
                   ab_class = "macrolide",
                   result = result,
                   scope = scope,
@@ -249,11 +262,11 @@ filter_macrolides <- function(tbl,
 
 #' @rdname filter_ab_class
 #' @export
-filter_tetracyclines <- function(tbl,
+filter_tetracyclines <- function(x,
                                  result = NULL,
                                  scope = "any",
                                  ...) {
-  filter_ab_class(tbl = tbl,
+  filter_ab_class(x = x,
                   ab_class = "tetracycline",
                   result = result,
                   scope = scope,
@@ -262,8 +275,9 @@ filter_tetracyclines <- function(tbl,
 
 #' @importFrom dplyr %>% filter_at vars any_vars select
 ab_class_vars <- function(ab_class) {
+  ab_class <- gsub("[^a-z0-9]+", ".*", ab_class)
   ab_vars <- AMR::antibiotics %>%
-    filter_at(vars(c("atc_group1", "atc_group2")), any_vars(. %like% ab_class)) %>%
+    filter(group %like% ab_class) %>% 
     select(ab:name, abbreviations, synonyms) %>%
     unlist() %>%
     as.matrix() %>%
@@ -272,18 +286,29 @@ ab_class_vars <- function(ab_class) {
     strsplit("|", fixed = TRUE) %>%
     unlist() %>%
     unique()
-  ab_vars[!is.na(ab_vars)]
+  ab_vars <- ab_vars[!ab_vars %in% c(NA, "", "NA") & nchar(ab_vars) > 2]
+  if (length(ab_vars) == 0) {
+    # try again, searching atc_group1 and atc_group2 columns
+    ab_vars <- AMR::antibiotics %>%
+      filter_at(vars(c("atc_group1", "atc_group2")), any_vars(. %like% ab_class)) %>% 
+      select(ab:name, abbreviations, synonyms) %>%
+      unlist() %>%
+      as.matrix() %>%
+      as.character() %>%
+      paste(collapse = "|") %>%
+      strsplit("|", fixed = TRUE) %>%
+      unlist() %>%
+      unique()
+    ab_vars <- ab_vars[!ab_vars %in% c(NA, "", "NA") & nchar(ab_vars) > 2]
+  }
+  ab_vars
 }
 
 #' @importFrom dplyr %>% filter pull
-ab_class_atcgroups <- function(ab_class) {
+find_ab_group <- function(ab_class) {
   ifelse(ab_class %in% c("aminoglycoside",
                          "carbapenem",
                          "cephalosporin",
-                         "first-generation cephalosporin",
-                         "second-generation cephalosporin",
-                         "third-generation cephalosporin",
-                         "fourth-generation cephalosporin",
                          "fluoroquinolone",
                          "glycopeptide",
                          "macrolide",
@@ -291,7 +316,7 @@ ab_class_atcgroups <- function(ab_class) {
          paste0(ab_class, "s"),
          AMR::antibiotics %>%
            filter(ab %in% ab_class_vars(ab_class)) %>%
-           pull("atc_group2") %>%
+           pull(group) %>%
            unique() %>%
            tolower() %>%
            paste(collapse = "/")
diff --git a/R/mic.R b/R/mic.R
index 291f7224..2b0d36d2 100755
--- a/R/mic.R
+++ b/R/mic.R
@@ -289,6 +289,6 @@ type_sum.mic <- function(x) {
 #' @export
 pillar_shaft.mic <- function(x, ...) {
   out <- trimws(format(x))
-  out[is.na(x)] <- NA
+  out[is.na(x)] <- pillar::style_na(NA)
   pillar::new_pillar_shaft_simple(out, align = "right", min_width = 4)
 }
diff --git a/R/mo.R b/R/mo.R
index ed3307f0..657de9cc 100755
--- a/R/mo.R
+++ b/R/mo.R
@@ -1521,8 +1521,18 @@ type_sum.mo <- function(x) {
 #' @export
 pillar_shaft.mo <- function(x, ...) {
   out <- format(x)
-  out[is.na(x)] <- pillar::style_na("NA")
-  pillar::new_pillar_shaft_simple(out, align = "left", min_width = 11)
+  # grey out the kingdom (part before first "_")
+  first_parts <- unlist(lapply(gregexpr(pattern = '_', x[!is.na(x)], fixed = TRUE), min))
+  first_parts[first_parts < 0] <- 0
+  out[!is.na(x)] <- paste0(pillar::style_subtle(substr(x[!is.na(x)], 0, first_parts)), 
+                           substr(x[!is.na(x)], first_parts + 1, nchar(x)))
+  
+  out[is.na(x)] <- pillar::style_na("  NA")
+  out[x == "UNKNOWN"] <- pillar::style_na("  UNKNOWN")
+  
+  out <- gsub("_", pillar::style_subtle("_"), out)
+  
+  pillar::new_pillar_shaft_simple(out, align = "left", min_width = 12)
 }
 
 #' @exportMethod summary.mo
@@ -1556,12 +1566,13 @@ as.data.frame.mo <- function(x, ...) {
   }
 }
 
-#' @exportMethod pull.mo
+#' @exportMethod [.mo
 #' @export
-#' @importFrom dplyr pull
 #' @noRd
-pull.mo <- function(.data, ...) {
-  pull(as.data.frame(.data), ...)
+"[.mo" <- function (x, ...) {
+  # this function is needed to preserve the "mo" class for any subsetting, like df %>% filter(...)
+  y <- NextMethod()
+  to_class_mo(y)
 }
 
 #' @rdname as.mo
diff --git a/R/rsi.R b/R/rsi.R
index 0274ee29..d8938c45 100755
--- a/R/rsi.R
+++ b/R/rsi.R
@@ -486,9 +486,9 @@ type_sum.rsi <- function(x) {
 #' @export 
 pillar_shaft.rsi <- function(x, ...) {
   out <- trimws(format(x))
-  out[is.na(x)] <- pillar::style_subtle("NA")
+  out[is.na(x)] <- pillar::style_subtle(" NA")
   out[x == "S"] <- bgGreen(white(" S "))
   out[x == "I"] <- bgYellow(black(" I "))
   out[x == "R"] <- bgRed(white(" R "))
-  pillar::new_pillar_shaft_simple(out, align = "left", min_width = 4)
+  pillar::new_pillar_shaft_simple(out, align = "left", min_width = 3)
 }
diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html
index 80b7586d..37a2ca89 100644
--- a/docs/LICENSE-text.html
+++ b/docs/LICENSE-text.html
@@ -78,7 +78,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="index.html">AMR (for R)</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9035</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9036</span>
       </span>
     </div>
 
diff --git a/docs/articles/benchmarks.html b/docs/articles/benchmarks.html
index 7214e2c2..b1d4470e 100644
--- a/docs/articles/benchmarks.html
+++ b/docs/articles/benchmarks.html
@@ -40,7 +40,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">AMR (for R)</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9035</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9036</span>
       </span>
     </div>
 
@@ -185,7 +185,7 @@
       <h1>Benchmarks</h1>
                         <h4 class="author">Matthijs S. Berends</h4>
             
-            <h4 class="date">11 August 2019</h4>
+            <h4 class="date">12 August 2019</h4>
       
       
       <div class="hidden name"><code>benchmarks.Rmd</code></div>
@@ -210,14 +210,14 @@
 <a class="sourceLine" id="cb2-8" data-line-number="8">                           <span class="dt">times =</span> <span class="dv">10</span>)</a>
 <a class="sourceLine" id="cb2-9" data-line-number="9"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(S.aureus, <span class="dt">unit =</span> <span class="st">"ms"</span>, <span class="dt">signif =</span> <span class="dv">2</span>)</a>
 <a class="sourceLine" id="cb2-10" data-line-number="10"><span class="co"># Unit: milliseconds</span></a>
-<a class="sourceLine" id="cb2-11" data-line-number="11"><span class="co">#                            expr  min   lq mean median   uq  max neval</span></a>
-<a class="sourceLine" id="cb2-12" data-line-number="12"><span class="co">#                    as.mo("sau")  8.3  8.5 14.0    9.1  9.2 39.0    10</span></a>
-<a class="sourceLine" id="cb2-13" data-line-number="13"><span class="co">#                   as.mo("stau") 31.0 32.0 38.0   32.0 47.0 53.0    10</span></a>
-<a class="sourceLine" id="cb2-14" data-line-number="14"><span class="co">#                 as.mo("staaur")  8.2  8.4 20.0    8.7 40.0 55.0    10</span></a>
-<a class="sourceLine" id="cb2-15" data-line-number="15"><span class="co">#                 as.mo("STAAUR")  8.2  8.4 10.0    8.9  9.4 24.0    10</span></a>
-<a class="sourceLine" id="cb2-16" data-line-number="16"><span class="co">#              as.mo("S. aureus") 23.0 24.0 33.0   24.0 24.0 99.0    10</span></a>
-<a class="sourceLine" id="cb2-17" data-line-number="17"><span class="co">#             as.mo("S.  aureus") 23.0 23.0 29.0   24.0 40.0 42.0    10</span></a>
-<a class="sourceLine" id="cb2-18" data-line-number="18"><span class="co">#  as.mo("Staphylococcus aureus")  3.7  3.9  4.1    4.1  4.2  4.6    10</span></a></code></pre></div>
+<a class="sourceLine" id="cb2-11" data-line-number="11"><span class="co">#                            expr  min   lq mean median   uq max neval</span></a>
+<a class="sourceLine" id="cb2-12" data-line-number="12"><span class="co">#                    as.mo("sau")  8.6  9.2  9.9    9.7 11.0  12    10</span></a>
+<a class="sourceLine" id="cb2-13" data-line-number="13"><span class="co">#                   as.mo("stau") 32.0 33.0 33.0   33.0 34.0  35    10</span></a>
+<a class="sourceLine" id="cb2-14" data-line-number="14"><span class="co">#                 as.mo("staaur")  8.7  9.0 13.0    9.6 11.0  26    10</span></a>
+<a class="sourceLine" id="cb2-15" data-line-number="15"><span class="co">#                 as.mo("STAAUR")  8.6  9.1 13.0    9.5  9.7  28    10</span></a>
+<a class="sourceLine" id="cb2-16" data-line-number="16"><span class="co">#              as.mo("S. aureus") 24.0 24.0 28.0   25.0 26.0  41    10</span></a>
+<a class="sourceLine" id="cb2-17" data-line-number="17"><span class="co">#             as.mo("S.  aureus") 24.0 24.0 37.0   24.0 39.0 120    10</span></a>
+<a class="sourceLine" id="cb2-18" data-line-number="18"><span class="co">#  as.mo("Staphylococcus aureus")  4.0  4.2  6.0    4.3  4.6  21    10</span></a></code></pre></div>
 <p>In the table above, all measurements are shown in milliseconds (thousands of seconds). A value of 5 milliseconds means it can determine 200 input values per second. It case of 100 milliseconds, this is only 10 input values per second. The second input is the only one that has to be looked up thoroughly. All the others are known codes (the first one is a WHONET code) or common laboratory codes, or common full organism names like the last one. Full organism names are always preferred.</p>
 <p>To achieve this speed, the <code>as.mo</code> function also takes into account the prevalence of human pathogenic microorganisms. The downside is of course that less prevalent microorganisms will be determined less fast. See this example for the ID of <em>Thermus islandicus</em> (<code>B_THERMS_ISL</code>), a bug probably never found before in humans:</p>
 <div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" data-line-number="1">T.islandicus &lt;-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/microbenchmark/topics/microbenchmark">microbenchmark</a></span>(<span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(<span class="st">"theisl"</span>),</a>
@@ -229,12 +229,12 @@
 <a class="sourceLine" id="cb3-7" data-line-number="7"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(T.islandicus, <span class="dt">unit =</span> <span class="st">"ms"</span>, <span class="dt">signif =</span> <span class="dv">2</span>)</a>
 <a class="sourceLine" id="cb3-8" data-line-number="8"><span class="co"># Unit: milliseconds</span></a>
 <a class="sourceLine" id="cb3-9" data-line-number="9"><span class="co">#                         expr min  lq mean median  uq max neval</span></a>
-<a class="sourceLine" id="cb3-10" data-line-number="10"><span class="co">#              as.mo("theisl") 270 270  280    290 290 300    10</span></a>
-<a class="sourceLine" id="cb3-11" data-line-number="11"><span class="co">#              as.mo("THEISL") 280 290  290    290 300 300    10</span></a>
-<a class="sourceLine" id="cb3-12" data-line-number="12"><span class="co">#       as.mo("T. islandicus") 130 130  150    150 160 160    10</span></a>
-<a class="sourceLine" id="cb3-13" data-line-number="13"><span class="co">#      as.mo("T.  islandicus") 130 130  150    150 150 160    10</span></a>
-<a class="sourceLine" id="cb3-14" data-line-number="14"><span class="co">#  as.mo("Thermus islandicus")  46  48   54     50  63  71    10</span></a></code></pre></div>
-<p>That takes 8.8 times as much time on average. A value of 100 milliseconds means it can only determine ~10 different input values per second. We can conclude that looking up arbitrary codes of less prevalent microorganisms is the worst way to go, in terms of calculation performance. Full names (like <em>Thermus islandicus</em>) are almost fast - these are the most probable input from most data sets.</p>
+<a class="sourceLine" id="cb3-10" data-line-number="10"><span class="co">#              as.mo("theisl") 270 280  290    290 310 320    10</span></a>
+<a class="sourceLine" id="cb3-11" data-line-number="11"><span class="co">#              as.mo("THEISL") 280 290  300    290 300 310    10</span></a>
+<a class="sourceLine" id="cb3-12" data-line-number="12"><span class="co">#       as.mo("T. islandicus") 140 140  150    140 160 170    10</span></a>
+<a class="sourceLine" id="cb3-13" data-line-number="13"><span class="co">#      as.mo("T.  islandicus") 140 150  160    160 160 170    10</span></a>
+<a class="sourceLine" id="cb3-14" data-line-number="14"><span class="co">#  as.mo("Thermus islandicus")  48  49   60     60  68  77    10</span></a></code></pre></div>
+<p>That takes 9.5 times as much time on average. A value of 100 milliseconds means it can only determine ~10 different input values per second. We can conclude that looking up arbitrary codes of less prevalent microorganisms is the worst way to go, in terms of calculation performance. Full names (like <em>Thermus islandicus</em>) are almost fast - these are the most probable input from most data sets.</p>
 <p>In the figure below, we compare <em>Escherichia coli</em> (which is very common) with <em>Prevotella brevis</em> (which is moderately common) and with <em>Thermus islandicus</em> (which is very uncommon):</p>
 <div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" data-line-number="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/par">par</a></span>(<span class="dt">mar =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="dv">5</span>, <span class="dv">16</span>, <span class="dv">4</span>, <span class="dv">2</span>)) <span class="co"># set more space for left margin text (16)</span></a>
 <a class="sourceLine" id="cb4-2" data-line-number="2"></a>
@@ -280,8 +280,8 @@
 <a class="sourceLine" id="cb5-24" data-line-number="24"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(run_it, <span class="dt">unit =</span> <span class="st">"ms"</span>, <span class="dt">signif =</span> <span class="dv">3</span>)</a>
 <a class="sourceLine" id="cb5-25" data-line-number="25"><span class="co"># Unit: milliseconds</span></a>
 <a class="sourceLine" id="cb5-26" data-line-number="26"><span class="co">#        expr min  lq mean median  uq max neval</span></a>
-<a class="sourceLine" id="cb5-27" data-line-number="27"><span class="co">#  mo_name(x) 623 631  659    637 697 729    10</span></a></code></pre></div>
-<p>So transforming 500,000 values (!!) of 50 unique values only takes 0.64 seconds (637 ms). You only lose time on your unique input values.</p>
+<a class="sourceLine" id="cb5-27" data-line-number="27"><span class="co">#  mo_name(x) 596 622  635    626 635 704    10</span></a></code></pre></div>
+<p>So transforming 500,000 values (!!) of 50 unique values only takes 0.63 seconds (626 ms). You only lose time on your unique input values.</p>
 </div>
 <div id="precalculated-results" class="section level3">
 <h3 class="hasAnchor">
@@ -294,10 +294,10 @@
 <a class="sourceLine" id="cb6-5" data-line-number="5"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(run_it, <span class="dt">unit =</span> <span class="st">"ms"</span>, <span class="dt">signif =</span> <span class="dv">3</span>)</a>
 <a class="sourceLine" id="cb6-6" data-line-number="6"><span class="co"># Unit: milliseconds</span></a>
 <a class="sourceLine" id="cb6-7" data-line-number="7"><span class="co">#  expr    min     lq   mean median     uq   max neval</span></a>
-<a class="sourceLine" id="cb6-8" data-line-number="8"><span class="co">#     A  6.290  6.730  7.170  7.010  7.760  8.09    10</span></a>
-<a class="sourceLine" id="cb6-9" data-line-number="9"><span class="co">#     B 22.600 22.700 26.200 23.000 25.400 44.30    10</span></a>
-<a class="sourceLine" id="cb6-10" data-line-number="10"><span class="co">#     C  0.798  0.806  0.874  0.844  0.891  1.05    10</span></a></code></pre></div>
-<p>So going from <code><a href="../reference/mo_property.html">mo_name("Staphylococcus aureus")</a></code> to <code>"Staphylococcus aureus"</code> takes 0.0008 seconds - it doesn’t even start calculating <em>if the result would be the same as the expected resulting value</em>. That goes for all helper functions:</p>
+<a class="sourceLine" id="cb6-8" data-line-number="8"><span class="co">#     A  6.700  6.950  7.410  7.600  7.730  8.06    10</span></a>
+<a class="sourceLine" id="cb6-9" data-line-number="9"><span class="co">#     B 22.900 23.900 27.000 24.100 24.200 46.00    10</span></a>
+<a class="sourceLine" id="cb6-10" data-line-number="10"><span class="co">#     C  0.772  0.833  0.876  0.874  0.918  1.03    10</span></a></code></pre></div>
+<p>So going from <code><a href="../reference/mo_property.html">mo_name("Staphylococcus aureus")</a></code> to <code>"Staphylococcus aureus"</code> takes 0.0009 seconds - it doesn’t even start calculating <em>if the result would be the same as the expected resulting value</em>. That goes for all helper functions:</p>
 <div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb7-1" data-line-number="1">run_it &lt;-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/microbenchmark/topics/microbenchmark">microbenchmark</a></span>(<span class="dt">A =</span> <span class="kw"><a href="../reference/mo_property.html">mo_species</a></span>(<span class="st">"aureus"</span>),</a>
 <a class="sourceLine" id="cb7-2" data-line-number="2">                         <span class="dt">B =</span> <span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(<span class="st">"Staphylococcus"</span>),</a>
 <a class="sourceLine" id="cb7-3" data-line-number="3">                         <span class="dt">C =</span> <span class="kw"><a href="../reference/mo_property.html">mo_name</a></span>(<span class="st">"Staphylococcus aureus"</span>),</a>
@@ -310,14 +310,14 @@
 <a class="sourceLine" id="cb7-10" data-line-number="10"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(run_it, <span class="dt">unit =</span> <span class="st">"ms"</span>, <span class="dt">signif =</span> <span class="dv">3</span>)</a>
 <a class="sourceLine" id="cb7-11" data-line-number="11"><span class="co"># Unit: milliseconds</span></a>
 <a class="sourceLine" id="cb7-12" data-line-number="12"><span class="co">#  expr   min    lq  mean median    uq   max neval</span></a>
-<a class="sourceLine" id="cb7-13" data-line-number="13"><span class="co">#     A 0.455 0.458 0.471  0.465 0.482 0.504    10</span></a>
-<a class="sourceLine" id="cb7-14" data-line-number="14"><span class="co">#     B 0.480 0.482 0.497  0.491 0.497 0.554    10</span></a>
-<a class="sourceLine" id="cb7-15" data-line-number="15"><span class="co">#     C 0.662 0.687 0.754  0.750 0.788 0.964    10</span></a>
-<a class="sourceLine" id="cb7-16" data-line-number="16"><span class="co">#     D 0.484 0.484 0.496  0.488 0.501 0.544    10</span></a>
-<a class="sourceLine" id="cb7-17" data-line-number="17"><span class="co">#     E 0.442 0.450 0.459  0.456 0.462 0.492    10</span></a>
-<a class="sourceLine" id="cb7-18" data-line-number="18"><span class="co">#     F 0.440 0.447 0.456  0.452 0.463 0.486    10</span></a>
-<a class="sourceLine" id="cb7-19" data-line-number="19"><span class="co">#     G 0.450 0.452 0.462  0.459 0.463 0.485    10</span></a>
-<a class="sourceLine" id="cb7-20" data-line-number="20"><span class="co">#     H 0.455 0.461 0.467  0.467 0.471 0.492    10</span></a></code></pre></div>
+<a class="sourceLine" id="cb7-13" data-line-number="13"><span class="co">#     A 0.472 0.475 0.553  0.562 0.607 0.675    10</span></a>
+<a class="sourceLine" id="cb7-14" data-line-number="14"><span class="co">#     B 0.474 0.482 0.560  0.493 0.577 0.973    10</span></a>
+<a class="sourceLine" id="cb7-15" data-line-number="15"><span class="co">#     C 0.766 0.820 0.899  0.881 0.941 1.070    10</span></a>
+<a class="sourceLine" id="cb7-16" data-line-number="16"><span class="co">#     D 0.459 0.485 0.539  0.503 0.569 0.744    10</span></a>
+<a class="sourceLine" id="cb7-17" data-line-number="17"><span class="co">#     E 0.421 0.448 0.470  0.456 0.488 0.543    10</span></a>
+<a class="sourceLine" id="cb7-18" data-line-number="18"><span class="co">#     F 0.430 0.457 0.534  0.495 0.592 0.738    10</span></a>
+<a class="sourceLine" id="cb7-19" data-line-number="19"><span class="co">#     G 0.420 0.450 0.477  0.463 0.491 0.586    10</span></a>
+<a class="sourceLine" id="cb7-20" data-line-number="20"><span class="co">#     H 0.426 0.437 0.500  0.447 0.461 0.776    10</span></a></code></pre></div>
 <p>Of course, when running <code><a href="../reference/mo_property.html">mo_phylum("Firmicutes")</a></code> the function has zero knowledge about the actual microorganism, namely <em>S. aureus</em>. But since the result would be <code>"Firmicutes"</code> too, there is no point in calculating the result. And because this package ‘knows’ all phyla of all known bacteria (according to the Catalogue of Life), it can just return the initial value immediately.</p>
 </div>
 <div id="results-in-other-languages" class="section level3">
@@ -344,13 +344,13 @@
 <a class="sourceLine" id="cb8-18" data-line-number="18"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(run_it, <span class="dt">unit =</span> <span class="st">"ms"</span>, <span class="dt">signif =</span> <span class="dv">4</span>)</a>
 <a class="sourceLine" id="cb8-19" data-line-number="19"><span class="co"># Unit: milliseconds</span></a>
 <a class="sourceLine" id="cb8-20" data-line-number="20"><span class="co">#  expr   min    lq  mean median    uq   max neval</span></a>
-<a class="sourceLine" id="cb8-21" data-line-number="21"><span class="co">#    en 17.66 17.86 18.50  18.49 19.14 19.36    10</span></a>
-<a class="sourceLine" id="cb8-22" data-line-number="22"><span class="co">#    de 19.03 19.38 19.64  19.49 20.01 20.42    10</span></a>
-<a class="sourceLine" id="cb8-23" data-line-number="23"><span class="co">#    nl 24.40 25.23 30.77  25.78 41.94 44.93    10</span></a>
-<a class="sourceLine" id="cb8-24" data-line-number="24"><span class="co">#    es 19.18 19.22 23.30  19.53 21.34 39.20    10</span></a>
-<a class="sourceLine" id="cb8-25" data-line-number="25"><span class="co">#    it 19.02 19.24 23.53  19.57 20.35 50.89    10</span></a>
-<a class="sourceLine" id="cb8-26" data-line-number="26"><span class="co">#    fr 19.28 19.33 19.87  19.57 20.19 21.25    10</span></a>
-<a class="sourceLine" id="cb8-27" data-line-number="27"><span class="co">#    pt 18.89 19.14 19.77  19.67 20.21 20.99    10</span></a></code></pre></div>
+<a class="sourceLine" id="cb8-21" data-line-number="21"><span class="co">#    en 18.77 19.83 25.36  20.44 28.51 45.88    10</span></a>
+<a class="sourceLine" id="cb8-22" data-line-number="22"><span class="co">#    de 20.37 20.86 23.19  21.45 22.23 39.08    10</span></a>
+<a class="sourceLine" id="cb8-23" data-line-number="23"><span class="co">#    nl 26.50 27.09 27.74  27.58 28.10 29.74    10</span></a>
+<a class="sourceLine" id="cb8-24" data-line-number="24"><span class="co">#    es 20.82 21.18 21.66  21.27 22.04 23.64    10</span></a>
+<a class="sourceLine" id="cb8-25" data-line-number="25"><span class="co">#    it 19.82 20.65 25.98  21.22 22.13 50.42    10</span></a>
+<a class="sourceLine" id="cb8-26" data-line-number="26"><span class="co">#    fr 20.07 21.20 21.68  21.47 21.89 23.76    10</span></a>
+<a class="sourceLine" id="cb8-27" data-line-number="27"><span class="co">#    pt 19.87 20.63 22.76  21.07 21.68 38.11    10</span></a></code></pre></div>
 <p>Currently supported are German, Dutch, Spanish, Italian, French and Portuguese.</p>
 </div>
   </div>
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diff --git a/docs/articles/index.html b/docs/articles/index.html
index b8b53703..4b572158 100644
--- a/docs/articles/index.html
+++ b/docs/articles/index.html
@@ -78,7 +78,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">AMR (for R)</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9035</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9036</span>
       </span>
     </div>
 
diff --git a/docs/authors.html b/docs/authors.html
index c4e81532..38ef6d49 100644
--- a/docs/authors.html
+++ b/docs/authors.html
@@ -78,7 +78,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="index.html">AMR (for R)</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9035</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9036</span>
       </span>
     </div>
 
diff --git a/docs/index.html b/docs/index.html
index a5a1bb68..67083bd3 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -42,7 +42,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="index.html">AMR (for R)</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9035</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9036</span>
       </span>
     </div>
 
diff --git a/docs/news/index.html b/docs/news/index.html
index 9575cea0..b1435014 100644
--- a/docs/news/index.html
+++ b/docs/news/index.html
@@ -78,7 +78,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">AMR (for R)</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9035</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9036</span>
       </span>
     </div>
 
@@ -225,9 +225,9 @@
       
     </div>
 
-    <div id="amr-0-7-1-9035" class="section level1">
+    <div id="amr-0-7-1-9036" class="section level1">
 <h1 class="page-header">
-<a href="#amr-0-7-1-9035" class="anchor"></a>AMR 0.7.1.9035<small> Unreleased </small>
+<a href="#amr-0-7-1-9036" class="anchor"></a>AMR 0.7.1.9036<small> Unreleased </small>
 </h1>
 <div id="breaking" class="section level3">
 <h3 class="hasAnchor">
@@ -289,15 +289,12 @@
 </ul>
 </li>
 <li>
-<p>Added tibble printing support for classes <code>rsi</code>, <code>mic</code>, <code>ab</code> and <code>mo</code>. When using tibbles containing antibiotic columns, values <code>S</code> will print in green, values <code>I</code> will print in yellow and values <code>R</code> will print in red:</p>
+<p>Added tibble printing support for classes <code>rsi</code>, <code>mic</code>, <code>disk</code>, <code>ab</code> <code>mo</code>. When using tibbles containing antibiotic columns, values <code>S</code> will print in green, values <code>I</code> will print in yellow and values <code>R</code> will print in red. Microbial IDs (class <code>mo</code>) will emphasise on the genus and species, not on the kingdom.</p>
 <div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" data-line-number="1"><span class="co"># (run this on your own console, as this page does not support colour printing)</span></a>
-<a class="sourceLine" id="cb3-2" data-line-number="2"><span class="kw">tibble</span>(<span class="dt">mo =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/sample">sample</a></span>(AMR<span class="op">::</span>microorganisms<span class="op">$</span>fullname, <span class="dv">10</span>),</a>
-<a class="sourceLine" id="cb3-3" data-line-number="3">       <span class="dt">drug1 =</span> <span class="kw"><a href="../reference/as.rsi.html">as.rsi</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/sample">sample</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"S"</span>, <span class="st">"I"</span>, <span class="st">"R"</span>), <span class="dv">10</span>, <span class="dt">replace =</span> <span class="ot">TRUE</span>, </a>
-<a class="sourceLine" id="cb3-4" data-line-number="4">                             <span class="dt">prob =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="fl">0.6</span>, <span class="fl">0.1</span>, <span class="fl">0.3</span>))),</a>
-<a class="sourceLine" id="cb3-5" data-line-number="5">       <span class="dt">drug2 =</span> <span class="kw"><a href="../reference/as.rsi.html">as.rsi</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/sample">sample</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"S"</span>, <span class="st">"I"</span>, <span class="st">"R"</span>), <span class="dv">10</span>, <span class="dt">replace =</span> <span class="ot">TRUE</span>,</a>
-<a class="sourceLine" id="cb3-6" data-line-number="6">                             <span class="dt">prob =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="fl">0.6</span>, <span class="fl">0.1</span>, <span class="fl">0.3</span>))),</a>
-<a class="sourceLine" id="cb3-7" data-line-number="7">       <span class="dt">drug3 =</span> <span class="kw"><a href="../reference/as.rsi.html">as.rsi</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/sample">sample</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="st">"S"</span>, <span class="st">"I"</span>, <span class="st">"R"</span>), <span class="dv">10</span>, <span class="dt">replace =</span> <span class="ot">TRUE</span>,</a>
-<a class="sourceLine" id="cb3-8" data-line-number="8">                             <span class="dt">prob =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="fl">0.6</span>, <span class="fl">0.1</span>, <span class="fl">0.3</span>))))</a></code></pre></div>
+<a class="sourceLine" id="cb3-2" data-line-number="2"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/library">library</a></span>(dplyr)</a>
+<a class="sourceLine" id="cb3-3" data-line-number="3">septic_patients <span class="op">%&gt;%</span></a>
+<a class="sourceLine" id="cb3-4" data-line-number="4"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/select.html">select</a></span>(mo<span class="op">:</span>AMC) <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb3-5" data-line-number="5"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/reexports.html">as_tibble</a></span>()</a></code></pre></div>
 </li>
 <li>Removed class <code>atc</code> - using <code><a href="../reference/AMR-deprecated.html">as.atc()</a></code> is now deprecated in favour of <code><a href="../reference/ab_property.html">ab_atc()</a></code> and this will return a character, not the <code>atc</code> class anymore</li>
 <li>Removed deprecated functions <code>abname()</code>, <code>ab_official()</code>, <code>atc_name()</code>, <code>atc_official()</code>, <code>atc_property()</code>, <code>atc_tradenames()</code>, <code>atc_trivial_nl()</code>
@@ -316,8 +313,10 @@
 <li>Fix for using <code>mo_*</code> functions where the coercion uncertainties and failures would not be available through <code><a href="../reference/as.mo.html">mo_uncertainties()</a></code> and <code><a href="../reference/as.mo.html">mo_failures()</a></code> anymore</li>
 <li>Deprecated the <code>country</code> parameter of <code><a href="../reference/mdro.html">mdro()</a></code> in favour of the already existing <code>guideline</code> parameter to support multiple guidelines within one country</li>
 <li>The <code>name</code> of <code>RIF</code> is now Rifampicin instead of Rifampin</li>
-<li>The <code>antibiotics</code> data set is now sorted by name and all cephalosporines now have their generation between brackets</li>
-<li><p>Speed improvement for <code><a href="../reference/guess_ab_col.html">guess_ab_col()</a></code> which is now 30 times faster for antibiotic abbreviations</p></li>
+<li>The <code>antibiotics</code> data set is now sorted by name and all cephalosporins now have their generation between brackets</li>
+<li>Speed improvement for <code><a href="../reference/guess_ab_col.html">guess_ab_col()</a></code> which is now 30 times faster for antibiotic abbreviations</li>
+<li>Improved <code><a href="../reference/filter_ab_class.html">filter_ab_class()</a></code> to be more reliable and to support 5th generation cephalosporins</li>
+<li><p>Classes <code>ab</code> and <code>mo</code> will now be preserved in any subsetting</p></li>
 </ul>
 <div id="other" class="section level4">
 <h4 class="hasAnchor">
@@ -339,7 +338,7 @@
 <li>
 <p>Function <code><a href="../reference/portion.html">rsi_df()</a></code> to transform a <code>data.frame</code> to a data set containing only the microbial interpretation (S, I, R), the antibiotic, the percentage of S/I/R and the number of available isolates. This is a convenient combination of the existing functions <code><a href="../reference/count.html">count_df()</a></code> and <code><a href="../reference/portion.html">portion_df()</a></code> to immediately show resistance percentages and number of available isolates:</p>
 <div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" data-line-number="1">septic_patients <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb4-2" data-line-number="2"><span class="st">  </span><span class="kw">select</span>(AMX, CIP) <span class="op">%&gt;%</span></a>
+<a class="sourceLine" id="cb4-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/select.html">select</a></span>(AMX, CIP) <span class="op">%&gt;%</span></a>
 <a class="sourceLine" id="cb4-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="../reference/portion.html">rsi_df</a></span>()</a>
 <a class="sourceLine" id="cb4-4" data-line-number="4"><span class="co">#      antibiotic  interpretation      value  isolates</span></a>
 <a class="sourceLine" id="cb4-5" data-line-number="5"><span class="co"># 1   Amoxicillin              SI  0.4442636       546</span></a>
@@ -472,7 +471,7 @@ Please <a href="https://gitlab.com/msberends/AMR/issues/new?issue%5Btitle%5D=Tra
 <a class="sourceLine" id="cb6-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/boxplot">boxplot</a></span>()</a>
 <a class="sourceLine" id="cb6-4" data-line-number="4"><span class="co"># grouped boxplots:</span></a>
 <a class="sourceLine" id="cb6-5" data-line-number="5">septic_patients <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb6-6" data-line-number="6"><span class="st">  </span><span class="kw">group_by</span>(hospital_id) <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb6-6" data-line-number="6"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span>(hospital_id) <span class="op">%&gt;%</span><span class="st"> </span></a>
 <a class="sourceLine" id="cb6-7" data-line-number="7"><span class="st">  </span><span class="kw">freq</span>(age) <span class="op">%&gt;%</span></a>
 <a class="sourceLine" id="cb6-8" data-line-number="8"><span class="st">  </span><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/boxplot">boxplot</a></span>()</a></code></pre></div>
 </li>
@@ -607,9 +606,9 @@ These functions use <code><a href="../reference/AMR-deprecated.html">as.atc()</a
 <a class="sourceLine" id="cb11-3" data-line-number="3"><span class="kw"><a href="../reference/first_isolate.html">filter_first_isolate</a></span>(septic_patients, ...)</a></code></pre></div>
 <p>is equal to:</p>
 <div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb12-1" data-line-number="1">septic_patients <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb12-2" data-line-number="2"><span class="st">  </span><span class="kw">mutate</span>(<span class="dt">only_firsts =</span> <span class="kw"><a href="../reference/first_isolate.html">first_isolate</a></span>(septic_patients, ...)) <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb12-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="https://www.rdocumentation.org/packages/stats/topics/filter">filter</a></span>(only_firsts <span class="op">==</span><span class="st"> </span><span class="ot">TRUE</span>) <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb12-4" data-line-number="4"><span class="st">  </span><span class="kw">select</span>(<span class="op">-</span>only_firsts)</a></code></pre></div>
+<a class="sourceLine" id="cb12-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span>(<span class="dt">only_firsts =</span> <span class="kw"><a href="../reference/first_isolate.html">first_isolate</a></span>(septic_patients, ...)) <span class="op">%&gt;%</span></a>
+<a class="sourceLine" id="cb12-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/filter.html">filter</a></span>(only_firsts <span class="op">==</span><span class="st"> </span><span class="ot">TRUE</span>) <span class="op">%&gt;%</span></a>
+<a class="sourceLine" id="cb12-4" data-line-number="4"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/select.html">select</a></span>(<span class="op">-</span>only_firsts)</a></code></pre></div>
 </li>
 <li>New function <code><a href="../reference/availability.html">availability()</a></code> to check the number of available (non-empty) results in a <code>data.frame</code>
 </li>
@@ -713,7 +712,7 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 <div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb16-1" data-line-number="1"><span class="co"># Determine genus of microorganisms (mo) in `septic_patients` data set:</span></a>
 <a class="sourceLine" id="cb16-2" data-line-number="2"><span class="co"># OLD WAY</span></a>
 <a class="sourceLine" id="cb16-3" data-line-number="3">septic_patients <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb16-4" data-line-number="4"><span class="st">  </span><span class="kw">mutate</span>(<span class="dt">genus =</span> <span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(mo)) <span class="op">%&gt;%</span></a>
+<a class="sourceLine" id="cb16-4" data-line-number="4"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/mutate.html">mutate</a></span>(<span class="dt">genus =</span> <span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(mo)) <span class="op">%&gt;%</span></a>
 <a class="sourceLine" id="cb16-5" data-line-number="5"><span class="st">  </span><span class="kw">freq</span>(genus)</a>
 <a class="sourceLine" id="cb16-6" data-line-number="6"><span class="co"># NEW WAY</span></a>
 <a class="sourceLine" id="cb16-7" data-line-number="7">septic_patients <span class="op">%&gt;%</span><span class="st"> </span></a>
@@ -721,7 +720,7 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 <a class="sourceLine" id="cb16-9" data-line-number="9"></a>
 <a class="sourceLine" id="cb16-10" data-line-number="10"><span class="co"># Even supports grouping variables:</span></a>
 <a class="sourceLine" id="cb16-11" data-line-number="11">septic_patients <span class="op">%&gt;%</span></a>
-<a class="sourceLine" id="cb16-12" data-line-number="12"><span class="st">  </span><span class="kw">group_by</span>(gender) <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb16-12" data-line-number="12"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span>(gender) <span class="op">%&gt;%</span><span class="st"> </span></a>
 <a class="sourceLine" id="cb16-13" data-line-number="13"><span class="st">  </span><span class="kw">freq</span>(<span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(mo))</a></code></pre></div>
 </li>
 <li>Header info is now available as a list, with the <code>header</code> function</li>
@@ -734,7 +733,7 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 </li>
 <li>New parameter <code>droplevels</code> to exclude empty factor levels when input is a factor</li>
 <li>Factor levels will be in header when present in input data (maximum of 5)</li>
-<li>Fix for using <code>select()</code> on frequency tables</li>
+<li>Fix for using <code><a href="https://dplyr.tidyverse.org/reference/select.html">select()</a></code> on frequency tables</li>
 </ul>
 </li>
 <li>Function <code><a href="../reference/ggplot_rsi.html">scale_y_percent()</a></code> now contains the <code>limits</code> parameter</li>
@@ -814,14 +813,14 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 <li>
 <p>Support for grouping variables, test with:</p>
 <div class="sourceCode" id="cb18"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb18-1" data-line-number="1">septic_patients <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb18-2" data-line-number="2"><span class="st">  </span><span class="kw">group_by</span>(hospital_id) <span class="op">%&gt;%</span><span class="st"> </span></a>
+<a class="sourceLine" id="cb18-2" data-line-number="2"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/group_by.html">group_by</a></span>(hospital_id) <span class="op">%&gt;%</span><span class="st"> </span></a>
 <a class="sourceLine" id="cb18-3" data-line-number="3"><span class="st">  </span><span class="kw">freq</span>(gender)</a></code></pre></div>
 </li>
 <li>
 <p>Support for (un)selecting columns:</p>
 <div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb19-1" data-line-number="1">septic_patients <span class="op">%&gt;%</span><span class="st"> </span></a>
 <a class="sourceLine" id="cb19-2" data-line-number="2"><span class="st">  </span><span class="kw">freq</span>(hospital_id) <span class="op">%&gt;%</span><span class="st"> </span></a>
-<a class="sourceLine" id="cb19-3" data-line-number="3"><span class="st">  </span><span class="kw">select</span>(<span class="op">-</span>count, <span class="op">-</span>cum_count) <span class="co"># only get item, percent, cum_percent</span></a></code></pre></div>
+<a class="sourceLine" id="cb19-3" data-line-number="3"><span class="st">  </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/select.html">select</a></span>(<span class="op">-</span>count, <span class="op">-</span>cum_count) <span class="co"># only get item, percent, cum_percent</span></a></code></pre></div>
 </li>
 <li>Check for <code><a href="https://www.rdocumentation.org/packages/hms/topics/Deprecated">hms::is.hms</a></code>
 </li>
@@ -978,7 +977,7 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
 </li>
 <li>
 <p>Support for quasiquotation in the functions series <code>count_*</code> and <code>portions_*</code>, and <code>n_rsi</code>. This allows to check for more than 2 vectors or columns.</p>
-<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb25-1" data-line-number="1">septic_patients <span class="op">%&gt;%</span><span class="st"> </span><span class="kw">select</span>(amox, cipr) <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/count.html">count_IR</a></span>()</a>
+<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb25-1" data-line-number="1">septic_patients <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="https://dplyr.tidyverse.org/reference/select.html">select</a></span>(amox, cipr) <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/count.html">count_IR</a></span>()</a>
 <a class="sourceLine" id="cb25-2" data-line-number="2"><span class="co"># which is the same as:</span></a>
 <a class="sourceLine" id="cb25-3" data-line-number="3">septic_patients <span class="op">%&gt;%</span><span class="st"> </span><span class="kw"><a href="../reference/count.html">count_IR</a></span>(amox, cipr)</a>
 <a class="sourceLine" id="cb25-4" data-line-number="4"></a>
@@ -1237,7 +1236,7 @@ Using <code><a href="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a
     <div id="tocnav">
       <h2>Contents</h2>
       <ul class="nav nav-pills nav-stacked">
-        <li><a href="#amr-0-7-1-9035">0.7.1.9035</a></li>
+        <li><a href="#amr-0-7-1-9036">0.7.1.9036</a></li>
         <li><a href="#amr-0-7-1">0.7.1</a></li>
         <li><a href="#amr-0-7-0">0.7.0</a></li>
         <li><a href="#amr-0-6-1">0.6.1</a></li>
diff --git a/docs/reference/as.rsi.html b/docs/reference/as.rsi.html
index 40c0c138..c270224b 100644
--- a/docs/reference/as.rsi.html
+++ b/docs/reference/as.rsi.html
@@ -80,7 +80,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">AMR (for R)</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9035</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9036</span>
       </span>
     </div>
 
diff --git a/docs/reference/filter_ab_class.html b/docs/reference/filter_ab_class.html
index 3a558c84..bc5e04dc 100644
--- a/docs/reference/filter_ab_class.html
+++ b/docs/reference/filter_ab_class.html
@@ -80,7 +80,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">AMR (for R)</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9029</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9036</span>
       </span>
     </div>
 
@@ -234,40 +234,42 @@
     
     </div>
 
-    <pre class="usage"><span class='fu'>filter_ab_class</span>(<span class='no'>tbl</span>, <span class='no'>ab_class</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
+    <pre class="usage"><span class='fu'>filter_ab_class</span>(<span class='no'>x</span>, <span class='no'>ab_class</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
 
-<span class='fu'>filter_aminoglycosides</span>(<span class='no'>tbl</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
+<span class='fu'>filter_aminoglycosides</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
 
-<span class='fu'>filter_carbapenems</span>(<span class='no'>tbl</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
+<span class='fu'>filter_carbapenems</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
 
-<span class='fu'>filter_cephalosporins</span>(<span class='no'>tbl</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
+<span class='fu'>filter_cephalosporins</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
 
-<span class='fu'>filter_1st_cephalosporins</span>(<span class='no'>tbl</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
+<span class='fu'>filter_1st_cephalosporins</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
 
-<span class='fu'>filter_2nd_cephalosporins</span>(<span class='no'>tbl</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
+<span class='fu'>filter_2nd_cephalosporins</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
 
-<span class='fu'>filter_3rd_cephalosporins</span>(<span class='no'>tbl</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
+<span class='fu'>filter_3rd_cephalosporins</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
 
-<span class='fu'>filter_4th_cephalosporins</span>(<span class='no'>tbl</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
+<span class='fu'>filter_4th_cephalosporins</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
 
-<span class='fu'>filter_fluoroquinolones</span>(<span class='no'>tbl</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
+<span class='fu'>filter_5th_cephalosporins</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
 
-<span class='fu'>filter_glycopeptides</span>(<span class='no'>tbl</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
+<span class='fu'>filter_fluoroquinolones</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
 
-<span class='fu'>filter_macrolides</span>(<span class='no'>tbl</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
+<span class='fu'>filter_glycopeptides</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
 
-<span class='fu'>filter_tetracyclines</span>(<span class='no'>tbl</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)</pre>
+<span class='fu'>filter_macrolides</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)
+
+<span class='fu'>filter_tetracyclines</span>(<span class='no'>x</span>, <span class='kw'>result</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='kw'>scope</span> <span class='kw'>=</span> <span class='st'>"any"</span>, <span class='no'>...</span>)</pre>
     
     <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
     <table class="ref-arguments">
     <colgroup><col class="name" /><col class="desc" /></colgroup>
     <tr>
-      <th>tbl</th>
+      <th>x</th>
       <td><p>a data set</p></td>
     </tr>
     <tr>
       <th>ab_class</th>
-      <td><p>an antimicrobial class, like <code>"carbapenems"</code>. More specifically, this should be a text that can be found in a 4th level ATC group (chemical subgroup) or a 5th level ATC group (chemical substance), please see <a href='https://www.whocc.no/atc/structure_and_principles/'>this explanation on the WHOCC website</a>.</p></td>
+      <td><p>an antimicrobial class, like <code>"carbapenems"</code>, as can be found in <code>AMR::antibiotics$group</code></p></td>
     </tr>
     <tr>
       <th>result</th>
@@ -285,7 +287,7 @@
     
     <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
 
-    <p>The <code><a href='antibiotics.html'>antibiotics</a></code> data set will be searched for <code>ab_class</code> in the columns <code>atc_group1</code> and <code>atc_group2</code> (case-insensitive). Next, <code>tbl</code> will be checked for column names with a value in any abbreviations, codes or official names found in the <code>antibiotics</code> data set.</p>
+    <p>The <code>group</code> column in <code><a href='antibiotics.html'>antibiotics</a></code> data set will be searched for <code>ab_class</code> (case-insensitive). If no results are found, the <code>atc_group1</code> and <code>atc_group2</code> columns will be searched. Next, <code>x</code> will be checked for column names with a value in any abbreviations, codes or official names found in the <code>antibiotics</code> data set.</p>
     
 
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
diff --git a/docs/reference/index.html b/docs/reference/index.html
index de5910f1..18ece678 100644
--- a/docs/reference/index.html
+++ b/docs/reference/index.html
@@ -78,7 +78,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">AMR (for R)</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9035</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9036</span>
       </span>
     </div>
 
@@ -428,7 +428,7 @@
       </tr><tr>
         
         <td>
-          <p><code><a href="filter_ab_class.html">filter_ab_class()</a></code> <code><a href="filter_ab_class.html">filter_aminoglycosides()</a></code> <code><a href="filter_ab_class.html">filter_carbapenems()</a></code> <code><a href="filter_ab_class.html">filter_cephalosporins()</a></code> <code><a href="filter_ab_class.html">filter_1st_cephalosporins()</a></code> <code><a href="filter_ab_class.html">filter_2nd_cephalosporins()</a></code> <code><a href="filter_ab_class.html">filter_3rd_cephalosporins()</a></code> <code><a href="filter_ab_class.html">filter_4th_cephalosporins()</a></code> <code><a href="filter_ab_class.html">filter_fluoroquinolones()</a></code> <code><a href="filter_ab_class.html">filter_glycopeptides()</a></code> <code><a href="filter_ab_class.html">filter_macrolides()</a></code> <code><a href="filter_ab_class.html">filter_tetracyclines()</a></code> </p>
+          <p><code><a href="filter_ab_class.html">filter_ab_class()</a></code> <code><a href="filter_ab_class.html">filter_aminoglycosides()</a></code> <code><a href="filter_ab_class.html">filter_carbapenems()</a></code> <code><a href="filter_ab_class.html">filter_cephalosporins()</a></code> <code><a href="filter_ab_class.html">filter_1st_cephalosporins()</a></code> <code><a href="filter_ab_class.html">filter_2nd_cephalosporins()</a></code> <code><a href="filter_ab_class.html">filter_3rd_cephalosporins()</a></code> <code><a href="filter_ab_class.html">filter_4th_cephalosporins()</a></code> <code><a href="filter_ab_class.html">filter_5th_cephalosporins()</a></code> <code><a href="filter_ab_class.html">filter_fluoroquinolones()</a></code> <code><a href="filter_ab_class.html">filter_glycopeptides()</a></code> <code><a href="filter_ab_class.html">filter_macrolides()</a></code> <code><a href="filter_ab_class.html">filter_tetracyclines()</a></code> </p>
         </td>
         <td><p>Filter isolates on result in antibiotic class</p></td>
       </tr><tr>
diff --git a/docs/reference/like.html b/docs/reference/like.html
index b5d0978f..74fb7a39 100644
--- a/docs/reference/like.html
+++ b/docs/reference/like.html
@@ -80,7 +80,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">AMR (for R)</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9035</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9036</span>
       </span>
     </div>
 
diff --git a/docs/reference/translate.html b/docs/reference/translate.html
index 083b5d6f..e97f7a94 100644
--- a/docs/reference/translate.html
+++ b/docs/reference/translate.html
@@ -80,7 +80,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">AMR (for R)</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9035</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9036</span>
       </span>
     </div>
 
diff --git a/man/filter_ab_class.Rd b/man/filter_ab_class.Rd
index 31859f4b..55101198 100644
--- a/man/filter_ab_class.Rd
+++ b/man/filter_ab_class.Rd
@@ -9,40 +9,43 @@
 \alias{filter_2nd_cephalosporins}
 \alias{filter_3rd_cephalosporins}
 \alias{filter_4th_cephalosporins}
+\alias{filter_5th_cephalosporins}
 \alias{filter_fluoroquinolones}
 \alias{filter_glycopeptides}
 \alias{filter_macrolides}
 \alias{filter_tetracyclines}
 \title{Filter isolates on result in antibiotic class}
 \usage{
-filter_ab_class(tbl, ab_class, result = NULL, scope = "any", ...)
+filter_ab_class(x, ab_class, result = NULL, scope = "any", ...)
 
-filter_aminoglycosides(tbl, result = NULL, scope = "any", ...)
+filter_aminoglycosides(x, result = NULL, scope = "any", ...)
 
-filter_carbapenems(tbl, result = NULL, scope = "any", ...)
+filter_carbapenems(x, result = NULL, scope = "any", ...)
 
-filter_cephalosporins(tbl, result = NULL, scope = "any", ...)
+filter_cephalosporins(x, result = NULL, scope = "any", ...)
 
-filter_1st_cephalosporins(tbl, result = NULL, scope = "any", ...)
+filter_1st_cephalosporins(x, result = NULL, scope = "any", ...)
 
-filter_2nd_cephalosporins(tbl, result = NULL, scope = "any", ...)
+filter_2nd_cephalosporins(x, result = NULL, scope = "any", ...)
 
-filter_3rd_cephalosporins(tbl, result = NULL, scope = "any", ...)
+filter_3rd_cephalosporins(x, result = NULL, scope = "any", ...)
 
-filter_4th_cephalosporins(tbl, result = NULL, scope = "any", ...)
+filter_4th_cephalosporins(x, result = NULL, scope = "any", ...)
 
-filter_fluoroquinolones(tbl, result = NULL, scope = "any", ...)
+filter_5th_cephalosporins(x, result = NULL, scope = "any", ...)
 
-filter_glycopeptides(tbl, result = NULL, scope = "any", ...)
+filter_fluoroquinolones(x, result = NULL, scope = "any", ...)
 
-filter_macrolides(tbl, result = NULL, scope = "any", ...)
+filter_glycopeptides(x, result = NULL, scope = "any", ...)
 
-filter_tetracyclines(tbl, result = NULL, scope = "any", ...)
+filter_macrolides(x, result = NULL, scope = "any", ...)
+
+filter_tetracyclines(x, result = NULL, scope = "any", ...)
 }
 \arguments{
-\item{tbl}{a data set}
+\item{x}{a data set}
 
-\item{ab_class}{an antimicrobial class, like \code{"carbapenems"}. More specifically, this should be a text that can be found in a 4th level ATC group (chemical subgroup) or a 5th level ATC group (chemical substance), please see \href{https://www.whocc.no/atc/structure_and_principles/}{this explanation on the WHOCC website}.}
+\item{ab_class}{an antimicrobial class, like \code{"carbapenems"}, as can be found in \code{AMR::antibiotics$group}}
 
 \item{result}{an antibiotic result: S, I or R (or a combination of more of them)}
 
@@ -54,7 +57,7 @@ filter_tetracyclines(tbl, result = NULL, scope = "any", ...)
 Filter isolates on results in specific antibiotic variables based on their class (ATC groups). This makes it easy to get a list of isolates that were tested for e.g. any aminoglycoside.
 }
 \details{
-The \code{\link{antibiotics}} data set will be searched for \code{ab_class} in the columns \code{atc_group1} and \code{atc_group2} (case-insensitive). Next, \code{tbl} will be checked for column names with a value in any abbreviations, codes or official names found in the \code{antibiotics} data set.
+The \code{group} column in \code{\link{antibiotics}} data set will be searched for \code{ab_class} (case-insensitive). If no results are found, the \code{atc_group1} and \code{atc_group2} columns will be searched. Next, \code{x} will be checked for column names with a value in any abbreviations, codes or official names found in the \code{antibiotics} data set.
 }
 \examples{
 library(dplyr)
diff --git a/tests/testthat/test-mo.R b/tests/testthat/test-mo.R
index 85a07fe6..8340ed48 100644
--- a/tests/testthat/test-mo.R
+++ b/tests/testthat/test-mo.R
@@ -159,8 +159,7 @@ test_that("as.mo works", {
     septic_patients[1:10,] %>%
       left_join_microorganisms() %>%
       select(genus, species) %>%
-      as.mo() %>%
-      as.character())
+      as.mo())
 
   # unknown results
   expect_warning(as.mo(c("INVALID", "Yeah, unknown")))
@@ -271,7 +270,7 @@ test_that("as.mo works", {
   expect_equal(as.character(as.mo("F_CANDD_GLB")), "F_CANDD_GLA")
   
   # debug mode
-  expect_warning(as.mo("kshgcjkhsdgkshjdfsfvsdfv", debug = TRUE, allow_uncertain = 3))
+  expect_output(print(suppressWarnings(as.mo("kshgcjkhsdgkshjdfsfvsdfv", debug = TRUE, allow_uncertain = 3))))
 
   # ..coccus
   expect_equal(as.character(as.mo(c("meningococ", "gonococ", "pneumococ"))),