DESCRIPTION

@@ -1,5 +1,5 @@
 Package: AMR
-Version: 1.4.0.9051
+Version: 1.4.0.9049
 Date: 2020-12-27
 Title: Antimicrobial Resistance Analysis
 Authors@R: c(

NEWS.md

@@ -1,4 +1,4 @@
-# AMR 1.4.0.9051
+# AMR 1.4.0.9049
 ## <small>Last updated: 27 December 2020</small>
 
 ### New
@@ -47,7 +47,6 @@
 * Fix for printing class <mo> in tibbles when all values are `NA`
 * Fix for `mo_shortname()` when the input contains `NA`
 * If `as.mo()` takes more than 30 seconds, some suggestions will be done to improve speed
-* Lost dependency on the `tidyselect` package for using antibiotic selectors such as `carbapenems()` and `aminoglycosides()`
 
 ### Other
 * All messages and warnings thrown by this package now break sentences on whole words

R/ab_class_selectors.R

@@ -25,9 +25,11 @@
 
 #' Antibiotic class selectors
 #' 
-#' These functions help to select the columns of antibiotics that are of a specific antibiotic class, without the need to define the columns or antibiotic abbreviations.
+#' Use these selection helpers inside any function that allows [Tidyverse selection helpers](https://tidyselect.r-lib.org/reference/language.html), such as [`select()`][dplyr::select()] and [`pivot_longer()`][tidyr::pivot_longer()]. They help to select the columns of antibiotics that are of a specific antibiotic class, without the need to define the columns or antibiotic abbreviations.
 #' @inheritParams filter_ab_class 
 #' @details All columns will be searched for known antibiotic names, abbreviations, brand names and codes (ATC, EARS-Net, WHO, etc.) in the [antibiotics] data set. This means that a selector like e.g. [aminoglycosides()] will pick up column names like 'gen', 'genta', 'J01GB03', 'tobra', 'Tobracin', etc.
+#' 
+#' **N.B. These functions require the `tidyselect` package to be installed**, that comes with the `dplyr` package. An error will be thrown if the `tidyselect` package is not installed, or if the functions are used outside a function that allows [Tidyverse selection helpers](https://tidyselect.r-lib.org/reference/language.html) such as [`select()`][dplyr::select()] and [`pivot_longer()`][tidyr::pivot_longer()]`.
 #' @rdname antibiotic_class_selectors
 #' @seealso [filter_ab_class()] for the `filter()` equivalent.
 #' @name antibiotic_class_selectors
@@ -35,14 +37,6 @@
 #' @inheritSection AMR Reference data publicly available
 #' @inheritSection AMR Read more on our website!
 #' @examples 
-#' # `example_isolates` is a dataset available in the AMR package.
-#' # See ?example_isolates.
-#' 
-#' # this will select columns 'IPM' (imipenem) and 'MEM' (meropenem):
-#' example_isolates[, c(carbapenems())]
-#' # this will select columns 'mo', 'AMK', 'GEN', 'KAN' and 'TOB':
-#' example_isolates[, c("mo", aminoglycosides())]
-#' 
 #' if (require("dplyr")) {
 #' 
 #'   # this will select columns 'IPM' (imipenem) and 'MEM' (meropenem):
@@ -70,11 +64,6 @@
 #'              J01CA01 = "S") %>%   # ATC code of ampicillin
 #'     select(penicillins())         # only the 'J01CA01' column will be selected
 #'
-#'     
-#'   # with dplyr 1.0.0 and higher (that adds 'across()'), this is equal:
-#'   # (though the row names on the first are more correct)
-#'   example_isolates %>% filter_carbapenems("R", "all")
-#'   example_isolates %>% filter(across(carbapenems(), ~. == "R"))
 #' }
 ab_class <- function(ab_class) {
   ab_selector(ab_class, function_name = "ab_class")
@@ -162,18 +151,10 @@ ab_selector <- function(ab_class, function_name) {
   meet_criteria(ab_class, allow_class = "character", has_length = 1, .call_depth = 1)
   meet_criteria(function_name, allow_class = "character", has_length = 1, .call_depth = 1)
 
-  for (i in seq_len(length(sys.frames()))) {
-    vars_df <- tryCatch(sys.frames()[[i]]$x, error = function(e) NULL)
-    if (!is.null(vars_df) && is.data.frame(vars_df)) {
-      # when using e.g. example_isolates[, carbapenems()] or example_isolates %>% select(carbapenems())
-      break
-    } else if (!is.null(vars_df) && is.list(vars_df)) {
-      # when using e.g. example_isolates %>% filter(across(carbapenems(), ~. == "R"))
-      vars_df <- as.data.frame(vars_df, stringsAsFactors = FALSE)
-      break
-    }
-  }
-  stop_ifnot(is.data.frame(vars_df), "this function must be used inside dplyr selection verbs or within a data.frame call.", call = -2)
+  peek_vars_tidyselect <- import_fn("peek_vars", "tidyselect")
+  vars_vct <- peek_vars_tidyselect(fn = function_name)
+  vars_df <- data.frame(as.list(vars_vct), stringsAsFactors = FALSE)[1, , drop = FALSE]
+  colnames(vars_df) <- vars_vct
   ab_in_data <- get_column_abx(vars_df, info = FALSE)
   
   if (length(ab_in_data) == 0) {
@@ -194,7 +175,6 @@ ab_selector <- function(ab_class, function_name) {
   }
   # get the columns with a group names in the chosen ab class
   agents <- ab_in_data[names(ab_in_data) %in% ab_reference$ab]
-  if (message_not_thrown_before(function_name)) {
   if (length(agents) == 0) {
     message_("No antimicrobial agents of class ", ab_group, " found", examples, ".")
   } else {
@@ -205,7 +185,5 @@ ab_selector <- function(ab_class, function_name) {
              as_note = FALSE,
              extra_indent = nchar(paste0("Selecting ", ab_group, ": ")))
   }
-   remember_thrown_message(function_name)
- }
   unname(agents)
 }

R/filter_ab_class.R

@@ -71,7 +71,6 @@
 #'     filter_fluoroquinolones("R", "all")
 #'   
 #'   # with dplyr 1.0.0 and higher (that adds 'across()'), this is equal:
-#'   # (though the row names on the first are more correct)
 #'   example_isolates %>% filter_carbapenems("R", "all")
 #'   example_isolates %>% filter(across(carbapenems(), ~. == "R"))
 #' }

R/first_isolate.R

@@ -27,7 +27,7 @@
 #'
 #' Determine first (weighted) isolates of all microorganisms of every patient per episode and (if needed) per specimen type. To determine patient episodes not necessarily based on microorganisms, use [is_new_episode()] that also supports grouping with the `dplyr` package.
 #' @inheritSection lifecycle Stable lifecycle
-#' @param x a [data.frame] containing isolates. Can be left blank when used inside `dplyr` verbs, such as [`filter()`][dplyr::filter()], [`mutate()`][dplyr::mutate()] and [`summarise()`][dplyr::summarise()].
+#' @param x a [data.frame] containing isolates. Can be omitted when used inside `dplyr` verbs, such as [`filter()`][dplyr::filter()], [`mutate()`][dplyr::mutate()] and [`summarise()`][dplyr::summarise()].
 #' @param col_date column name of the result date (or date that is was received on the lab), defaults to the first column with a date class
 #' @param col_patient_id column name of the unique IDs of the patients, defaults to the first column that starts with 'patient' or 'patid' (case insensitive)
 #' @param col_mo column name of the IDs of the microorganisms (see [as.mo()]), defaults to the first column of class [`mo`]. Values will be coerced using [as.mo()].
@@ -46,7 +46,7 @@
 #' @param include_unknown logical to determine whether 'unknown' microorganisms should be included too, i.e. microbial code `"UNKNOWN"`, which defaults to `FALSE`. For WHONET users, this means that all records with organism code `"con"` (*contamination*) will be excluded at default. Isolates with a microbial ID of `NA` will always be excluded as first isolate.
 #' @param ... arguments passed on to [first_isolate()] when using [filter_first_isolate()], or arguments passed on to [key_antibiotics()] when using [filter_first_weighted_isolate()]
 #' @details 
-#' These functions are context-aware when used inside `dplyr` verbs, such as `filter()`, `mutate()` and `summarise()`. This means that then the `x` argument can be left blank, please see *Examples*.
+#' These functions are context-aware when used inside `dplyr` verbs, such as `filter()`, `mutate()` and `summarise()`. This means that then the `x` argument can be omitted, please see *Examples*.
 #' 
 #' The [first_isolate()] function is a wrapper around the [is_new_episode()] function, but more efficient for data sets containing microorganism codes or names.
 #' 

R/key_antibiotics.R

@@ -27,7 +27,7 @@
 #'
 #' These function can be used to determine first isolates (see [first_isolate()]). Using key antibiotics to determine first isolates is more reliable than without key antibiotics. These selected isolates can then be called first *weighted* isolates.
 #' @inheritSection lifecycle Stable lifecycle
-#' @param x a [data.frame] with antibiotics columns, like `AMX` or `amox`. Can be left blank when used inside `dplyr` verbs, such as `filter()`, `mutate()` and `summarise()`.
+#' @param x a [data.frame] with antibiotics columns, like `AMX` or `amox`. Can be omitted when used inside `dplyr` verbs, such as `filter()`, `mutate()` and `summarise()`.
 #' @param y,z character vectors to compare
 #' @inheritParams first_isolate
 #' @param universal_1,universal_2,universal_3,universal_4,universal_5,universal_6 column names of **broad-spectrum** antibiotics, case-insensitive. See details for which antibiotics will be used at default (which are guessed with [guess_ab_col()]).
@@ -36,7 +36,7 @@
 #' @param warnings give a warning about missing antibiotic columns (they will be ignored)
 #' @param ... other arguments passed on to functions
 #' @details 
-#' The [key_antibiotics()] function is context-aware when used inside `dplyr` verbs, such as `filter()`, `mutate()` and `summarise()`. This means that then the `x` argument can be left blank, please see *Examples*.
+#' The [key_antibiotics()] function is context-aware when used inside `dplyr` verbs, such as `filter()`, `mutate()` and `summarise()`. This means that then the `x` argument can be omitted, please see *Examples*.
 #' 
 #' The function [key_antibiotics()] returns a character vector with 12 antibiotic results for every isolate. These isolates can then be compared using [key_antibiotics_equal()], to check if two isolates have generally the same antibiogram. Missing and invalid values are replaced with a dot (`"."`) by [key_antibiotics()] and ignored by [key_antibiotics_equal()].
 #' 

R/mdro.R

@@ -27,7 +27,7 @@
 #'
 #' Determine which isolates are multidrug-resistant organisms (MDRO) according to international and national guidelines.
 #' @inheritSection lifecycle Stable lifecycle
-#' @param x a [data.frame] with antibiotics columns, like `AMX` or `amox`. Can be left blank when used inside `dplyr` verbs, such as [`filter()`][dplyr::filter()], [`mutate()`][dplyr::mutate()] and [`summarise()`][dplyr::summarise()].
+#' @param x a [data.frame] with antibiotics columns, like `AMX` or `amox`. Can be omitted when used inside `dplyr` verbs, such as [`filter()`][dplyr::filter()], [`mutate()`][dplyr::mutate()] and [`summarise()`][dplyr::summarise()].
 #' @param guideline a specific guideline to follow. When left empty, the publication by Magiorakos *et al.* (2012, Clinical Microbiology and Infection) will be followed, please see *Details*.
 #' @inheritParams eucast_rules
 #' @param pct_required_classes minimal required percentage of antimicrobial classes that must be available per isolate, rounded down. For example, with the default guideline, 17 antimicrobial classes must be available for *S. aureus*. Setting this `pct_required_classes` argument to `0.5` (default) means that for every *S. aureus* isolate at least 8 different classes must be available. Any lower number of available classes will return `NA` for that isolate.
@@ -35,7 +35,7 @@
 #' @param verbose a logical to turn Verbose mode on and off (default is off). In Verbose mode, the function does not return the MDRO results, but instead returns a data set in logbook form with extensive info about which isolates would be MDRO-positive, or why they are not.
 #' @inheritSection eucast_rules Antibiotics
 #' @details 
-#' These functions are context-aware when used inside `dplyr` verbs, such as `filter()`, `mutate()` and `summarise()`. This means that then the `x` argument can be left blank, please see *Examples*.
+#' These functions are context-aware when used inside `dplyr` verbs, such as `filter()`, `mutate()` and `summarise()`. This means that then the `x` argument can be omitted, please see *Examples*.
 #' 
 #' For the `pct_required_classes` argument, values above 1 will be divided by 100. This is to support both fractions (`0.75` or `3/4`) and percentages (`75`).
 #' 

R/mo.R

@@ -438,7 +438,7 @@ exec_as.mo <- function(x,
 
     strip_whitespace <- function(x, dyslexia_mode) {
       # all whitespaces (tab, new lines, etc.) should be one space
-      # and spaces before and after should be left blank
+      # and spaces before and after should be omitted
       trimmed <- trimws2(x)
       # also, make sure the trailing and leading characters are a-z or 0-9
       # in case of non-regex

R/mo_property.R

@@ -27,7 +27,7 @@
 #'
 #' Use these functions to return a specific property of a microorganism based on the latest accepted taxonomy. All input values will be evaluated internally with [as.mo()], which makes it possible to use microbial abbreviations, codes and names as input. Please see *Examples*.
 #' @inheritSection lifecycle Stable lifecycle
-#' @param x any character (vector) that can be coerced to a valid microorganism code with [as.mo()]. Can be left blank for auto-guessing the column containing microorganism codes when used inside `dplyr` verbs, such as [`filter()`][dplyr::filter()], [`mutate()`][dplyr::mutate()] and [`summarise()`][dplyr::summarise()], please see *Examples*.
+#' @param x any character (vector) that can be coerced to a valid microorganism code with [as.mo()]. Can be omitted for auto-guessing the column containing microorganism codes when used inside `dplyr` verbs, such as [`filter()`][dplyr::filter()], [`mutate()`][dplyr::mutate()] and [`summarise()`][dplyr::summarise()], please see *Examples*.
 #' @param property one of the column names of the [microorganisms] data set: `r paste0('"``', colnames(microorganisms), '\``"', collapse = ", ")`, or must be `"shortname"`
 #' @param language language of the returned text, defaults to system language (see [get_locale()]) and can be overwritten by setting the option `AMR_locale`, e.g. `options(AMR_locale = "de")`, see [translate]. Also used to translate text like "no growth". Use `language = NULL` or `language = ""` to prevent translation.
 #' @param ... other arguments passed on to [as.mo()], such as 'allow_uncertain' and 'ignore_pattern'

R/mo_source.R

@@ -149,8 +149,8 @@ set_mo_source <- function(path, destination = getOption("AMR_mo_source", "~/mo_s
     
   } else if (path %like% "[.]xlsx?$") {
     # is Excel file (old or new)
-    stop_ifnot_installed("readxl")
-    df <- readxl::read_excel(path)
+    read_excel <- import_fn("read_excel", "readxl")
+    df <- read_excel(path)
     
   } else if (path %like% "[.]tsv$") {
     df <- utils::read.table(header = TRUE, sep = "\t", stringsAsFactors = FALSE)

docs/404.html

@@ -81,7 +81,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="https://msberends.github.io/AMR//index.html">AMR (for R)</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9051</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9049</span>
       </span>
     </div>
 

docs/LICENSE-text.html

@@ -81,7 +81,7 @@
       </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">1.4.0.9051</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9049</span>
       </span>
     </div>
 

docs/articles/index.html

@@ -81,7 +81,7 @@
       </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">1.4.0.9051</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9049</span>
       </span>
     </div>
 

docs/authors.html

@@ -81,7 +81,7 @@
       </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">1.4.0.9051</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9049</span>
       </span>
     </div>
 

docs/index.html

@@ -43,7 +43,7 @@
       </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">1.4.0.9051</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9049</span>
       </span>
     </div>
 

docs/news/index.html

@@ -81,7 +81,7 @@
       </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">1.4.0.9051</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9049</span>
       </span>
     </div>
 
@@ -236,9 +236,9 @@
       <small>Source: <a href='https://github.com/msberends/AMR/blob/master/NEWS.md'><code>NEWS.md</code></a></small>
     </div>
 
-    <div id="amr-1409051" class="section level1">
-<h1 class="page-header" data-toc-text="1.4.0.9051">
-<a href="#amr-1409051" class="anchor"></a>AMR 1.4.0.9051<small> Unreleased </small>
+    <div id="amr-1409049" class="section level1">
+<h1 class="page-header" data-toc-text="1.4.0.9049">
+<a href="#amr-1409049" class="anchor"></a>AMR 1.4.0.9049<small> Unreleased </small>
 </h1>
 <div id="last-updated-27-december-2020" class="section level2">
 <h2 class="hasAnchor">
@@ -306,7 +306,6 @@
 <li><p>Fix for printing class <mo> in tibbles when all values are <code>NA</code></mo></p></li>
 <li><p>Fix for <code><a href="../reference/mo_property.html">mo_shortname()</a></code> when the input contains <code>NA</code></p></li>
 <li><p>If <code><a href="../reference/as.mo.html">as.mo()</a></code> takes more than 30 seconds, some suggestions will be done to improve speed</p></li>
-<li><p>Lost dependency on the <code>tidyselect</code> package for using antibiotic selectors such as <code><a href="../reference/antibiotic_class_selectors.html">carbapenems()</a></code> and <code><a href="../reference/antibiotic_class_selectors.html">aminoglycosides()</a></code></p></li>
 </ul>
 </div>
 <div id="other" class="section level3">

docs/pkgdown.yml

@@ -12,7 +12,7 @@ articles:
   datasets: datasets.html
   resistance_predict: resistance_predict.html
   welcome_to_AMR: welcome_to_AMR.html
-last_built: 2020-12-27T22:17Z
+last_built: 2020-12-27T14:06Z
 urls:
   reference: https://msberends.github.io/AMR//reference
   article: https://msberends.github.io/AMR//articles

docs/reference/antibiotic_class_selectors.html

@@ -49,7 +49,7 @@
   <script src="../extra.js"></script>
 
 <meta property="og:title" content="Antibiotic class selectors — antibiotic_class_selectors" />
-<meta property="og:description" content="These functions help to select the columns of antibiotics that are of a specific antibiotic class, without the need to define the columns or antibiotic abbreviations." />
+<meta property="og:description" content="Use these selection helpers inside any function that allows Tidyverse selection helpers, such as select() and pivot_longer(). They help to select the columns of antibiotics that are of a specific antibiotic class, without the need to define the columns or antibiotic abbreviations." />
 <meta property="og:image" content="https://msberends.github.io/AMR/logo.png" />
 
 
@@ -82,7 +82,7 @@
       </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">1.4.0.9051</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9046</span>
       </span>
     </div>
 
@@ -239,7 +239,7 @@
     </div>
 
     <div class="ref-description">
-    <p>These functions help to select the columns of antibiotics that are of a specific antibiotic class, without the need to define the columns or antibiotic abbreviations.</p>
+    <p>Use these selection helpers inside any function that allows <a href='https://tidyselect.r-lib.org/reference/language.html'>Tidyverse selection helpers</a>, such as <code><a href='https://dplyr.tidyverse.org/reference/select.html'>select()</a></code> and <code><a href='https://tidyr.tidyverse.org/reference/pivot_longer.html'>pivot_longer()</a></code>. They help to select the columns of antibiotics that are of a specific antibiotic class, without the need to define the columns or antibiotic abbreviations.</p>
     </div>
 
     <pre class="usage"><span class='fu'>ab_class</span><span class='op'>(</span><span class='va'>ab_class</span><span class='op'>)</span>
@@ -282,6 +282,7 @@
     <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
 
     <p>All columns will be searched for known antibiotic names, abbreviations, brand names and codes (ATC, EARS-Net, WHO, etc.) in the <a href='antibiotics.html'>antibiotics</a> data set. This means that a selector like e.g. <code>aminoglycosides()</code> will pick up column names like 'gen', 'genta', 'J01GB03', 'tobra', 'Tobracin', etc.</p>
+<p><strong>N.B. These functions require the <code>tidyselect</code> package to be installed</strong>, that comes with the <code>dplyr</code> package. An error will be thrown if the <code>tidyselect</code> package is not installed, or if the functions are used outside a function that allows <a href='https://tidyselect.r-lib.org/reference/language.html'>Tidyverse selection helpers</a> such as <code><a href='https://dplyr.tidyverse.org/reference/select.html'>select()</a></code> and <code><a href='https://tidyr.tidyverse.org/reference/pivot_longer.html'>pivot_longer()</a></code>`.</p>
     <h2 class="hasAnchor" id="reference-data-publicly-available"><a class="anchor" href="#reference-data-publicly-available"></a>Reference data publicly available</h2>
 
     
@@ -297,15 +298,7 @@
     <div class='dont-index'><p><code><a href='filter_ab_class.html'>filter_ab_class()</a></code> for the <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code> equivalent.</p></div>
 
     <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><span class='co'># `example_isolates` is a dataset available in the AMR package.</span>
-<span class='co'># See ?example_isolates.</span>
-
-<span class='co'># this will select columns 'IPM' (imipenem) and 'MEM' (meropenem):</span>
-<span class='va'>example_isolates</span><span class='op'>[</span>, <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='fu'>carbapenems</span><span class='op'>(</span><span class='op'>)</span><span class='op'>)</span><span class='op'>]</span>
-<span class='co'># this will select columns 'mo', 'AMK', 'GEN', 'KAN' and 'TOB':</span>
-<span class='va'>example_isolates</span><span class='op'>[</span>, <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"mo"</span>, <span class='fu'>aminoglycosides</span><span class='op'>(</span><span class='op'>)</span><span class='op'>)</span><span class='op'>]</span>
-
-<span class='kw'>if</span> <span class='op'>(</span><span class='kw'><a href='https://rdrr.io/r/base/library.html'>require</a></span><span class='op'>(</span><span class='st'><a href='https://dplyr.tidyverse.org'>"dplyr"</a></span><span class='op'>)</span><span class='op'>)</span> <span class='op'>{</span>
+    <pre class="examples"><span class='kw'>if</span> <span class='op'>(</span><span class='kw'><a href='https://rdrr.io/r/base/library.html'>require</a></span><span class='op'>(</span><span class='st'><a href='https://dplyr.tidyverse.org'>"dplyr"</a></span><span class='op'>)</span><span class='op'>)</span> <span class='op'>{</span>
 
   <span class='co'># this will select columns 'IPM' (imipenem) and 'MEM' (meropenem):</span>
   <span class='va'>example_isolates</span> <span class='op'>%&gt;%</span> 
@@ -332,11 +325,6 @@
              J01CA01 <span class='op'>=</span> <span class='st'>"S"</span><span class='op'>)</span> <span class='op'>%&gt;%</span>   <span class='co'># ATC code of ampicillin</span>
     <span class='fu'><a href='https://dplyr.tidyverse.org/reference/select.html'>select</a></span><span class='op'>(</span><span class='fu'>penicillins</span><span class='op'>(</span><span class='op'>)</span><span class='op'>)</span>         <span class='co'># only the 'J01CA01' column will be selected</span>
 
-    
-  <span class='co'># with dplyr 1.0.0 and higher (that adds 'across()'), this is equal:</span>
-  <span class='co'># (though the row names on the first are more correct)</span>
-  <span class='va'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='filter_ab_class.html'>filter_carbapenems</a></span><span class='op'>(</span><span class='st'>"R"</span>, <span class='st'>"all"</span><span class='op'>)</span>
-  <span class='va'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span><span class='op'>(</span><span class='fu'><a href='https://dplyr.tidyverse.org/reference/across.html'>across</a></span><span class='op'>(</span><span class='fu'>carbapenems</span><span class='op'>(</span><span class='op'>)</span>, <span class='op'>~</span><span class='va'>.</span> <span class='op'>==</span> <span class='st'>"R"</span><span class='op'>)</span><span class='op'>)</span>
 <span class='op'>}</span>
 </pre>
   </div>

docs/reference/eucast_rules.html

@@ -83,7 +83,7 @@ To improve the interpretation of the antibiogram before EUCAST rules are applied
       </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">1.4.0.9050</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9048</span>
       </span>
     </div>
 

docs/reference/filter_ab_class.html

@@ -82,7 +82,7 @@
       </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">1.4.0.9051</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9046</span>
       </span>
     </div>
 
@@ -344,7 +344,6 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
     <span class='fu'>filter_fluoroquinolones</span><span class='op'>(</span><span class='st'>"R"</span>, <span class='st'>"all"</span><span class='op'>)</span>
   
   <span class='co'># with dplyr 1.0.0 and higher (that adds 'across()'), this is equal:</span>
-  <span class='co'># (though the row names on the first are more correct)</span>
   <span class='va'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'>filter_carbapenems</span><span class='op'>(</span><span class='st'>"R"</span>, <span class='st'>"all"</span><span class='op'>)</span>
   <span class='va'>example_isolates</span> <span class='op'>%&gt;%</span> <span class='fu'><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter</a></span><span class='op'>(</span><span class='fu'><a href='https://dplyr.tidyverse.org/reference/across.html'>across</a></span><span class='op'>(</span><span class='fu'><a href='antibiotic_class_selectors.html'>carbapenems</a></span><span class='op'>(</span><span class='op'>)</span>, <span class='op'>~</span><span class='va'>.</span> <span class='op'>==</span> <span class='st'>"R"</span><span class='op'>)</span><span class='op'>)</span>
 <span class='op'>}</span>

docs/reference/first_isolate.html

@@ -82,7 +82,7 @@
       </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">1.4.0.9050</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9046</span>
       </span>
     </div>
 
@@ -239,7 +239,7 @@
     </div>
 
     <div class="ref-description">
-    <p>Determine first (weighted) isolates of all microorganisms of every patient per episode and (if needed) per specimen type. To determine patient episodes not necessarily based on microorganisms, use <code><a href='get_episode.html'>is_new_episode()</a></code> that also supports grouping with the <code>dplyr</code> package.</p>
+    <p>Determine first (weighted) isolates of all microorganisms of every patient per episode and (if needed) per specimen type. To determine patient episodes not necessarily based on microorganisms, use <code><a href='is_new_episode.html'>is_new_episode()</a></code> that also supports grouping with the <code>dplyr</code> package.</p>
     </div>
 
     <pre class="usage"><span class='fu'>first_isolate</span><span class='op'>(</span>
@@ -285,7 +285,7 @@
     <colgroup><col class="name" /><col class="desc" /></colgroup>
     <tr>
       <th>x</th>
-      <td><p>a <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> containing isolates. Can be left blank when used inside <code>dplyr</code> verbs, such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>.</p></td>
+      <td><p>a <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> containing isolates. Can be omitted when used inside <code>dplyr</code> verbs, such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>.</p></td>
     </tr>
     <tr>
       <th>col_date</th>
@@ -366,8 +366,8 @@
     <p>A <code><a href='https://rdrr.io/r/base/logical.html'>logical</a></code> vector</p>
     <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
 
-    <p>These functions are context-aware when used inside <code>dplyr</code> verbs, such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>. This means that then the <code>x</code> argument can be left blank, please see <em>Examples</em>.</p>
-<p>The <code>first_isolate()</code> function is a wrapper around the <code><a href='get_episode.html'>is_new_episode()</a></code> function, but more efficient for data sets containing microorganism codes or names.</p>
+    <p>These functions are context-aware when used inside <code>dplyr</code> verbs, such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>. This means that then the <code>x</code> argument can be omitted, please see <em>Examples</em>.</p>
+<p>The <code>first_isolate()</code> function is a wrapper around the <code><a href='is_new_episode.html'>is_new_episode()</a></code> function, but more efficient for data sets containing microorganism codes or names.</p>
 <p>All isolates with a microbial ID of <code>NA</code> will be excluded as first isolate.</p><h3 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Why this is so important</h3>
 
 

docs/reference/get_episode.html

@@ -82,7 +82,7 @@
       </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">1.4.0.9050</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9048</span>
       </span>
     </div>
 

docs/reference/index.html

@@ -81,7 +81,7 @@
       </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">1.4.0.9051</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9049</span>
       </span>
     </div>
 

docs/reference/key_antibiotics.html

@@ -82,7 +82,7 @@
       </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">1.4.0.9050</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9046</span>
       </span>
     </div>
 
@@ -281,7 +281,7 @@
     <colgroup><col class="name" /><col class="desc" /></colgroup>
     <tr>
       <th>x</th>
-      <td><p>a <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> with antibiotics columns, like <code>AMX</code> or <code>amox</code>. Can be left blank when used inside <code>dplyr</code> verbs, such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>.</p></td>
+      <td><p>a <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> with antibiotics columns, like <code>AMX</code> or <code>amox</code>. Can be omitted when used inside <code>dplyr</code> verbs, such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>.</p></td>
     </tr>
     <tr>
       <th>col_mo</th>
@@ -331,7 +331,7 @@
 
     <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
 
-    <p>The <code>key_antibiotics()</code> function is context-aware when used inside <code>dplyr</code> verbs, such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>. This means that then the <code>x</code> argument can be left blank, please see <em>Examples</em>.</p>
+    <p>The <code>key_antibiotics()</code> function is context-aware when used inside <code>dplyr</code> verbs, such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>. This means that then the <code>x</code> argument can be omitted, please see <em>Examples</em>.</p>
 <p>The function <code>key_antibiotics()</code> returns a character vector with 12 antibiotic results for every isolate. These isolates can then be compared using <code>key_antibiotics_equal()</code>, to check if two isolates have generally the same antibiogram. Missing and invalid values are replaced with a dot (<code>"."</code>) by <code>key_antibiotics()</code> and ignored by <code>key_antibiotics_equal()</code>.</p>
 <p>The <code><a href='first_isolate.html'>first_isolate()</a></code> function only uses this function on the same microbial species from the same patient. Using this, e.g. an MRSA will be included after a susceptible <em>S. aureus</em> (MSSA) is found within the same patient episode. Without key antibiotic comparison it would not. See <code><a href='first_isolate.html'>first_isolate()</a></code> for more info.</p>
 <p>At default, the antibiotics that are used for <strong>Gram-positive bacteria</strong> are:</p><ul>

docs/reference/mdro.html

@@ -82,7 +82,7 @@
       </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">1.4.0.9050</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9046</span>
       </span>
     </div>
 
@@ -268,7 +268,7 @@
     <colgroup><col class="name" /><col class="desc" /></colgroup>
     <tr>
       <th>x</th>
-      <td><p>a <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> with antibiotics columns, like <code>AMX</code> or <code>amox</code>. Can be left blank when used inside <code>dplyr</code> verbs, such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>.</p></td>
+      <td><p>a <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> with antibiotics columns, like <code>AMX</code> or <code>amox</code>. Can be omitted when used inside <code>dplyr</code> verbs, such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>.</p></td>
     </tr>
     <tr>
       <th>guideline</th>
@@ -319,7 +319,7 @@ Ordered <a href='https://rdrr.io/r/base/factor.html'>factor</a> with levels <cod
 
     <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
 
-    <p>These functions are context-aware when used inside <code>dplyr</code> verbs, such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>. This means that then the <code>x</code> argument can be left blank, please see <em>Examples</em>.</p>
+    <p>These functions are context-aware when used inside <code>dplyr</code> verbs, such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>. This means that then the <code>x</code> argument can be omitted, please see <em>Examples</em>.</p>
 <p>For the <code>pct_required_classes</code> argument, values above 1 will be divided by 100. This is to support both fractions (<code>0.75</code> or <code>3/4</code>) and percentages (<code>75</code>).</p>
 <p>Currently supported guidelines are (case-insensitive):</p><ul>
 <li><p><code>guideline = "CMI2012"</code> (default)</p>

docs/reference/mo_property.html

@@ -82,7 +82,7 @@
       </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">1.4.0.9050</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9046</span>
       </span>
     </div>
 
@@ -301,7 +301,7 @@
     <colgroup><col class="name" /><col class="desc" /></colgroup>
     <tr>
       <th>x</th>
-      <td><p>any character (vector) that can be coerced to a valid microorganism code with <code><a href='as.mo.html'>as.mo()</a></code>. Can be left blank for auto-guessing the column containing microorganism codes when used inside <code>dplyr</code> verbs, such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>, please see <em>Examples</em>.</p></td>
+      <td><p>any character (vector) that can be coerced to a valid microorganism code with <code><a href='as.mo.html'>as.mo()</a></code>. Can be omitted for auto-guessing the column containing microorganism codes when used inside <code>dplyr</code> verbs, such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>, please see <em>Examples</em>.</p></td>
     </tr>
     <tr>
       <th>language</th>

docs/reference/resistance_predict.html

@@ -82,7 +82,7 @@
       </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">1.4.0.9050</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9046</span>
       </span>
     </div>
 
@@ -287,7 +287,7 @@
     <colgroup><col class="name" /><col class="desc" /></colgroup>
     <tr>
       <th>x</th>
-      <td><p>a <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> containing isolates. Can be left blank when used inside <code>dplyr</code> verbs, such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>.</p></td>
+      <td><p>a <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> containing isolates. Can be omitted when used inside <code>dplyr</code> verbs, such as <code><a href='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code>, <code><a href='https://dplyr.tidyverse.org/reference/mutate.html'>mutate()</a></code> and <code><a href='https://dplyr.tidyverse.org/reference/summarise.html'>summarise()</a></code>.</p></td>
     </tr>
     <tr>
       <th>col_ab</th>

docs/survey.html

@@ -81,7 +81,7 @@
       </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">1.4.0.9051</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9049</span>
       </span>
     </div>
 

man/antibiotic_class_selectors.Rd

@@ -50,10 +50,12 @@ tetracyclines()
 \item{ab_class}{an antimicrobial class, like \code{"carbapenems"}. The columns \code{group}, \code{atc_group1} and \code{atc_group2} of the \link{antibiotics} data set will be searched (case-insensitive) for this value.}
 }
 \description{
-These functions help to select the columns of antibiotics that are of a specific antibiotic class, without the need to define the columns or antibiotic abbreviations.
+Use these selection helpers inside any function that allows \href{https://tidyselect.r-lib.org/reference/language.html}{Tidyverse selection helpers}, such as \code{\link[dplyr:select]{select()}} and \code{\link[tidyr:pivot_longer]{pivot_longer()}}. They help to select the columns of antibiotics that are of a specific antibiotic class, without the need to define the columns or antibiotic abbreviations.
 }
 \details{
 All columns will be searched for known antibiotic names, abbreviations, brand names and codes (ATC, EARS-Net, WHO, etc.) in the \link{antibiotics} data set. This means that a selector like e.g. \code{\link[=aminoglycosides]{aminoglycosides()}} will pick up column names like 'gen', 'genta', 'J01GB03', 'tobra', 'Tobracin', etc.
+
+\strong{N.B. These functions require the \code{tidyselect} package to be installed}, that comes with the \code{dplyr} package. An error will be thrown if the \code{tidyselect} package is not installed, or if the functions are used outside a function that allows \href{https://tidyselect.r-lib.org/reference/language.html}{Tidyverse selection helpers} such as \code{\link[dplyr:select]{select()}} and \code{\link[tidyr:pivot_longer]{pivot_longer()}}`.
 }
 \section{Reference data publicly available}{
 
@@ -66,14 +68,6 @@ On our website \url{https://msberends.github.io/AMR/} you can find \href{https:/
 }
 
 \examples{
-# `example_isolates` is a dataset available in the AMR package.
-# See ?example_isolates.
-
-# this will select columns 'IPM' (imipenem) and 'MEM' (meropenem):
-example_isolates[, c(carbapenems())]
-# this will select columns 'mo', 'AMK', 'GEN', 'KAN' and 'TOB':
-example_isolates[, c("mo", aminoglycosides())]
-
 if (require("dplyr")) {
 
   # this will select columns 'IPM' (imipenem) and 'MEM' (meropenem):
@@ -101,11 +95,6 @@ if (require("dplyr")) {
              J01CA01 = "S") \%>\%   # ATC code of ampicillin
     select(penicillins())         # only the 'J01CA01' column will be selected
 
-    
-  # with dplyr 1.0.0 and higher (that adds 'across()'), this is equal:
-  # (though the row names on the first are more correct)
-  example_isolates \%>\% filter_carbapenems("R", "all")
-  example_isolates \%>\% filter(across(carbapenems(), ~. == "R"))
 }
 }
 \seealso{

man/filter_ab_class.Rd

@@ -105,7 +105,6 @@ if (require("dplyr")) {
     filter_fluoroquinolones("R", "all")
   
   # with dplyr 1.0.0 and higher (that adds 'across()'), this is equal:
-  # (though the row names on the first are more correct)
   example_isolates \%>\% filter_carbapenems("R", "all")
   example_isolates \%>\% filter(across(carbapenems(), ~. == "R"))
 }

man/first_isolate.Rd

@@ -50,7 +50,7 @@ filter_first_weighted_isolate(
 )
 }
 \arguments{
-\item{x}{a \link{data.frame} containing isolates. Can be left blank when used inside \code{dplyr} verbs, such as \code{\link[dplyr:filter]{filter()}}, \code{\link[dplyr:mutate]{mutate()}} and \code{\link[dplyr:summarise]{summarise()}}.}
+\item{x}{a \link{data.frame} containing isolates. Can be omitted when used inside \code{dplyr} verbs, such as \code{\link[dplyr:filter]{filter()}}, \code{\link[dplyr:mutate]{mutate()}} and \code{\link[dplyr:summarise]{summarise()}}.}
 
 \item{col_date}{column name of the result date (or date that is was received on the lab), defaults to the first column with a date class}
 
@@ -93,7 +93,7 @@ A \code{\link{logical}} vector
 Determine first (weighted) isolates of all microorganisms of every patient per episode and (if needed) per specimen type. To determine patient episodes not necessarily based on microorganisms, use \code{\link[=is_new_episode]{is_new_episode()}} that also supports grouping with the \code{dplyr} package.
 }
 \details{
-These functions are context-aware when used inside \code{dplyr} verbs, such as \code{filter()}, \code{mutate()} and \code{summarise()}. This means that then the \code{x} argument can be left blank, please see \emph{Examples}.
+These functions are context-aware when used inside \code{dplyr} verbs, such as \code{filter()}, \code{mutate()} and \code{summarise()}. This means that then the \code{x} argument can be omitted, please see \emph{Examples}.
 
 The \code{\link[=first_isolate]{first_isolate()}} function is a wrapper around the \code{\link[=is_new_episode]{is_new_episode()}} function, but more efficient for data sets containing microorganism codes or names.
 

man/key_antibiotics.Rd

@@ -40,7 +40,7 @@ key_antibiotics_equal(
 )
 }
 \arguments{
-\item{x}{a \link{data.frame} with antibiotics columns, like \code{AMX} or \code{amox}. Can be left blank when used inside \code{dplyr} verbs, such as \code{filter()}, \code{mutate()} and \code{summarise()}.}
+\item{x}{a \link{data.frame} with antibiotics columns, like \code{AMX} or \code{amox}. Can be omitted when used inside \code{dplyr} verbs, such as \code{filter()}, \code{mutate()} and \code{summarise()}.}
 
 \item{col_mo}{column name of the IDs of the microorganisms (see \code{\link[=as.mo]{as.mo()}}), defaults to the first column of class \code{\link{mo}}. Values will be coerced using \code{\link[=as.mo]{as.mo()}}.}
 
@@ -68,7 +68,7 @@ key_antibiotics_equal(
 These function can be used to determine first isolates (see \code{\link[=first_isolate]{first_isolate()}}). Using key antibiotics to determine first isolates is more reliable than without key antibiotics. These selected isolates can then be called first \emph{weighted} isolates.
 }
 \details{
-The \code{\link[=key_antibiotics]{key_antibiotics()}} function is context-aware when used inside \code{dplyr} verbs, such as \code{filter()}, \code{mutate()} and \code{summarise()}. This means that then the \code{x} argument can be left blank, please see \emph{Examples}.
+The \code{\link[=key_antibiotics]{key_antibiotics()}} function is context-aware when used inside \code{dplyr} verbs, such as \code{filter()}, \code{mutate()} and \code{summarise()}. This means that then the \code{x} argument can be omitted, please see \emph{Examples}.
 
 The function \code{\link[=key_antibiotics]{key_antibiotics()}} returns a character vector with 12 antibiotic results for every isolate. These isolates can then be compared using \code{\link[=key_antibiotics_equal]{key_antibiotics_equal()}}, to check if two isolates have generally the same antibiogram. Missing and invalid values are replaced with a dot (\code{"."}) by \code{\link[=key_antibiotics]{key_antibiotics()}} and ignored by \code{\link[=key_antibiotics_equal]{key_antibiotics_equal()}}.
 

man/mdro.Rd

@@ -40,7 +40,7 @@ mdr_cmi2012(x, guideline = "CMI2012", ...)
 eucast_exceptional_phenotypes(x, guideline = "EUCAST", ...)
 }
 \arguments{
-\item{x}{a \link{data.frame} with antibiotics columns, like \code{AMX} or \code{amox}. Can be left blank when used inside \code{dplyr} verbs, such as \code{\link[dplyr:filter]{filter()}}, \code{\link[dplyr:mutate]{mutate()}} and \code{\link[dplyr:summarise]{summarise()}}.}
+\item{x}{a \link{data.frame} with antibiotics columns, like \code{AMX} or \code{amox}. Can be omitted when used inside \code{dplyr} verbs, such as \code{\link[dplyr:filter]{filter()}}, \code{\link[dplyr:mutate]{mutate()}} and \code{\link[dplyr:summarise]{summarise()}}.}
 
 \item{guideline}{a specific guideline to follow. When left empty, the publication by Magiorakos \emph{et al.} (2012, Clinical Microbiology and Infection) will be followed, please see \emph{Details}.}
 
@@ -72,7 +72,7 @@ Ordered \link{factor} with levels \code{Negative} < \verb{Positive, unconfirmed}
 Determine which isolates are multidrug-resistant organisms (MDRO) according to international and national guidelines.
 }
 \details{
-These functions are context-aware when used inside \code{dplyr} verbs, such as \code{filter()}, \code{mutate()} and \code{summarise()}. This means that then the \code{x} argument can be left blank, please see \emph{Examples}.
+These functions are context-aware when used inside \code{dplyr} verbs, such as \code{filter()}, \code{mutate()} and \code{summarise()}. This means that then the \code{x} argument can be omitted, please see \emph{Examples}.
 
 For the \code{pct_required_classes} argument, values above 1 will be divided by 100. This is to support both fractions (\code{0.75} or \code{3/4}) and percentages (\code{75}).
 

man/mo_property.Rd

@@ -85,7 +85,7 @@ mo_url(x, open = FALSE, language = get_locale(), ...)
 mo_property(x, property = "fullname", language = get_locale(), ...)
 }
 \arguments{
-\item{x}{any character (vector) that can be coerced to a valid microorganism code with \code{\link[=as.mo]{as.mo()}}. Can be left blank for auto-guessing the column containing microorganism codes when used inside \code{dplyr} verbs, such as \code{\link[dplyr:filter]{filter()}}, \code{\link[dplyr:mutate]{mutate()}} and \code{\link[dplyr:summarise]{summarise()}}, please see \emph{Examples}.}
+\item{x}{any character (vector) that can be coerced to a valid microorganism code with \code{\link[=as.mo]{as.mo()}}. Can be omitted for auto-guessing the column containing microorganism codes when used inside \code{dplyr} verbs, such as \code{\link[dplyr:filter]{filter()}}, \code{\link[dplyr:mutate]{mutate()}} and \code{\link[dplyr:summarise]{summarise()}}, please see \emph{Examples}.}
 
 \item{language}{language of the returned text, defaults to system language (see \code{\link[=get_locale]{get_locale()}}) and can be overwritten by setting the option \code{AMR_locale}, e.g. \code{options(AMR_locale = "de")}, see \link{translate}. Also used to translate text like "no growth". Use \code{language = NULL} or \code{language = ""} to prevent translation.}
 

man/resistance_predict.Rd

@@ -47,7 +47,7 @@ ggplot_rsi_predict(
 )
 }
 \arguments{
-\item{x}{a \link{data.frame} containing isolates. Can be left blank when used inside \code{dplyr} verbs, such as \code{\link[dplyr:filter]{filter()}}, \code{\link[dplyr:mutate]{mutate()}} and \code{\link[dplyr:summarise]{summarise()}}.}
+\item{x}{a \link{data.frame} containing isolates. Can be omitted when used inside \code{dplyr} verbs, such as \code{\link[dplyr:filter]{filter()}}, \code{\link[dplyr:mutate]{mutate()}} and \code{\link[dplyr:summarise]{summarise()}}.}
 
 \item{col_ab}{column name of \code{x} containing antimicrobial interpretations (\code{"R"}, \code{"I"} and \code{"S"})}
 

tests/testthat/test-zzz.R

@@ -51,6 +51,7 @@ test_that("imports work", {
     "insertText" = "rstudioapi",
     "left_join" = "dplyr",
     "new_pillar_shaft_simple" = "pillar",
+    "peek_vars" = "tidyselect",
     "read_excel" = "readxl",
     "read_html" = "xml2",
     "right_join" = "dplyr",