<ahref="#with-amr-for-r-theres-always-a-knowledgeable-microbiologist-by-your-side"class="anchor"></a>With <code>AMR</code> (for R), there’s always a knowledgeable microbiologist by your side!</h5>
<p>With only having defined a row filter on Gram-negative bacteria with intrinsic resistance to cefotaxime (<code><ahref="reference/mo_property.html">mo_is_gram_negative()</a></code> and <code><ahref="reference/mo_property.html">mo_is_intrinsic_resistant()</a></code>) and a column selection on two antibiotic groups (<code><ahref="reference/antibiotic_class_selectors.html">aminoglycosides()</a></code> and <code><ahref="reference/antibiotic_class_selectors.html">carbapenems()</a></code>), the reference data about <ahref="./reference/microorganisms.html">all microorganisms</a> and <ahref="./reference/antibiotics.html">all antibiotics</a> in the <code>AMR</code> package make sure you get what you meant:</p>
<tableclass="table">
<thead><trclass="header">
@ -298,32 +298,6 @@ Since you are one of our users, we would like to know how you use the package an
<spanid="cb2-4"><ahref="#cb2-4"aria-hidden="true"tabindex="-1"></a><spanclass="er"><</span>span<spanclass="sc">></span>Download our data sets<spanclass="sc"><</span><spanclass="er">/</span>span<spanclass="sc">></span></span>
<spanid="cb2-10"><ahref="#cb2-10"aria-hidden="true"tabindex="-1"></a><spanclass="er"><</span>span<spanclass="sc">></span>Start learning AMR analysis<spanclass="sc"><</span><spanclass="er">/</span>span<spanclass="sc">></span></span>
<spanid="cb2-16"><ahref="#cb2-16"aria-hidden="true"tabindex="-1"></a><spanclass="er"><</span>span<spanclass="sc">></span>Interpret MIC<spanclass="sc">/</span>disk values to R<spanclass="sc">/</span>SI<spanclass="sc"><</span><spanclass="er">/</span>span<spanclass="sc">></span></span>
<p>This package is available <ahref="https://cran.r-project.org/package=AMR">here on the official R network (CRAN)</a>, which has a peer-reviewed submission process. Install this package in R from CRAN by using the command:</p>
<p>It will be downloaded and installed automatically. For RStudio, click on the menu <em>Tools</em>><em>Install Packages…</em> and then type in “AMR” and press <kbd>Install</kbd>.</p>
<p><strong>Note:</strong> Not all functions on this website may be available in this latest release. To use all functions and data sets mentioned on this website, install the latest development version.</p>
</div>
@ -374,9 +348,9 @@ Since you are one of our users, we would like to know how you use the package an
<h4class="hasAnchor">
<ahref="#latest-development-version"class="anchor"></a>Latest development version</h4>
<p>The latest and unpublished development version can be installed from GitHub using:</p>
<ahref="#last-updated-13-december-2020"class="anchor"></a><small>Last updated: 13 December 2020</small>
<ahref="#last-updated-16-december-2020"class="anchor"></a><small>Last updated: 16 December 2020</small>
</h2>
<divid="new"class="section level3">
<h3class="hasAnchor">
@ -250,11 +250,12 @@
<ul>
<li>
<p>Function <code><ahref="../reference/is_new_episode.html">is_new_episode()</a></code> to determine patient episodes which are not necessarily based on microorganisms. It also supports grouped variables with e.g.<code><ahref="https://dplyr.tidyverse.org/reference/mutate.html">mutate()</a></code>, <code><ahref="https://dplyr.tidyverse.org/reference/filter.html">filter()</a></code> and <code><ahref="https://dplyr.tidyverse.org/reference/summarise.html">summarise()</a></code> of the <code>dplyr</code> package:</p>
<li><p>Functions <code><ahref="../reference/mo_property.html">mo_is_gram_negative()</a></code> and <code><ahref="../reference/mo_property.html">mo_is_gram_positive()</a></code> as wrappers around <code><ahref="../reference/mo_property.html">mo_gramstain()</a></code>. They always return <code>TRUE</code> or <code>FALSE</code> (except when the input is <code>NA</code> or the MO code is <code>UNKNOWN</code>), thus always return <code>FALSE</code> for species outside the taxonomic kingdom of Bacteria.</p></li>
<li><p>Function <code><ahref="../reference/mo_property.html">mo_is_intrinsic_resistant()</a></code> to test for intrinsic resistance, based on <ahref="https://www.eucast.org/expert_rules_and_intrinsic_resistance/">EUCAST Intrinsic Resistance and Unusual Phenotypes v3.2</a> from 2020.</p></li>
@ -268,14 +269,15 @@
<li><p>Reference data used for <code><ahref="../reference/as.rsi.html">as.rsi()</a></code> can now be set by the user, using the <code>reference_data</code> parameter. This allows for using own interpretation guidelines. The user-set data must have the same structure as <code>rsi_translation</code>.</p></li>
<li>
<p>Some functions are now context-aware when used inside <code>dplyr</code> verbs, such as <code><ahref="https://dplyr.tidyverse.org/reference/filter.html">filter()</a></code>, <code><ahref="https://dplyr.tidyverse.org/reference/mutate.html">mutate()</a></code> and <code><ahref="https://dplyr.tidyverse.org/reference/summarise.html">summarise()</a></code>. This means that then the data parameter does not need to be set anymore. This is the case for the new functions <code><ahref="../reference/mo_property.html">mo_is_gram_negative()</a></code>, <code><ahref="../reference/mo_property.html">mo_is_gram_positive()</a></code>, <code><ahref="../reference/mo_property.html">mo_is_intrinsic_resistant()</a></code> and for the existing functions <code><ahref="../reference/first_isolate.html">first_isolate()</a></code>, <code><ahref="../reference/key_antibiotics.html">key_antibiotics()</a></code>, <code><ahref="../reference/mdro.html">mdro()</a></code>, <code><ahref="../reference/mdro.html">brmo()</a></code>, <code><ahref="../reference/mdro.html">mrgn()</a></code>, <code><ahref="../reference/mdro.html">mdr_tb()</a></code>, <code><ahref="../reference/mdro.html">mdr_cmi2012()</a></code>, <code><ahref="../reference/mdro.html">eucast_exceptional_phenotypes()</a></code>. This was already the case for antibiotic selection functions (such as using <code><ahref="../reference/antibiotic_class_selectors.html">penicillins()</a></code> in <code><ahref="https://dplyr.tidyverse.org/reference/select.html">dplyr::select()</a></code>).</p>
<li><p>For all function parameters in the code, it is now defined what the exact type of user input should be (inspired by the <ahref="https://github.com/moodymudskipper/typed"><code>typed</code></a> package). If the user input for a certain function does not meet the requirements for a specific parameter (such as the class or length), an informative error will be thrown. This makes the package more robust and the use of it more reproducible and reliable. In total, more than 400 arguments were defined.</p></li>
<li><p>Deprecated function <code><ahref="../reference/AMR-deprecated.html">p_symbol()</a></code> that not really fits the scope of this package. It will be removed in a future version. See <ahref="https://github.com/msberends/AMR/blob/v1.4.0/R/p_symbol.R">here</a> for the source code to preserve it.</p></li>
@ -291,6 +293,7 @@
<li><p>Better tibble printing for MIC values</p></li>
<li><p>Fix for plotting MIC values with <code><ahref="../reference/plot.html">plot()</a></code></p></li>
<li><p>Added <code><ahref="../reference/plot.html">plot()</a></code> generic to class <code><disk></code></p></li>
<li><p>LA-MRSA and CA-MRSA are now recognised as an abbreviation for <em>Staphylococcus aureus</em>, meaning that e.g.<code><ahref="../reference/mo_property.html">mo_genus("LA-MRSA")</a></code> will return <code>"Staphylococcus"</code> and <code><ahref="../reference/mo_property.html">mo_is_gram_positive("LA-MRSA")</a></code> will return <code>TRUE</code>.</p></li>
</ul>
</div>
<divid="other"class="section level3">
@ -317,13 +320,14 @@
<li>
<p>Data set <code>intrinsic_resistant</code>. This data set contains all bug-drug combinations where the ‘bug’ is intrinsic resistant to the ‘drug’ according to the latest EUCAST insights. It contains just two columns: <code>microorganism</code> and <code>antibiotic</code>.</p>
<p>Curious about which enterococci are actually intrinsic resistant to vancomycin?</p>
<li><p>Support for skimming classes <code><rsi></code>, <code><mic></code>, <code><disk></code> and <code><mo></code> with the <code>skimr</code> package</p></li>
@ -339,14 +343,15 @@
<ul>
<li>
<p>Support for using <code>dplyr</code>’s <code><ahref="https://dplyr.tidyverse.org/reference/across.html">across()</a></code> to interpret MIC values or disk zone diameters, which also automatically determines the column with microorganism names or codes.</p>
<li><p>Cleaning columns in a data.frame now allows you to specify those columns with tidy selection, e.g.<code><ahref="../reference/as.rsi.html">as.rsi(df, col1:col9)</a></code></p></li>
<li><p>Big speed improvement for interpreting MIC values and disk zone diameters. When interpreting 5,000 MIC values of two antibiotics (10,000 values in total), our benchmarks showed a total run time going from 80.7-85.1 seconds to 1.8-2.0 seconds.</p></li>
@ -356,10 +361,11 @@
</li>
<li>
<p>Added intelligent data cleaning to <code><ahref="../reference/as.disk.html">as.disk()</a></code>, so numbers can also be extracted from text and decimal numbers will always be rounded up:</p>
<p>Improvements for <code><ahref="../reference/as.mo.html">as.mo()</a></code>:</p>
@ -416,13 +422,14 @@
<li><p>Function <code><ahref="../reference/ab_from_text.html">ab_from_text()</a></code> to retrieve antimicrobial drug names, doses and forms of administration from clinical texts in e.g.health care records, which also corrects for misspelling since it uses <code><ahref="../reference/as.ab.html">as.ab()</a></code> internally</p></li>
<li>
<p><ahref="https://tidyselect.r-lib.org/reference/language.html">Tidyverse selection helpers</a> for antibiotic classes, that help to select the columns of antibiotics that are of a specific antibiotic class, without the need to define the columns or antibiotic abbreviations. They can be used in any function that allows selection helpers, like <code><ahref="https://dplyr.tidyverse.org/reference/select.html">dplyr::select()</a></code> and <code><ahref="https://tidyr.tidyverse.org/reference/pivot_longer.html">tidyr::pivot_longer()</a></code>:</p>
<li><p>Added <code><ahref="../reference/mo_property.html">mo_domain()</a></code> as an alias to <code><ahref="../reference/mo_property.html">mo_kingdom()</a></code></p></li>
<li><p>Added function <code><ahref="../reference/filter_ab_class.html">filter_penicillins()</a></code> to filter isolates on a specific result in any column with a name in the antimicrobial ‘penicillins’ class (more specific: ATC subgroup <em>Beta-lactam antibacterials, penicillins</em>)</p></li>
@ -604,12 +611,13 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<li><p>Fixed important floating point error for some MIC comparisons in EUCAST 2020 guideline</p></li>
<li>
<p>Interpretation from MIC values (and disk zones) to R/SI can now be used with <code><ahref="https://dplyr.tidyverse.org/reference/mutate_all.html">mutate_at()</a></code> of the <code>dplyr</code> package:</p>
<spanclass="fu"><ahref="https://dplyr.tidyverse.org/reference/mutate_all.html">mutate_at</a></span><spanclass="op">(</span><spanclass="fu"><ahref="https://dplyr.tidyverse.org/reference/vars.html">vars</a></span><spanclass="op">(</span><spanclass="va">antibiotic1</span><spanclass="op">:</span><spanclass="va">antibiotic25</span><spanclass="op">)</span>, <spanclass="va">as.rsi</span>, mo <spanclass="op">=</span><spanclass="st">"E. coli"</span><spanclass="op">)</span>
<spanclass="fu"><ahref="https://dplyr.tidyverse.org/reference/mutate_all.html">mutate_at</a></span><spanclass="op">(</span><spanclass="fu"><ahref="https://dplyr.tidyverse.org/reference/vars.html">vars</a></span><spanclass="op">(</span><spanclass="va">antibiotic1</span><spanclass="op">:</span><spanclass="va">antibiotic25</span><spanclass="op">)</span>, <spanclass="va">as.rsi</span>, mo <spanclass="op">=</span><spanclass="va">.</span><spanclass="op">$</span><spanclass="va">mybacteria</span><spanclass="op">)</span></pre></div>
<spanclass="fu"><ahref="https://dplyr.tidyverse.org/reference/mutate_all.html">mutate_at</a></span><spanclass="op">(</span><spanclass="fu"><ahref="https://dplyr.tidyverse.org/reference/vars.html">vars</a></span><spanclass="op">(</span><spanclass="va">antibiotic1</span><spanclass="op">:</span><spanclass="va">antibiotic25</span><spanclass="op">)</span>, <spanclass="va">as.rsi</span>, mo <spanclass="op">=</span><spanclass="va">.</span><spanclass="op">$</span><spanclass="va">mybacteria</span><spanclass="op">)</span></code></pre></div>
</li>
<li><p>Added antibiotic abbreviations for a laboratory manufacturer (GLIMS) for cefuroxime, cefotaxime, ceftazidime, cefepime, cefoxitin and trimethoprim/sulfamethoxazole</p></li>
<li><p>Added <code>uti</code> (as abbreviation of urinary tract infections) as parameter to <code><ahref="../reference/as.rsi.html">as.rsi()</a></code>, so interpretation of MIC values and disk zones can be made dependent on isolates specifically from UTIs</p></li>
@ -632,23 +640,25 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<ul>
<li>
<p>Support for LOINC codes in the <code>antibiotics</code> data set. Use <code><ahref="../reference/ab_property.html">ab_loinc()</a></code> to retrieve LOINC codes, or use a LOINC code for input in any <code>ab_*</code> function:</p>
<p>Support for SNOMED CT codes in the <code>microorganisms</code> data set. Use <code><ahref="../reference/mo_property.html">mo_snomed()</a></code> to retrieve SNOMED codes, or use a SNOMED code for input in any <code>mo_*</code> function:</p>
@ -722,13 +734,14 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<ul>
<li>
<p>Functions <code><ahref="../reference/proportion.html">susceptibility()</a></code> and <code><ahref="../reference/proportion.html">resistance()</a></code> as aliases of <code><ahref="../reference/proportion.html">proportion_SI()</a></code> and <code><ahref="../reference/proportion.html">proportion_R()</a></code>, respectively. These functions were added to make it more clear that “I” should be considered susceptible and not resistant.</p>
<p>Support for a new MDRO guideline: Magiorakos AP, Srinivasan A <em>et al.</em> “Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert proposal for interim standard definitions for acquired resistance.” Clinical Microbiology and Infection (2012).</p>
@ -750,7 +763,8 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<li><p>More intelligent way of coping with some consonants like “l” and “r”</p></li>
<li>
<p>Added a score (a certainty percentage) to <code><ahref="../reference/as.mo.html">mo_uncertainties()</a></code>, that is calculated using the <ahref="https://en.wikipedia.org/wiki/Levenshtein_distance">Levenshtein distance</a>:</p>
@ -808,13 +822,15 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<ul>
<li>
<p>Determination of first isolates now <strong>excludes</strong> all ‘unknown’ microorganisms at default, i.e.microbial code <code>"UNKNOWN"</code>. They can be included with the new parameter <code>include_unknown</code>:</p>
<p>For WHONET users, this means that all records/isolates with organism code <code>"con"</code> (<em>contamination</em>) will be excluded at default, since <code>as.mo("con") = "UNKNOWN"</code>. The function always shows a note with the number of ‘unknown’ microorganisms that were included or excluded.</p>
</li>
<li>
<p>For code consistency, classes <code>ab</code> and <code>mo</code> will now be preserved in any subsetting or assignment. For the sake of data integrity, this means that invalid assignments will now result in <code>NA</code>:</p>
<spanclass="co">#> invalid microorganism code, NA generated</span></pre></div>
<spanclass="co">#> invalid microorganism code, NA generated</span></code></pre></div>
<p>This is important, because a value like <code>"testvalue"</code> could never be understood by e.g.<code><ahref="../reference/mo_property.html">mo_name()</a></code>, although the class would suggest a valid microbial code.</p>
</li>
<li><p>Function <code>freq()</code> has moved to a new package, <ahref="https://github.com/msberends/clean"><code>clean</code></a> (<ahref="https://cran.r-project.org/package=clean">CRAN link</a>), since creating frequency tables actually does not fit the scope of this package. The <code>freq()</code> function still works, since it is re-exported from the <code>clean</code> package (which will be installed automatically upon updating this <code>AMR</code> package).</p></li>
@ -838,7 +854,8 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<ul>
<li>
<p>Function <code><ahref="../reference/bug_drug_combinations.html">bug_drug_combinations()</a></code> to quickly get a <code>data.frame</code> with the results of all bug-drug combinations in a data set. The column containing microorganism codes is guessed automatically and its input is transformed with <code><ahref="../reference/mo_property.html">mo_shortname()</a></code> at default:</p>
<spanclass="co">#> NOTE: Use 'format()' on this result to get a publicable/printable format.</span></pre></div>
<spanclass="co">#> NOTE: Use 'format()' on this result to get a publicable/printable format.</span></code></pre></div>
<p>You can format this to a printable format, ready for reporting or exporting to e.g.Excel with the base R <code><ahref="https://rdrr.io/r/base/format.html">format()</a></code> function:</p>
<p>Additional way to calculate co-resistance, i.e.when using multiple antimicrobials as input for <code>portion_*</code> functions or <code>count_*</code> functions. This can be used to determine the empiric susceptibility of a combination therapy. A new parameter <code>only_all_tested</code> (<strong>which defaults to <code>FALSE</code></strong>) replaces the old <code>also_single_tested</code> and can be used to select one of the two methods to count isolates and calculate portions. The difference can be seen in this example table (which is also on the <code>portion</code> and <code>count</code> help pages), where the %SI is being determined:</p>
<p>Since this is a major change, usage of the old <code>also_single_tested</code> will throw an informative error that it has been replaced by <code>only_all_tested</code>.</p>
</li>
<li>
<p><code>tibble</code> printing support for classes <code>rsi</code>, <code>mic</code>, <code>disk</code>, <code>ab</code><code>mo</code>. When using <code>tibble</code>s containing antimicrobial 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>
@ -968,7 +988,8 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<ul>
<li>
<p>Function <code><ahref="../reference/proportion.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><ahref="../reference/count.html">count_df()</a></code> and <code>portion_df()</code> to immediately show resistance percentages and number of available isolates:</p>
<li><p>Function <code><ahref="../reference/mo_property.html">mo_info()</a></code> as an analogy to <code><ahref="../reference/ab_property.html">ab_info()</a></code>. The <code><ahref="../reference/mo_property.html">mo_info()</a></code> prints a list with the full taxonomy, authors, and the URL to the online database of a microorganism</p></li>
<li><p>Function <code><ahref="../reference/mo_property.html">mo_synonyms()</a></code> to get all previously accepted taxonomic names of a microorganism</p></li>
@ -1098,7 +1120,8 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<li><p>when all values are unique it now shows a message instead of a warning</p></li>
<p>The <code>antibiotics</code> data set will be searched, after which the input data will be checked for column names with a value in any abbreviations, codes or official names found in the <code>antibiotics</code> data set. For example:</p>
<p>These functions use <code>as.atc()</code> internally. The old <code>atc_property</code> has been renamed <code><ahref="../reference/atc_online_property.html">atc_online_property()</a></code>. This is done for two reasons: firstly, not all ATC codes are of antibiotics (ab) but can also be of antivirals or antifungals. Secondly, the input must have class <code>atc</code> or must be coerable to this class. Properties of these classes should start with the same class name, analogous to <code><ahref="../reference/as.mo.html">as.mo()</a></code> and e.g.<code>mo_genus</code>.</p>
</li>
<li><p>New functions <code><ahref="../reference/mo_source.html">set_mo_source()</a></code> and <code><ahref="../reference/mo_source.html">get_mo_source()</a></code> to use your own predefined MO codes as input for <code><ahref="../reference/as.mo.html">as.mo()</a></code> and consequently all <code>mo_*</code> functions</p></li>
@ -1233,23 +1259,26 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<li><p>New function <code><ahref="../reference/age_groups.html">age_groups()</a></code> to split ages into custom or predefined groups (like children or elderly). This allows for easier demographic antimicrobial resistance analysis per age group.</p></li>
<li>
<p>New function <code><ahref="../reference/resistance_predict.html">ggplot_rsi_predict()</a></code> as well as the base R <code><ahref="../reference/plot.html">plot()</a></code> function can now be used for resistance prediction calculated with <code><ahref="../reference/resistance_predict.html">resistance_predict()</a></code>:</p>
<p>Functions <code><ahref="../reference/first_isolate.html">filter_first_isolate()</a></code> and <code><ahref="../reference/first_isolate.html">filter_first_weighted_isolate()</a></code> to shorten and fasten filtering on data sets with antimicrobial results, e.g.:</p>
<li><p>New function <code><ahref="../reference/availability.html">availability()</a></code> to check the number of available (non-empty) results in a <code>data.frame</code></p></li>
<li><p>New vignettes about how to conduct AMR analysis, predict antimicrobial resistance, use the <em>G</em>-test and more. These are also available (and even easier readable) on our website: <ahref="https://msberends.gitlab.io/AMR"class="uri">https://msberends.gitlab.io/AMR</a>.</p></li>
@ -1277,36 +1306,39 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<ul>
<li>
<p>Now handles incorrect spelling, like <code>i</code> instead of <code>y</code> and <code>f</code> instead of <code>ph</code>:</p>
<p>Uncertainty of the algorithm is now divided into four levels, 0 to 3, where the default <code>allow_uncertain = TRUE</code> is equal to uncertainty level 2. Run <code><ahref="../reference/as.mo.html">?as.mo</a></code> for more info about these levels.</p>
<p>Using <code><ahref="../reference/as.mo.html">as.mo(..., allow_uncertain = 3)</a></code> could lead to very unreliable results.</p>
</li>
<li><p>Implemented the latest publication of Becker <em>et al.</em> (2019), for categorising coagulase-negative <em>Staphylococci</em></p></li>
<li><p>All microbial IDs that found are now saved to a local file <code>~/.Rhistory_mo</code>. Use the new function <code>clean_mo_history()</code> to delete this file, which resets the algorithms.</p></li>
<li>
<p>Incoercible results will now be considered ‘unknown’, MO code <code>UNKNOWN</code>. On foreign systems, properties of these will be translated to all languages already previously supported: German, Dutch, French, Italian, Spanish and Portuguese:</p>
<spanclass="fu"><ahref="../reference/mo_property.html">mo_genus</a></span><spanclass="op">(</span><spanclass="st">"qwerty"</span>, language <spanclass="op">=</span><spanclass="st">"es"</span><spanclass="op">)</span>
<spanclass="co"># Warning: </span>
<spanclass="co"># one unique value (^= 100.0%) could not be coerced and is considered 'unknown': "qwerty". Use mo_failures() to review it.</span>
<li><p>Added parameter <code>combine_IR</code> (TRUE/FALSE) to functions <code>portion_df</code> and <code>count_df</code>, to indicate that all values of I and R must be merged into one, so the output only consists of S vs.IR (susceptible vs.non-susceptible)</p></li>
<li><p>Fix for <code>portion_*(..., as_percent = TRUE)</code> when minimal number of isolates would not be met</p></li>
@ -1450,17 +1484,19 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<spanclass="fu"><ahref="https://dplyr.tidyverse.org/reference/select.html">select</a></span><spanclass="op">(</span><spanclass="op">-</span><spanclass="va">count</span>, <spanclass="op">-</span><spanclass="va">cum_count</span><spanclass="op">)</span><spanclass="co"># only get item, percent, cum_percent</span></pre></div>
<spanclass="fu"><ahref="https://dplyr.tidyverse.org/reference/select.html">select</a></span><spanclass="op">(</span><spanclass="op">-</span><spanclass="va">count</span>, <spanclass="op">-</span><spanclass="va">cum_count</span><spanclass="op">)</span><spanclass="co"># only get item, percent, cum_percent</span></code></pre></div>
</li>
<li><p>Check for <code><ahref="https://hms.tidyverse.org/reference/Deprecated.html">hms::is.hms</a></code></p></li>
<li><p>Now prints in markdown at default in non-interactive sessions</p></li>
@ -1536,7 +1572,8 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
</li>
</ul>
<p>They also come with support for German, Dutch, French, Italian, Spanish and Portuguese:</p>
<spanclass="fu"><ahref="../reference/mo_property.html">mo_gramstain</a></span><spanclass="op">(</span><spanclass="st">"E. coli"</span>, language <spanclass="op">=</span><spanclass="st">"de"</span><spanclass="op">)</span><spanclass="co"># German</span>
@ -1544,12 +1581,13 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<spanclass="fu"><ahref="../reference/mo_property.html">mo_gramstain</a></span><spanclass="op">(</span><spanclass="st">"E. coli"</span>, language <spanclass="op">=</span><spanclass="st">"es"</span><spanclass="op">)</span><spanclass="co"># Spanish</span>
<spanclass="co"># [1] "Gram negativo"</span>
<spanclass="fu"><ahref="../reference/mo_property.html">mo_fullname</a></span><spanclass="op">(</span><spanclass="st">"S. group A"</span>, language <spanclass="op">=</span><spanclass="st">"pt"</span><spanclass="op">)</span><spanclass="co"># Portuguese</span>
<spanclass="co"># [1] "Streptococcus grupo A"</span></pre></div>
<spanclass="co"># [1] "Streptococcus grupo A"</span></code></pre></div>
<p>Furthermore, former taxonomic names will give a note about the current taxonomic name:</p>
<p>Functions <code>count_R</code>, <code>count_IR</code>, <code>count_I</code>, <code>count_SI</code> and <code>count_S</code> to selectively count resistant or susceptible isolates</p>
@ -1560,20 +1598,22 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<li><p>Function <code>is.rsi.eligible</code> to check for columns that have valid antimicrobial results, but do not have the <code>rsi</code> class yet. Transform the columns of your raw data with: <code>data %>% mutate_if(is.rsi.eligible, as.rsi)</code></p></li>
<li>
<p>Functions <code>as.mo</code> and <code>is.mo</code> as replacements for <code>as.bactid</code> and <code>is.bactid</code> (since the <code>microoganisms</code> data set not only contains bacteria). These last two functions are deprecated and will be removed in a future release. The <code>as.mo</code> function determines microbial IDs using intelligent rules:</p>
<spanclass="fu">microbenchmark</span><spanclass="fu">::</span><spanclass="fu"><ahref="https://rdrr.io/pkg/microbenchmark/man/microbenchmark.html">microbenchmark</a></span><spanclass="op">(</span><spanclass="fu"><ahref="../reference/as.mo.html">as.mo</a></span><spanclass="op">(</span><spanclass="va">thousands_of_E_colis</span><spanclass="op">)</span>, unit <spanclass="op">=</span><spanclass="st">"s"</span><spanclass="op">)</span>
<li><p>Added parameter <code>reference_df</code> for <code>as.mo</code>, so users can supply their own microbial IDs, name or codes as a reference table</p></li>
<li>
@ -1601,13 +1641,14 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<li><p>Added three antimicrobial agents to the <code>antibiotics</code> data set: Terbinafine (D01BA02), Rifaximin (A07AA11) and Isoconazole (D01AC05)</p></li>
<li>
<p>Added 163 trade names to the <code>antibiotics</code> data set, it now contains 298 different trade names in total, e.g.:</p>
<li><p>For <code>first_isolate</code>, rows will be ignored when there’s no species available</p></li>
<li><p>Function <code>ratio</code> is now deprecated and will be removed in a future release, as it is not really the scope of this package</p></li>
@ -1617,14 +1658,15 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<li><p>Added parameters <code>minimum</code> and <code>as_percent</code> to <code>portion_df</code></p></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>
<li><p>Edited <code>ggplot_rsi</code> and <code>geom_rsi</code> so they can cope with <code>count_df</code>. The new <code>fun</code> parameter has value <code>portion_df</code> at default, but can be set to <code>count_df</code>.</p></li>
<li><p>Fix for <code>ggplot_rsi</code> when the <code>ggplot2</code> package was not loaded</p></li>
@ -1636,14 +1678,16 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<li><p>Added longest en shortest character length in the frequency table (<code>freq</code>) header of class <code>character</code></p></li>
<li>
<p>Support for types (classes) list and matrix for <code>freq</code></p>
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
