<p>All antibiotic class selectors (such as <code><ahref="../reference/antibiotic_class_selectors.html">carbapenems()</a></code>, <code><ahref="../reference/antibiotic_class_selectors.html">aminoglycosides()</a></code>) can now be used for filtering as well, making all their accompanying <code>filter_*()</code> functions redundant (such as <code><ahref="../reference/AMR-deprecated.html">filter_carbapenems()</a></code>, <code><ahref="../reference/AMR-deprecated.html">filter_aminoglycosides()</a></code>). These functions are now deprecated and will be removed in a next release.</p>
<spanclass="co"># select columns with results for carbapenems</span>
<spanclass="va">example_isolates</span><spanclass="op">[</span>, <spanclass="fu"><ahref="../reference/antibiotic_class_selectors.html">carbapenems</a></span><spanclass="op">(</span><spanclass="op">)</span><spanclass="op">]</span><spanclass="co"># base R</span>
<spanclass="co"># filter rows for resistance in any carbapenem</span>
<spanclass="va">example_isolates</span><spanclass="op">[</span><spanclass="fu"><ahref="https://rdrr.io/r/base/any.html">any</a></span><spanclass="op">(</span><spanclass="fu"><ahref="../reference/antibiotic_class_selectors.html">carbapenems</a></span><spanclass="op">(</span><spanclass="op">)</span><spanclass="op">==</span><spanclass="st">"R"</span><spanclass="op">)</span>, <spanclass="op">]</span><spanclass="co"># base R</span>
<spanclass="co"># filter rows for resistance in all carbapenems</span>
<spanclass="va">example_isolates</span><spanclass="op">[</span><spanclass="fu"><ahref="https://rdrr.io/r/base/all.html">all</a></span><spanclass="op">(</span><spanclass="fu"><ahref="../reference/antibiotic_class_selectors.html">carbapenems</a></span><spanclass="op">(</span><spanclass="op">)</span><spanclass="op">==</span><spanclass="st">"R"</span><spanclass="op">)</span>, <spanclass="op">]</span><spanclass="co"># base R</span>
<li>The documentation of the <code><ahref="../reference/first_isolate.html">first_isolate()</a></code> and <code><ahref="../reference/key_antimicrobials.html">key_antimicrobials()</a></code> functions has been completely rewritten.</li>
</ul>
</li>
<li>Function <code><ahref="../reference/antibiotic_class_selectors.html">betalactams()</a></code> as additional antbiotic column selector and function <code><ahref="../reference/filter_ab_class.html">filter_betalactams()</a></code> as additional antbiotic column filter. The group of betalactams consists of all carbapenems, cephalosporins and penicillins.</li>
<li>Function <code><ahref="../reference/antibiotic_class_selectors.html">betalactams()</a></code> as additional antbiotic column selector and function <code><ahref="../reference/AMR-deprecated.html">filter_betalactams()</a></code> as additional antbiotic column filter. The group of betalactams consists of all carbapenems, cephalosporins and penicillins.</li>
<li>A <code>ggplot()</code> method for <code><ahref="../reference/resistance_predict.html">resistance_predict()</a></code>
</li>
</ul>
@ -287,7 +312,7 @@
<li><p>Now checks if <code>pattern</code> is a <em>valid</em> regular expression</p></li>
<li>
<p>Added <code><ahref="../reference/like.html">%unlike%</a></code> and <code><ahref="../reference/like.html">%unlike_case%</a></code> (as negations of the existing <code><ahref="../reference/like.html">%like%</a></code> and <code><ahref="../reference/like.html">%like_case%</a></code>). This greatly improves readability:</p>
<li>Updated <code><ahref="https://docs.ropensci.org/skimr/reference/skim.html">skimr::skim()</a></code> usage for MIC values to also include 25th and 75th percentiles</li>
<li>Fix for plotting missing MIC/disk diffusion values</li>
<li>Updated join functions to always use <code>dplyr</code> join functions if the <code>dplyr</code> package is installed - now also preserving grouped variables</li>
<li>Updates for filtering on antibiotic classes (e.g., using <code><ahref="../reference/filter_ab_class.html">filter_carbapenems()</a></code>):
<li>Updates for filtering on antibiotic classes (e.g., using <code><ahref="../reference/AMR-deprecated.html">filter_carbapenems()</a></code>):
<p>Added argument <code>only_rsi_columns</code> for some functions, which defaults to <code>FALSE</code>, to indicate if the functions must only be applied to columns that are of class <code><rsi></code> (i.e., transformed with <code><ahref="../reference/as.rsi.html">as.rsi()</a></code>). This increases speed since automatic determination of antibiotic columns is not needed anymore. Affected functions are:</p>
<ul>
<li>All antibiotic selector functions (<code><ahref="../reference/antibiotic_class_selectors.html">ab_class()</a></code> and its wrappers, such as <code><ahref="../reference/antibiotic_class_selectors.html">aminoglycosides()</a></code>, <code><ahref="../reference/antibiotic_class_selectors.html">carbapenems()</a></code>, <code><ahref="../reference/antibiotic_class_selectors.html">penicillins()</a></code>)</li>
<li>All antibiotic filter functions (<code><ahref="../reference/filter_ab_class.html">filter_ab_class()</a></code> and its wrappers, such as <code><ahref="../reference/filter_ab_class.html">filter_aminoglycosides()</a></code>, <code><ahref="../reference/filter_ab_class.html">filter_carbapenems()</a></code>, <code><ahref="../reference/filter_ab_class.html">filter_penicillins()</a></code>)</li>
<li>All antibiotic filter functions (<code><ahref="../reference/AMR-deprecated.html">filter_ab_class()</a></code> and its wrappers, such as <code><ahref="../reference/AMR-deprecated.html">filter_aminoglycosides()</a></code>, <code><ahref="../reference/AMR-deprecated.html">filter_carbapenems()</a></code>, <code><ahref="../reference/AMR-deprecated.html">filter_penicillins()</a></code>)</li>
<code><ahref="../reference/mdro.html">mdro()</a></code> (including wrappers such as <code><ahref="../reference/mdro.html">brmo()</a></code>, <code><ahref="../reference/mdro.html">mrgn()</a></code> and <code><ahref="../reference/mdro.html">eucast_exceptional_phenotypes()</a></code>)</li>
@ -365,21 +390,21 @@
</ul>
</li>
<li>
<p>Functions <code><ahref="../reference/antibiotic_class_selectors.html">oxazolidinones()</a></code> (an antibiotic selector function) and <code><ahref="../reference/filter_ab_class.html">filter_oxazolidinones()</a></code> (an antibiotic filter function) to select/filter on e.g.linezolid and tedizolid</p>
<p>Functions <code><ahref="../reference/antibiotic_class_selectors.html">oxazolidinones()</a></code> (an antibiotic selector function) and <code><ahref="../reference/AMR-deprecated.html">filter_oxazolidinones()</a></code> (an antibiotic filter function) to select/filter on e.g.linezolid and tedizolid</p>
<spanclass="co">#> Filtering on oxazolidinones: value in column `LNZ` (linezolid) is either "R", "S" or "I"</span></code></pre></div>
</li>
<li><p>Support for custom MDRO guidelines, using the new <code><ahref="../reference/mdro.html">custom_mdro_guideline()</a></code> function, please see <code><ahref="../reference/mdro.html">mdro()</a></code> for additional info</p></li>
<li><p><code>ggplot()</code> generics for classes <code><mic></code> and <code><disk></code></p></li>
<li>
<p>Function <code><ahref="../reference/mo_property.html">mo_is_yeast()</a></code>, which determines whether a microorganism is a member of the taxonomic class Saccharomycetes or the taxonomic order Saccharomycetales:</p>
<spanclass="va">example_isolates</span><spanclass="op">[</span><spanclass="fu"><ahref="https://rdrr.io/r/base/which.html">which</a></span><spanclass="op">(</span><spanclass="fu"><ahref="../reference/mo_property.html">mo_is_yeast</a></span><spanclass="op">(</span><spanclass="op">)</span><spanclass="op">)</span>, <spanclass="op">]</span><spanclass="co"># base R</span>
<li><p>Added Pretomanid (PMD, J04AK08) to the <code>antibiotics</code> data set</p></li>
<li>
<p>MIC values (see <code><ahref="../reference/as.mic.html">as.mic()</a></code>) can now be used in any mathematical processing, such as usage inside functions <code><ahref="https://rdrr.io/r/base/Extremes.html">min()</a></code>, <code><ahref="https://rdrr.io/r/base/Extremes.html">max()</a></code>, <code><ahref="https://rdrr.io/r/base/range.html">range()</a></code>, and with binary operators (<code><ahref="https://rdrr.io/r/base/Arithmetic.html">+</a></code>, <code><ahref="https://rdrr.io/r/base/Arithmetic.html">-</a></code>, etc.). This allows for easy distribution analysis and fast filtering on MIC values:</p>
<p>Functions <code><ahref="../reference/get_episode.html">get_episode()</a></code> and <code><ahref="../reference/get_episode.html">is_new_episode()</a></code> to determine (patient) episodes which are not necessarily based on microorganisms. The <code><ahref="../reference/get_episode.html">get_episode()</a></code> function returns the index number of the episode per group, while the <code><ahref="../reference/get_episode.html">is_new_episode()</a></code> function returns values <code>TRUE</code>/<code>FALSE</code> to indicate whether an item in a vector is the start of a new episode. They also support <code>dplyr</code>s grouping (i.e.using <code><ahref="https://dplyr.tidyverse.org/reference/group_by.html">group_by()</a></code>):</p>
<spanclass="co"># to select first isolates that are Gram-negative </span>
<spanclass="co"># and view results of cephalosporins and aminoglycosides:</span>
@ -550,7 +575,7 @@
</li>
<li>
<p>For antibiotic selection functions (such as <code><ahref="../reference/antibiotic_class_selectors.html">cephalosporins()</a></code>, <code><ahref="../reference/antibiotic_class_selectors.html">aminoglycosides()</a></code>) to select columns based on a certain antibiotic group, the dependency on the <code>tidyselect</code> package was removed, meaning that they can now also be used without the need to have this package installed and now also work in base R function calls (they rely on R 3.2 or later):</p>
<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>
<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>
<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>
<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>
<li><p>Added official antimicrobial names to all <code><ahref="../reference/filter_ab_class.html">filter_ab_class()</a></code> functions, such as <code><ahref="../reference/filter_ab_class.html">filter_aminoglycosides()</a></code></p></li>
<li><p>Added function <code><ahref="../reference/AMR-deprecated.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>
<li><p>Added official antimicrobial names to all <code><ahref="../reference/AMR-deprecated.html">filter_ab_class()</a></code> functions, such as <code><ahref="../reference/AMR-deprecated.html">filter_aminoglycosides()</a></code></p></li>
<li><p>Added antibiotics code “FOX1” for cefoxitin screening (abbreviation “cfsc”) to the <code>antibiotics</code> data set</p></li>
<li><p>Added Monuril as trade name for fosfomycin</p></li>
<li><p>Added argument <code>conserve_capped_values</code> to <code><ahref="../reference/as.rsi.html">as.rsi()</a></code> for interpreting MIC values - it makes sure that values starting with “<” (but not “<=”) will always return “S” and values starting with “>” (but not “>=”) will always return “R”. The default behaviour of <code><ahref="../reference/as.rsi.html">as.rsi()</a></code> has not changed, so you need to specifically do <code><ahref="../reference/as.rsi.html">as.rsi(..., conserve_capped_values = TRUE)</a></code>.</p></li>
@ -759,7 +784,7 @@
<li><p>Changed the summary for class <code><rsi></code>, to highlight the %SI vs.%R</p></li>
<li><p>Improved error handling, giving more useful info when functions return an error</p></li>
<li><p>Any progress bar will now only show in interactive mode (i.e.not in R Markdown)</p></li>
<li><p>Speed improvement for <code><ahref="../reference/mdro.html">mdro()</a></code> and <code><ahref="../reference/filter_ab_class.html">filter_ab_class()</a></code></p></li>
<li><p>Speed improvement for <code><ahref="../reference/mdro.html">mdro()</a></code> and <code><ahref="../reference/AMR-deprecated.html">filter_ab_class()</a></code></p></li>
<li><p>New option <code>arrows_textangled</code> for <code><ahref="../reference/ggplot_pca.html">ggplot_pca()</a></code> to indicate whether the text at the end of the arrows should be angled (defaults to <code>TRUE</code>, as it was in previous versions)</p></li>
<li><p>Added parenteral DDD to benzylpenicillin</p></li>
<li><p>Fixed a bug where <code><ahref="../reference/as.mic.html">as.mic()</a></code> could not handle dots without a leading zero (like <code>"<=.25</code>)</p></li>
@ -887,7 +912,7 @@ 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>
@ -915,7 +940,7 @@ 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>
@ -926,7 +951,7 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
</li>
<li>
<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>
@ -1008,7 +1033,7 @@ 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>
@ -1037,7 +1062,7 @@ 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>
@ -1095,14 +1120,14 @@ 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 argument <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>
@ -1127,7 +1152,7 @@ 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></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 argument <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>
@ -1178,7 +1203,7 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
</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>
@ -1229,7 +1254,7 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<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 cephalosporins now have their generation between brackets</li>
<li>Speed improvement for <code><ahref="../reference/guess_ab_col.html">guess_ab_col()</a></code> which is now 30 times faster for antibiotic abbreviations</li>
<li>Improved <code><ahref="../reference/filter_ab_class.html">filter_ab_class()</a></code> to be more reliable and to support 5th generation cephalosporins</li>
<li>Improved <code><ahref="../reference/AMR-deprecated.html">filter_ab_class()</a></code> to be more reliable and to support 5th generation cephalosporins</li>
<li>Function <code><ahref="../reference/availability.html">availability()</a></code> now uses <code>portion_R()</code> instead of <code>portion_IR()</code>, to comply with EUCAST insights</li>
<li>Functions <code><ahref="../reference/age.html">age()</a></code> and <code><ahref="../reference/age_groups.html">age_groups()</a></code> now have a <code>na.rm</code> argument to remove empty values</li>
<li>Renamed function <code>p.symbol()</code> to <code><ahref="../reference/AMR-deprecated.html">p_symbol()</a></code> (the former is now deprecated and will be removed in a future version)</li>
@ -1260,7 +1285,7 @@ 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>
<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>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>
@ -1528,7 +1553,7 @@ 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 AMR data 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>
@ -1536,13 +1561,13 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
</li>
<li>
<p>Functions <code><ahref="../reference/first_isolate.html">filter_first_isolate()</a></code> and <code><ahref="../reference/AMR-deprecated.html">filter_first_weighted_isolate()</a></code> to shorten and fasten filtering on data sets with antimicrobial results, e.g.:</p>
@ -1587,7 +1612,7 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
</li>
<li>
<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>
@ -1602,7 +1627,7 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<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>
@ -1652,7 +1677,7 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<ul>
<li>
<p>Support for tidyverse quasiquotation! Now you can create frequency tables of function outcomes:</p>
@ -1850,7 +1875,7 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<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></code></pre></div>
<p>Furthermore, former taxonomic names will give a note about the current taxonomic name:</p>
<spanclass="co"># Note: 'Escherichia blattae' (Burgess et al., 1973) was renamed 'Shimwellia blattae' (Priest and Barker, 2010)</span>
@ -1865,7 +1890,7 @@ 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>
@ -1908,7 +1933,7 @@ 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>
@ -1925,7 +1950,7 @@ This works for all drug combinations, such as ampicillin/sulbactam, ceftazidime/
<li><p>Added arguments <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>
<spanclass="version label label-default"data-toggle="tooltip"data-placement="bottom"title="Latest development version">1.6.0.9015</span>
<spanclass="version label label-default"data-toggle="tooltip"data-placement="bottom"title="Latest development version">1.6.0.9048</span>
</span>
</div>
@ -239,7 +239,7 @@
</div>
<divclass="ref-description">
<p>These functions are so-called '<ahref='https://rdrr.io/r/base/Deprecated.html'>Deprecated</a>'. They will be removed in a future release. Using the functions will give a warning with the name of the function it has been replaced by (if there is one).</p>
<p>These functions are so-called '<ahref='https://rdrr.io/r/base/Deprecated.html'>Deprecated</a>'. <strong>They will be removed in a future release.</strong> Using the functions will give a warning with the name of the function it has been replaced by (if there is one).</p>
<p>All antibiotic class selectors (such as <code><ahref='antibiotic_class_selectors.html'>carbapenems()</a></code>, <code><ahref='antibiotic_class_selectors.html'>aminoglycosides()</a></code>) can now be used for filtering as well, making all their accompanying <code>filter_*()</code> functions redundant (such as <code>filter_carbapenems()</code>, <code>filter_aminoglycosides()</code>).</p>
<metaproperty="og:title"content="Antibiotic Class Selectors — antibiotic_class_selectors"/>
<metaproperty="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.
<metaproperty="og:description"content="These functions help to filter and select columns with antibiotic test results that are of a specific antibiotic class, without the need to define the columns or antibiotic abbreviations.
<spanclass="version label label-default"data-toggle="tooltip"data-placement="bottom"title="Latest development version">1.6.0.9047</span>
<spanclass="version label label-default"data-toggle="tooltip"data-placement="bottom"title="Latest development version">1.6.0.9048</span>
</span>
</div>
@ -240,7 +240,7 @@
</div>
<divclass="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. <strong>
<p>These functions help to filter and select columns with antibiotic test results that are of a specific antibiotic class, without the need to define the columns or antibiotic abbreviations. <strong>
</strong></p>
</div>
@ -293,7 +293,8 @@
<p><strong>
</strong></p>
<p>All columns will be searched for known antibiotic names, abbreviations, brand names and codes (ATC, EARS-Net, WHO, etc.) in the <ahref='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>These functions can be used in data set calls for selecting columns and filtering rows, see <em>Examples</em>. They support base R, but work more convenient in dplyr functions such as <code><ahref='https://dplyr.tidyverse.org/reference/select.html'>select()</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>.</p>
<p>All columns in the data in which these functions are called will be searched for known antibiotic names, abbreviations, brand names, and codes (ATC, EARS-Net, WHO, etc.) in the <ahref='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>The group of betalactams consists of all carbapenems, cephalosporins and penicillins.</p>
@ -312,19 +313,36 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<p>On our website <ahref='https://msberends.github.io/AMR/'>https://msberends.github.io/AMR/</a> you can find <ahref='https://msberends.github.io/AMR/articles/AMR.html'>a comprehensive tutorial</a> about how to conduct AMR data analysis, the <ahref='https://msberends.github.io/AMR/reference/'>complete documentation of all functions</a> and <ahref='https://msberends.github.io/AMR/articles/WHONET.html'>an example analysis using WHONET data</a>. As we would like to better understand the backgrounds and needs of our users, please <ahref='https://msberends.github.io/AMR/survey.html'>participate in our survey</a>!</p>
<divclass='dont-index'><p><code><ahref='filter_ab_class.html'>filter_ab_class()</a></code> for the <code><ahref='https://dplyr.tidyverse.org/reference/filter.html'>filter()</a></code> equivalent.</p></div>
@ -353,10 +385,11 @@ The <a href='lifecycle.html'>lifecycle</a> of this function is <strong>stable</s
<spanclass='fu'><ahref='https://dplyr.tidyverse.org/reference/select.html'>select</a></span><spanclass='op'>(</span><spanclass='fu'>penicillins</span><spanclass='op'>(</span><spanclass='op'>)</span><spanclass='op'>)</span><spanclass='co'># only the 'J01CA01' column will be selected</span>
<spanclass='co'># with dplyr 1.0.0 and higher (that adds 'across()'), this is equal:</span>
<spanclass='co'># with dplyr 1.0.0 and higher (that adds 'across()'), this is all equal:</span>
<spanclass='co'># (though the row names on the first are more correct)</span>
<pclass="section-desc"><p>Use these function for the analysis part. You can use <code><ahref="../reference/proportion.html">susceptibility()</a></code> or <code><ahref="../reference/proportion.html">resistance()</a></code> on any antibiotic column. Be sure to first select the isolates that are appropiate for analysis, by using <code><ahref="../reference/first_isolate.html">first_isolate()</a></code> or <code><ahref="../reference/get_episode.html">is_new_episode()</a></code>. You can also filter your data on certain resistance in certain antibiotic classes (<code><ahref="../reference/filter_ab_class.html">filter_ab_class()</a></code>), or determine multi-drug resistant microorganisms (MDRO, <code><ahref="../reference/mdro.html">mdro()</a></code>).</p></p>
<pclass="section-desc"><p>Use these function for the analysis part. You can use <code><ahref="../reference/proportion.html">susceptibility()</a></code> or <code><ahref="../reference/proportion.html">resistance()</a></code> on any antibiotic column. Be sure to first select the isolates that are appropiate for analysis, by using <code><ahref="../reference/first_isolate.html">first_isolate()</a></code> or <code><ahref="../reference/get_episode.html">is_new_episode()</a></code>. You can also filter your data on certain resistance in certain antibiotic classes (<code><ahref="../reference/AMR-deprecated.html">filter_ab_class()</a></code>), or determine multi-drug resistant microorganisms (MDRO, <code><ahref="../reference/mdro.html">mdro()</a></code>).</p></p>
<spanclass="version label label-default"data-toggle="tooltip"data-placement="bottom"title="Latest development version">1.6.0.9047</span>
<spanclass="version label label-default"data-toggle="tooltip"data-placement="bottom"title="Latest development version">1.6.0.9048</span>
</span>
</div>
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