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@@ -195,16 +195,16 @@
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="va">df</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> birth_date age age_exact age_at_y2k</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 1950-07-14 72 72.42740 49</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1940-03-20 82 82.74521 59</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1991-09-23 31 31.23288 8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1963-09-12 59 59.26301 36</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1945-06-03 77 77.53973 54</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1956-08-06 66 66.36438 43</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1967-11-28 55 55.05205 32</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1993-08-31 29 29.29589 6</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1947-05-01 75 75.63014 52</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1961-04-19 61 61.66301 38</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 1985-12-06 37 37.03562 14</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 1937-08-12 85 85.35342 62</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 1989-05-26 33 33.56712 10</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 1959-05-27 63 63.56438 40</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 1993-06-30 29 29.47123 6</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 1944-03-18 78 78.75616 55</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 1961-02-21 61 61.82466 38</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 1958-12-02 64 64.04658 41</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 1974-05-30 48 48.55616 25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 1939-03-14 83 83.76712 60</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>

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@@ -274,6 +274,7 @@
<li><p>GBIF Secretariat (2022). GBIF Backbone Taxonomy. Checklist dataset <a href="https://doi.org/10.15468/39omei" class="external-link">doi:10.15468/39omei</a>
. Accessed from <a href="https://www.gbif.org" class="external-link">https://www.gbif.org</a> on 11 December, 2022.</p></li>
<li><p>Public Health Information Network Vocabulary Access and Distribution System (PHIN VADS). US Edition of SNOMED CT from 1 September 2020. Value Set Name 'Microoganism', OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href="https://phinvads.cdc.gov" class="external-link">https://phinvads.cdc.gov</a></p></li>
<li><p>Bartlett A <em>et al.</em> (2022). <strong>A comprehensive list of bacterial pathogens infecting humans</strong> <em>Microbiology</em> 168:001269; <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">doi:10.1099/mic.0.001269</a></p></li>
</ol></div>
<div class="section level2">
<h2 id="matching-score-for-microorganisms">Matching Score for Microorganisms<a class="anchor" aria-label="anchor" href="#matching-score-for-microorganisms"></a></h2>
@@ -287,12 +288,14 @@
<li><p><i>lev</i> is the <a href="https://en.wikipedia.org/wiki/Levenshtein_distance" class="external-link">Levenshtein distance function</a> (counting any insertion as 1, and any deletion or substitution as 2) that is needed to change <i>x</i> into <i>n</i>;</p></li>
<li><p><i>p<sub>n</sub></i> is the human pathogenic prevalence group of <i>n</i>, as described below;</p></li>
<li><p><i>k<sub>n</sub></i> is the taxonomic kingdom of <i>n</i>, set as Bacteria = 1, Fungi = 2, Protozoa = 3, Archaea = 4, others = 5.</p></li>
</ul><p>The grouping into human pathogenic prevalence (\(p\)) is based on experience from several microbiological laboratories in the Netherlands in conjunction with international reports on pathogen prevalence:</p>
<p><strong>Group 1</strong> (most prevalent microorganisms) consists of all microorganisms where the taxonomic class is Gammaproteobacteria or where the taxonomic genus is <em>Enterococcus</em>, <em>Staphylococcus</em> or <em>Streptococcus</em>. This group consequently contains all common Gram-negative bacteria, such as <em>Pseudomonas</em> and <em>Legionella</em> and all species within the order Enterobacterales.</p>
<p><strong>Group 2</strong> consists of all microorganisms where the taxonomic phylum is Pseudomonadota (previously named Proteobacteria), Bacillota (previously named Firmicutes), Actinomycetota (previously named Actinobacteria) or Sarcomastigophora, or where the taxonomic genus is <em>Absidia</em>, <em>Acanthamoeba</em>, <em>Acholeplasma</em>, <em>Acremonium</em>, <em>Actinotignum</em>, <em>Aedes</em>, <em>Alistipes</em>, <em>Alloprevotella</em>, <em>Alternaria</em>, <em>Amoeba</em>, <em>Anaerosalibacter</em>, <em>Ancylostoma</em>, <em>Angiostrongylus</em>, <em>Anisakis</em>, <em>Anopheles</em>, <em>Apophysomyces</em>, <em>Arachnia</em>, <em>Aspergillus</em>, <em>Aureobasidium</em>, <em>Bacteroides</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Bergeyella</em>, <em>Blastocystis</em>, <em>Blastomyces</em>, <em>Borrelia</em>, <em>Brachyspira</em>, <em>Branhamella</em>, <em>Butyricimonas</em>, <em>Candida</em>, <em>Capillaria</em>, <em>Capnocytophaga</em>, <em>Catabacter</em>, <em>Cetobacterium</em>, <em>Chaetomium</em>, <em>Chlamydia</em>, <em>Chlamydophila</em>, <em>Christensenella</em>, <em>Chryseobacterium</em>, <em>Chrysonilia</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Conidiobolus</em>, <em>Contracaecum</em>, <em>Cordylobia</em>, <em>Cryptococcus</em>, <em>Curvularia</em>, <em>Deinococcus</em>, <em>Demodex</em>, <em>Dermatobia</em>, <em>Dientamoeba</em>, <em>Diphyllobothrium</em>, <em>Dirofilaria</em>, <em>Dysgonomonas</em>, <em>Echinostoma</em>, <em>Elizabethkingia</em>, <em>Empedobacter</em>, <em>Entamoeba</em>, <em>Enterobius</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Fasciola</em>, <em>Flavobacterium</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Fusobacterium</em>, <em>Giardia</em>, <em>Haloarcula</em>, <em>Halobacterium</em>, <em>Halococcus</em>, <em>Hendersonula</em>, <em>Heterophyes</em>, <em>Histomonas</em>, <em>Histoplasma</em>, <em>Hymenolepis</em>, <em>Hypomyces</em>, <em>Hysterothylacium</em>, <em>Leishmania</em>, <em>Lelliottia</em>, <em>Leptosphaeria</em>, <em>Leptotrichia</em>, <em>Lucilia</em>, <em>Lumbricus</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Metagonimus</em>, <em>Meyerozyma</em>, <em>Microsporidium</em>, <em>Microsporum</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Mycoplasma</em>, <em>Myroides</em>, <em>Necator</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Odoribacter</em>, <em>Oesophagostomum</em>, <em>Oidiodendron</em>, <em>Opisthorchis</em>, <em>Ornithobacterium</em>, <em>Parabacteroides</em>, <em>Pediculus</em>, <em>Pedobacter</em>, <em>Phlebotomus</em>, <em>Phocaeicola</em>, <em>Phocanema</em>, <em>Phoma</em>, <em>Pichia</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Pneumocystis</em>, <em>Porphyromonas</em>, <em>Prevotella</em>, <em>Pseudallescheria</em>, <em>Pseudoterranova</em>, <em>Pulex</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Riemerella</em>, <em>Saccharomyces</em>, <em>Sarcoptes</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Sphingobacterium</em>, <em>Spirometra</em>, <em>Spiroplasma</em>, <em>Sporobolomyces</em>, <em>Stachybotrys</em>, <em>Streptobacillus</em>, <em>Strongyloides</em>, <em>Syngamus</em>, <em>Taenia</em>, <em>Tannerella</em>, <em>Tenacibaculum</em>, <em>Terrimonas</em>, <em>Toxocara</em>, <em>Treponema</em>, <em>Trichinella</em>, <em>Trichobilharzia</em>, <em>Trichoderma</em>, <em>Trichomonas</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Trichostrongylus</em>, <em>Trichuris</em>, <em>Tritirachium</em>, <em>Trombicula</em>, <em>Trypanosoma</em>, <em>Tunga</em>, <em>Ureaplasma</em>, <em>Victivallis</em>, <em>Wautersiella</em>, <em>Weeksella</em> or <em>Wuchereria</em>.</p>
<p><strong>Group 3</strong> consists of all other microorganisms.</p>
<p>All characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.079\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
</ul><p>The grouping into human pathogenic prevalence (\(p\)) is based on recent work from Bartlett <em>et al.</em> (2022, <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">doi:10.1099/mic.0.001269</a>
) who extensively studied medical-scientific literature to categorise all bacterial species into these groups:</p><ul><li><p><strong>Established</strong>, if a taxonomic species has infected at least three persons in three or more references. These records have <code>prevalence = 1.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
<li><p><strong>Putative</strong>, if a taxonomic species has fewer than three known cases. These records have <code>prevalence = 2.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
</ul><p>Furthermore,</p><ul><li><p>Any <em>other</em> bacterial genus, species or subspecies of which the genus is present in the two aforementioned groups, has <code>prevalence = 2.5</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
<li><p>Any <em>non-bacterial</em> genus, species or subspecies of which the genus is present in the following list, also has <code>prevalence = 2.5</code> in the <a href="microorganisms.html">microorganisms</a> data set: <em>Absidia</em>, <em>Acanthamoeba</em>, <em>Acremonium</em>, <em>Aedes</em>, <em>Alternaria</em>, <em>Amoeba</em>, <em>Ancylostoma</em>, <em>Angiostrongylus</em>, <em>Anisakis</em>, <em>Anopheles</em>, <em>Apophysomyces</em>, <em>Aspergillus</em>, <em>Aureobasidium</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Blastocystis</em>, <em>Blastomyces</em>, <em>Candida</em>, <em>Capillaria</em>, <em>Chaetomium</em>, <em>Chrysonilia</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Conidiobolus</em>, <em>Contracaecum</em>, <em>Cordylobia</em>, <em>Cryptococcus</em>, <em>Curvularia</em>, <em>Demodex</em>, <em>Dermatobia</em>, <em>Dientamoeba</em>, <em>Diphyllobothrium</em>, <em>Dirofilaria</em>, <em>Echinostoma</em>, <em>Entamoeba</em>, <em>Enterobius</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Fasciola</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Giardia</em>, <em>Haloarcula</em>, <em>Halobacterium</em>, <em>Halococcus</em>, <em>Hendersonula</em>, <em>Heterophyes</em>, <em>Histomonas</em>, <em>Histoplasma</em>, <em>Hymenolepis</em>, <em>Hypomyces</em>, <em>Hysterothylacium</em>, <em>Leishmania</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Metagonimus</em>, <em>Meyerozyma</em>, <em>Microsporidium</em>, <em>Microsporum</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Necator</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Oesophagostomum</em>, <em>Oidiodendron</em>, <em>Opisthorchis</em>, <em>Pediculus</em>, <em>Phlebotomus</em>, <em>Phoma</em>, <em>Pichia</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Pneumocystis</em>, <em>Pseudallescheria</em>, <em>Pseudoterranova</em>, <em>Pulex</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Saccharomyces</em>, <em>Sarcoptes</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Spirometra</em>, <em>Sporobolomyces</em>, <em>Stachybotrys</em>, <em>Strongyloides</em>, <em>Syngamus</em>, <em>Taenia</em>, <em>Toxocara</em>, <em>Trichinella</em>, <em>Trichobilharzia</em>, <em>Trichoderma</em>, <em>Trichomonas</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Trichostrongylus</em>, <em>Trichuris</em>, <em>Tritirachium</em>, <em>Trombicula</em>, <em>Trypanosoma</em>, <em>Tunga</em> or <em>Wuchereria</em>.</p></li>
<li><p>All other records have <code>prevalence = 3.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
</ul><p>When calculating the matching score, all characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.095\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
</div>
<div class="section level2">
<h2 id="reference-data-publicly-available">Reference Data Publicly Available<a class="anchor" aria-label="anchor" href="#reference-data-publicly-available"></a></h2>

22
reference/as.rsi.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -506,16 +506,16 @@ A microorganism is categorised as <em>Susceptible, Increased exposure</em> when
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 50 × 12</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> datetime index ab_input ab_gu…¹ mo_in…² mo_guideline guide…³</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dttm&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;ab&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 2022-12-17 <span style="color: #949494;">13:36:22</span> 1 ampicillin AMP Strep … B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 2022-12-17 <span style="color: #949494;">13:36:22</span> 1 AMP AMP Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2022-12-17 <span style="color: #949494;">13:36:23</span> 1 CIP CIP Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2022-12-17 <span style="color: #949494;">13:36:23</span> 1 GEN GEN Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2022-12-17 <span style="color: #949494;">13:36:23</span> 1 TOB TOB Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2022-12-17 <span style="color: #949494;">13:36:24</span> 1 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 2022-12-17 <span style="color: #949494;">13:36:24</span> 1 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 2022-12-17 <span style="color: #949494;">13:36:24</span> 2 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2022-12-17 <span style="color: #949494;">13:36:24</span> 3 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2022-12-17 <span style="color: #949494;">13:36:24</span> 4 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 2022-12-19 <span style="color: #949494;">14:37:19</span> 1 ampicillin AMP Strep … B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 2022-12-19 <span style="color: #949494;">14:37:20</span> 1 AMP AMP Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 2022-12-19 <span style="color: #949494;">14:37:20</span> 1 CIP CIP Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 2022-12-19 <span style="color: #949494;">14:37:20</span> 1 GEN GEN Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 2022-12-19 <span style="color: #949494;">14:37:20</span> 1 TOB TOB Escher… B_[ORD]_ENTRBCTR EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 2022-12-19 <span style="color: #949494;">14:37:21</span> 1 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 2022-12-19 <span style="color: #949494;">14:37:22</span> 1 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 2022-12-19 <span style="color: #949494;">14:37:22</span> 2 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 2022-12-19 <span style="color: #949494;">14:37:22</span> 3 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 2022-12-19 <span style="color: #949494;">14:37:22</span> 4 AMX AMX B_STRP… B_STRPT_PNMN EUCAST…</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># … with 40 more rows, 5 more variables: ref_table &lt;chr&gt;, method &lt;chr&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># input &lt;dbl&gt;, outcome &lt;rsi&gt;, breakpoint_S_R &lt;chr&gt;, and abbreviated variable</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># names ¹​ab_guideline, ²​mo_input, ³​guideline</span></span>

2
reference/atc_online.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">

2
reference/av_from_text.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">

2
reference/av_property.html
View File

@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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2
reference/availability.html
View File

@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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2
reference/bug_drug_combinations.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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2
reference/count.html
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@@ -12,7 +12,7 @@ count_resistant() should be used to count resistant isolates, count_susceptible(
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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2
reference/custom_eucast_rules.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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2
reference/dosage.html
View File

@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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2
reference/eucast_rules.html
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@@ -12,7 +12,7 @@ To improve the interpretation of the antibiogram before EUCAST rules are applied
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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2
reference/example_isolates.html
View File

@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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2
reference/example_isolates_unclean.html
View File

@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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2
reference/first_isolate.html
View File

@@ -12,7 +12,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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2
reference/g.test.html
View File

@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">

141
reference/get_episode.html
View File

@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -182,40 +182,41 @@
<span class="r-in"><span><span class="va">df</span> <span class="op">&lt;-</span> <span class="va">example_isolates</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/sample.html" class="external-link">sample</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq_len</a></span><span class="op">(</span><span class="fl">2000</span><span class="op">)</span>, size <span class="op">=</span> <span class="fl">200</span><span class="op">)</span>, <span class="op">]</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="fu">get_episode</span><span class="op">(</span><span class="va">df</span><span class="op">$</span><span class="va">date</span>, episode_days <span class="op">=</span> <span class="fl">60</span><span class="op">)</span> <span class="co"># indices</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 53 49 6 33 7 22 60 55 14 11 43 17 48 43 60 28 15 12 27 46 4 24 22 19 6</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [26] 48 41 21 48 40 46 26 39 54 43 35 2 14 31 13 41 61 42 1 23 49 45 40 60 16</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [51] 13 9 48 13 2 58 38 32 55 7 28 43 1 46 44 53 57 6 20 61 30 55 34 6 5</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [76] 25 52 29 51 8 25 45 53 45 44 4 50 8 27 22 18 26 53 17 58 16 62 46 59 55</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [101] 28 2 48 19 9 17 62 30 20 34 29 50 42 11 46 42 6 14 37 41 10 15 59 41 53</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [126] 6 52 1 36 63 62 14 49 47 26 4 59 35 46 18 21 35 27 53 29 11 27 36 57 6</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [151] 18 10 27 35 24 49 13 9 46 37 54 7 60 47 47 49 55 63 12 60 61 11 59 37 7</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [176] 55 36 20 49 3 37 40 62 2 3 8 24 59 51 9 54 56 50 45 36 38 7 30 41 22</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 44 41 9 51 35 64 60 49 41 26 55 1 37 2 46 54 2 62 58 25 57 38 1 50 21</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [26] 48 11 9 24 55 40 57 60 52 33 3 11 63 51 47 36 59 57 14 57 32 60 13 54 26</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [51] 20 32 7 39 48 22 1 52 27 30 6 15 2 64 33 8 21 2 47 41 19 31 43 64 43</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [76] 6 42 14 42 36 8 42 34 43 5 38 57 18 46 37 27 18 60 2 33 23 14 18 42 8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [101] 56 29 12 16 55 60 27 3 15 46 57 63 27 6 18 64 3 59 8 45 49 9 52 13 37</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [126] 6 21 16 64 12 62 59 38 61 27 11 63 2 9 49 47 52 22 62 53 20 5 1 9 48</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [151] 10 20 20 18 20 11 5 38 43 18 22 50 44 59 14 31 62 6 10 60 14 43 59 13 42</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [176] 15 28 60 13 4 45 58 45 61 12 1 55 37 31 46 17 63 21 50 41 1 38 32 7 51</span>
<span class="r-in"><span><span class="fu">is_new_episode</span><span class="op">(</span><span class="va">df</span><span class="op">$</span><span class="va">date</span>, episode_days <span class="op">=</span> <span class="fl">60</span><span class="op">)</span> <span class="co"># TRUE/FALSE</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [13] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [25] FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE TRUE TRUE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [37] FALSE FALSE TRUE TRUE FALSE TRUE FALSE FALSE TRUE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [49] FALSE TRUE FALSE FALSE TRUE FALSE TRUE FALSE TRUE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [61] TRUE TRUE TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [73] FALSE TRUE TRUE FALSE FALSE FALSE TRUE FALSE TRUE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [85] FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [97] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [109] TRUE TRUE TRUE TRUE FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [121] TRUE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE TRUE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [133] FALSE FALSE FALSE TRUE FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [145] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE FALSE TRUE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [157] FALSE TRUE FALSE TRUE FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [169] TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [181] FALSE TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [193] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [13] FALSE FALSE FALSE TRUE FALSE FALSE TRUE TRUE TRUE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [25] FALSE FALSE FALSE FALSE TRUE TRUE TRUE FALSE FALSE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [37] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [49] FALSE TRUE FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [61] FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [73] TRUE TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [85] FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE TRUE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [97] TRUE FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [109] TRUE FALSE FALSE TRUE TRUE FALSE FALSE FALSE TRUE FALSE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [121] TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [133] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [145] TRUE FALSE FALSE TRUE TRUE TRUE TRUE FALSE FALSE FALSE TRUE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [157] TRUE FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE TRUE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [169] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE TRUE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [181] FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [193] TRUE TRUE TRUE FALSE TRUE FALSE TRUE FALSE</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># filter on results from the third 60-day episode only, using base R</span></span></span>
<span class="r-in"><span><span class="va">df</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/which.html" class="external-link">which</a></span><span class="op">(</span><span class="fu">get_episode</span><span class="op">(</span><span class="va">df</span><span class="op">$</span><span class="va">date</span>, <span class="fl">60</span><span class="op">)</span> <span class="op">==</span> <span class="fl">3</span><span class="op">)</span>, <span class="op">]</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 2 × 46</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> date patient age gender ward mo PEN OXA FLC AMX </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;rsi&gt;</span> <span style="color: #949494; font-style: italic;">&lt;rsi&gt;</span> <span style="color: #949494; font-style: italic;">&lt;rsi&gt;</span> <span style="color: #949494; font-style: italic;">&lt;rsi&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> 2002-09-08 B8CB09 60 F Outpatie… B_STPHY_CONS S NA S NA </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> 2002-08-19 A49852 70 M Clinical B_ESCHR_COLI R NA NA NA </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 3 × 46</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> date patient age gender ward mo PEN OXA FLC AMX </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;rsi&gt;</span> <span style="color: #949494; font-style: italic;">&lt;rsi&gt;</span> <span style="color: #949494; font-style: italic;">&lt;rsi&gt;</span> <span style="color: #949494; font-style: italic;">&lt;rsi&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> 2002-08-14 785317 51 F ICU B_ESCHR_COLI R NA NA NA </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> 2002-07-30 218912 76 F ICU B_ESCHR_COLI R NA NA NA </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> 2002-07-24 F35553 51 M ICU B_STPHY_AURS R NA S R </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># … with 36 more variables: AMC &lt;rsi&gt;, AMP &lt;rsi&gt;, TZP &lt;rsi&gt;, CZO &lt;rsi&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># FEP &lt;rsi&gt;, CXM &lt;rsi&gt;, FOX &lt;rsi&gt;, CTX &lt;rsi&gt;, CAZ &lt;rsi&gt;, CRO &lt;rsi&gt;,</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># GEN &lt;rsi&gt;, TOB &lt;rsi&gt;, AMK &lt;rsi&gt;, KAN &lt;rsi&gt;, TMP &lt;rsi&gt;, SXT &lt;rsi&gt;,</span></span>
@@ -251,16 +252,16 @@
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: condition [3]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> patient date condition new_episode</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 074321 2015-09-20 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 483195 2014-12-08 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 065187 2003-05-26 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 317826 2010-05-26 A TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> B82C75 2003-06-15 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 579075 2007-06-01 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 422833 2017-03-21 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 7D5503 2016-06-01 B TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 838694 2005-09-13 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 071099 2005-01-11 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> C25552 2012-11-22 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 76F141 2012-05-04 A TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 1B144C 2004-05-10 B TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0C0688 2014-09-05 C TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 725779 2010-09-04 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 527306 2017-12-12 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> E68281 2017-03-02 B FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> A96395 2014-03-11 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 686445 2012-05-24 C FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 195736 2008-08-29 A FALSE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># … with 190 more rows</span></span>
<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
<span class="r-in"><span> <span class="va">df</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
@@ -272,19 +273,19 @@
<span class="r-in"><span> <span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">}</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 200 × 5</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: ward, patient [180]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> ward date patient new_index new_logical</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> ICU 2015-09-20 074321 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> Clinical 2014-12-08 483195 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> ICU 2003-05-26 065187 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> ICU 2010-05-26 317826 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> Clinical 2003-06-15 B82C75 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> Clinical 2007-06-01 579075 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> ICU 2017-03-21 422833 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> Clinical 2016-06-01 7D5503 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> Clinical 2005-09-13 838694 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> Clinical 2005-01-11 071099 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: ward, patient [182]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> ward date patient new_index new_logical</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;date&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> Outpatient 2012-11-22 C25552 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> Clinical 2012-05-04 76F141 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> Outpatient 2004-05-10 1B144C 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> Clinical 2014-09-05 0C0688 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> Outpatient 2010-09-04 725779 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> ICU 2017-12-12 527306 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> Clinical 2017-03-02 E68281 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> Clinical 2014-03-11 A96395 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> Clinical 2012-05-24 686445 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> Clinical 2008-08-29 195736 1 TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># … with 190 more rows</span></span>
<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
<span class="r-in"><span> <span class="va">df</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
@@ -299,9 +300,9 @@
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 3 × 5</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> ward n_patients n_episodes_365 n_episodes_60 n_episodes_30</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> Clinical 119 15 52 79</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> ICU 48 14 32 39</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> Outpatient 13 7 10 11</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> Clinical 111 14 51 73</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> ICU 61 13 36 42</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> Outpatient 10 6 9 9</span>
<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span> <span class="co"># grouping on patients and microorganisms leads to the same</span></span></span>
@@ -331,19 +332,19 @@
<span class="r-in"><span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_data.html" class="external-link">group_vars</a></span><span class="op">(</span><span class="va">.</span><span class="op">)</span>, <span class="va">flag_episode</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">}</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 200 × 4</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: patient, mo, ward [188]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> patient mo ward flag_episode</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 074321 B_STPHY_HMLY ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 483195 B_STPHY_HMNS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 065187 B_STPHY_AURS ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 317826 B_STPHY_CONS ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> B82C75 B_STPHY_CONS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 579075 B_STPHY_CONS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 422833 B_STPHY_EPDR ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 7D5503 B_STPHY_AURS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 838694 B_STPHY_CONS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 071099 B_STPHY_CONS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups: patient, mo, ward [193]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> patient mo ward flag_episode</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;mo&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> C25552 B_STPHY_CONS Outpatient TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 76F141 B_ESCHR_COLI Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 1B144C B_STRPT_PNMN Outpatient TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0C0688 B_ESCHR_COLI Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 725779 B_STRPT_PNMN Outpatient TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 527306 B_STRPT_SLVR ICU TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> E68281 B_STPHY_AURS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> A96395 B_ENTRC_FCLS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 686445 B_PROTS_MRBL Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 195736 B_STPHY_AURS Clinical TRUE </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># … with 190 more rows</span></span>
<span class="r-in"><span><span class="co"># }</span></span></span>
</code></pre></div>

2
reference/ggplot_pca.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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2
reference/ggplot_rsi.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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2
reference/guess_ab_col.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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2
reference/index.html
View File

@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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2
reference/intrinsic_resistant.html
View File

@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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2
reference/italicise_taxonomy.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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2
reference/join.html
View File

@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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2
reference/key_antimicrobials.html
View File

@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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6
reference/kurtosis.html
View File

@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -172,9 +172,9 @@
<div class="section level2">
<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">kurtosis</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">10000</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 2.896262</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 3.087935</span>
<span class="r-in"><span><span class="fu">kurtosis</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">10000</span><span class="op">)</span>, excess <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.02220605</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.05751308</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>

2
reference/like.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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2
reference/mdro.html
View File

@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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78
reference/mean_amr_distance.html
View File

@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -200,10 +200,10 @@
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">x</span> <span class="op">&lt;-</span> <span class="fu"><a href="random.html">random_mic</a></span><span class="op">(</span><span class="fl">10</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">x</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mic'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.125 0.025 0.25 2 0.01 1 0.002 64 4 &gt;=128</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.025 0.005 0.01 4 4 8 1 &gt;=16 0.001 0.125</span>
<span class="r-in"><span><span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">x</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.3838663 -0.8280016 -0.1925876 0.3812484 -1.0808583 0.1899697</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] -1.5249937 1.3376418 0.5725271 1.5289205</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.6319520 -1.0956588 -0.8959511 0.8302930 0.8302930 1.0300007</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] 0.4308777 1.2297083 -1.5593656 -0.1682452</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="va">y</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span></span></span>
<span class="r-in"><span> id <span class="op">=</span> <span class="va">LETTERS</span><span class="op">[</span><span class="fl">1</span><span class="op">:</span><span class="fl">10</span><span class="op">]</span>,</span></span>
@@ -213,38 +213,38 @@
<span class="r-in"><span> tobr <span class="op">=</span> <span class="fu"><a href="random.html">random_mic</a></span><span class="op">(</span><span class="fl">10</span>, ab <span class="op">=</span> <span class="st">"tobr"</span>, mo <span class="op">=</span> <span class="st">"Escherichia coli"</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">y</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> id amox cipr gent tobr</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 A 2 2 &lt;=1 16</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 1 0.5 4 8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C 8 2 2 0.5</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D 8 1 &lt;=1 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E 4 &lt;=0.025 2 1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F 4 0.5 2 &lt;=0.25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G 16 1 4 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H 8 0.5 4 0.5</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I 4 0.0625 &lt;=1 &lt;=0.25</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J 1 0.25 4 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> id amox cipr gent tobr</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 A 1 1 1 4</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 1 2 8 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C 1 0.5 8 1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D 1 1 16 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E 4 0.5 4 16</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F 4 1 1 16</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G 16 &lt;=0.125 16 8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H 16 0.25 8 8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I 4 1 8 8</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J 4 1 1 16</span>
<span class="r-in"><span><span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">y</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Calculating mean AMR distance based on columns "amox", "cipr", "gent",</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> "id" and "tobr"</span>
<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>NAs introduced by coercion</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.21703198 0.23337558 0.25599565 0.09765543 -0.57494493 -0.29870099</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] 0.85619568 0.29863042 -0.94854914 -0.13668968</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] -0.55258772 -0.05081832 -0.65116115 -0.10941895 0.20887247 0.11308804</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [7] 0.23423260 0.29283323 0.40187176 0.11308804</span>
<span class="r-in"><span><span class="va">y</span><span class="op">$</span><span class="va">amr_distance</span> <span class="op">&lt;-</span> <span class="fu">mean_amr_distance</span><span class="op">(</span><span class="va">y</span>, <span class="fu">where</span><span class="op">(</span><span class="va">is.mic</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Calculating mean AMR distance based on columns "amox", "cipr", "gent" and</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> "tobr"</span>
<span class="r-in"><span><span class="va">y</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/order.html" class="external-link">order</a></span><span class="op">(</span><span class="va">y</span><span class="op">$</span><span class="va">amr_distance</span><span class="op">)</span>, <span class="op">]</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> id amox cipr gent tobr amr_distance</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I 4 0.0625 &lt;=1 &lt;=0.25 -0.94854914</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E 4 &lt;=0.025 2 1 -0.57494493</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F 4 0.5 2 &lt;=0.25 -0.29870099</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J 1 0.25 4 2 -0.13668968</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D 8 1 &lt;=1 2 0.09765543</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 A 2 2 &lt;=1 16 0.21703198</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 1 0.5 4 8 0.23337558</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C 8 2 2 0.5 0.25599565</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H 8 0.5 4 0.5 0.29863042</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G 16 1 4 2 0.85619568</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> id amox cipr gent tobr amr_distance</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 C 1 0.5 8 1 -0.65116115</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 A 1 1 1 4 -0.55258772</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 D 1 1 16 2 -0.10941895</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 1 2 8 2 -0.05081832</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 F 4 1 1 16 0.11308804</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 J 4 1 1 16 0.11308804</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 E 4 0.5 4 16 0.20887247</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 G 16 &lt;=0.125 16 8 0.23423260</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 H 16 0.25 8 8 0.29283323</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 I 4 1 8 8 0.40187176</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
<span class="r-in"><span> <span class="va">y</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
@@ -256,17 +256,17 @@
<span class="r-in"><span><span class="op">}</span></span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> ℹ Calculating mean AMR distance based on columns "amox", "cipr", "gent" and</span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> "tobr"</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> id amox cipr gent tobr amr_distance check_id_C</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 C 8 2 2 0.5 0.25599565 0.00000000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 B 1 0.5 4 8 0.23337558 0.02262008</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 A 2 2 &lt;=1 16 0.21703198 0.03896367</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 H 8 0.5 4 0.5 0.29863042 0.04263477</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 D 8 1 &lt;=1 2 0.09765543 0.15834022</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 J 1 0.25 4 2 -0.13668968 0.39268533</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 F 4 0.5 2 &lt;=0.25 -0.29870099 0.55469664</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 G 16 1 4 2 0.85619568 0.60020002</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 E 4 &lt;=0.025 2 1 -0.57494493 0.83094058</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 I 4 0.0625 &lt;=1 &lt;=0.25 -0.94854914 1.20454480</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> id amox cipr gent tobr amr_distance check_id_C</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 1 C 1 0.5 8 1 -0.65116115 0.00000000</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2 A 1 1 1 4 -0.55258772 0.09857343</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 3 D 1 1 16 2 -0.10941895 0.54174220</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 4 B 1 2 8 2 -0.05081832 0.60034283</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 5 F 4 1 1 16 0.11308804 0.76424920</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 6 J 4 1 1 16 0.11308804 0.76424920</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 7 E 4 0.5 4 16 0.20887247 0.86003362</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 8 G 16 &lt;=0.125 16 8 0.23423260 0.88539375</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 9 H 16 0.25 8 8 0.29283323 0.94399438</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 10 I 4 1 8 8 0.40187176 1.05303291</span>
<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://dplyr.tidyverse.org" class="external-link">"dplyr"</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
<span class="r-in"><span> <span class="co"># support for groups</span></span></span>
<span class="r-in"><span> <span class="va">example_isolates</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>

2
reference/microorganisms.codes.html
View File

@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">

8
reference/microorganisms.html
View File

@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -156,7 +156,8 @@
<li><p><code>gbif_parent</code><br> GBIF identifier of the parent taxon</p></li>
<li><p><code>gbif_renamed_to</code><br> GBIF identifier of the currently valid taxon</p></li>
<li><p><code>source</code><br> Either "GBIF", "LPSN" or "manually added" (see <em>Source</em>)</p></li>
<li><p><code>prevalence</code><br> Prevalence of the microorganism, see <code><a href="as.mo.html">as.mo()</a></code></p></li>
<li><p><code>prevalence</code><br> Prevalence of the microorganism according to Bartlett <em>et al.</em> (2022, <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">doi:10.1099/mic.0.001269</a>
), see <code><a href="mo_matching_score.html">mo_matching_score()</a></code> for the full explanation</p></li>
<li><p><code>snomed</code><br> Systematized Nomenclature of Medicine (SNOMED) code of the microorganism, version of 1 July, 2021 (see <em>Source</em>). Use <code><a href="mo_property.html">mo_snomed()</a></code> to retrieve it quickly, see <code><a href="mo_property.html">mo_property()</a></code>.</p></li>
</ul></div>
<div class="section level2">
@@ -167,7 +168,8 @@
<li><p>GBIF Secretariat (2022). GBIF Backbone Taxonomy. Checklist dataset <a href="https://doi.org/10.15468/39omei" class="external-link">doi:10.15468/39omei</a>
. Accessed from <a href="https://www.gbif.org" class="external-link">https://www.gbif.org</a> on 11 December, 2022.</p></li>
<li><p>Public Health Information Network Vocabulary Access and Distribution System (PHIN VADS). US Edition of SNOMED CT from 1 September 2020. Value Set Name 'Microoganism', OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href="https://phinvads.cdc.gov" class="external-link">https://phinvads.cdc.gov</a></p></li>
<li><p>Grimont <em>et al.</em>. Antigenic Formulae of the Salmonella Serovars, 2007, 9th Edition. WHO Collaborating Centre for Reference and Research on <em>Salmonella</em> (WHOCC-SALM).</p></li>
<li><p>Grimont <em>et al.</em> (2007). Antigenic Formulae of the Salmonella Serovars, 9th Edition. WHO Collaborating Centre for Reference and Research on <em>Salmonella</em> (WHOCC-SALM).</p></li>
<li><p>Bartlett <em>et al.</em> (2022). <strong>A comprehensive list of bacterial pathogens infecting humans</strong> <em>Microbiology</em> 168:001269; <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">doi:10.1099/mic.0.001269</a></p></li>
</ul></div>
<div class="section level2">
<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>

48
reference/mo_matching_score.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -153,8 +153,10 @@
</dl></div>
<div class="section level2">
<h2 id="note">Note<a class="anchor" aria-label="anchor" href="#note"></a></h2>
<p>This algorithm was described in: Berends MS <em>et al.</em> (2022). <strong>AMR: An R Package for Working with Antimicrobial Resistance Data</strong>. <em>Journal of Statistical Software</em>, 104(3), 1-31; <a href="https://doi.org/10.18637/jss.v104.i03" class="external-link">doi:10.18637/jss.v104.i03</a>
<p>This algorithm was originally described in: Berends MS <em>et al.</em> (2022). <strong>AMR: An R Package for Working with Antimicrobial Resistance Data</strong>. <em>Journal of Statistical Software</em>, 104(3), 1-31; <a href="https://doi.org/10.18637/jss.v104.i03" class="external-link">doi:10.18637/jss.v104.i03</a>
.</p>
<p>Later, the work of Bartlett A <em>et al.</em> about bacterial pathogens infecting humans (2022, <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">doi:10.1099/mic.0.001269</a>
) was incorporated.</p>
</div>
<div class="section level2">
<h2 id="matching-score-for-microorganisms">Matching Score for Microorganisms<a class="anchor" aria-label="anchor" href="#matching-score-for-microorganisms"></a></h2>
@@ -168,12 +170,14 @@
<li><p><i>lev</i> is the <a href="https://en.wikipedia.org/wiki/Levenshtein_distance" class="external-link">Levenshtein distance function</a> (counting any insertion as 1, and any deletion or substitution as 2) that is needed to change <i>x</i> into <i>n</i>;</p></li>
<li><p><i>p<sub>n</sub></i> is the human pathogenic prevalence group of <i>n</i>, as described below;</p></li>
<li><p><i>k<sub>n</sub></i> is the taxonomic kingdom of <i>n</i>, set as Bacteria = 1, Fungi = 2, Protozoa = 3, Archaea = 4, others = 5.</p></li>
</ul><p>The grouping into human pathogenic prevalence (\(p\)) is based on experience from several microbiological laboratories in the Netherlands in conjunction with international reports on pathogen prevalence:</p>
<p><strong>Group 1</strong> (most prevalent microorganisms) consists of all microorganisms where the taxonomic class is Gammaproteobacteria or where the taxonomic genus is <em>Enterococcus</em>, <em>Staphylococcus</em> or <em>Streptococcus</em>. This group consequently contains all common Gram-negative bacteria, such as <em>Pseudomonas</em> and <em>Legionella</em> and all species within the order Enterobacterales.</p>
<p><strong>Group 2</strong> consists of all microorganisms where the taxonomic phylum is Pseudomonadota (previously named Proteobacteria), Bacillota (previously named Firmicutes), Actinomycetota (previously named Actinobacteria) or Sarcomastigophora, or where the taxonomic genus is <em>Absidia</em>, <em>Acanthamoeba</em>, <em>Acholeplasma</em>, <em>Acremonium</em>, <em>Actinotignum</em>, <em>Aedes</em>, <em>Alistipes</em>, <em>Alloprevotella</em>, <em>Alternaria</em>, <em>Amoeba</em>, <em>Anaerosalibacter</em>, <em>Ancylostoma</em>, <em>Angiostrongylus</em>, <em>Anisakis</em>, <em>Anopheles</em>, <em>Apophysomyces</em>, <em>Arachnia</em>, <em>Aspergillus</em>, <em>Aureobasidium</em>, <em>Bacteroides</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Bergeyella</em>, <em>Blastocystis</em>, <em>Blastomyces</em>, <em>Borrelia</em>, <em>Brachyspira</em>, <em>Branhamella</em>, <em>Butyricimonas</em>, <em>Candida</em>, <em>Capillaria</em>, <em>Capnocytophaga</em>, <em>Catabacter</em>, <em>Cetobacterium</em>, <em>Chaetomium</em>, <em>Chlamydia</em>, <em>Chlamydophila</em>, <em>Christensenella</em>, <em>Chryseobacterium</em>, <em>Chrysonilia</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Conidiobolus</em>, <em>Contracaecum</em>, <em>Cordylobia</em>, <em>Cryptococcus</em>, <em>Curvularia</em>, <em>Deinococcus</em>, <em>Demodex</em>, <em>Dermatobia</em>, <em>Dientamoeba</em>, <em>Diphyllobothrium</em>, <em>Dirofilaria</em>, <em>Dysgonomonas</em>, <em>Echinostoma</em>, <em>Elizabethkingia</em>, <em>Empedobacter</em>, <em>Entamoeba</em>, <em>Enterobius</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Fasciola</em>, <em>Flavobacterium</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Fusobacterium</em>, <em>Giardia</em>, <em>Haloarcula</em>, <em>Halobacterium</em>, <em>Halococcus</em>, <em>Hendersonula</em>, <em>Heterophyes</em>, <em>Histomonas</em>, <em>Histoplasma</em>, <em>Hymenolepis</em>, <em>Hypomyces</em>, <em>Hysterothylacium</em>, <em>Leishmania</em>, <em>Lelliottia</em>, <em>Leptosphaeria</em>, <em>Leptotrichia</em>, <em>Lucilia</em>, <em>Lumbricus</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Metagonimus</em>, <em>Meyerozyma</em>, <em>Microsporidium</em>, <em>Microsporum</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Mycoplasma</em>, <em>Myroides</em>, <em>Necator</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Odoribacter</em>, <em>Oesophagostomum</em>, <em>Oidiodendron</em>, <em>Opisthorchis</em>, <em>Ornithobacterium</em>, <em>Parabacteroides</em>, <em>Pediculus</em>, <em>Pedobacter</em>, <em>Phlebotomus</em>, <em>Phocaeicola</em>, <em>Phocanema</em>, <em>Phoma</em>, <em>Pichia</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Pneumocystis</em>, <em>Porphyromonas</em>, <em>Prevotella</em>, <em>Pseudallescheria</em>, <em>Pseudoterranova</em>, <em>Pulex</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Riemerella</em>, <em>Saccharomyces</em>, <em>Sarcoptes</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Sphingobacterium</em>, <em>Spirometra</em>, <em>Spiroplasma</em>, <em>Sporobolomyces</em>, <em>Stachybotrys</em>, <em>Streptobacillus</em>, <em>Strongyloides</em>, <em>Syngamus</em>, <em>Taenia</em>, <em>Tannerella</em>, <em>Tenacibaculum</em>, <em>Terrimonas</em>, <em>Toxocara</em>, <em>Treponema</em>, <em>Trichinella</em>, <em>Trichobilharzia</em>, <em>Trichoderma</em>, <em>Trichomonas</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Trichostrongylus</em>, <em>Trichuris</em>, <em>Tritirachium</em>, <em>Trombicula</em>, <em>Trypanosoma</em>, <em>Tunga</em>, <em>Ureaplasma</em>, <em>Victivallis</em>, <em>Wautersiella</em>, <em>Weeksella</em> or <em>Wuchereria</em>.</p>
<p><strong>Group 3</strong> consists of all other microorganisms.</p>
<p>All characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.079\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
</ul><p>The grouping into human pathogenic prevalence (\(p\)) is based on recent work from Bartlett <em>et al.</em> (2022, <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">doi:10.1099/mic.0.001269</a>
) who extensively studied medical-scientific literature to categorise all bacterial species into these groups:</p><ul><li><p><strong>Established</strong>, if a taxonomic species has infected at least three persons in three or more references. These records have <code>prevalence = 1.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
<li><p><strong>Putative</strong>, if a taxonomic species has fewer than three known cases. These records have <code>prevalence = 2.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
</ul><p>Furthermore,</p><ul><li><p>Any <em>other</em> bacterial genus, species or subspecies of which the genus is present in the two aforementioned groups, has <code>prevalence = 2.5</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
<li><p>Any <em>non-bacterial</em> genus, species or subspecies of which the genus is present in the following list, also has <code>prevalence = 2.5</code> in the <a href="microorganisms.html">microorganisms</a> data set: <em>Absidia</em>, <em>Acanthamoeba</em>, <em>Acremonium</em>, <em>Aedes</em>, <em>Alternaria</em>, <em>Amoeba</em>, <em>Ancylostoma</em>, <em>Angiostrongylus</em>, <em>Anisakis</em>, <em>Anopheles</em>, <em>Apophysomyces</em>, <em>Aspergillus</em>, <em>Aureobasidium</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Blastocystis</em>, <em>Blastomyces</em>, <em>Candida</em>, <em>Capillaria</em>, <em>Chaetomium</em>, <em>Chrysonilia</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Conidiobolus</em>, <em>Contracaecum</em>, <em>Cordylobia</em>, <em>Cryptococcus</em>, <em>Curvularia</em>, <em>Demodex</em>, <em>Dermatobia</em>, <em>Dientamoeba</em>, <em>Diphyllobothrium</em>, <em>Dirofilaria</em>, <em>Echinostoma</em>, <em>Entamoeba</em>, <em>Enterobius</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Fasciola</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Giardia</em>, <em>Haloarcula</em>, <em>Halobacterium</em>, <em>Halococcus</em>, <em>Hendersonula</em>, <em>Heterophyes</em>, <em>Histomonas</em>, <em>Histoplasma</em>, <em>Hymenolepis</em>, <em>Hypomyces</em>, <em>Hysterothylacium</em>, <em>Leishmania</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Metagonimus</em>, <em>Meyerozyma</em>, <em>Microsporidium</em>, <em>Microsporum</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Necator</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Oesophagostomum</em>, <em>Oidiodendron</em>, <em>Opisthorchis</em>, <em>Pediculus</em>, <em>Phlebotomus</em>, <em>Phoma</em>, <em>Pichia</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Pneumocystis</em>, <em>Pseudallescheria</em>, <em>Pseudoterranova</em>, <em>Pulex</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Saccharomyces</em>, <em>Sarcoptes</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Spirometra</em>, <em>Sporobolomyces</em>, <em>Stachybotrys</em>, <em>Strongyloides</em>, <em>Syngamus</em>, <em>Taenia</em>, <em>Toxocara</em>, <em>Trichinella</em>, <em>Trichobilharzia</em>, <em>Trichoderma</em>, <em>Trichomonas</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Trichostrongylus</em>, <em>Trichuris</em>, <em>Tritirachium</em>, <em>Trombicula</em>, <em>Trypanosoma</em>, <em>Tunga</em> or <em>Wuchereria</em>.</p></li>
<li><p>All other records have <code>prevalence = 3.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
</ul><p>When calculating the matching score, all characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.095\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
</div>
<div class="section level2">
<h2 id="reference-data-publicly-available">Reference Data Publicly Available<a class="anchor" aria-label="anchor" href="#reference-data-publicly-available"></a></h2>
@@ -193,31 +197,31 @@
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] B_ESCHR_COLI</span>
<span class="r-in"><span><span class="fu"><a href="as.mo.html">mo_uncertainties</a></span><span class="op">(</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Matching scores are based on the resemblance between the input and the full</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> taxonomic name, and the pathogenicity in humans. See ?mo_matching_score.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> taxonomic name, and the pathogenicity in humans according to Bartlett et</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> al. (2022). See ?mo_matching_score.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> --------------------------------------------------------------------------------</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> "K. pneumoniae" -&gt; Klebsiella pneumoniae (B_KLBSL_PNMN, 0.786)</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Based on input "K pneumoniae"</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Also matched: Klebsiella pneumoniae ozaenae (0.707), Klebsiella</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> pneumoniae pneumoniae (0.688), Klebsiella pneumoniae rhinoscleromatis</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.658), Kosakonia pseudosacchari (0.542), Kalamiella piersonii</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.525), Kangiella profundi (0.500), Klebsiella pasteurii (0.500),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Klebsiella planticola (0.500), Kushneria pakistanensis (0.500),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kushneria phosphatilytica (0.500), Kushneria phyllosphaerae (0.500),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kroppenstedtia pulmonis (0.304), Kibdelosporangium phytohabitans</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.282), Kitasatospora putterlickiae (0.269), Kibdelosporangium</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> philippinense (0.266), Kitasatospora psammotica (0.260), Kangsaoukella</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> pontilimi (0.250), Keratinibaculum paraultunense (0.250),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kibdelosporangium persicum (0.250), Kingella potus (0.250), Kitasatoa</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> purpurea (0.250), Kitasatospora paracochleata (0.250), Kitasatospora</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> paracochleatus (0.250), Kitasatospora paranensis (0.250) and</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kitasatospora phosalacinea (0.250) [showing first 25]</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.658), Klebsiella pasteurii (0.500), Klebsiella planticola (0.500),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kingella potus (0.250), Kosakonia pseudosacchari (0.217),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kroppenstedtia pulmonis (0.203), Kaistella palustris (0.200), Kocuria</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> palustris (0.200), Kocuria pelophila (0.200), Kocuria polaris (0.200),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kibdelosporangium phytohabitans (0.188), Kitasatospora putterlickiae</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.179), Kibdelosporangium philippinense (0.177), Kalamiella piersonii</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.175), Kitasatospora psammotica (0.174), Kallotenue papyrolyticum</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (0.167), Kangiella profundi (0.167), Kangsaoukella pontilimi (0.167),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Katagnymene pelagic (0.167), Keratinibaculum paraultunense (0.167),</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kibdelosporangium persicum (0.167), Kitasatoa purpurea (0.167) and</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Kitasatospora paracochleata (0.167) [showing first 25]</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="fu">mo_matching_score</span><span class="op">(</span></span></span>
<span class="r-in"><span> x <span class="op">=</span> <span class="st">"E. coli"</span>,</span></span>
<span class="r-in"><span> n <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Escherichia coli"</span>, <span class="st">"Entamoeba coli"</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.68750000 0.07936508</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.6875000 0.0952381</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>

17
reference/mo_property.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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@@ -428,12 +428,14 @@
<li><p><i>lev</i> is the <a href="https://en.wikipedia.org/wiki/Levenshtein_distance" class="external-link">Levenshtein distance function</a> (counting any insertion as 1, and any deletion or substitution as 2) that is needed to change <i>x</i> into <i>n</i>;</p></li>
<li><p><i>p<sub>n</sub></i> is the human pathogenic prevalence group of <i>n</i>, as described below;</p></li>
<li><p><i>k<sub>n</sub></i> is the taxonomic kingdom of <i>n</i>, set as Bacteria = 1, Fungi = 2, Protozoa = 3, Archaea = 4, others = 5.</p></li>
</ul><p>The grouping into human pathogenic prevalence (\(p\)) is based on experience from several microbiological laboratories in the Netherlands in conjunction with international reports on pathogen prevalence:</p>
<p><strong>Group 1</strong> (most prevalent microorganisms) consists of all microorganisms where the taxonomic class is Gammaproteobacteria or where the taxonomic genus is <em>Enterococcus</em>, <em>Staphylococcus</em> or <em>Streptococcus</em>. This group consequently contains all common Gram-negative bacteria, such as <em>Pseudomonas</em> and <em>Legionella</em> and all species within the order Enterobacterales.</p>
<p><strong>Group 2</strong> consists of all microorganisms where the taxonomic phylum is Pseudomonadota (previously named Proteobacteria), Bacillota (previously named Firmicutes), Actinomycetota (previously named Actinobacteria) or Sarcomastigophora, or where the taxonomic genus is <em>Absidia</em>, <em>Acanthamoeba</em>, <em>Acholeplasma</em>, <em>Acremonium</em>, <em>Actinotignum</em>, <em>Aedes</em>, <em>Alistipes</em>, <em>Alloprevotella</em>, <em>Alternaria</em>, <em>Amoeba</em>, <em>Anaerosalibacter</em>, <em>Ancylostoma</em>, <em>Angiostrongylus</em>, <em>Anisakis</em>, <em>Anopheles</em>, <em>Apophysomyces</em>, <em>Arachnia</em>, <em>Aspergillus</em>, <em>Aureobasidium</em>, <em>Bacteroides</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Bergeyella</em>, <em>Blastocystis</em>, <em>Blastomyces</em>, <em>Borrelia</em>, <em>Brachyspira</em>, <em>Branhamella</em>, <em>Butyricimonas</em>, <em>Candida</em>, <em>Capillaria</em>, <em>Capnocytophaga</em>, <em>Catabacter</em>, <em>Cetobacterium</em>, <em>Chaetomium</em>, <em>Chlamydia</em>, <em>Chlamydophila</em>, <em>Christensenella</em>, <em>Chryseobacterium</em>, <em>Chrysonilia</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Conidiobolus</em>, <em>Contracaecum</em>, <em>Cordylobia</em>, <em>Cryptococcus</em>, <em>Curvularia</em>, <em>Deinococcus</em>, <em>Demodex</em>, <em>Dermatobia</em>, <em>Dientamoeba</em>, <em>Diphyllobothrium</em>, <em>Dirofilaria</em>, <em>Dysgonomonas</em>, <em>Echinostoma</em>, <em>Elizabethkingia</em>, <em>Empedobacter</em>, <em>Entamoeba</em>, <em>Enterobius</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Fasciola</em>, <em>Flavobacterium</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Fusobacterium</em>, <em>Giardia</em>, <em>Haloarcula</em>, <em>Halobacterium</em>, <em>Halococcus</em>, <em>Hendersonula</em>, <em>Heterophyes</em>, <em>Histomonas</em>, <em>Histoplasma</em>, <em>Hymenolepis</em>, <em>Hypomyces</em>, <em>Hysterothylacium</em>, <em>Leishmania</em>, <em>Lelliottia</em>, <em>Leptosphaeria</em>, <em>Leptotrichia</em>, <em>Lucilia</em>, <em>Lumbricus</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Metagonimus</em>, <em>Meyerozyma</em>, <em>Microsporidium</em>, <em>Microsporum</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Mycoplasma</em>, <em>Myroides</em>, <em>Necator</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Odoribacter</em>, <em>Oesophagostomum</em>, <em>Oidiodendron</em>, <em>Opisthorchis</em>, <em>Ornithobacterium</em>, <em>Parabacteroides</em>, <em>Pediculus</em>, <em>Pedobacter</em>, <em>Phlebotomus</em>, <em>Phocaeicola</em>, <em>Phocanema</em>, <em>Phoma</em>, <em>Pichia</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Pneumocystis</em>, <em>Porphyromonas</em>, <em>Prevotella</em>, <em>Pseudallescheria</em>, <em>Pseudoterranova</em>, <em>Pulex</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Riemerella</em>, <em>Saccharomyces</em>, <em>Sarcoptes</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Sphingobacterium</em>, <em>Spirometra</em>, <em>Spiroplasma</em>, <em>Sporobolomyces</em>, <em>Stachybotrys</em>, <em>Streptobacillus</em>, <em>Strongyloides</em>, <em>Syngamus</em>, <em>Taenia</em>, <em>Tannerella</em>, <em>Tenacibaculum</em>, <em>Terrimonas</em>, <em>Toxocara</em>, <em>Treponema</em>, <em>Trichinella</em>, <em>Trichobilharzia</em>, <em>Trichoderma</em>, <em>Trichomonas</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Trichostrongylus</em>, <em>Trichuris</em>, <em>Tritirachium</em>, <em>Trombicula</em>, <em>Trypanosoma</em>, <em>Tunga</em>, <em>Ureaplasma</em>, <em>Victivallis</em>, <em>Wautersiella</em>, <em>Weeksella</em> or <em>Wuchereria</em>.</p>
<p><strong>Group 3</strong> consists of all other microorganisms.</p>
<p>All characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.079\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
</ul><p>The grouping into human pathogenic prevalence (\(p\)) is based on recent work from Bartlett <em>et al.</em> (2022, <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">doi:10.1099/mic.0.001269</a>
) who extensively studied medical-scientific literature to categorise all bacterial species into these groups:</p><ul><li><p><strong>Established</strong>, if a taxonomic species has infected at least three persons in three or more references. These records have <code>prevalence = 1.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
<li><p><strong>Putative</strong>, if a taxonomic species has fewer than three known cases. These records have <code>prevalence = 2.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
</ul><p>Furthermore,</p><ul><li><p>Any <em>other</em> bacterial genus, species or subspecies of which the genus is present in the two aforementioned groups, has <code>prevalence = 2.5</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
<li><p>Any <em>non-bacterial</em> genus, species or subspecies of which the genus is present in the following list, also has <code>prevalence = 2.5</code> in the <a href="microorganisms.html">microorganisms</a> data set: <em>Absidia</em>, <em>Acanthamoeba</em>, <em>Acremonium</em>, <em>Aedes</em>, <em>Alternaria</em>, <em>Amoeba</em>, <em>Ancylostoma</em>, <em>Angiostrongylus</em>, <em>Anisakis</em>, <em>Anopheles</em>, <em>Apophysomyces</em>, <em>Aspergillus</em>, <em>Aureobasidium</em>, <em>Basidiobolus</em>, <em>Beauveria</em>, <em>Blastocystis</em>, <em>Blastomyces</em>, <em>Candida</em>, <em>Capillaria</em>, <em>Chaetomium</em>, <em>Chrysonilia</em>, <em>Cladophialophora</em>, <em>Cladosporium</em>, <em>Conidiobolus</em>, <em>Contracaecum</em>, <em>Cordylobia</em>, <em>Cryptococcus</em>, <em>Curvularia</em>, <em>Demodex</em>, <em>Dermatobia</em>, <em>Dientamoeba</em>, <em>Diphyllobothrium</em>, <em>Dirofilaria</em>, <em>Echinostoma</em>, <em>Entamoeba</em>, <em>Enterobius</em>, <em>Exophiala</em>, <em>Exserohilum</em>, <em>Fasciola</em>, <em>Fonsecaea</em>, <em>Fusarium</em>, <em>Giardia</em>, <em>Haloarcula</em>, <em>Halobacterium</em>, <em>Halococcus</em>, <em>Hendersonula</em>, <em>Heterophyes</em>, <em>Histomonas</em>, <em>Histoplasma</em>, <em>Hymenolepis</em>, <em>Hypomyces</em>, <em>Hysterothylacium</em>, <em>Leishmania</em>, <em>Malassezia</em>, <em>Malbranchea</em>, <em>Metagonimus</em>, <em>Meyerozyma</em>, <em>Microsporidium</em>, <em>Microsporum</em>, <em>Mortierella</em>, <em>Mucor</em>, <em>Mycocentrospora</em>, <em>Necator</em>, <em>Nectria</em>, <em>Ochroconis</em>, <em>Oesophagostomum</em>, <em>Oidiodendron</em>, <em>Opisthorchis</em>, <em>Pediculus</em>, <em>Phlebotomus</em>, <em>Phoma</em>, <em>Pichia</em>, <em>Piedraia</em>, <em>Pithomyces</em>, <em>Pityrosporum</em>, <em>Pneumocystis</em>, <em>Pseudallescheria</em>, <em>Pseudoterranova</em>, <em>Pulex</em>, <em>Rhizomucor</em>, <em>Rhizopus</em>, <em>Rhodotorula</em>, <em>Saccharomyces</em>, <em>Sarcoptes</em>, <em>Scolecobasidium</em>, <em>Scopulariopsis</em>, <em>Scytalidium</em>, <em>Spirometra</em>, <em>Sporobolomyces</em>, <em>Stachybotrys</em>, <em>Strongyloides</em>, <em>Syngamus</em>, <em>Taenia</em>, <em>Toxocara</em>, <em>Trichinella</em>, <em>Trichobilharzia</em>, <em>Trichoderma</em>, <em>Trichomonas</em>, <em>Trichophyton</em>, <em>Trichosporon</em>, <em>Trichostrongylus</em>, <em>Trichuris</em>, <em>Tritirachium</em>, <em>Trombicula</em>, <em>Trypanosoma</em>, <em>Tunga</em> or <em>Wuchereria</em>.</p></li>
<li><p>All other records have <code>prevalence = 3.0</code> in the <a href="microorganisms.html">microorganisms</a> data set.</p></li>
</ul><p>When calculating the matching score, all characters in \(x\) and \(n\) are ignored that are other than A-Z, a-z, 0-9, spaces and parentheses.</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned. This will lead to the effect that e.g., <code>"E. coli"</code> will return the microbial ID of <em>Escherichia coli</em> (\(m = 0.688\), a highly prevalent microorganism found in humans) and not <em>Entamoeba coli</em> (\(m = 0.095\), a less prevalent microorganism in humans), although the latter would alphabetically come first.</p>
</div>
<div class="section level2">
<h2 id="source">Source<a class="anchor" aria-label="anchor" href="#source"></a></h2>
@@ -450,6 +452,7 @@
<li><p>GBIF Secretariat (2022). GBIF Backbone Taxonomy. Checklist dataset <a href="https://doi.org/10.15468/39omei" class="external-link">doi:10.15468/39omei</a>
. Accessed from <a href="https://www.gbif.org" class="external-link">https://www.gbif.org</a> on 11 December, 2022.</p></li>
<li><p>Public Health Information Network Vocabulary Access and Distribution System (PHIN VADS). US Edition of SNOMED CT from 1 September 2020. Value Set Name 'Microoganism', OID 2.16.840.1.114222.4.11.1009 (v12). URL: <a href="https://phinvads.cdc.gov" class="external-link">https://phinvads.cdc.gov</a></p></li>
<li><p>Bartlett A <em>et al.</em> (2022). <strong>A comprehensive list of bacterial pathogens infecting humans</strong> <em>Microbiology</em> 168:001269; <a href="https://doi.org/10.1099/mic.0.001269" class="external-link">doi:10.1099/mic.0.001269</a></p></li>
</ol></div>
<div class="section level2">
<h2 id="reference-data-publicly-available">Reference Data Publicly Available<a class="anchor" aria-label="anchor" href="#reference-data-publicly-available"></a></h2>

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@@ -12,7 +12,7 @@ This is the fastest way to have your organisation (or analysis) specific codes p
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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reference/proportion.html
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@@ -12,7 +12,7 @@ resistance() should be used to calculate resistance, susceptibility() should be
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reference/random.html
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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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@@ -183,43 +183,43 @@
<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">random_mic</span><span class="op">(</span><span class="fl">25</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mic'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] &lt;=0.001 32 0.005 0.25 0.5 128 8 0.0625 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [10] 0.0625 64 8 4 0.025 0.25 32 0.5 &lt;=0.001</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [19] 256 0.0625 4 0.01 0.01 0.025 1 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.01 0.025 0.025 32 128 0.125 &lt;=0.002 0.0625 0.01 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [10] 0.0625 16 0.005 0.025 &gt;=256 4 16 0.005 0.5 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [19] 0.025 128 128 &lt;=0.002 0.005 &lt;=0.002 0.5 </span>
<span class="r-in"><span><span class="fu">random_disk</span><span class="op">(</span><span class="fl">25</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'disk'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 29 20 39 43 38 39 11 22 49 47 44 14 10 36 7 14 44 7 24 6 32 47 28 7 27</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 23 27 46 28 15 9 37 30 20 26 29 16 40 45 16 36 12 50 15 50 21 6 26 48 49</span>
<span class="r-in"><span><span class="fu">random_rsi</span><span class="op">(</span><span class="fl">25</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'rsi'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] I S I R R R R S I R S S I R I I S S R I R S S I R</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] R R R R S R S R S R S I R I I I R S R R S S S R R</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># \donttest{</span></span></span>
<span class="r-in"><span><span class="co"># make the random generation more realistic by setting a bug and/or drug:</span></span></span>
<span class="r-in"><span><span class="fu">random_mic</span><span class="op">(</span><span class="fl">25</span>, <span class="st">"Klebsiella pneumoniae"</span><span class="op">)</span> <span class="co"># range 0.0625-64</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mic'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 16 16 0.025 4 1 4 64 0.005 2 64 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [11] 2 0.002 0.025 0.001 0.0625 64 0.5 8 0.025 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [21] 2 0.01 16 4 0.025 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.002 0.5 4 1 1 0.002 0.0625 0.01 0.025 4 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [11] 0.025 0.0625 0.25 0.125 0.025 0.002 0.002 0.01 0.01 0.001 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [21] 0.0625 0.002 8 64 0.125 </span>
<span class="r-in"><span><span class="fu">random_mic</span><span class="op">(</span><span class="fl">25</span>, <span class="st">"Klebsiella pneumoniae"</span>, <span class="st">"meropenem"</span><span class="op">)</span> <span class="co"># range 0.0625-16</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mic'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 4 2 0.5 1 0.5 &lt;=0.25 &lt;=0.25 2 0.5 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [11] 4 &lt;=0.25 4 &gt;=16 0.5 0.5 0.5 2 &gt;=16 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [21] &lt;=0.25 &lt;=0.25 &lt;=0.25 &gt;=16 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 8 1 4 1 32 32 4 16 &lt;=0.5 8 16 2 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [13] &lt;=0.5 1 2 2 1 1 1 1 16 1 2 8 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [25] 1 </span>
<span class="r-in"><span><span class="fu">random_mic</span><span class="op">(</span><span class="fl">25</span>, <span class="st">"Streptococcus pneumoniae"</span>, <span class="st">"meropenem"</span><span class="op">)</span> <span class="co"># range 0.0625-4</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'mic'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1 0.25 0.5 0.125 0.0625 0.125 2 &gt;=4 0.5 0.0625</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [11] &gt;=4 &gt;=4 0.025 0.025 0.025 2 0.0625 0.025 0.125 0.025 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [21] 1 0.025 0.125 0.25 0.0625</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.5 1 1 0.0625 0.125 0.5 0.25 4 2 1 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [11] 0.5 0.25 1 0.5 4 0.25 0.0625 0.25 1 0.25 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [21] 4 1 0.25 1 2 </span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="fu">random_disk</span><span class="op">(</span><span class="fl">25</span>, <span class="st">"Klebsiella pneumoniae"</span><span class="op">)</span> <span class="co"># range 8-50</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'disk'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 43 40 12 49 41 42 44 39 47 30 11 33 9 45 36 30 50 19 50 33 40 18 50 45 38</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 31 41 17 26 46 32 8 44 42 45 41 43 43 19 13 30 50 40 28 39 28 40 8 17 20</span>
<span class="r-in"><span><span class="fu">random_disk</span><span class="op">(</span><span class="fl">25</span>, <span class="st">"Klebsiella pneumoniae"</span>, <span class="st">"ampicillin"</span><span class="op">)</span> <span class="co"># range 11-17</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'disk'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 14 12 14 17 11 14 12 12 17 11 13 16 16 11 17 15 15 13 14 11 13 16 12 14 12</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 16 17 14 12 12 17 12 14 14 13 12 14 12 16 16 12 12 13 16 14 13 16 11 15 13</span>
<span class="r-in"><span><span class="fu">random_disk</span><span class="op">(</span><span class="fl">25</span>, <span class="st">"Streptococcus pneumoniae"</span>, <span class="st">"ampicillin"</span><span class="op">)</span> <span class="co"># range 12-27</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Class 'disk'</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 26 25 22 25 21 25 20 16 21 17 26 24 24 22 24 21 17 16 15 25 20 22 18 16 27</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 22 27 18 27 22 23 25 19 27 22 23 22 16 20 16 17 27 17 27 23 19 19 18 18 15</span>
<span class="r-in"><span><span class="co"># }</span></span></span>
</code></pre></div>
</div>

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@@ -10,7 +10,7 @@
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
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reference/skewness.html
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@@ -12,7 +12,7 @@ When negative ('left-skewed'): the left tail is longer; the mass of the distribu
<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9065</small>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -171,7 +171,7 @@ When negative ('left-skewed'): the left tail is longer; the mass of the distribu
<div class="section level2">
<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">skewness</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Uniform.html" class="external-link">runif</a></span><span class="op">(</span><span class="fl">1000</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.005388566</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.01432636</span>
</code></pre></div>
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9064</small>
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