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ab_info, other bug fixes
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@ -192,7 +192,7 @@
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<h1>Benchmarks</h1>
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<h4 class="author">Matthijs S. Berends</h4>
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<h4 class="date">12 May 2019</h4>
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<h4 class="date">16 May 2019</h4>
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<div class="hidden name"><code>benchmarks.Rmd</code></div>
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@ -217,14 +217,14 @@
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<a class="sourceLine" id="cb2-8" title="8"> <span class="dt">times =</span> <span class="dv">10</span>)</a>
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<a class="sourceLine" id="cb2-9" title="9"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(S.aureus, <span class="dt">unit =</span> <span class="st">"ms"</span>, <span class="dt">signif =</span> <span class="dv">2</span>)</a>
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<a class="sourceLine" id="cb2-10" title="10"><span class="co">#> Unit: milliseconds</span></a>
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<a class="sourceLine" id="cb2-11" title="11"><span class="co">#> expr min lq mean median uq max neval</span></a>
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<a class="sourceLine" id="cb2-12" title="12"><span class="co">#> as.mo("sau") 17.0 17.0 22.0 18 18 65 10</span></a>
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<a class="sourceLine" id="cb2-13" title="13"><span class="co">#> as.mo("stau") 47.0 47.0 52.0 47 48 92 10</span></a>
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<a class="sourceLine" id="cb2-14" title="14"><span class="co">#> as.mo("staaur") 17.0 18.0 18.0 18 18 18 10</span></a>
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<a class="sourceLine" id="cb2-15" title="15"><span class="co">#> as.mo("STAAUR") 17.0 18.0 32.0 18 62 77 10</span></a>
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<a class="sourceLine" id="cb2-16" title="16"><span class="co">#> as.mo("S. aureus") 28.0 28.0 37.0 28 30 72 10</span></a>
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<a class="sourceLine" id="cb2-17" title="17"><span class="co">#> as.mo("S. aureus") 28.0 28.0 46.0 29 72 110 10</span></a>
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<a class="sourceLine" id="cb2-18" title="18"><span class="co">#> as.mo("Staphylococcus aureus") 7.9 7.9 8.4 8 8 12 10</span></a></code></pre></div>
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<a class="sourceLine" id="cb2-11" title="11"><span class="co">#> expr min lq mean median uq max neval</span></a>
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<a class="sourceLine" id="cb2-12" title="12"><span class="co">#> as.mo("sau") 17.0 18 26 18.0 18.0 65 10</span></a>
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<a class="sourceLine" id="cb2-13" title="13"><span class="co">#> as.mo("stau") 47.0 47 52 48.0 49.0 92 10</span></a>
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<a class="sourceLine" id="cb2-14" title="14"><span class="co">#> as.mo("staaur") 17.0 18 22 18.0 18.0 62 10</span></a>
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<a class="sourceLine" id="cb2-15" title="15"><span class="co">#> as.mo("STAAUR") 18.0 18 24 18.0 18.0 78 10</span></a>
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<a class="sourceLine" id="cb2-16" title="16"><span class="co">#> as.mo("S. aureus") 28.0 28 37 28.0 30.0 73 10</span></a>
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<a class="sourceLine" id="cb2-17" title="17"><span class="co">#> as.mo("S. aureus") 28.0 28 46 28.0 72.0 120 10</span></a>
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<a class="sourceLine" id="cb2-18" title="18"><span class="co">#> as.mo("Staphylococcus aureus") 7.9 8 13 8.3 8.5 52 10</span></a></code></pre></div>
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<p>In the table above, all measurements are shown in milliseconds (thousands of seconds). A value of 5 milliseconds means it can determine 200 input values per second. It case of 100 milliseconds, this is only 10 input values per second. The second input is the only one that has to be looked up thoroughly. All the others are known codes (the first one is a WHONET code) or common laboratory codes, or common full organism names like the last one. Full organism names are always preferred.</p>
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<p>To achieve this speed, the <code>as.mo</code> function also takes into account the prevalence of human pathogenic microorganisms. The downside is of course that less prevalent microorganisms will be determined less fast. See this example for the ID of <em>Thermus islandicus</em> (<code>B_THERMS_ISL</code>), a bug probably never found before in humans:</p>
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<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" title="1">T.islandicus <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/microbenchmark/topics/microbenchmark">microbenchmark</a></span>(<span class="kw"><a href="../reference/as.mo.html">as.mo</a></span>(<span class="st">"theisl"</span>),</a>
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@ -236,12 +236,12 @@
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<a class="sourceLine" id="cb3-7" title="7"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(T.islandicus, <span class="dt">unit =</span> <span class="st">"ms"</span>, <span class="dt">signif =</span> <span class="dv">2</span>)</a>
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<a class="sourceLine" id="cb3-8" title="8"><span class="co">#> Unit: milliseconds</span></a>
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<a class="sourceLine" id="cb3-9" title="9"><span class="co">#> expr min lq mean median uq max neval</span></a>
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<a class="sourceLine" id="cb3-10" title="10"><span class="co">#> as.mo("theisl") 470 470 490 480 520 530 10</span></a>
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<a class="sourceLine" id="cb3-11" title="11"><span class="co">#> as.mo("THEISL") 470 520 520 520 520 530 10</span></a>
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<a class="sourceLine" id="cb3-12" title="12"><span class="co">#> as.mo("T. islandicus") 75 76 76 76 76 77 10</span></a>
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<a class="sourceLine" id="cb3-13" title="13"><span class="co">#> as.mo("T. islandicus") 76 76 86 77 79 130 10</span></a>
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<a class="sourceLine" id="cb3-14" title="14"><span class="co">#> as.mo("Thermus islandicus") 74 74 89 75 120 120 10</span></a></code></pre></div>
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<p>That takes 8.2 times as much time on average. A value of 100 milliseconds means it can only determine ~10 different input values per second. We can conclude that looking up arbitrary codes of less prevalent microorganisms is the worst way to go, in terms of calculation performance. Full names (like <em>Thermus islandicus</em>) are almost fast - these are the most probable input from most data sets.</p>
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<a class="sourceLine" id="cb3-10" title="10"><span class="co">#> as.mo("theisl") 470 470 490 470 520 530 10</span></a>
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<a class="sourceLine" id="cb3-11" title="11"><span class="co">#> as.mo("THEISL") 470 470 490 480 520 530 10</span></a>
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<a class="sourceLine" id="cb3-12" title="12"><span class="co">#> as.mo("T. islandicus") 76 76 91 77 120 120 10</span></a>
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<a class="sourceLine" id="cb3-13" title="13"><span class="co">#> as.mo("T. islandicus") 76 76 90 76 120 120 10</span></a>
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<a class="sourceLine" id="cb3-14" title="14"><span class="co">#> as.mo("Thermus islandicus") 74 74 95 81 120 130 10</span></a></code></pre></div>
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<p>That takes 8 times as much time on average. A value of 100 milliseconds means it can only determine ~10 different input values per second. We can conclude that looking up arbitrary codes of less prevalent microorganisms is the worst way to go, in terms of calculation performance. Full names (like <em>Thermus islandicus</em>) are almost fast - these are the most probable input from most data sets.</p>
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<p>In the figure below, we compare <em>Escherichia coli</em> (which is very common) with <em>Prevotella brevis</em> (which is moderately common) and with <em>Thermus islandicus</em> (which is very uncommon):</p>
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<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/graphics/topics/par">par</a></span>(<span class="dt">mar =</span> <span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="dv">5</span>, <span class="dv">16</span>, <span class="dv">4</span>, <span class="dv">2</span>)) <span class="co"># set more space for left margin text (16)</span></a>
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<a class="sourceLine" id="cb4-2" title="2"></a>
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@ -286,9 +286,9 @@
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<a class="sourceLine" id="cb5-23" title="23"> <span class="dt">times =</span> <span class="dv">10</span>)</a>
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<a class="sourceLine" id="cb5-24" title="24"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(run_it, <span class="dt">unit =</span> <span class="st">"ms"</span>, <span class="dt">signif =</span> <span class="dv">3</span>)</a>
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<a class="sourceLine" id="cb5-25" title="25"><span class="co">#> Unit: milliseconds</span></a>
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<a class="sourceLine" id="cb5-26" title="26"><span class="co">#> expr min lq mean median uq max neval</span></a>
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<a class="sourceLine" id="cb5-27" title="27"><span class="co">#> mo_fullname(x) 836 837 893 883 925 1000 10</span></a></code></pre></div>
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<p>So transforming 500,000 values (!!) of 50 unique values only takes 0.88 seconds (882 ms). You only lose time on your unique input values.</p>
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<a class="sourceLine" id="cb5-26" title="26"><span class="co">#> expr min lq mean median uq max neval</span></a>
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<a class="sourceLine" id="cb5-27" title="27"><span class="co">#> mo_fullname(x) 732 811 816 817 819 941 10</span></a></code></pre></div>
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<p>So transforming 500,000 values (!!) of 50 unique values only takes 0.82 seconds (817 ms). You only lose time on your unique input values.</p>
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</div>
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<div id="precalculated-results" class="section level3">
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<h3 class="hasAnchor">
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@ -301,9 +301,9 @@
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<a class="sourceLine" id="cb6-5" title="5"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(run_it, <span class="dt">unit =</span> <span class="st">"ms"</span>, <span class="dt">signif =</span> <span class="dv">3</span>)</a>
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<a class="sourceLine" id="cb6-6" title="6"><span class="co">#> Unit: milliseconds</span></a>
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<a class="sourceLine" id="cb6-7" title="7"><span class="co">#> expr min lq mean median uq max neval</span></a>
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<a class="sourceLine" id="cb6-8" title="8"><span class="co">#> A 12.80 13.10 13.20 13.20 13.20 13.50 10</span></a>
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<a class="sourceLine" id="cb6-9" title="9"><span class="co">#> B 25.20 25.30 30.00 25.60 25.90 69.70 10</span></a>
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<a class="sourceLine" id="cb6-10" title="10"><span class="co">#> C 1.26 1.37 1.58 1.69 1.72 1.73 10</span></a></code></pre></div>
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<a class="sourceLine" id="cb6-8" title="8"><span class="co">#> A 12.80 12.90 13.30 13.30 13.60 14.20 10</span></a>
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<a class="sourceLine" id="cb6-9" title="9"><span class="co">#> B 25.40 25.60 30.70 25.90 27.40 70.80 10</span></a>
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<a class="sourceLine" id="cb6-10" title="10"><span class="co">#> C 1.25 1.36 1.54 1.68 1.69 1.74 10</span></a></code></pre></div>
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<p>So going from <code><a href="../reference/mo_property.html">mo_fullname("Staphylococcus aureus")</a></code> to <code>"Staphylococcus aureus"</code> takes 0.0017 seconds - it doesn’t even start calculating <em>if the result would be the same as the expected resulting value</em>. That goes for all helper functions:</p>
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<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb7-1" title="1">run_it <-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/microbenchmark/topics/microbenchmark">microbenchmark</a></span>(<span class="dt">A =</span> <span class="kw"><a href="../reference/mo_property.html">mo_species</a></span>(<span class="st">"aureus"</span>),</a>
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<a class="sourceLine" id="cb7-2" title="2"> <span class="dt">B =</span> <span class="kw"><a href="../reference/mo_property.html">mo_genus</a></span>(<span class="st">"Staphylococcus"</span>),</a>
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@ -317,14 +317,14 @@
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<a class="sourceLine" id="cb7-10" title="10"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(run_it, <span class="dt">unit =</span> <span class="st">"ms"</span>, <span class="dt">signif =</span> <span class="dv">3</span>)</a>
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<a class="sourceLine" id="cb7-11" title="11"><span class="co">#> Unit: milliseconds</span></a>
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<a class="sourceLine" id="cb7-12" title="12"><span class="co">#> expr min lq mean median uq max neval</span></a>
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<a class="sourceLine" id="cb7-13" title="13"><span class="co">#> A 0.429 0.441 0.486 0.491 0.510 0.562 10</span></a>
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<a class="sourceLine" id="cb7-14" title="14"><span class="co">#> B 0.437 0.521 0.555 0.577 0.596 0.651 10</span></a>
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<a class="sourceLine" id="cb7-15" title="15"><span class="co">#> C 1.300 1.460 1.730 1.890 1.900 1.960 10</span></a>
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<a class="sourceLine" id="cb7-16" title="16"><span class="co">#> D 0.444 0.531 0.565 0.563 0.619 0.704 10</span></a>
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<a class="sourceLine" id="cb7-17" title="17"><span class="co">#> E 0.399 0.431 0.471 0.471 0.508 0.535 10</span></a>
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<a class="sourceLine" id="cb7-18" title="18"><span class="co">#> F 0.344 0.396 0.432 0.445 0.471 0.500 10</span></a>
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<a class="sourceLine" id="cb7-19" title="19"><span class="co">#> G 0.390 0.397 0.464 0.465 0.492 0.624 10</span></a>
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<a class="sourceLine" id="cb7-20" title="20"><span class="co">#> H 0.201 0.222 0.291 0.303 0.339 0.423 10</span></a></code></pre></div>
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<a class="sourceLine" id="cb7-13" title="13"><span class="co">#> A 0.403 0.504 0.523 0.531 0.563 0.627 10</span></a>
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<a class="sourceLine" id="cb7-14" title="14"><span class="co">#> B 0.431 0.542 0.620 0.640 0.685 0.785 10</span></a>
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<a class="sourceLine" id="cb7-15" title="15"><span class="co">#> C 1.310 1.450 1.640 1.650 1.880 1.980 10</span></a>
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<a class="sourceLine" id="cb7-16" title="16"><span class="co">#> D 0.427 0.468 0.599 0.566 0.597 0.943 10</span></a>
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<a class="sourceLine" id="cb7-17" title="17"><span class="co">#> E 0.406 0.510 0.542 0.526 0.593 0.715 10</span></a>
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<a class="sourceLine" id="cb7-18" title="18"><span class="co">#> F 0.358 0.422 0.492 0.481 0.511 0.678 10</span></a>
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<a class="sourceLine" id="cb7-19" title="19"><span class="co">#> G 0.349 0.425 0.487 0.485 0.512 0.661 10</span></a>
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<a class="sourceLine" id="cb7-20" title="20"><span class="co">#> H 0.204 0.292 0.360 0.341 0.434 0.528 10</span></a></code></pre></div>
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<p>Of course, when running <code><a href="../reference/mo_property.html">mo_phylum("Firmicutes")</a></code> the function has zero knowledge about the actual microorganism, namely <em>S. aureus</em>. But since the result would be <code>"Firmicutes"</code> too, there is no point in calculating the result. And because this package ‘knows’ all phyla of all known bacteria (according to the Catalogue of Life), it can just return the initial value immediately.</p>
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</div>
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<div id="results-in-other-languages" class="section level3">
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@ -351,13 +351,13 @@
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<a class="sourceLine" id="cb8-18" title="18"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/print">print</a></span>(run_it, <span class="dt">unit =</span> <span class="st">"ms"</span>, <span class="dt">signif =</span> <span class="dv">4</span>)</a>
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<a class="sourceLine" id="cb8-19" title="19"><span class="co">#> Unit: milliseconds</span></a>
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<a class="sourceLine" id="cb8-20" title="20"><span class="co">#> expr min lq mean median uq max neval</span></a>
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<a class="sourceLine" id="cb8-21" title="21"><span class="co">#> en 18.01 18.11 18.30 18.27 18.35 18.78 10</span></a>
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<a class="sourceLine" id="cb8-22" title="22"><span class="co">#> de 22.91 23.00 27.53 23.03 23.28 67.49 10</span></a>
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<a class="sourceLine" id="cb8-23" title="23"><span class="co">#> nl 35.30 35.42 44.34 35.49 35.90 79.60 10</span></a>
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<a class="sourceLine" id="cb8-24" title="24"><span class="co">#> es 22.98 23.02 23.18 23.09 23.31 23.58 10</span></a>
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<a class="sourceLine" id="cb8-25" title="25"><span class="co">#> it 22.82 22.89 23.02 22.95 23.19 23.29 10</span></a>
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<a class="sourceLine" id="cb8-26" title="26"><span class="co">#> fr 22.95 23.05 23.08 23.08 23.10 23.36 10</span></a>
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<a class="sourceLine" id="cb8-27" title="27"><span class="co">#> pt 22.99 23.06 32.00 23.16 23.32 67.65 10</span></a></code></pre></div>
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<a class="sourceLine" id="cb8-21" title="21"><span class="co">#> en 18.16 18.21 18.27 18.23 18.25 18.53 10</span></a>
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<a class="sourceLine" id="cb8-22" title="22"><span class="co">#> de 23.02 23.12 23.25 23.19 23.40 23.62 10</span></a>
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<a class="sourceLine" id="cb8-23" title="23"><span class="co">#> nl 35.25 35.46 40.22 35.93 36.49 79.63 10</span></a>
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<a class="sourceLine" id="cb8-24" title="24"><span class="co">#> es 22.97 23.07 27.79 23.34 23.69 68.06 10</span></a>
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<a class="sourceLine" id="cb8-25" title="25"><span class="co">#> it 22.91 22.91 32.09 23.21 23.96 67.71 10</span></a>
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<a class="sourceLine" id="cb8-26" title="26"><span class="co">#> fr 23.10 23.13 27.95 23.46 23.65 67.64 10</span></a>
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<a class="sourceLine" id="cb8-27" title="27"><span class="co">#> pt 22.96 23.07 23.22 23.14 23.42 23.63 10</span></a></code></pre></div>
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<p>Currently supported are German, Dutch, Spanish, Italian, French and Portuguese.</p>
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</div>
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</div>
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