mirror of
https://github.com/msberends/AMR.git
synced 2025-07-17 23:13:14 +02:00
prerelease 1.8.1
This commit is contained in:
@ -44,11 +44,7 @@
|
||||
</button>
|
||||
<span class="navbar-brand">
|
||||
<a class="navbar-link" href="../index.html">AMR (for R)</a>
|
||||
<<<<<<< HEAD
|
||||
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.8.1</span>
|
||||
=======
|
||||
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.8.0.9005</span>
|
||||
>>>>>>> 8c9feea087f568fd4abbdb325140d1d628e6856f
|
||||
</span>
|
||||
</div>
|
||||
|
||||
@ -189,7 +185,7 @@
|
||||
|
||||
|
||||
|
||||
</header><script src="benchmarks_files/accessible-code-block-0.0.1/empty-anchor.js"></script><div class="row">
|
||||
</header><div class="row">
|
||||
<div class="col-md-9 contents">
|
||||
<div class="page-header toc-ignore">
|
||||
<h1 data-toc-skip>Benchmarks</h1>
|
||||
@ -242,50 +238,31 @@ microorganism code <code>B_STPHY_AURS</code> (<em>B</em> stands for
|
||||
<span class="fu"><a href="../reference/as.mo.html">as.mo</a></span><span class="op">(</span><span class="st">"MRSA"</span><span class="op">)</span>, <span class="co"># Methicillin Resistant S. aureus</span>
|
||||
<span class="fu"><a href="../reference/as.mo.html">as.mo</a></span><span class="op">(</span><span class="st">"VISA"</span><span class="op">)</span>, <span class="co"># Vancomycin Intermediate S. aureus</span>
|
||||
times <span class="op">=</span> <span class="fl">25</span><span class="op">)</span>
|
||||
<span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">S.aureus</span>, unit <span class="op">=</span> <span class="st">"ms"</span>, signif <span class="op">=</span> <span class="fl">2</span><span class="op">)</span>
|
||||
<span class="fu"><a href="https://docs.ropensci.org/skimr/reference/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">S.aureus</span>, unit <span class="op">=</span> <span class="st">"ms"</span>, signif <span class="op">=</span> <span class="fl">2</span><span class="op">)</span>
|
||||
<span class="co"># Unit: milliseconds</span>
|
||||
<<<<<<< HEAD
|
||||
<span class="co"># expr min lq mean median uq max neval</span>
|
||||
<span class="co"># as.mo("sau") 12.0 13 18.0 14.0 15.0 48 25</span>
|
||||
<span class="co"># as.mo("stau") 54.0 59 80.0 91.0 96.0 99 25</span>
|
||||
<span class="co"># as.mo("STAU") 53.0 61 77.0 66.0 94.0 100 25</span>
|
||||
<span class="co"># as.mo("staaur") 12.0 13 19.0 14.0 16.0 62 25</span>
|
||||
<span class="co"># as.mo("STAAUR") 12.0 13 16.0 14.0 15.0 48 25</span>
|
||||
<span class="co"># as.mo("S. aureus") 28.0 30 38.0 33.0 35.0 69 25</span>
|
||||
<span class="co"># as.mo("S aureus") 27.0 31 46.0 34.0 65.0 73 25</span>
|
||||
<span class="co"># as.mo("Staphylococcus aureus") 3.7 4 6.7 4.3 4.5 36 25</span>
|
||||
<span class="co"># as.mo("Staphylococcus aureus (MRSA)") 260.0 270 290.0 280.0 290.0 360 25</span>
|
||||
<span class="co"># as.mo("Sthafilokkockus aaureuz") 190.0 210 220.0 210.0 220.0 330 25</span>
|
||||
<span class="co"># as.mo("MRSA") 12.0 13 20.0 14.0 16.0 68 25</span>
|
||||
<span class="co"># as.mo("VISA") 22.0 23 32.0 25.0 27.0 63 25</span></code></pre></div>
|
||||
<span class="co"># expr min lq mean median uq max neval</span>
|
||||
<span class="co"># as.mo("sau") 12.0 13.0 17.0 14.0 15 53 25</span>
|
||||
<span class="co"># as.mo("stau") 51.0 59.0 74.0 71.0 90 97 25</span>
|
||||
<span class="co"># as.mo("STAU") 53.0 60.0 77.0 87.0 91 96 25</span>
|
||||
<span class="co"># as.mo("staaur") 11.0 13.0 16.0 14.0 15 48 25</span>
|
||||
<span class="co"># as.mo("STAAUR") 13.0 14.0 19.0 15.0 16 48 25</span>
|
||||
<span class="co"># as.mo("S. aureus") 28.0 31.0 48.0 59.0 63 70 25</span>
|
||||
<span class="co"># as.mo("S aureus") 28.0 29.0 42.0 33.0 58 83 25</span>
|
||||
<span class="co"># as.mo("Staphylococcus aureus") 3.9 4.1 6.1 4.4 5 43 25</span>
|
||||
<span class="co"># as.mo("Staphylococcus aureus (MRSA)") 250.0 260.0 270.0 270.0 270 390 25</span>
|
||||
<span class="co"># as.mo("Sthafilokkockus aaureuz") 160.0 190.0 200.0 200.0 220 240 25</span>
|
||||
<span class="co"># as.mo("MRSA") 13.0 13.0 19.0 14.0 15 50 25</span>
|
||||
<span class="co"># as.mo("VISA") 21.0 22.0 29.0 24.0 27 61 25</span></code></pre></div>
|
||||
<p><img src="benchmarks_files/figure-html/unnamed-chunk-4-1.png" width="750"></p>
|
||||
<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 200 milliseconds, this is only 5
|
||||
input values per second. It is clear that accepted taxonomic names are
|
||||
extremely fast, but some variations are up to 67 times slower to
|
||||
extremely fast, but some variations are up to 61 times slower to
|
||||
determine.</p>
|
||||
<p>To improve performance, we implemented two important algorithms to
|
||||
save unnecessary calculations: <strong>repetitive results</strong> and
|
||||
<strong>already precalculated results</strong>.</p>
|
||||
=======
|
||||
<span class="co"># expr min lq mean median uq max neval</span>
|
||||
<span class="co"># as.mo("sau") 20.0 20.0 25.0 20.0 21 57 25</span>
|
||||
<span class="co"># as.mo("stau") 94.0 94.0 110.0 95.0 130 130 25</span>
|
||||
<span class="co"># as.mo("STAU") 94.0 95.0 110.0 130.0 130 130 25</span>
|
||||
<span class="co"># as.mo("staaur") 20.0 20.0 28.0 20.0 21 58 25</span>
|
||||
<span class="co"># as.mo("STAAUR") 20.0 20.0 25.0 20.0 21 57 25</span>
|
||||
<span class="co"># as.mo("S. aureus") 56.0 56.0 72.0 57.0 92 97 25</span>
|
||||
<span class="co"># as.mo("S aureus") 55.0 56.0 66.0 56.0 75 93 25</span>
|
||||
<span class="co"># as.mo("Staphylococcus aureus") 5.7 5.8 7.3 5.9 6 41 25</span>
|
||||
<span class="co"># as.mo("Staphylococcus aureus (MRSA)") 370.0 370.0 390.0 380.0 410 410 25</span>
|
||||
<span class="co"># as.mo("Sthafilokkockus aaureuz") 260.0 290.0 300.0 290.0 300 330 25</span>
|
||||
<span class="co"># as.mo("MRSA") 20.0 20.0 23.0 20.0 20 56 25</span>
|
||||
<span class="co"># as.mo("VISA") 34.0 35.0 48.0 35.0 35 220 25</span></code></pre></div>
|
||||
<p><img src="benchmarks_files/figure-html/unnamed-chunk-4-1.png" width="750"></p>
|
||||
<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 200 milliseconds, this is only 5 input values per second. It is clear that accepted taxonomic names are extremely fast, but some variations are up to 65 times slower to determine.</p>
|
||||
<p>To improve performance, we implemented two important algorithms to save unnecessary calculations: <strong>repetitive results</strong> and <strong>already precalculated results</strong>.</p>
|
||||
>>>>>>> 8c9feea087f568fd4abbdb325140d1d628e6856f
|
||||
<div class="section level3">
|
||||
<h3 id="repetitive-results">Repetitive results<a class="anchor" aria-label="anchor" href="#repetitive-results"></a>
|
||||
</h3>
|
||||
@ -310,13 +287,8 @@ possibly subspecies) which uses <code><a href="../reference/as.mo.html">as.mo()<
|
||||
<span class="co"># what do these values look like? They are of class <mo>:</span>
|
||||
<span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="va">x</span><span class="op">)</span>
|
||||
<span class="co"># Class <mo></span>
|
||||
<<<<<<< HEAD
|
||||
<span class="co"># [1] B_ESCHR_COLI B_STRPT_MITS B_STRPT_ANGN B_STPHY_CONS B_ESCHR_COLI</span>
|
||||
<span class="co"># [1] B_ACNTB B_ESCHR_COLI B_STRPT_GRPC B_STPHY_HMNS B_STPHY_CONS</span>
|
||||
<span class="co"># [6] B_ESCHR_COLI</span>
|
||||
=======
|
||||
<span class="co"># [1] B_PROTS_MRBL B_STPHY_CONS B_ESCHR_COLI B_PSDMN_AERG B_ENTRC_FCLS</span>
|
||||
<span class="co"># [6] B_STPHY_AURS</span>
|
||||
>>>>>>> 8c9feea087f568fd4abbdb325140d1d628e6856f
|
||||
|
||||
<span class="co"># as the example_isolates data set has 2,000 rows, we should have 2 million items</span>
|
||||
<span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">x</span><span class="op">)</span>
|
||||
@ -329,19 +301,14 @@ possibly subspecies) which uses <code><a href="../reference/as.mo.html">as.mo()<
|
||||
<span class="co"># now let's see:</span>
|
||||
<span class="va">run_it</span> <span class="op"><-</span> <span class="fu"><a href="https://rdrr.io/pkg/microbenchmark/man/microbenchmark.html" class="external-link">microbenchmark</a></span><span class="op">(</span><span class="fu"><a href="../reference/mo_property.html">mo_name</a></span><span class="op">(</span><span class="va">x</span><span class="op">)</span>,
|
||||
times <span class="op">=</span> <span class="fl">10</span><span class="op">)</span>
|
||||
<span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">run_it</span>, unit <span class="op">=</span> <span class="st">"ms"</span>, signif <span class="op">=</span> <span class="fl">3</span><span class="op">)</span>
|
||||
<span class="fu"><a href="https://docs.ropensci.org/skimr/reference/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">run_it</span>, unit <span class="op">=</span> <span class="st">"ms"</span>, signif <span class="op">=</span> <span class="fl">3</span><span class="op">)</span>
|
||||
<span class="co"># Unit: milliseconds</span>
|
||||
<span class="co"># expr min lq mean median uq max neval</span>
|
||||
<<<<<<< HEAD
|
||||
<span class="co"># mo_name(x) 207 225 288 233 370 414 10</span></code></pre></div>
|
||||
<span class="co"># mo_name(x) 200 204 265 225 320 392 10</span></code></pre></div>
|
||||
<p>So getting official taxonomic names of 2,000,000 (!!) items
|
||||
consisting of 90 unique values only takes 0.233 seconds. That is 117
|
||||
consisting of 90 unique values only takes 0.225 seconds. That is 112
|
||||
nanoseconds on average. You only lose time on your unique input
|
||||
values.</p>
|
||||
=======
|
||||
<span class="co"># mo_name(x) 265 269 357 298 471 516 10</span></code></pre></div>
|
||||
<p>So getting official taxonomic names of 2,000,000 (!!) items consisting of 90 unique values only takes 0.298 seconds. That is 149 nanoseconds on average. You only lose time on your unique input values.</p>
|
||||
>>>>>>> 8c9feea087f568fd4abbdb325140d1d628e6856f
|
||||
</div>
|
||||
<div class="section level3">
|
||||
<h3 id="precalculated-results">Precalculated results<a class="anchor" aria-label="anchor" href="#precalculated-results"></a>
|
||||
@ -356,24 +323,16 @@ will return the results immediately (see ‘C’ below):</p>
|
||||
B <span class="op">=</span> <span class="fu"><a href="../reference/mo_property.html">mo_name</a></span><span class="op">(</span><span class="st">"S. aureus"</span><span class="op">)</span>,
|
||||
C <span class="op">=</span> <span class="fu"><a href="../reference/mo_property.html">mo_name</a></span><span class="op">(</span><span class="st">"Staphylococcus aureus"</span><span class="op">)</span>,
|
||||
times <span class="op">=</span> <span class="fl">10</span><span class="op">)</span>
|
||||
<span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">run_it</span>, unit <span class="op">=</span> <span class="st">"ms"</span>, signif <span class="op">=</span> <span class="fl">3</span><span class="op">)</span>
|
||||
<span class="fu"><a href="https://docs.ropensci.org/skimr/reference/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">run_it</span>, unit <span class="op">=</span> <span class="st">"ms"</span>, signif <span class="op">=</span> <span class="fl">3</span><span class="op">)</span>
|
||||
<span class="co"># Unit: milliseconds</span>
|
||||
<<<<<<< HEAD
|
||||
<span class="co"># expr min lq mean median uq max neval</span>
|
||||
<span class="co"># A 10.3 10.90 11.20 11.10 11.20 12.40 10</span>
|
||||
<span class="co"># B 31.3 32.70 38.20 33.90 35.20 79.80 10</span>
|
||||
<span class="co"># C 2.5 2.64 2.79 2.78 2.85 3.13 10</span></code></pre></div>
|
||||
<span class="co"># expr min lq mean median uq max neval</span>
|
||||
<span class="co"># A 8.35 8.84 9.10 9.01 9.32 10.20 10</span>
|
||||
<span class="co"># B 23.00 24.70 30.30 25.00 26.90 72.70 10</span>
|
||||
<span class="co"># C 2.05 2.07 2.44 2.41 2.83 3.05 10</span></code></pre></div>
|
||||
<p>So going from <code>mo_name("Staphylococcus aureus")</code> to
|
||||
<code>"Staphylococcus aureus"</code> takes 0.0028 seconds - it doesn’t
|
||||
<code>"Staphylococcus aureus"</code> takes 0.0024 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>
|
||||
=======
|
||||
<span class="co"># expr min lq mean median uq max neval</span>
|
||||
<span class="co"># A 12.30 12.30 12.60 12.50 12.60 14.2 10</span>
|
||||
<span class="co"># B 61.70 61.90 62.70 62.40 62.50 66.2 10</span>
|
||||
<span class="co"># C 3.04 3.05 6.92 3.12 3.21 40.9 10</span></code></pre></div>
|
||||
<p>So going from <code>mo_name("Staphylococcus aureus")</code> to <code>"Staphylococcus aureus"</code> takes 0.0031 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>
|
||||
>>>>>>> 8c9feea087f568fd4abbdb325140d1d628e6856f
|
||||
<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
|
||||
<code class="sourceCode R"><span class="va">run_it</span> <span class="op"><-</span> <span class="fu"><a href="https://rdrr.io/pkg/microbenchmark/man/microbenchmark.html" class="external-link">microbenchmark</a></span><span class="op">(</span>A <span class="op">=</span> <span class="fu"><a href="../reference/mo_property.html">mo_species</a></span><span class="op">(</span><span class="st">"aureus"</span><span class="op">)</span>,
|
||||
B <span class="op">=</span> <span class="fu"><a href="../reference/mo_property.html">mo_genus</a></span><span class="op">(</span><span class="st">"Staphylococcus"</span><span class="op">)</span>,
|
||||
@ -384,35 +343,23 @@ expected resulting value</em>. That goes for all helper functions:</p>
|
||||
G <span class="op">=</span> <span class="fu"><a href="../reference/mo_property.html">mo_phylum</a></span><span class="op">(</span><span class="st">"Firmicutes"</span><span class="op">)</span>,
|
||||
H <span class="op">=</span> <span class="fu"><a href="../reference/mo_property.html">mo_kingdom</a></span><span class="op">(</span><span class="st">"Bacteria"</span><span class="op">)</span>,
|
||||
times <span class="op">=</span> <span class="fl">10</span><span class="op">)</span>
|
||||
<span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">run_it</span>, unit <span class="op">=</span> <span class="st">"ms"</span>, signif <span class="op">=</span> <span class="fl">3</span><span class="op">)</span>
|
||||
<span class="fu"><a href="https://docs.ropensci.org/skimr/reference/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">run_it</span>, unit <span class="op">=</span> <span class="st">"ms"</span>, signif <span class="op">=</span> <span class="fl">3</span><span class="op">)</span>
|
||||
<span class="co"># Unit: milliseconds</span>
|
||||
<span class="co"># expr min lq mean median uq max neval</span>
|
||||
<<<<<<< HEAD
|
||||
<span class="co"># A 2.30 2.55 2.68 2.66 2.85 2.94 10</span>
|
||||
<span class="co"># B 2.27 2.38 2.59 2.56 2.83 2.88 10</span>
|
||||
<span class="co"># C 2.22 2.25 2.51 2.47 2.74 2.87 10</span>
|
||||
<span class="co"># D 2.21 2.40 2.68 2.73 2.94 3.08 10</span>
|
||||
<span class="co"># E 2.22 2.28 2.46 2.45 2.56 2.81 10</span>
|
||||
<span class="co"># F 2.19 2.34 2.52 2.48 2.71 3.04 10</span>
|
||||
<span class="co"># G 2.23 2.40 2.52 2.46 2.62 2.88 10</span>
|
||||
<span class="co"># H 2.13 2.25 2.42 2.47 2.50 2.77 10</span></code></pre></div>
|
||||
<span class="co"># A 1.89 1.93 2.09 2.05 2.17 2.40 10</span>
|
||||
<span class="co"># B 1.89 1.93 2.08 2.00 2.19 2.63 10</span>
|
||||
<span class="co"># C 1.91 1.92 2.10 1.97 2.30 2.43 10</span>
|
||||
<span class="co"># D 1.90 1.94 2.21 2.02 2.53 2.88 10</span>
|
||||
<span class="co"># E 1.87 1.95 2.09 2.04 2.22 2.33 10</span>
|
||||
<span class="co"># F 1.84 1.91 1.97 1.92 2.04 2.14 10</span>
|
||||
<span class="co"># G 1.87 1.92 2.10 1.96 2.12 2.96 10</span>
|
||||
<span class="co"># H 1.90 1.96 2.12 2.06 2.21 2.47 10</span></code></pre></div>
|
||||
<p>Of course, when running <code>mo_phylum("Firmicutes")</code> the
|
||||
function has zero knowledge about the actual microorganism, namely
|
||||
<em>S. aureus</em>. But since the result would be
|
||||
<code>"Firmicutes"</code> anyway, there is no point in calculating the
|
||||
result. And because this package contains all phyla of all known
|
||||
bacteria, it can just return the initial value immediately.</p>
|
||||
=======
|
||||
<span class="co"># A 3.02 3.09 3.22 3.10 3.46 3.55 10</span>
|
||||
<span class="co"># B 3.03 3.04 3.21 3.12 3.42 3.48 10</span>
|
||||
<span class="co"># C 3.03 3.05 3.08 3.06 3.12 3.16 10</span>
|
||||
<span class="co"># D 2.98 3.01 3.17 3.09 3.40 3.47 10</span>
|
||||
<span class="co"># E 3.01 3.06 3.19 3.12 3.43 3.43 10</span>
|
||||
<span class="co"># F 2.95 2.99 3.11 3.05 3.16 3.46 10</span>
|
||||
<span class="co"># G 2.94 3.06 3.19 3.13 3.41 3.54 10</span>
|
||||
<span class="co"># H 2.93 3.01 3.12 3.08 3.19 3.42 10</span></code></pre></div>
|
||||
<p>Of course, when running <code>mo_phylum("Firmicutes")</code> the function has zero knowledge about the actual microorganism, namely <em>S. aureus</em>. But since the result would be <code>"Firmicutes"</code> anyway, there is no point in calculating the result. And because this package contains all phyla of all known bacteria, it can just return the initial value immediately.</p>
|
||||
>>>>>>> 8c9feea087f568fd4abbdb325140d1d628e6856f
|
||||
</div>
|
||||
<div class="section level3">
|
||||
<h3 id="results-in-other-languages">Results in other languages<a class="anchor" aria-label="anchor" href="#results-in-other-languages"></a>
|
||||
@ -447,36 +394,21 @@ with the other languages):</p>
|
||||
ru <span class="op">=</span> <span class="fu"><a href="../reference/mo_property.html">mo_name</a></span><span class="op">(</span><span class="va">CoNS</span>, language <span class="op">=</span> <span class="st">"ru"</span><span class="op">)</span>,
|
||||
sv <span class="op">=</span> <span class="fu"><a href="../reference/mo_property.html">mo_name</a></span><span class="op">(</span><span class="va">CoNS</span>, language <span class="op">=</span> <span class="st">"sv"</span><span class="op">)</span>,
|
||||
times <span class="op">=</span> <span class="fl">100</span><span class="op">)</span>
|
||||
<span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">run_it</span>, unit <span class="op">=</span> <span class="st">"ms"</span>, signif <span class="op">=</span> <span class="fl">4</span><span class="op">)</span>
|
||||
<span class="fu"><a href="https://docs.ropensci.org/skimr/reference/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">run_it</span>, unit <span class="op">=</span> <span class="st">"ms"</span>, signif <span class="op">=</span> <span class="fl">4</span><span class="op">)</span>
|
||||
<span class="co"># Unit: milliseconds</span>
|
||||
<<<<<<< HEAD
|
||||
<span class="co"># expr min lq mean median uq max neval</span>
|
||||
<span class="co"># da 2.1730 2.476 3.956 2.609 2.873 45.180 100</span>
|
||||
<span class="co"># de 2.2170 2.497 3.161 2.646 2.855 48.260 100</span>
|
||||
<span class="co"># en 0.9509 1.122 1.640 1.183 1.321 38.430 100</span>
|
||||
<span class="co"># es 2.1870 2.546 2.763 2.659 2.872 5.676 100</span>
|
||||
<span class="co"># fr 1.9880 2.339 2.609 2.456 2.636 5.197 100</span>
|
||||
<span class="co"># it 2.2580 2.475 4.081 2.619 2.867 47.080 100</span>
|
||||
<span class="co"># nl 2.3120 2.535 2.792 2.664 2.822 8.113 100</span>
|
||||
<span class="co"># pt 2.1930 2.417 3.329 2.528 2.783 48.600 100</span>
|
||||
<span class="co"># ru 2.0470 2.360 2.596 2.481 2.683 6.030 100</span>
|
||||
<span class="co"># sv 2.2030 2.443 3.077 2.545 2.703 43.350 100</span></code></pre></div>
|
||||
<span class="co"># expr min lq mean median uq max neval</span>
|
||||
<span class="co"># da 2.133 2.304 3.442 2.494 2.816 46.020 100</span>
|
||||
<span class="co"># de 2.128 2.312 3.068 2.520 2.699 53.220 100</span>
|
||||
<span class="co"># en 1.014 1.115 1.262 1.227 1.362 2.424 100</span>
|
||||
<span class="co"># es 2.133 2.338 2.981 2.570 2.737 43.770 100</span>
|
||||
<span class="co"># fr 1.986 2.149 3.139 2.377 2.567 41.610 100</span>
|
||||
<span class="co"># it 2.072 2.268 2.911 2.468 2.656 44.560 100</span>
|
||||
<span class="co"># nl 2.115 2.286 2.962 2.521 2.723 43.240 100</span>
|
||||
<span class="co"># pt 2.055 2.205 2.912 2.520 2.687 39.520 100</span>
|
||||
<span class="co"># ru 1.998 2.210 2.866 2.474 2.631 39.820 100</span>
|
||||
<span class="co"># sv 2.022 2.187 2.759 2.357 2.536 38.560 100</span></code></pre></div>
|
||||
<p>Currently supported languages are Danish, Dutch, English, French,
|
||||
German, Italian, Portuguese, Russian, Spanish and Swedish.</p>
|
||||
=======
|
||||
<span class="co"># expr min lq mean median uq max neval</span>
|
||||
<span class="co"># da 3.579 3.689 3.811 3.737 3.894 4.626 100</span>
|
||||
<span class="co"># de 3.600 3.694 4.205 3.750 3.869 43.820 100</span>
|
||||
<span class="co"># en 1.686 1.720 1.828 1.766 1.822 2.244 100</span>
|
||||
<span class="co"># es 3.618 3.688 4.633 3.772 4.083 43.890 100</span>
|
||||
<span class="co"># fr 3.493 3.602 4.104 3.658 3.785 41.860 100</span>
|
||||
<span class="co"># it 3.543 3.628 4.152 3.702 3.810 44.040 100</span>
|
||||
<span class="co"># nl 3.625 3.716 5.024 3.763 3.924 44.220 100</span>
|
||||
<span class="co"># pt 3.510 3.610 3.742 3.684 3.861 4.096 100</span>
|
||||
<span class="co"># ru 3.568 3.680 4.534 3.742 3.871 41.170 100</span>
|
||||
<span class="co"># sv 3.585 3.664 3.833 3.748 4.046 4.987 100</span></code></pre></div>
|
||||
<p>Currently supported languages are Danish, Dutch, English, French, German, Italian, Portuguese, Russian, Spanish and Swedish.</p>
|
||||
>>>>>>> 8c9feea087f568fd4abbdb325140d1d628e6856f
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@ -496,12 +428,8 @@ Erwin E. A. Hassing.</p>
|
||||
|
||||
<div class="pkgdown">
|
||||
<p></p>
|
||||
<<<<<<< HEAD
|
||||
<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a>
|
||||
2.0.2.</p>
|
||||
=======
|
||||
<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.2.</p>
|
||||
>>>>>>> 8c9feea087f568fd4abbdb325140d1d628e6856f
|
||||
</div>
|
||||
|
||||
</footer>
|
||||
|
||||
Reference in New Issue
Block a user