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mirror of https://github.com/msberends/AMR.git synced 2025-07-08 13:21:50 +02:00

(v1.3.0.9023) optimalisation

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2020-09-19 11:54:01 +02:00
parent 4e40e42011
commit d049cce69b
30 changed files with 104 additions and 578 deletions

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</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9023</span>
</span>
</div>
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<li><p>The <a href='https://en.wikipedia.org/wiki/Levenshtein_distance'>Levenshtein distance</a> \(L\) is the distance between the user input and all taxonomic full names, with the text length of the user input being the maximum distance. A modified version of the Levenshtein distance \(L'\) based on the text length of the full name \(F\) is calculated as:</p></li>
</ol>
<p>$$L' = F - \frac{0.5 \times L}{F}$$</p>
<p>$$L' = F - \frac{0.5L}{F}$$</p>
<p>The final matching score \(M\) is calculated as:
$$M = L' \times \frac{1}{P \times K} * \frac{1}{U}$$</p>
$$M = L' \times \frac{1}{P K U} = \frac{F - 0.5L}{F P K U}$$</p>
<p>All matches are sorted descending on their matching score and for all user input values, the top match will be returned.</p>
<h2 class="hasAnchor" id="source"><a class="anchor" href="#source"></a>Source</h2>

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</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9023</span>
</span>
</div>

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@ -82,7 +82,7 @@
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9022</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.3.0.9023</span>
</span>
</div>
@ -270,9 +270,9 @@
<li><p>The <a href='https://en.wikipedia.org/wiki/Levenshtein_distance'>Levenshtein distance</a> \(L\) is the distance between the user input and all taxonomic full names, with the text length of the user input being the maximum distance. A modified version of the Levenshtein distance \(L'\) based on the text length of the full name \(F\) is calculated as:</p></li>
</ol>
<p>$$L' = F - \frac{0.5 \times L}{F}$$</p>
<p>$$L' = F - \frac{0.5L}{F}$$</p>
<p>The final matching score \(M\) is calculated as:
$$M = L' \times \frac{1}{P \times K} * \frac{1}{U}$$</p>
$$M = L' \times \frac{1}{P K U} = \frac{F - 0.5L}{F P K U}$$</p>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><span class='fu'><a href='as.mo.html'>as.mo</a></span>(<span class='st'>"E. coli"</span>)