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https://github.com/msberends/AMR.git
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(v0.7.1.9015) Remove freq()
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@ -42,7 +42,7 @@
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</button>
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<span class="navbar-brand">
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<a class="navbar-link" href="index.html">AMR (for R)</a>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9014</span>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.7.1.9015</span>
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</span>
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</div>
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@ -120,13 +120,6 @@
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Get properties of an antibiotic
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</a>
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</li>
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<li>
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<a href="articles/freq.html">
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<span class="fa fa-sort-amount-down"></span>
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Create frequency tables
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</a>
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</li>
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<li>
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<a href="articles/benchmarks.html">
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<span class="fa fa-shipping-fast"></span>
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@ -213,7 +206,6 @@
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<li>Plotting antimicrobial resistance (<a href="./articles/AMR.html">tutorial</a>)</li>
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<li>Determining first isolates to be used for AMR analysis (<a href="./reference/first_isolate.html">manual</a>)</li>
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<li>Applying EUCAST expert rules (<a href="./reference/eucast_rules.html">manual</a>)</li>
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<li>Descriptive statistics: frequency tables, kurtosis and skewness (<a href="./articles/freq.html">tutorial</a>)</li>
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</ul>
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<p>This package is ready-to-use for a professional environment by specialists in the following fields:</p>
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<p>Medical Microbiology</p>
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@ -340,8 +332,6 @@
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<li>Calculate the resistance (and even co-resistance) of microbial isolates with the <code><a href="reference/portion.html">portion_R()</a></code>, <code><a href="reference/portion.html">portion_IR()</a></code>, <code><a href="reference/portion.html">portion_I()</a></code>, <code><a href="reference/portion.html">portion_SI()</a></code> and <code><a href="reference/portion.html">portion_S()</a></code> functions. Similarly, the <em>number</em> of isolates can be determined with the <code><a href="reference/count.html">count_R()</a></code>, <code><a href="reference/count.html">count_IR()</a></code>, <code><a href="reference/count.html">count_I()</a></code>, <code><a href="reference/count.html">count_SI()</a></code> and <code><a href="reference/count.html">count_S()</a></code> functions. All these functions can be used with the <code>dplyr</code> package (e.g. in conjunction with <code>summarise()</code>)</li>
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<li>Plot AMR results with <code><a href="reference/ggplot_rsi.html">geom_rsi()</a></code>, a function made for the <code>ggplot2</code> package</li>
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<li>Predict antimicrobial resistance for the nextcoming years using logistic regression models with the <code><a href="reference/resistance_predict.html">resistance_predict()</a></code> function</li>
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<li>Conduct descriptive statistics to enhance base R: calculate <code><a href="reference/kurtosis.html">kurtosis()</a></code>, <code><a href="reference/skewness.html">skewness()</a></code> and create frequency tables with <code><a href="reference/freq.html">freq()</a></code>
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</li>
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</ul>
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</li>
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<li>
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