P281424/AMR
1
0
Fork 0
mirror of https://github.com/msberends/AMR.git synced 2025-09-07 02:09:37 +02:00
Code Releases Activity

(v1.4.0.9033) documentation update

Browse Source
This commit is contained in:
dr. M.S. (Matthijs) Berends
2020-12-08 12:37:25 +01:00
parent 1bdb136b3a
commit 2145f1d1ba
110 changed files with 839 additions and 576 deletions
Download Patch File Download Diff File Expand all files Collapse all files

9
docs/articles/PCA.html
View File

@@ -39,7 +39,7 @@
</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">1.4.0.9008</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.4.0.9032</span>
</span>
</div>
@@ -187,8 +187,7 @@
</header><script src="PCA_files/accessible-code-block-0.0.1/empty-anchor.js"></script><link href="PCA_files/anchor-sections-1.0/anchor-sections.css" rel="stylesheet">
<script src="PCA_files/anchor-sections-1.0/anchor-sections.js"></script><div class="row">
</header><script src="PCA_files/header-attrs-2.4/header-attrs.js"></script><script src="PCA_files/accessible-code-block-0.0.1/empty-anchor.js"></script><div class="row">
<div class="col-md-9 contents">
<div class="page-header toc-ignore">
<h1 data-toc-skip>How to conduct principal component analysis (PCA) for AMR</h1>
@@ -292,8 +291,8 @@
<p>The new <code><a href="../reference/pca.html">pca()</a></code> function will automatically filter on rows that contain numeric values in all selected variables, so we now only need to do:</p>
<div class="sourceCode" id="cb3"><pre class="downlit">
<span class="va">pca_result</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/pca.html">pca</a></span><span class="op">(</span><span class="va">resistance_data</span><span class="op">)</span>
<span class="co"># NOTE: Columns selected for PCA: AMC CXM CTX CAZ GEN TOB TMP SXT.</span>
<span class="co"># Total observations available: 7.</span></pre></div>
<span class="co"># NOTE: Columns selected for PCA: AMC CXM CTX CAZ GEN TOB TMP SXT. Total</span>
<span class="co"># observations available: 7.</span></pre></div>
<p>The result can be reviewed with the good old <code><a href="https://rdrr.io/r/base/summary.html">summary()</a></code> function:</p>
<div class="sourceCode" id="cb4"><pre class="downlit">
<span class="fu"><a href="https://rdrr.io/r/base/summary.html">summary</a></span><span class="op">(</span><span class="va">pca_result</span><span class="op">)</span>