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(v1.5.0.9006) major documentation update
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<title>PCA biplot with ggplot2 — ggplot_pca • AMR (for R)</title>
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<title>PCA Biplot with ggplot2 — ggplot_pca • AMR (for R)</title>
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<meta property="og:title" content="PCA biplot with ggplot2 — ggplot_pca" />
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<meta property="og:title" content="PCA Biplot with ggplot2 — ggplot_pca" />
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<meta property="og:description" content="Produces a ggplot2 variant of a so-called biplot for PCA (principal component analysis), but is more flexible and more appealing than the base R biplot() function." />
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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">1.5.0</span>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.5.0.9006</span>
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<div class="row">
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<div class="col-md-9 contents">
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<div class="page-header">
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<h1>PCA biplot with <code>ggplot2</code></h1>
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<h1>PCA Biplot with <code>ggplot2</code></h1>
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<small class="dont-index">Source: <a href='https://github.com/msberends/AMR/blob/master/R/ggplot_pca.R'><code>R/ggplot_pca.R</code></a></small>
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<div class="hidden name"><code>ggplot_pca.Rd</code></div>
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<h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
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<p>The colours for labels and points can be changed by adding another scale layer for colour, like <code><a href='https://ggplot2.tidyverse.org/reference/scale_viridis.html'>scale_colour_viridis_d()</a></code> or <code><a href='https://ggplot2.tidyverse.org/reference/scale_brewer.html'>scale_colour_brewer()</a></code>.</p>
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<h2 class="hasAnchor" id="maturing-lifecycle"><a class="anchor" href="#maturing-lifecycle"></a>Maturing lifecycle</h2>
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<h2 class="hasAnchor" id="maturing-lifecycle"><a class="anchor" href="#maturing-lifecycle"></a>Maturing Lifecycle</h2>
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