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ggseas.html
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<!DOCTYPE html>
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<title>ggplot2 extensions: ggseas</title>
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<h3 class="navbar-left"><strong>ggplot2</strong> extensions</h3>
<ul class="nav nav-pills navbar-right">
<li role="presentation" id="nav-home"><a href="index.html">Home</a></li>
<li role="presentation" id="nav-showcase"><a href="ggiraph.html">Extensions</a></li>
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<div id = "showcase-intro">
ggplot2 now has an official extension mechanism. This means that others can now easily create their own stats, geoms and positions, and provide them in other packages. This should allow the ggplot2 community to flourish, even as less development work happens in ggplot2 itself. This page showcases these extensions.
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<a href="ggiraph.html" class="list-group-item">
<h5 class="list-group-item-heading">ggiraph</h5>
<p class="list-group-item-text">Make ggplot interactive</p>
</a>
<a href="ggstance.html" class="list-group-item">
<h5 class="list-group-item-heading">ggstance</h5>
<p class="list-group-item-text">Horizontal versions of ggplot2 geoms</p>
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<p class="list-group-item-text">Accelarating ggplot2</p>
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<h5 class="list-group-item-heading">ggrepel</h5>
<p class="list-group-item-text">Repel overlapping text labels</p>
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<h5 class="list-group-item-heading">ggraph</h5>
<p class="list-group-item-text">Plot graph-like data structures</p>
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<h5 class="list-group-item-heading">ggpmisc</h5>
<p class="list-group-item-text">Miscellaneous extensions to ggplot2</p>
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<p class="list-group-item-text">Create easy animations with ggplot2</p>
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<h5 class="list-group-item-heading">ggspectra</h5>
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<p class="list-group-item-text">Geoms to plot networks with ggplot2</p>
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<p class="list-group-item-text">ggplot2 tech themes, scales, and geoms</p>
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<h5 class="list-group-item-heading">ggradar</h5>
<p class="list-group-item-text">radar charts with ggplot2</p>
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<h5 class="list-group-item-heading">ggTimeSeries</h5>
<p class="list-group-item-text">Time series visualisations</p>
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<a href="ggtree.html" class="list-group-item">
<h5 class="list-group-item-heading">ggtree</h5>
<p class="list-group-item-text">A phylogenetic tree viewer</p>
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<a href="ggseas.html" class="list-group-item">
<h5 class="list-group-item-heading">ggseas</h5>
<p class="list-group-item-text">Seasonal adjustment on the fly</p>
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<div id="ggseas" class="col-sm-8">
<h3>ggseas</h3>
<p><a href="https://github.com/ellisp/ggseas" class="uri">https://github.com/ellisp/ggseas</a></p>
<p>Seasonal adjustment on the fly extension for ggplot2. Convenience functions that let you easily do seasonal adjustment on the fly with ggplot. Depends on the <a href="https://cran.r-project.org/web/packages/seasonal/index.html"><code>seasonal</code> package</a> to give you access to X13-SEATS-ARIMA.</p>
<pre class="r"><code># Example from https://github.com/ellisp/ggseas
library(ggplot2)
library(ggnet)
library(ggseas)</code></pre>
<div id="usage" class="section level4">
<h4>Usage</h4>
<p>So far there are three types of seasonal adjustment possible</p>
<div id="x13-seats-arima" class="section level5">
<h5>X13-SEATS-ARIMA</h5>
<pre class="r"><code># make demo data
ap_df <- data.frame(
x = as.numeric(time(AirPassengers)),
y = as.numeric(AirPassengers)
)
# SEATS with defaults
ggplot(ap_df, aes(x = x, y = y)) +
geom_line(colour = "grey80") +
stat_seas(start = c(1949, 1), frequency = 12) +
ggtitle("SEATS seasonal adjustment - international airline passengers") +
ylab("International airline passengers per month")</code></pre>
<p><img src="ggseas_files/figure-html/unnamed-chunk-2-1.png" title="" alt="" width="576" /></p>
<pre class="r"><code># X11 with no outlier treatment
ggplot(ap_df, aes(x = x, y = y)) +
geom_line(colour = "grey80") +
stat_seas(start = c(1949, 1), frequency = 12, x13_params = list(x11 = "", outlier = NULL)) +
ggtitle("X11 seasonal adjustment - international airline passengers") +
ylab("International airline passengers per month")</code></pre>
<p><img src="ggseas_files/figure-html/unnamed-chunk-2-2.png" title="" alt="" width="576" /></p>
<pre class="r"><code>ggplot(ldeaths_df, aes(x = YearMon, y = deaths, colour = sex)) +
geom_point(colour = "grey50") +
geom_line(colour = "grey50") +
facet_wrap(~sex) +
stat_seas(start = c(1974, 1), frequency = 12, size = 2) +
ggtitle("Seasonally adjusted lung deaths in the UK 1974 - 1979") +
ylab("Deaths") +
xlab("(light grey shows original data;\ncoloured line is seasonally adjusted)") +
theme(legend.position = "none")</code></pre>
<p><img src="ggseas_files/figure-html/unnamed-chunk-2-3.png" title="" alt="" width="576" /></p>
</div>
<div id="stl-loess-based-decomposition" class="section level5">
<h5>STL (LOESS-based decomposition)</h5>
<pre class="r"><code># periodic if fixed seasonality; doesn't work well:
ggplot(ap_df, aes(x = x, y = y)) +
geom_line(colour = "grey80") +
stat_stl(frequency = 12, s.window = "periodic")</code></pre>
<p><img src="ggseas_files/figure-html/unnamed-chunk-3-1.png" title="" alt="" width="576" /></p>
<pre class="r"><code># seasonality varies a bit over time, works better:
ggplot(ap_df, aes(x = x, y = y)) +
geom_line(colour = "grey80") +
stat_stl(frequency = 12, s.window = 7)</code></pre>
<p><img src="ggseas_files/figure-html/unnamed-chunk-3-2.png" title="" alt="" width="576" /></p>
</div>
</div>
<div id="classical-decomposition" class="section level4">
<h4>Classical decomposition</h4>
<pre class="r"><code># default additive decomposition (doesn't work well in this case!):
ggplot(ap_df, aes(x = x, y = y)) +
geom_line(colour = "grey80") +
stat_decomp(frequency = 12)</code></pre>
<p><img src="ggseas_files/figure-html/unnamed-chunk-4-1.png" title="" alt="" width="576" /></p>
<pre class="r"><code># multiplicative decomposition, more appropriate:
ggplot(ap_df, aes(x = x, y = y)) +
geom_line(colour = "grey80") +
stat_decomp(frequency = 12, type = "multiplicative")</code></pre>
<p><img src="ggseas_files/figure-html/unnamed-chunk-4-2.png" title="" alt="" width="576" /></p>
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