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POScatterplot with marginal histograms in ggplot2
 

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  1. POScatterplot with marginal histograms in ggplot2
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    <p>Is there a way of creating scatterplots with marginal histograms just like in the sample below in <code>ggplot2</code>? In Matlab it is the <code>scatterhist()</code> function and there exist equivalents for R as well. However, I haven't seen it for ggplot2.</p> <p><img src="https://i.stack.imgur.com/uKiQS.jpg" alt="scatterplot with marginal histograms"></p> <p>I started an attempt by creating the single graphs but don't know how to arrange them properly.</p> <pre><code> require(ggplot2) x&lt;-rnorm(300) y&lt;-rt(300,df=2) xy&lt;-data.frame(x,y) xhist &lt;- qplot(x, geom="histogram") + scale_x_continuous(limits=c(min(x),max(x))) + opts(axis.text.x = theme_blank(), axis.title.x=theme_blank(), axis.ticks = theme_blank(), aspect.ratio = 5/16, axis.text.y = theme_blank(), axis.title.y=theme_blank(), background.colour="white") yhist &lt;- qplot(y, geom="histogram") + coord_flip() + opts(background.fill = "white", background.color ="black") yhist &lt;- yhist + scale_x_continuous(limits=c(min(x),max(x))) + opts(axis.text.x = theme_blank(), axis.title.x=theme_blank(), axis.ticks = theme_blank(), aspect.ratio = 16/5, axis.text.y = theme_blank(), axis.title.y=theme_blank() ) scatter &lt;- qplot(x,y, data=xy) + scale_x_continuous(limits=c(min(x),max(x))) + scale_y_continuous(limits=c(min(y),max(y))) none &lt;- qplot(x,y, data=xy) + geom_blank() </code></pre> <p>and arranging them with the function posted <a href="http://gettinggeneticsdone.blogspot.com/2010/03/arrange-multiple-ggplot2-plots-in-same.html">here</a>. But to make long story short: Is there a way of creating these graphs?</p>
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    1. CO@DWin right thank you - but i think that's pretty much the solution i gave in my question. however, i like the geom_rag() think very much given by you below!
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    2. COfrom a recent blog post that features the same topic: http://blog.mckuhn.de/2009/09/learning-ggplot2-2d-plot-with.html looks also quite nice :)
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    3. COThe new website for the Graphics Gallery is: http://gallery.r-enthusiasts.com/
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