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    <p>Just a very minor variation on <a href="https://stackoverflow.com/a/8545618/1036500">BondedDust's answer</a>, in the general spirit of marginal indicators of distribution. </p> <p><a href="http://www.edwardtufte.com/tufte/" rel="nofollow noreferrer">Edward Tufte</a> has called this use of rug plots a 'dot-dash plot', and has an example in VDQI of using the axis lines to indicate the range of each variable. In my example the axis labels and grid lines also indicate the distribution of the data. The labels are located at the values of <a href="http://en.wikipedia.org/wiki/Five-number_summary" rel="nofollow noreferrer">Tukey's five number summary</a> (minimum, lower-hinge, median, upper-hinge, maximum), giving a quick impression of the spread of each variable. </p> <p>These five numbers are thus a numerical representation of a boxplot. It's a bit tricky because the unevenly spaced grid-lines suggest that the axes have a non-linear scale (in this example they are linear). Perhaps it would be best to omit grid lines or force them to be in regular locations, and just let the labels show the five number summary.</p> <pre><code>x&lt;-rnorm(300) y&lt;-rt(300,df=10) xy&lt;-data.frame(x,y) require(ggplot2); require(grid) # make the basic plot object ggplot(xy, aes(x, y)) + # set the locations of the x-axis labels as Tukey's five numbers scale_x_continuous(limit=c(min(x), max(x)), breaks=round(fivenum(x),1)) + # ditto for y-axis labels scale_y_continuous(limit=c(min(y), max(y)), breaks=round(fivenum(y),1)) + # specify points geom_point() + # specify that we want the rug plot geom_rug(size=0.1) + # improve the data/ink ratio theme_set(theme_minimal(base_size = 18)) </code></pre> <p><img src="https://i.stack.imgur.com/bxJWS.png" alt="enter image description here"></p>
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    1. POScatterplot with marginal histograms in ggplot2
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