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  1. PO
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    <p>In this way you can automatically create your desired plot with 4 panels.</p> <p>First, the data:</p> <pre><code>scores &lt;- read.table(textConnection(" file max min avg lowest 132 5112.0 6520.0 5728.0 5699.0 133 4720.0 6064.0 5299.0 5277.0 5 4617.0 5936.0 5185.0 5165.0 1 4384.0 5613.0 4917.0 4895.0 1010 5008.0 6291.0 5591.0 5545.0 104 4329.0 5554.0 4858.0 4838.0 105 4636.0 5905.0 5193.0 5165.0 35 4304.0 5578.0 4842.0 4831.0 36 4360.0 5580.0 4891.0 4867.0 37 4444.0 5663.0 4979.0 4952.0 31 4328.0 5559.0 4858.0 4839.0 39 4486.0 5736.0 5031.0 5006.0 32 4334.0 5558.0 4864.0 4843.0 "), header=TRUE) file_vals &lt;- read.table(textConnection(" file avg_vals 133 1.5923 132 1.6351 1010 1.6532 104 1.6824 105 1.6087 39 1.8694 32 1.9934 31 1.9919 37 1.8638 36 1.9691 35 1.9802 1 1.7283 5 1.7637 "), header=TRUE) </code></pre> <p>Both data frames can be merged into a single one:</p> <pre><code>dat &lt;- merge(scores, file_vals, by = "file") </code></pre> <p>Fit:</p> <pre><code>d &lt;- dist(dat$avg_vals, method = "euclidean") fit &lt;- hclust(d, method="ward") groups &lt;- cutree(fit, k=3) cols &lt;- c('red', 'blue', 'green', 'purple', 'orange', 'magenta', 'brown', 'chartreuse4','darkgray','cyan1') </code></pre> <p>Add a column with the colour names (based on the fit):</p> <pre><code>dat$group &lt;- cols[groups] </code></pre> <p>Reshape data from wide to long format:</p> <pre><code>dat_re &lt;- reshape(dat, varying = c("max", "min", "avg", "lowest"), direction = "long", drop = c("file", "avg_vals"), v.names = "value", idvar = "group", times = c("max", "min", "avg", "lowest"), new.row.names = seq(nrow(scores) * 4)) </code></pre> <p>Plot:</p> <pre><code>p &lt;- (ggplot(dat_re ,aes(x = value))) + geom_density(aes(fill = group), alpha=.3) + scale_fill_manual(values=cols) + labs(fill = 'Clusters') + facet_wrap( ~ time) print(p) </code></pre> <p><img src="https://i.stack.imgur.com/qcKjL.png" alt="enter image description here"></p>
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    1. POColour Density plots in ggplot2 by cluster groups
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    1. USSven Hohenstein
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    1. POColour Density plots in ggplot2 by cluster groups
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    1. COThanks for the answer, but how do I scale and add the x-axis to the graphs? The graphs mat not necessarily fit on the same x-axis scale.
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      1. USHarpal
    2. COYou can use a further argument for `facet_wrap` to allow x-axis ranges based on the range of the data in each panel: `facet_wrap( ~ time, scales = "free_x")`. Note that it is not possible to specify different x-axes for the panels using ggplot2. If it is sufficient to have the same x-axis for all panels, you can add the following to your plot: `+ coord_cartesian(xlim = c(3500, 7000))`.
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