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    <p>Solid question. I was pulling my hair out until I found <a href="https://stackoverflow.com/questions/14153092/meaning-of-ddply-error-names-attribute-9-must-be-the-same-length-as-the-vec">this</a> which described an interesting "feature" of <code>plyr</code>. So this solution utilizes ggplot, plyr, reshape2- hopefully a good intro to R. If you need to add cuts through days you can also do that by adding a variable in the ddply(). </p> <pre><code>library(plyr) library(reshape2) library(ggplot2) Hs &lt;- read.table( header=TRUE, text=' dates times gaps 1 2013-06-10 15:40:02.654168 1.426180 2 2013-06-10 15:40:18.936882 2.246462 3 2013-06-10 15:40:35.215668 3.227132 4 2013-06-10 15:40:48.328785 1.331284 5 2013-06-10 15:40:53.809485 1.294128 6 2013-06-10 15:41:04.027745 2.292671 7 2013-06-10 16:41:25.876519 1.293501 8 2013-06-10 16:41:42.929280 1.342166 9 2013-06-10 16:42:11.700626 3.203901 10 2013-06-10 16:42:23.059550 1.304467') Hs$dates &lt;- paste(Hs$date, Hs$times, sep = " ") Hs$dates &lt;- strptime(Hs$date, "%Y-%m-%d %H:%M:%S") class(Hs$dates) # "POSIXlt" "POSIXt" Hs$h1 &lt;- Hs$dates$hour Hs$dates &lt;- as.POSIXct(strptime(Hs$date, "%Y-%m-%d %H:%M:%S")) class(Hs$dates) # "POSIXct" "POSIXt" library(ggplot2) ggplot(Hs, aes(factor(h1), gaps)) + geom_boxplot(fill="white", colour="darkgreen") # easy way! Traditional boxplot. ggplot(Hs, aes(factor(h1), gaps)) + geom_boxplot() + stat_boxplot(coef = 1.7, fill="white", colour="darkgreen") </code></pre> <p>I don't know if adding "coef = 1.7" works for you- if not continue further to create the values via a summary table</p> <pre><code>cuts &lt;- c(.03, .5, .97, 1) x &lt;- ddply(Hs, .(h1), function (x) {summarise(x, y = quantile(x$gaps, cuts))}) x$cuts &lt;- cuts x &lt;- dcast(x, h1 ~ cuts, value.var = "y") x.melt &lt;- melt(x, id.vars = "h1") </code></pre> <p>Here are the lines you requested plus another box plot just for fun. </p> <pre><code>ggplot(x.melt, aes(x = h1, y = value, color = variable)) + geom_point(size = 5) + geom_line() + scale_colour_brewer(palette="RdYlBu") + xlab("hours") ggplot(x, aes(factor(h1), ymin = 0, lower = `0.03`, middle = `0.5`, upper = `0.97`, ymax = `1`)) + geom_boxplot(stat = "identity", fill="white", colour="darkgreen") </code></pre> <p><img src="https://i.stack.imgur.com/8FykU.jpg" alt="geom_line"></p> <p><img src="https://i.stack.imgur.com/tiaQm.jpg" alt="custom boxplot"></p> <p>Hope this helps.</p>
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    1. COWonderful answer!
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    2. COAlso learned about POSIXlt, class(), ddply(), summarise() and my question is answered as well :-) Thanks alot!
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