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    <p>It is possible to separate polygons by a line in the data consisting only of <code>NA</code>.</p> <pre><code>library(reshape2) library(ggplot2) z &lt;- data.frame( date=date, min=pmin(x, y), max=pmax(x, y), series=ifelse(x&gt;y, 1, 2) ) # Helper function to create closed polygon, optionally adding NA line at bottom rdata &lt;- function(dat, addNA=FALSE){ rdat &lt;- dat[nrow(dat):1, ] ret &lt;- rbind( data.frame(x= dat$date, y= dat$max, series= dat$series), data.frame(x=rdat$date, y=rdat$min, series=rdat$series) ) if(addNA) ret &lt;- rbind(ret, c(NA, NA, NA)) ret } # Closed polygon 1 rz &lt;- rdata(z) #Closed polygon 2 z2 &lt;- z rlez &lt;- rle(z$series)$lengths z2$chunk &lt;- rep(seq_along(rlez), times=rlez) rz2 &lt;- ddply(z2, .(chunk), rdata, addNA=TRUE) rz2 &lt;- rz2[rz2$series!=1, ] </code></pre> <p>Create plot</p> <pre><code>ggplot(rz, aes(x, y, fill="Less than")) + geom_polygon() + geom_polygon(data=rz2, aes(x, y, fill="Greater than")) + scale_fill_discrete("Legend") + xlab("Date") + ylab("Value") </code></pre> <p><img src="https://i.stack.imgur.com/KrmLr.png" alt="enter image description here"></p> <hr> <p>PS. I don't know what your data represents in real life, but my hunch is you can visualize it better (or at least as well), with much less effort if you use <code>geom_linerange</code> instead of polygons.</p> <pre><code>ggplot(z, aes(x=date, ymin=min, ymax=max, colour=factor(series))) + geom_linerange(size=5) </code></pre> <p><img src="https://i.stack.imgur.com/3qfYh.png" alt="enter image description here"></p>
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    1. COThanks. The line range is a better option. I also figured out a not so elegant way to do it in base: `plot(b$Date,b$Max,type='h',col='skyblue');lines(w$Date,w$Max,type='h',col='salmon');lines(b$Date,b$Min,type='h',col='white')`. Not very elegant but now I will start learning ggplot because I am impressed by what it can do.
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