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It's not very concise, but I think this should do what you need. You didn't provide a data set, so I just made some up. Also, the <code>LtoM</code> and <code>MtoH</code> functions are not included in any R package I could find, so I did a quick Google search and found them <a href="http://quantcorner.wordpress.com/2013/11/02/creating-a-heatmap-to-visualize-returns-with-r-ggplot2/" rel="noreferrer">here</a> The following code produces a plot <code>hm2</code> with facets to make the "Mean Return" row at the bottom: <pre><code>require(reshape2) require(ggplot2) # Random data set.seed(100) casted = data.frame(Var1 = rep(1985:2013, times=12), Var2 = rep(month.abb, each=29), return = rnorm(12*29, 0, 9)) molten = melt(casted, id.vars = c("Var1", "Var2")) LtoM <-colorRampPalette(c('red', 'yellow' )) Mid <- "snow3" MtoH <-colorRampPalette(c('lightgreen', 'darkgreen')) # Averages monthly.avg = cbind(Var1 = rep("Mean", 12), dcast(molten, Var2 ~ ., mean)) colnames(monthly.avg)[3] = "Mean" molten2 = merge(molten, melt(monthly.avg), all.x = TRUE, all.y = TRUE) # New plot hm2 = ggplot(data = molten2, aes(x = factor(Var2, levels = month.abb), y=Var1, fill=value)) + geom_raster() + scale_fill_gradient2(low=LtoM(100), mid=Mid, high=MtoH(100)) + labs(fill='% Return') + geom_text(aes(label=paste(sprintf("%.1f %%", value))), size = 4) + xlab(label = NULL) + ylab(label = NULL) + theme_bw() + theme(axis.text.x = element_text(size = 10, hjust = 0, vjust = 0.4, angle=90)) + facet_grid(variable ~ ., scales = "free_y", space = "free_y") + # grid layout theme(strip.background = element_rect(colour = 'NA', fill = 'NA'), strip.text.y = element_text(colour = 'white')) # remove facet labels </code></pre> which gives the following plot: <img src="https://i.stack.imgur.com/tk6Z0.jpg" alt="Plot with Mean Row">
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