(This article was first published on

**MarginTale**, and kindly contributed to R-bloggers)How do you easily get beautiful calendar heatmaps of time series in ggplot2? E.g:

From MarginTale |

I was impressed by the lattice-based implementation from Paul Bleicher of Humedica, which you can find referenced in http://blog.revolutionanalytics.com/2009/11/charting-time-series-as-calendar-heat-maps-in-r.html. Then, when other blogs like http://timelyportfolio.blogspot.com/2012/04/piggybacking-and-hopefully-publicizing.html picked up the topic, I decided to try a ggplot2 implementation. In a comment to the above Revolution Analytics post, Hadley already presented a quick ggplot rendition, upon which I build here.

How do you attack the problem? Looking at the example output above:

- We facet_grid by “months” and “years”
- The data itself is plotted by “week of month” and “day of week” and coloured according to the value of interest

So, given a time series we just have to fiddle with time indexes to create a data.frame containing the time series as well as per observation the corresponding “month”, “year”, “week of month”, “day of week”. The rest is then a one-liner of code with Hadley’s wonderful ggplot2 system.

The following code contains step by step comments:

It should be easy to wrap into a function and I hope its useful.

To

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