If you follow the #rstats news on Twitter, you have most likely seen the impressive 3D maps produced with Tyler Morgan-Wall’s rayshader package. I’ve been wanting to try it for a long time and I finally found the time to do it last week. As a limnologist living on the shores of Lake Geneva, I didn’t hesitate for long about the location of my first map, which, in the excitement of the moment, I immediately published on twitter. Finally I…
Some time ago, Maëlle Salmon published a very nice post showing how she scraped her mathematical family tree from the Mathematics Genealogy Project. Of course I immediately wanted to produce my own! I am not a mathematician myself, but one of my PhD supervisor has a PhD in mathematics. Which makes me the indirect descendant of a long lineage of famous mathematicians! As Maëlle kindly invited me to share my tree on Twitter, I decided to write this post to…
I use RStudio every day at work. And every day my eyes say thank you to the developers for implementing themes support for the editor, and more recently a complete dark skin for the GUI. Dark themes are not only important for your health and the health of the planet. They are also absolutely essential to look cool in the office and make your colleagues believe you’re working on very complicated projects. 😀 However, one little thing could dispel the…
A few months ago, I published a post where I was trying to map the dependencies relationships between R packages. Today I want to do something similar with package contributors. My idea is to reconstruct a social graph where each node would be a person (presumably a developer), and two persons would be connected by an edge if they have collaborated on the same package. Thus I would be able to explore the CRAN social network! This post is also…
Every time I download subtitles for a movie or a series episode, I cannot help thinking about all this text that could be analyzed with text mining methods. As my PhD came to its end in April and I started a postdoc in September, I could use some time of my looong summer break to work on a new R package, subtools which aims to provide a toolbox to read, manipulate and write subtitles files in R. In this post…
The idea of this post is to create a kind of map of the R ecosystem showing dependencies relationships between packages. This is actually quite simple to quickly generate a graph object like that, since all the data we need can be obtained with one call to the function available.packages(). There are a few additional steps to clean the data and arrange them, but with the following code everyone can generate a graph of dependencies in less than 5s. First,…
This is the second « big » feature coming with branch 0.2 of rleafmap (now on CRAN!). With this new version you can write popups content in R Markdown which will be processed when you generate the map. This can be useful to format popups using markdown syntax (if you need more control remind that popups can also be formatted with html tags). More interesting with R Markdown is the possibility to include outputs of R code chunks. Thus, results, simulations and…
Do you know the Maucha diagram? If you are not an Hungarian limnologist, probably not! This diagram was proposed by Rezso Maucha in 1932 as a way to vizualise the relative ionic composition of water samples. However, as far I know this diagram had few success in the community. I never heard about it until my coworker Kalman (who is also Hungarian) asked me if I knew how to plot it in R. First, I have to admit I was…
This is a functionality I wanted to add for some time… and finally it’s here! I just pushed on GitHub a new version of rleafmap which brings the possibility to attach legends to data layers. You simply need to create a legend object with the function layerLegend and then to pass this object when you create your data layer via the legend argument. Thus, a map can contain different legends, each of them being independent. This is cool because it…
In February, I participated in a hackaton organized by Thibaut Jombart at Imperial College, London, to work on visualization tools for outbreak data. This was a great time spent with great people! Thanks again, Thibaut, for organizing. I took part in the development of epimap, an R package for statistical mapping. The aim of epimap is to provide tools to quickly and efficiently visualize spatial data. There is a set of functions designed to do that and you can check…