Today is the World Tourism Day! So let’s speak about some tourism related datasets – and others. Among other nice functions, Google offers a Public Data Explore in a beta version which provides a collection of datasets from OECD, IMF, Eurostat, … Continue reading →
For a quick recap, Pierre and I supervised a team project at Ensae last year, on a statistical critique of the abstract painting 1024 Colours by painter Gerhard Richter. The four students, Clémence Bonniot, Anne Degrave, Guillaume Roussellet and Astrid Tricaud, did an outstanding job. Here is a selection of graphs and results they produced. 
Followinga few entries on sports here and there, I was wondering what kind of law follow the running records with respect to the distance. The data are available on Wikipedia, or here for a tidied version. It collects 18 distances, from 100 meters to 100 kilometers. A log-log scale is in order: It is nice 
As an appetizer for Paris triathlon, Jérôme and I ran as a team last week-end an adventure racing in Champagne region (it mainly consists in running, cycling, canoeing, with a flavor of orienteering, and Champagne is kept for the end). It was organized by Ecole Polytechnique students who, for the first time, divided Saturday’s legs 
This thread has been widely discussed on a lot of forums. To make a long story short, running natively R on an iDevice (meaning iPhone/iPad) is disabled by its OS, unless it is jailbroken. The steps for the installation through Cydia are described in this R wiki, or this post. But there are some limitations, 
I was recently introduced to RStudio, a new integrated development environment for R, it is just amazing! It is free, and open, compatible with PC/Mac/Linux OSs. You can also choose to run it in the cloud, and access it from your favorite web browser. As you can see, the window divides into four in a 
This is the first post of Statisfaction on R-bloggers. As an introduction: we are PhD students and postdocs at CREST, a research centre on economics and statistics located in Paris, France. We jointly share tips and tricks useful in our everyday jobs, links to various pages, articles, conferences, seminars, including a PhD student seminar at 
This short post is to share an R tip Pierre recently gave me. When you need to store values sequentially (typically inside a loop), it’s more far efficient to create the whole vector (or matrix) and to fill it, rather than to concatenate the values to your current vector (or matrix). In terms of allocation 
R is sometime criticized for producing graphs not as elaborated as Matlab ones, or other softwares’. Here is a link to a graph gallery by Romain François to “enhance your data visualization with R”. The corresponding R code is given. Might be useful for ENSAE students for ‘statap’ projects. Below are four examples. The maps 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
