Nine R user communities already exist in France and there is a much large number of R communities around the world. It was time for Grenoble to start its own! The goal of the R user group is to facilitate the identification of local useRs, to initiate contacts, and to organise experience and knowledge sharing sessions.Continue reading “New R user community in Grenoble, France”
Tag Archives: R
3D density plot in R with Plotly
In Bayesian nonparametrics, many models address the problem of density regression, including covariate dependent processes. These were settled by the pioneering works by [current ISBA president] MacEachern (1999) who introduced the general class of dependent Dirichlet processes. The literature on dependent processes was developed in numerous models, such as nonparametric regression, time series data, meta-analysis, to cite butContinue reading “3D density plot in R with Plotly”
momentify R package at BAYSM14
I presented an arxived paper of my postdoc at the big success Young Bayesian Conference in Vienna. The big picture of the talk is simple: there are situations in Bayesian nonparametrics where you don’t know how to sample from the posterior distribution, but you can only compute posterior expectations (so-called marginal methods). So e.g. you cannot provide credible intervals.Continue reading “momentify R package at BAYSM14”
Last and final on Richter’s painting
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.Continue reading “Last and final on Richter’s painting”
Power of running world records
Following a 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 isContinue reading “Power of running world records”
Wilcoxon Champagne test
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 legsContinue reading “Wilcoxon Champagne test”
Running R on an iPhone/iPad with RStudio
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,Continue reading “Running R on an iPhone/iPad with RStudio”
RStudio is good for you
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 aContinue reading “RStudio is good for you”
Statisfaction on R-bloggers
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 atContinue reading “Statisfaction on R-bloggers”
Speed up your R code
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 allocationContinue reading “Speed up your R code”
Statisfaction 