This post is written by Julien Cornebise. Last week in Aachen was the 3rd Edition of the Bayes(Pharma) workshop. Its specificity: half-and-half industry/academic participants and speakers, all in Pharmaceutical statistics, with a great care to welcome newcomers to Bayes, so as to spread as much as possible the love where it will actually be used. 
The last seven days till Tuesday I have been working on the conversion of the code of my master thesis from scripted R (statistics) to compiled C++ using the Rcpp package from Dirk Eddelbuettel. Despite the initial effort necessary to … Continue reading →
I got the following email. Subject: i have a question? Date: May 18, 2012 7:57:56 AM CDT how can i enter the data of QTL analysis. That was the whole thing. I presume that the writer wishes to use my R/qtl software. I could probably respond helpfully (for example, “See the sample data files and 
Network science is potentially useful for certain problems in data analysis, and I know close to nothing about it. In this short post I present my first attempt at network analysis: A minimal example to construct and visualize an artificial undirected network with community structure in R. No network libraries are loaded. Only basic R-functions 
Ever since I started using ggplot2 more often at work in order to do graphs, I’ve realized something about the use of colour in bar graphs vs. dot plots: When I’m looking at a graph displayed on the brilliant Viewsonic … Continue reading →
I mentioned in a previous post that our team at the recent Hack/Reduce hackathon had some fun with a data set which consisted of Bixi station states at minute level temporal resolution. In addition to pulling out and plotting the flux at each station on an hourly basis, we also plotted the system state (number 
Over the last few weeks I was trying to optimise my workflow using markdow in combination with knitr and pandoc. Knitr is a grea new package by Yihui, expanding R’s capabilities for reproducible research. I will illustrate my work flow … Continue reading →
by Yanchang Zhao, RDataMining.com This post presents an example of social network analysis with R using package igraph. The data to analyze is Twitter text data of @RDataMining used in the example of Text Mining, and it can be downloaded … Continue reading →
As part of an on-going paper with Kerrie Mengersen and Pierre Pudlo, we are using a GARCH(1,1) model as a target. Thus, the model is of the form which is a somehow puzzling object: the latent (variance) part is deterministic and can be reconstructed exactly given the series and the parameters. However, estimation is not 
The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full May edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. New R Training Courses Announced. Three new R courses from leading R experts are...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
