How can stats and data publishers, from NGOs and (inter)national statistics agencies to scientific researchers, publish their data in a way that supports its analysis directly, as well as in combination with other datasets? Here’s one approach I learned about from Michael Kao of the UN Food and Agriculture Organisation statistics division, FAOStat. At first 
Lately I had to write a seminar paper for a class and I decided to overdo it.But let's start at the very beginning. Here is my evolution of how I used to write stuff and how I got from this:to that:School: OpenOffice - I guess everyone has some&nb...
Upgrading R on Windows is not easy. While the R FAQ offer guidelines, some users may prefer to simply run a command in order to upgrade their R to the latest version. That is what the new {installr} package is …
Tired of manually running a python script to scrape the latest bookmaker odds on the next Pope, R user AJ (an analytical research manager at a large healthcare company) instead created an R script to track the odds on the Papal successor, and automated it with the Shiny package for R. The screenshot below shows the odds of each...
The folks at Rstudio have done some amazing work with the shiny package. From the shiny homepage, “Shiny makes it super simple for R users like you to turn analyses into interactive web applications that anyone can use.” Developing web applications has always appealed to me, but hosting, learning javascript, html, etc. made me put … Continue reading...
Inspired by a post on PirateGrunt, I finally managed to pack metvurst up and turn it into a proper R-Package (the fact that I’m on holiday and have some time also helped). As a side-effect of this, the repository has been moved from … Continue reading →
The other day I was thinking about writing a blog using PowerBuilder, but couldn't decide which one other technology I should integrate it...of course...R came to my mind...My journey started around 4 days ago...when I start looking for ways to call R ...
By: Sean M. Gonzalez If you haven’t already heard, RStudio has developed an incredibly easy way to deploy R on the web with its Shiny Package. For those who have heard, this really isn’t new as bloggers have already been blogging about ...
The Shiny package provides great user interactivity and another boost to its attractiveness has come with its integration with googleVis. Markus Gesman provides some background in a blog article with coded examples which he along with fellow googleVis creator, Diego de Castillo and lead Shiny developer Winson Chang have furnished There are at least three
Hi, I presented today at INSEE R user group (FLR) how to use knitr (Sweave evolution) for writing documents which are self contained with respect to the source code: your data changed? No big deal, just compile your .Rnw file again and you are done with an updated version of your paper! is easy. Some 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
