Below you can download the slides presented on February 9, 2013 at the Dallas R Users Group on RStudio’s Shiny framework which allows you to create interactive web applications in R. No knowledge of HTML or JavaScript is required! I introduce the alternatives and history of R programming on the web, the reactive programming model,
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Deploying Shiny Server on Amazon EC2
Setting up Shiny Server on Amazon’s Elastic Compute Cloud (EC2) can be a bit of a process if you’re unfamiliar with Linux system administration. Thankfully, we’ve done all the hard work for you! If you’re looking to get Shiny Server running in EC2 without delay, just boot up an instance of our public Amazon Machine
Dallas R Users: Learn Shiny this Saturday, 2/9
Just a heads-up for any R users in the Dallas/Fort Worth Metroplex: I’ll be presenting at the Dallas R Users Group this Saturday, 2/9/2013 at 10:00AM at the University of Dallas (1845 East Northgate Drive, Irving, TX). I’ll be talking about how to use RStudio’s new Shiny framework to create R-powered web applications. For the
F1Stats – Visually Comparing Qualifying and Grid Positions with Race Classification
Following the roundabout tour of F1Stats – A Prequel to Getting Started With Rank Correlations, here’s a walk through of my attempt to replicate the first part of A Tale of Two 
A shiny app to display the human body map dataset
There was quite a lot of buzz around when the guys from Rstudio launched Shiny, a new web framework for R that promises to “make it super simple for R users like you to turn analyses into interactive web applications … Continue reading →
Shiny 0.3.0 released
Version 0.3.0 of Shiny is now available on CRAN. This version of Shiny has several new features and bug fixes. Some of the changes are under the hood: for example, Shiny now uses a more efficient algorithm for scheduling the execution of reactive functions. There are also some user-facing changes: for example, the new runGitHub() 
Shiny, deSolve and ggplot play nicely together
This is just a quick post (after a long absence) to quickly share my first Shiny attempt. The aim is to make available mechanistic models to coworkers through a web-based interface. I had planned to use RApache and RGTK+, but the arrival of Shiny has ...
A beginner’s guide to sharing and collaboration with R
In today's social world, it's important to be able to collaborate with others online when working with data, and to be able to easily share your outputs online. Fortunately, the R language and the broad R community provides a number of facilities for collaboration and sharing, which are summarized in Noam Ross's guide to tools for collaboration with R....
Shiny Server now available
Shiny makes it easy to develop interactive web applications that run on your own machine. But by itself, it isn’t designed to make your applications available to all comers over the internet (or intranet). You can’t run more than one Shiny application on the same port, and if your R process crashes or exits for 
In case you missed it: December 2012 Roundup
In case you missed them, here are some articles from December of particular interest to R users. The blog is.R ran an excellent series of R tips and applications in December, with posts including working with Stata files, working with graphs and networks, and text analysis. Kohske Takahashi provides R scripts to create a collection of optical illusions. Highlights...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
