Because I am self-taught in many of the areas of computer science and more advanced statistics and probability theory I am most interested in, and because I have a deep aversion both to looking foolish and being full of it...

Because I am self-taught in many of the areas of computer science and more advanced statistics and probability theory I am most interested in, and because I have a deep aversion both to looking foolish and being full of it...

In case you missed them, here are some articles from June of particular interest to R users. RStan is a new package for Bayesian modeling with R. It's faster and can fit more highly-correlated models than the MCMC sampler of BUGS and JAGS. Biostatistician Corey Chivers used R to animate the epidemic-like growth of retailer Walmart in the US....

Update Oct-23: Added a new parameter add to the function. Now multiple groups can be plotted in a single plot (see example in my comment) As a follow-up on my R implementation of Solomon’s watercolor plots, I made some improvements to the function. I fine-tuned the graphical parameters (the median smoother line now diminishes faster

One of the main attractions of R (for me) is the ability to produce high quality graphics that look just the way you want them to. The basic plot functions are generally excellent for exploratory work and for getting to know your data. Most packages have additional functions for appropriate exploratory work or for summarizing

I searched for a javascript plugin to highlighter code, but obviously not any code. I needed to higlight R. Finally I founded highlight.js. Highlights.js is pretty cool for many reasons. I like Highlights.js because: Support R lenguage....

I am a sucker for beautiful applications (like the ggplot2 web tool mentioned here). The latest R-related application to catch my eye is RStudio. RStudio™ is a free and open source integrated development environment (IDE) for R. You can run it on your desktop (Windows, Mac, or Linux) or even over the web using RStudio

My coworkers at Fred Hutchinson regularly use the development version of R (i.e., R-devel) and have urged me to do the same. This post details how I have set up the development version of R on our Linux server, which I use remotely because it is much faster than my Mac. First, I downloaded the R-devel source into ~/local/, which...