In this tutorial I will show

In response to an update to ggplot2 (now verson 0.9.2) I had to make some minor changes to our package TripleR. The CRAN maintainers also asked to … Please also fix other issues that may be apparent in checks with a current R-devel. Now, how can this be done? Here’s my workflow on Mac OS

Today's guest post comes from Yihui Xie, author of the knitr package — ed. Hi, this is Yihui Xie, and I'm guest posting on the Revolutions blog to talk about one aspect of the knitr package: how we can integrate data analysis and reporting in R with the Web. This post includes both the work that has been done...

In my last post, I described and demonstrated the CountSummary procedure to be included in the ExploringData package that I am in the process of developing. This procedure generates a collection of graphical data summaries for a count data sequence, based on the distplot, Ord_plot, and Ord_estimate functions from the vcd package. The distplot function generates both the Poissonness...

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....