Learn R, in R. - swirl is a software package for the R programming language that turns the R console into an interactive learning environment. Users receive immediate feedback as they are guided through self-paced lessons in data science an...

The R language is a ‘DSL’ – a domain-specific language. The domain that it deals with, however, is not well-defined. In this note, I call R a “data science language” and link to a few resources that make the point better than I could. R as a domain-specific language A few years ago, John D. Cook gave a...

@drsimonj here to introduce pipelearner – a package I’m developing to make it easy to create machine learning pipelines in R – and to spread the word in the hope that some readers may be interested in contributing or testing it. This post will demonstrate some examples of what pipeleaner can currently do. For example, the Figure below plots...

It's been another great year for the R project and the R community. Let's look at some of the highlights from 2016. The R 3.3 major release brought some significant performance improvements to R, along with a spiffy new logo. There were also two updates in 2016: R 3.3.1 and R 3.3.2. (The R 3.2 series also received an...

In last week’s blog, I explained why you should Master R (even if it may eventually become obsolete). I wrote that article to address people who claim mastering R is a bit of a waste of time (because it will eventually become obsolete). But when I suggested that R may eventually become obsolete, this seemed The post

Previously in this series: Understanding the beta distribution Understanding empirical Bayes estimation Understanding credible intervals Understanding the Bayesian approach to false discovery rates Understanding Bayesian A/B testing Understanding beta binomial regression Understanding empirical Bayesian hierarchical modeling In this series on empirical Bayesian methods on baseball data, we’ve been...

#Rstatsgoes10k: Join eoda in the celebration of R and take the chance to win with your prediction! The easiest way to stay up-to-date regarding the current number of R packages is to follow eoda’s automated Twitter bot @Rstatsgoes10k. This bot regularly informs its followers of the status quo so that participants of the contest will …

e-mails with the latest R posts.

(You will not see this message again.)