R-bloggers is a site that aggregates many of the best R blogs on the internet. We're glad they've allowed our R-related posts to be aggregated there. If you mainly write in R, it's worth checking them out.

R-bloggers is a site that aggregates many of the best R blogs on the internet. We're glad they've allowed our R-related posts to be aggregated there. If you mainly write in R, it's worth checking them out.

R is many things, but it's not exactly speedy like a Patas Monkey. In fact, while it is much faster than many other solutions, R is notably slower than Stata (even inspiring talks that it should be rewritten from scratch!).Fortunately, Radford Neal ha...

"The R-Files" is an occasional series from Revolution Analytics, where we profile prominent members of the R Community. Name: Jeroen Ooms Background: Ph.D. Candidate, Statistics, UCLA Nationality: Netherlands Years Using R: 3 1/2 Known for: Developing web applications for popular R packages including ggplot2, lme4, stockplot and irttool Jeroen Ooms is a statistical consultant and R enthusiast currently pursuing...

My neighbour is an half-retired entrepreneur who still runs his electric engine company. A few weekends ago, he came to me with the following physics question related with one of those engines: given a primary disk rotating at the angular speed of ω0 and a secondary disk located on the first one with a centre

Thanks to this great post http://www.imachordata.com/?p=730 we can now put multiple plots on a display with ggplot2. This provides somewhat similar functionality to ‘par(mfrow=c(x,y))’ which would allow multiple plots with the base plot function. gridExtra doesn’t have quite the same level of options as ‘par’, but the syntax is simple. grid.arrange( graph1, graph2, ncol=2 Simple. ‘grid.table’

An interested PR piece I got from Janet Dobbins: ————— Luis Torgo is teaching an online course, “Data Mining in R: Learning with Case Studies” at statistics.com. The course starts June 17 – July 15. Brief Description: The main goal of this course is to teach users how to perform data mining tasks using R. Instructor(s): Dr. Luis Torgo...

In the 2011 edition of the Sybase Capital Markets Guide, Revolution Analytics CTO David Champagne talks about the need for up-to-date analytics in Finance, and how you can integrate Revolution R with quality real-time data sources. Here's an excerpt: R represents a radically different approach to the challenges posed by analyzing increasingly large and complex data sets. Because it...

Just got an email linking to Reproducible Research: A Range of Response, in the new journal Statistics, Politics, and Policy 2(1) by David Banks, who is also the journal's editor. Interestingly, the commentary doesn't mention the journal's policy (if one exists) on the reproducibility of research submitted there. Banks' writing is easy to read, though

In preparation for The 4th Annual Conference of the Comparative Policy Agendas Project in Catania, Sicily, our development team has been busy drafting the documentation for RTextTools. In addition to standard documentation of functions, we want to provide quick-start guides, sample datasets, example scripts, and

On Tuesday next week I'll be teaming up with Revolution Analytics' Mike Minelli to give a 30-minute webinar to introduce executives to R, Big Data, and applications of advanced analytics. If there's someone in your company who needs to know about the impact of R on getting value out of data, they can register here. Here's the agenda: The...

In this post Joseph Rickert demonstrates how to build a classification model on a large data set with the RevoScaleR package. A script file for use with Revolution R Enterprise to recreate the analysis below is at the end of the post, and can also be downloaded here -- ed. The k-means (Lloyd) algorithm, an intuitive way to explore...

(A guest post by Camiel de Koning) ————– When trying to replicate, verify or extend empirical research of others, a researcher generally encounters many time-consuming barriers and there are often many prerequisites. Fittestmodel has the objective to overcome many of these problems, by presenting a webapplication that allows users to: use but not having to install R. quickly incorporate...

Statistics and data mining often get bundled together, but (in my opinion), they're generally different practices with different goals. As a language designed for statistics, much of R's core functionality is focused on exploring and understanding data: model design, inference, and visualization. But when your goal is simply to get the best predictions from a big data set (without...

In case you missed them, here are some articles from May of particular interest to R users. A review of "R Cookbook", a new how-to book for R programmers. A detailed example of using the RevoScaleR package to analyze a large airline data set. A new guide for R beginners, "How to Learn R", provides links to R resources,...

05.06.2011 Today i started to create a list of books and articles about ecological modelling. In this list you will not only find general books about modelling but also books about spatial analysis, image analysis and other (in my opinion) important techniques useful in the context of ecological modelling. For the collection i use “Zotero”

Following the trend of one liners for various languages (Haskell, Scala, Python), here's some examples in RMultiply Each Item in a List by 2#listslapply(list(1:4),function(n){n*2})# otherwise(1:4)*2 Sum a List of Numbers#listslapply(list(1:4),sum)# oth...