**Revolutions**, and kindly contributed to R-bloggers)

In case you missed them, here are some articles from April of particular interest to R users:

A critique of a SAS whitepaper comparing the performance of SAS, R and Mahout.

A video presentation from statistician Tess Nesbitt at UpStream, who uses GAM survival models in R for marketing attribution analysis.

The April edition of the Revolution Analytics newsletter.

The "lahman" package provides access to baseball statistics from R.

New features in Revolution R Enterprise 6.2, now available.

Videos from Jeff Leek's Coursera course on data analysis with R.

Revolution Analytics named to CRN Big Data 100.

An informative discussion amongst data scientists.

Why you should use R instead of Excel for statistics.

An early preview of Revolution R Enterprise 7.

A handy cheat sheet for symbols you can use in equations in R graphics.

How to discretize data and perform stepwise regression on big data with the RevoScaleR package.

Some useful lists for data scientists and statisticians (including 17 R-related sites).

R user group presentations from Dublin, Milan and Cambridge.

The R code behind Rodrigo Zamith's NCAA Tournament Visualizer.

The new bigvis package for visualizing large data sets.

Using the RevoScaleR package to visualize big data with hex bin charts.

A look at SAS from an R programmer's perspective.

R version 3 is released, now supports big vectors.

New features in the RevoScaleR package.

Ten new R user groups around the world.

Some non-R stories in the past month included: handy tech tips, dogs that play ball with themselves, how open source software can reform government, the PeerIndex Big Data 100, quadrocopter vs Tesla coil and a funny video about quirky programming languages.

As always, thanks for the comments and please send any suggestions to me at [email protected]. Don't forget you can follow the blog using an RSS reader, or by following me on Twitter (I'm @revodavid). You can find roundups of previous months here.

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