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

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

Highlights of presentations from the R/Finance 2011 conference.

Trulia uses R and statistical models to map local crime.

Resources for data mining with R.

K-means clustering on large data sets with the RevoScaleR package.

Revolution Analytics' CTO David Champagne writes on real-time analytics for capital markets with R.

We profile UCLA's Jeroen Ooms, creator of several interactive web-based applications based on R.

How to create maps of geographic networks by drawing great circles in R.

According to CIO Magazine, Data Scientist is among the 6 hottest jobs in IT – and R is a key skill to have.

A replay and slides are available for download for our webinar, "The Big Analytics Revolution starts with R".

There are now more than 5000 questions on R at stackoverflow.com.

Cluster analysis on baseball data shows where the Seattle Mariners right-fielder Ichiro tends to hit.

Revolution Analytics' engineer Sherry LaMonica shows how to do principal components analysis on big data sets with the RevoScaleR package.

R resources for biostatisticians at the Bioinformatics Knowledgeblog.

R is amongst the five things that all biologists should know about Statistics, according to the Head of Nucleotide Data at the European Bioinformatics Institute.

Video recordings of two R-related talks from Hadley Wickham (on interactive graphics, and on engineering data analysis) are available for viewing online.

How to speed up R "for" loops by recoding the body in C++ with help from the Rcpp package.

A review of the June edition of the R Journal.

Revolution Analytics demonstrated integrating R with the IBM Netezza data warehouse appliance at the EnZee Universe conference.

The blog Heuristically Andrew ran some benchmarks of Revolution R for data mining applications.

A brief overview of the changes in R 2.13.1.

Other non-R-related stories in the past month included: the impact of big analytics on business; a defense of data mining ethics (); a new analyst report on Big Data (); WW2 data visualizations from the Churchill War Rooms (); the Data Without Borders project (); and a data modeling competition from Wikipedia. On a lighter note, we also had posts on the Lord of the Rings story in map form and Radiohead music videos.

There is a new R user group in Buenos Aires, Argentina. Meeting times for these groups can be found on the updated R Community Calendar.

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 like Google Reader, or by following me on Twitter (I'm @revodavid). You can find roundups of previous months here.

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