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.
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.