(This article was first published on Revolutions, and kindly contributed to R-bloggers)
In a recent interview with DataInformed's Ian Murphy, I discussed the history of the open-source R project and how Revolution Analytics is building on R to compete with legacy statistical software such as SAS and SPSS. Other topics we touched on during the 20-minute discussion included: R's growth in academia, the impact of cloud computing on analytics, and how Revolution R Enterprise integrates with other data and presentation technologies. You can listen to the interview at iTunes, or embedded at the end of the Data Informed post below.
DataInformed: Revolution Analytics Uses Open Source R To Compete With SAS, SPSS
To leave a comment for the author, please follow the link and comment on their blog: Revolutions.
R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...