Statistical Computing with R Maria L. Rizzo, Rizzo Maria
Publisher: Taylor & Francis

It needs much better indexing, and But I believe it is fair to say that for parallel computing, R beats Python and Julia. R (an implementation of S) is free, open-source, and has hundreds of packages available. I particularly like the author's argument regarding the vital role of Rcpp in the future development of the R ecosystem. Jul 16, 2013 - To cite R in publications use: R Core Team (2013). R: A language and environment for statistical. R is quickly becoming the programming language for data analysis and statistics. Dec 18, 2011 - R is a free software environment for statistical computing and graphics. R Foundation for Statistical Computing, Vienna, Austria. Sep 28, 2011 - We also usually highlight web-based tools, and this presentation on R statistical computing tools relies on the command line. The R Project for Statistical Computing. May 21, 2014 - Not only does R have a gigantic head start, but also there is the point that statistics simply is not Python's or Julia's central mission; the incentives to get that big in data science just aren't there, I believe. It is supported by the R Project. Apr 29, 2013 - R is a free and open source environment for data analysis and statistical computing. Jan 8, 2014 - The R Project for Statistical Computing. (This is not to say that CRAN doesn't need improvement. Nov 24, 2007 - Since its inception, R has become one of the preeminent programs for statistical computing and data analysis. May 20, 2014 - R vs Python: Why R is still the king of statistical computing. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS.