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

Feb 28, 2013 - Statistical computing is becoming routine among geoscientists. May 16, 2014 - In some machines I do not have 'root' access, therefore when I need a software and I don't want to bother the sysadmin, I have to install it by myself into my home directory. May 15, 2014 - Data Visualization can serve as a complement to statistics and as a part of your research process from analysis through publication. I particularly like the author's argument regarding the vital role of Rcpp in the future development of the R ecosystem. You can follow any responses to this entry through the RSS 2.0 feed. Jan 21, 2008 - We will cover topics in Bayesian computation, statistical graphics, and software validation, as well as special topics that interest the class. May 20, 2014 - R vs Python: Why R is still the king of statistical computing. In addition, extensive computing using actual datasets is the best way to learn statistics. Visualization works with The R Project for Statistical Computing. Mar 20, 2010 - This entry was posted on March 20, 2010 at 1:51 pm and is filed under R. Apr 30, 2014 - Vladislav Malicevic: R is a language and environment for statistical computing used for complex predictive analysis. Oct 17, 2012 - The R statistical computing environment has become the de-facto standard among statisticians for writing statistical software, and has made substantial inroads in the social sciences. Tagged: JavaScript canvas, RKML, XML. R is quickly becoming the programming language for data analysis and statistics. Oct 14, 2013 - R is the de facto standard for statistical analysis in a wide range of disciplines such as computational biology, finance, sociology, political science and digital humanities. R (an implementation of S) is free, open-source, and has hundreds of packages available.