Beginning R: The Statistical Programming Language by Mark Gardener
Beginning R: The Statistical Programming Language Mark Gardener ebook
Publisher: Wrox Press, Inc.
Source Type ' demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. When I was starting OrganizationView I knew that getting an easy to use and powerful analytic platform was critical and during my conversations with many statisticians and analysts about their choices one tool kept coming up – R. R Home page: Ths starting point for documentation, downloads, packages, etc. R is a system for statistical computation and graphics. While R is very flexible and powerful, it is unlike most of the computer programs you have used. The other widely used open source language for data analysis is R, a modern version of the S language for statistical computing that originally came out of the Bell Labs around the same time MATLAB was being developed. R is a free statistical programming language that is rapidly becoming the standard in university departments and statistical teams in many big firms (especially in the 'Big Data' firms, life-sciences and finance sectors). I'm still new to using R, so obviously don't have the depth of experience Oh, and I don't need to say that it can work on all sorts of databases, churn through data very rapidly, generate images, run statistical tests and plot graphs that are of publication quality. (Google has Lars Bak, a master VM implementer with decades of experience starting with the influential SELF project, but the Julia team, like anyone else, has access to those same influential papers). Besides being freely available, it is also a powerful statistical programming language based on S. That being said, I'd like to thank those who commented for pointing out why R isn't a great language for people starting out with programming. R, the statistical software environment, is an implementation of S, the statistical programming language. The S language was R Web Pages. It provides, among other things, a programming language, high level graphics, interfaces to other languages and debugging facilities. R and S-PLUS: R is a favourite in university stats departments. Because it's based on the R statistical-programming language, heavy R user Walmart has been able to transition some workloads to Alteryx when employees need an easier user experience.