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Getting R and Getting Started

  • Larry Pace

Abstract

R is a flexible and powerful open-source implementation of the language S (for statistics) developed by John Chambers and others at Bell Labs. R has eclipsed S and the commercially available S-Plus program for many reasons. R is free, and has a variety (nearly 4,000 at last count) of contributed packages, most of which are also free. R works on Macs, PCs, and Linux systems. In this book, you will see screens of R 2.15.1 running in a Windows 7 environment, but you will be able to use everything you learn with other systems, too. Although R is initially harder to learn and use than a spreadsheet or a dedicated statistics package, you will find R is a very effective statistics tool in its own right, and is well worth the effort to learn.

Keywords

Data Frame Discrete Probability Distribution Data Editor Short Vector Character Vector 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Larry Pace 2012

Authors and Affiliations

  • Larry Pace

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