Getting Started with RStudio

Getting Started with RStudio

by John Verzani
Getting Started with RStudio

Getting Started with RStudio

by John Verzani

Paperback

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Overview

Dive into the RStudio Integrated Development Environment (IDE) for using and programming R, the popular open source software for statistical computing and graphics. This concise book provides new and experienced users with an overview of RStudio, as well as hands-on instructions for analyzing data, generating reports, and developing R software packages.

The open source RStudio IDE brings many powerful coding tools together into an intuitive, easy-to-learn interface. With this guide, you’ll learn how to use its main components—including the console, source code editor, and data viewer—through descriptions and case studies. Getting Started with RStudio serves as both a reference and introduction to this unique IDE.

  • Use RStudio to provide enhanced support for interactive R sessions
  • Clean and format raw data quickly with several RStudio components
  • Edit R commands with RStudio’s code editor, and combine them into functions
  • Easily locate and use more than 3,000 add-on packages in R’s CRAN service
  • Develop and document your own R packages with the code editor and related components
  • Create one-click PDF reports in RStudio with a mix of text and R output

Product Details

ISBN-13: 9781449309039
Publisher: O'Reilly Media, Incorporated
Publication date: 09/29/2011
Pages: 94
Product dimensions: 6.80(w) x 9.00(h) x 0.50(d)

About the Author

John Verzani is a long-time R user and author of both Using R for
Introductory Statistics (CRC, 2004) and, with Michael Lawrence,
Programming GUIs in R (CRC, forthcoming). He is a Professor and Chair in the Department of Mathematics at CUNY's College of Staten Island.

Table of Contents

  • Preface
  • Chapter 1: Overview, Installation
  • Chapter 2: Case Study: Data Cleaning
  • Chapter 3: The Console and Related Components
  • Chapter 4: Case Study: Creating a Package
  • Chapter 5: Programming R with RStudio
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