John Verzani Getting Started with RStudio

ISBN 13: 9781449309039

Getting Started with RStudio

9781449309039: Getting Started with RStudio
Vom Verlag:

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

Vom Verlag:

This e-book will introduce users to the RStudio framework for using and programming R, the widely used open source statistical computing environment. The RStudio framework, is an open source project that brings together many powerful coding tools into an intuitive interface. It runs under all major platforms (Windows, Mac, Linux) and through a web browser (using the server installation). This text should appeal to newer R users and students who want to explore the interface to get the most out of R and to older R users who want to use a more modern looking development environment. The book will serve as both a resource to look up specific features provided by RStudio and as an introduction to the following processes with R: data analysis, programming and report generation.

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