Book Image

Learning RStudio for R Statistical Computing

Book Image

Learning RStudio for R Statistical Computing

Overview of this book

Data is coming at us faster, dirtier, and at an ever increasing rate. The necessity to handle many, complex statistical analysis projects is hitting statisticians and analysts across the globe. This book will show you how to deal with it like never before, thus providing an edge and improving productivity. "Learning RStudio for R Statistical Computing" will teach you how to quickly and efficiently create and manage statistical analysis projects, import data, develop R scripts, and generate reports and graphics. R developers will learn about package development, coding principles, and version control with RStudio. This book will help you to learn and understand RStudio features to effectively perform statistical analysis and reporting, code editing, and R development. The book starts with a quick introduction where you will learn to load data, perform simple analysis, plot a graph, and generate automatic reports. You will then be able to explore the available features for effective coding, graphical analysis, R project management, report generation, and even project management. "Learning RStudio for R Statistical Computing" is stuffed with feature-rich and easy-to-understand examples, through step-by-step instructions helping you to quickly master the most popular IDE for R development.

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Learning RStudio for R Statistical Computing
Dec, 2012 | 126 pages
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Table of Contents (13 chapters)
Learning RStudio for R Statistical Computing
Learning RStudio for R Statistical Computing
Credits
Credits
About the Authors
About the Authors
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Getting Started
Getting Started
RStudio at a glance
Installing RStudio
Building R from source
Building R using Windows
Installing RStudio
Overview: A first R session
2
Writing R Scripts and the R Console
Writing R Scripts and the R Console
Moving around RStudio
Features of the R console
Features of the source editor
Folding, sectioning, and navigation
Code execution
Summary
3
Viewing and Plotting Data
Viewing and Plotting Data
Viewing data and the object browser
Plotting
Interactive plotting with the manipulate package
Summary
4
Managing R Projects
Managing R Projects
R projects
Version control
Working with a team
Further reading
Summary
5
Generating Reports
Generating Reports
Prerequisites for report generation
Notebook
R Markdown and Rhtml
Code chunks
LaTeX
Further reading
Summary
6
Using RStudio Effectively
Using RStudio Effectively
Additional features for function writing
Introduction to package writing
Summary
Index
Index

Installing RStudio

Before you install RStudio, you need to install R. It is possible to have multiple versions of R installed side by side. RStudio will use the latest version by default, but can be configured to use a different installed version.

Installing R

RStudio needs at least R version 2.11, but we highly recommend you to install the latest version.

Installing R on Windows and Mac OS X

To download and install R, point your browser to www.r-project.org, click on Download R (in the text underneath the graphics), and choose a server near where you are. From there, follow the instructions in the Download and install R box. Alternatively, use the Download R! button at www.inside-R.org. This website automatically offers you the most recent R version fitting your computer and operating system.

Installing R on Linux

Automatic R installation is supported for several popular Linux flavors, including Debian, OpenSuse, and Ubuntu.

For OpenSuse, the default installation can be obtained by pointing your web browser to http://software.opensuse.org/search, search for r-base, and install from there. At the moment, the newest R version is available from there.

The R version offered by the package installer is frozen when the operating system is released. We assume that you are familiar enough with tools such as Synaptic or aptitude in order to install the R version that comes with those operating systems. Here, we provide some details on how to install the latest R version on Ubuntu or Debian.

CRAN hosts Debian and Ubuntu repositories, which are as follows:

  1. Add the repository for Ubuntu 12.04 (precise pagnolin) by adding (as root) the following line to your /etc/apt/sources.list file:

    deb http://<your_nearest_cran_mirror>/bin/linux/ubuntu precise/

  2. Replace <your_nearest_cran_mirror> with a server near where you live. A list of mirrors can be found at http://cran.r-project.org/mirrors.html. Next, register the security key by typing the following:

    sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys E084DAB9

  3. Type the following commands to install the R.sudo apt-get update:

    sudo apt-get install r-base

Alternatively you can install the latest R now via Synaptic. For Debian 6.05 (squeeze), the line to add to your /etc/apt/sources.list file is deb http://<your_nearest_cran_mirror>/bin/linux/debian squeeze-cran/.

The security key is installed with the following command:

sudo apt-key adv --keyserver subkeys.pgp.net --recv-keys 381BA480

After this, installation proceeds as in Ubuntu.

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