Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Machine Learning with R Cookbook, Second Edition

You're reading from   Machine Learning with R Cookbook, Second Edition Analyze data and build predictive models

Arrow left icon
Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781787284395
Length 572 pages
Edition 2nd Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
Ashish Bhatia Ashish Bhatia
Author Profile Icon Ashish Bhatia
Ashish Bhatia
Yu-Wei, Chiu (David Chiu) Yu-Wei, Chiu (David Chiu)
Author Profile Icon Yu-Wei, Chiu (David Chiu)
Yu-Wei, Chiu (David Chiu)
Arrow right icon
View More author details
Toc

Table of Contents (15) Chapters Close

Preface 1. Practical Machine Learning with R FREE CHAPTER 2. Data Exploration with Air Quality Datasets 3. Analyzing Time Series Data 4. R and Statistics 5. Understanding Regression Analysis 6. Survival Analysis 7. Classification 1 - Tree, Lazy, and Probabilistic 8. Classification 2 - Neural Network and SVM 9. Model Evaluation 10. Ensemble Learning 11. Clustering 12. Association Analysis and Sequence Mining 13. Dimension Reduction 14. Big Data Analysis (R and Hadoop)

Downloading and installing RStudio

To write an R script, one can use R Console, R commander, or any text editor (such as EMACS, VIM, or sublime). However, the assistance of RStudio, an integrated development environment (IDE) for R, can make development a lot easier.

RStudio provides comprehensive facilities for software development. Built-in features, such as syntax highlighting, code completion, and smart indentation, help maximize productivity. To make R programming more manageable, RStudio also integrates the main interface into a four-panel layout. It includes an interactive R Console, a tabbed source code editor, a panel for the currently active objects/history, and a tabbed panel for the file browser/plot window/package install window/R help window. Moreover, RStudio is open source and is available for many platforms, such as Windows, macOS X, and Linux. This recipe shows how to download and install RStudio.

Getting ready

RStudio requires a working R installation; when RStudio loads, it must be able to locate a version of R. You must therefore have completed the previous recipe with R installed on your OS before proceeding to install RStudio.

How to do it...

Perform the following steps to download and install RStudio for Windows and macOS users:

  1. Access RStudio's official site by using the following URL: http://www.rstudio.com/products/RStudio/
RStudio home page
  1. For the desktop version installation, click on RStudio Desktop under the Desktop section. It will redirect you to the bottom of the home page:
  1. Click on the DOWNLOAD RSTUDIO DESKTOP button (http://www.rstudio.com/products/rstudio/download/), it will display download page, with the option of open source license and commercial license. Scroll down to RStudio Desktop Open Source License and click on DOWNLOAD button:
RStudio Download page
  1. It will display different installers for different OS types. Select the appropriate option and download the RStudio:
RStudio Download page
  1. Install RStudio by double-clicking on the downloaded packages. For Windows users, follow the onscreen instructions to install the application:
RStudio Installation page
  1. For Mac users, simply drag the RStudio icon to the Applications folder.
  2. Start RStudio:
The RStudio console

Perform the following steps for downloading and installing RStudio for Ubuntu/Debian and RedHat/CentOS users:

For Debian(6+)/Ubuntu(10.04+) 32 bit:

$ wget http://download1.rstudio.org/rstudio-0.98.1091-i386.deb
$ sudo gdebi rstudio-0.98. 1091-i386.deb  

For Debian(6+)/Ubuntu(10.04+) 64 bit:

$ wget http://download1.rstudio.org/rstudio-0.98. 1091-amd64.deb
$ sudo gdebi rstudio-0.98. 1091-amd64.deb  

For RedHat/CentOS(5,4+) 32 bit:

$ wget http://download1.rstudio.org/rstudio-0.98. 1091-i686.rpm
$ sudo yum install --nogpgcheck rstudio-0.98. 1091-i686.rpm  

For RedHat/CentOS(5,4+) 64 bit:

$ wget http://download1.rstudio.org/rstudio-0.98. 1091-x86_64.rpm
$ sudo yum install --nogpgcheck rstudio-0.98. 1091-x86_64.rpm  

How it works...

The RStudio program can be run on the desktop or through a web browser. The desktop version is available for the Windows, macOS X, and Linux platforms with similar operations across all platforms. For Windows and macOS users, after downloading the precompiled package of RStudio, follow the onscreen instructions, shown in the preceding steps, to complete the installation. Linux users may use the package management system provided for installation.

See also

  • In addition to the desktop version, users may install a server version to provide access to multiple users. The server version provides a URL that users can access to use the RStudio resources. To install RStudio, please refer to the following link: http://www.rstudio.com/ide/download/server.html. This page provides installation instructions for the following Linux distributions: Debian (6+), Ubuntu (10.04+), RedHat, and CentOS (5.4+).
  • For other Linux distributions, you can build RStudio from the source code.
You have been reading a chapter from
Machine Learning with R Cookbook, Second Edition - Second Edition
Published in: Oct 2017
Publisher: Packt
ISBN-13: 9781787284395
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime