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You're reading from Advanced Analytics with R and Tableau

Product typeBook

Published inAug 2017

Reading LevelIntermediate

PublisherPackt

ISBN-139781786460110

Edition1st Edition

Languages

Tools

Tableau

Concepts

Business Intelligence

Authors (3):

Ruben Oliva Ramos

Jen Stirrup

Roberto Rösler

View More author details

RStudio

The R interface is not particularly intuitive for beginners. For this reason, RStudio IDE, the desktop version, is an excellent option for interacting with R. The download and installation sequence is provided.

There are two versions; the RStudio Desktop version, and the paid RStudio Server version. In this book, we will focus on the RStudio Desktop IDE option, which is open source.

Prerequisites for RStudio installation

In this section, RStudio IDE is installed on the Windows 10 operating system:

To download RStudio, you can retrieve it from https://www.rstudio.com/products/rstudio-desktop/.
Once you have downloaded RStudio, double-click on the file to start the installation. This will display the RStudio Setup and Welcome page. Click Next to continue:
The next option allows the user to configure the installation location for RStudio. Here, the default option has been retained. If you do change the location, you can click Browse to select your preferred installation folder. Once you've selected your folder, click Next to continue to the next step.
In the next step, RStudio shortcuts are specified. Click on Install to proceed:
RStudio installs in the next step:
Once completed, launch RStudio IDE. You can find it by navigating to Start | All Programs | RStudio | RStudio.exe. Alternatively, you can type RStudio into the Cortana search box. If you specified a custom installation directory, then you can find RStudio as an EXE file. The default installation directory for RStudio IDE is C:\Program Files\RStudio\bin\rstudio.exe.
Type help.start() at the RStudio prompt and press Enter. If you can see the help files on the screen then you have successfully installed and configured RStudio IDE to run with R.

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Advanced Analytics with R and Tableau

Published in: Aug 2017Publisher: PacktISBN-13: 9781786460110

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Authors (3)

Ruben Oliva Ramos

Ruben Oliva Ramos is a computer systems engineer from Tecnologico de Leon Institute, with a master's degree in computer and electronic systems engineering and a specialization in teleinformatics and networking from the University of Salle Bajio in Leon, Guanajuato, Mexico. He has more than 5 years of experience of developing web applications to control and monitor devices connected with Arduino and Raspberry Pi, using web frameworks and cloud services to build the Internet of Things applications. He is a mechatronics teacher at the University of Salle Bajio and teaches students of the master's degree in design and engineering of mechatronics systems. Ruben also works at Centro de Bachillerato Tecnologico Industrial 225 teaching subjects such as electronics, robotics and control, automation, and microcontrollers. He is a consultant and developer for projects in areas such as monitoring systems and datalogger data using technologies (such as Android, iOS, HTML5, and ASP.NET), databases (such as SQlite, MongoDB, and MySQL), web servers, hardware programming, and control and monitor systems for data acquisition and programming.
Read more about Ruben Oliva Ramos

Jen Stirrup

Jen Stirrup is a data strategist and technologist, a Microsoft Most Valuable Professional (MVP), and a Microsoft Regional Director, a tech community advocate, a public speaker and blogger, a published author, and a keynote speaker. Jen is the founder of a boutique consultancy based in the UK, Data Relish, which focuses on delivering successful business intelligence and artificial intelligence solutions that add real value to customers worldwide. She has featured on the BBC as a guest expert on topics relating to data.
Read more about Jen Stirrup

Roberto Rösler

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