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You're reading from Regression Analysis with R

Product typeBook

Published inJan 2018

Reading LevelIntermediate

PublisherPackt

ISBN-139781788627306

Edition1st Edition

Languages

Concepts

Predictive Analytics

Author (1)

Giuseppe Ciaburro

Installing R

After that detailed description of the programming environment R, it is time to install it on our machine. To do this, we will have to get the installation package first.

Note

The packages we will need to install are available on the official website of the language, Comprehensive R Archive Network (CRAN), at the following URL: https://www.r-project.org/.

CRAN is a network of File Transfer Protocol (FTP) and web servers located around the world that stores identical source and documentation versions of R. CRAN is directly accessible from R's site, and on this site you can also find information about R, some technical manuals, the R magazine, and details about R-developed packages that are stored in CRAN repositories.

Of course, before you download the software versions, we will have to inform you of the type of machine you need and the operating system that must be installed on it. Remember, however, that R is practically available for all operating systems in circulation. In the following screenshot, the CRAN web page is shown:

In the drafting period of this book, the current version of the environment R is 3.4.1, which represents the stable one, and that is why, in the examples that will accompany us in the subsequent sections, we will refer to that version.

The following list shows the OSs supported:

Windows
macOS
Unix

In computer science, installation is the procedure whereby the software is copied and configured on the machine. Generally, the software is distributed as a compressed file package, which includes an interface that facilitates and automates the installation (installer).

The installation creates folders on the disk, where all the files used for the program configuration are contained, and the links to make it easier to execute and write the necessary configuration parameters. In the following screenshot, we can see CRAN with all the tools needed for proper software installation:

There are essentially two ways to install R:

Using existing distributions in the form of binaries
Using source code

Using precompiled binary distribution

Binary distribution is the simplest choice; it works on most machines and will be the one we will use to make the job as simple as possible. This is a compiled version of R which can be downloaded and installed directly on our system.

Installing on Windows

For the Windows operating system, this version looks like a single EXE file (downloadable from the CRAN site), which can be easily installed with a double-click on it and by following the few steps of the installation. These are the automated installation procedures, the so-called installers, through which the installation phase of the software is reduced by the user to the need to have clicked on the buttons a number of times. Once the process is completed, you can start using R via the icon that will appear on the desktop or through the link available in the list of programs that can be used in our system.

Installing on macOS

Similarly, for macOS, R is available with a unique installation file with a PKG extension; it can be downloaded and installed on our system. The following screenshot shows the directory containing binaries for a base distribution and packages to run on macOS X (release 10.6 and later) extracted from the CRAN website:

Installing on Linux

For a Linux system, there are several versions of the installation file. In the download section, you must select the appropriate version of R, according to the Linux distribution installed on your machine. Installation packages are available in two main formats, .rpm file for Fedora, SUSE, and Mandriva, and .deb extensions for Ubuntu, Debian, and Linux Mint.

Installation from source code

R's installation from source code is available for all supported platforms, though it is not as easy to perform compared to the binary distribution we've just seen. It is especially hard on Windows, since the installation tools are not part of the system.

Note

Detailed information on installation procedures from source code for Windows, and necessary tools, are available on the CRAN website, at https://cran.r-project.org/doc/manuals/r-release/R-admin.html.

On Unix-like systems, the process, on the other hand, is much simpler; the installation must be done following the usual procedure, which uses the following commands:

./configure
make
make install

These commands, assuming that compilers and support libraries are available, lead to the proper installation of the R environment on our system.

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Regression Analysis with R

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Author (1)

Giuseppe Ciaburro

Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).
Read more about Giuseppe Ciaburro

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