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Modern R Programming Cookbook
Modern R Programming Cookbook

Modern R Programming Cookbook: Recipes to simplify your statistical applications

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Profile Icon Jaynal Abedin
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$35.98 $39.99
eBook Oct 2017 236 pages 1st Edition
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$35.98 $39.99
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$48.99
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Arrow left icon
Profile Icon Jaynal Abedin
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$35.98 $39.99
eBook Oct 2017 236 pages 1st Edition
eBook
$35.98 $39.99
Paperback
$48.99
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Renews at $19.99p/m
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$35.98 $39.99
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Modern R Programming Cookbook

Installing and Configuring R and its Libraries

In this chapter, you will be exposed to the recipes on how to install and configure R and its libraries in Windows and Linux platforms. Specifically, you will come across the following recipes:

  • Installing and configuring base R in Windows
  • Installing and configuring base R in Linux
  • Installing and configuring RStudio IDE in Windows
  • Installing and configuring RStudio IDE in Linux
  • Installing and configuring R tools for Visual Studio in Windows
  • Installing R libraries from various sources
  • Installing a specific version of R library

Introduction

It is expected that you have basic knowledge of installing software on the platform that you use regularly. However, it is helpful to have an overview of some technical aspects of installing R and the integrated development environment (IDE) such as RStudio. This chapter will serve as a reference point for the technical issues during installation and configuration of R and its libraries for Windows and Linux platforms. Each of the recipes contains detailed description with the necessary screenshots so that you feel very comfortable, even if you are not in front of your computer. After completing all the recipes of this chapter, you will be confident enough to install R and its libraries in Windows and Linux platforms. So, let’s get started.

Installing and configuring base R in Windows

In this recipe, you will learn to install R in the Windows platform and we will address other necessary configuration issues that are related to the Windows operating system.

Getting ready

To start this recipe, you will need to know your version of the Windows operating system, for example, whether it is Windows 7, 8, or 10. Also, you need to know specific architecture, such as 32-bit or 64-bit. Once you know the particulars of the operating system, you are ready to install base R by following the steps in the next section. Another thing that you need to check is whether R is already installed on your computer or not. You can easily check by inspecting the Start menu or task bar or desktop icon. Now, let's assume that you did not install R previously in your computer and this is the first time you are going to do so.

Once you get detailed information about your operating system, you will need to download the executable file for the Windows operating system. To find the latest version of R, you can visit the Comprehensive R Archive Network (CRAN) at http://cran.r-project.org/. On this web page, you will get to know the latest release of R and other related information.

To download the latest release of R for Windows, perform the following steps:

  1. Visit https://cran.r-project.org/bin/windows/, which will show you the following screen:
  1. On this web page, you will see base under the Subdirectories category. As a first-time user of R, you need to download the executable file from this link.
  2. Once you click on base, you will end up on this page, https://cran.r-project.org/bin/windows/base/ as shown in the following screenshot:
  1. Now, click on Download R 3.x.x (This version number might differ because during preparation of this recipe, the version was 3.3.3) for Windows. The executable file will be downloaded into your local storage.

How to do it...

Once you have downloaded the executable file, you are ready to install it on your computer. Perform the following steps and choose the options accordingly. The screenshots are for your convenience only:

  1. Go to the folder where you have stored the executable file that you have downloaded, by following the instructions in the previous section.
You must have administrator privileges to install the software.
  1. If you have administrator privileges, then just double-click on the executable file, or right-click on the mouse and select Run as administrator:
  1. In Windows 7, it will show a notification with the title User Access Control. In this case, you must choose Yes to proceed.
  2. The first thing it will ask you to do is choose a language, as shown in the following screenshot. Once you select your chosen language, click on the OK button. The R Setup Wizard will appear, and you will see various options to select in different pages:
  1. Click on Next > on this page to proceed with the installation:
  1. On this page, the GNU GENERAL PUBLIC LICENSE information will be displayed, and you will be asked to read and understand the licensing agreement and then click on the Next > button:
  1. Now, you will be asked to choose the destination folder where you want to store the installation files. Usually, by default, it shows C:/Program Files/, and sometimes, it also shows one more level C:/Program Files/R/R-x.x.x. You can keep the default location, or you can choose a separate destination based on your choice. Once you have selected the destination, click on the Next > button:
  1. At this stage, you will get the option to select the component that you want to install. You can choose either 32-bit Files only, 64-bit Files only, or both along with core files and message translation. After selecting the components, again click on the Next > button:
  1. Now, you will be asked whether you want to customize your startup or accept the defaults. The recommended option at this stage is to accept the defaults and click on the Next > button:
  1. You can decide whether you want to create the start menu folder or not and you can specify its name at this stage of installation:
  1. Finally, you will be given the option to choose whether you want to create a desktop icon and also create a quick launch icon. You can specify whether you want to save the version number into the computer's registry or not, and the last option is to associate file name extensions .R and .RData with the software. Once you are done with selecting the options, click on Next > and the installation will be started:

How it works...

Once you follow the steps described in the How to do it… section, the R software will be installed, and it's ready to use. You can open R using either the desktop icon or quick launch icon, or from the Start menu.

However, to do some advanced-level work in R or if you want to open the R console from the Windows Command Prompt, you need to do some configuration that is specific to the operating system. In this subsection, you will see how the configuration works.

If you want to access the R terminal from the Windows Command Prompt, then you must open the Windows Command Prompt, and then type R and press Enter. However, without correctly configuring R, you won't be able to open the R terminal in this way. The following are the steps to configure R:

  1. Right-click on the Computer icon and select Properties from the following screen:
  1. Now, click on Advanced system settings. It will open up the System Properties window as shown in the following screenshot:
  1. At the bottom of the System Properties window, you will see Environment Variables…. Click on it and it will show the following screen:
  1. The Environment Variables window will pop up in which you will see two separate sections, one for User variables and another for System variables.
  2. In the System variables section, select the Path variable and then click on Edit…:
  1. Now, in this Path variable, add the location where you have installed R software. Choose the location where the R.exe and R.dll file belongs, for example, C:\Program Files\R\R-3.3.2\bin\x64.
  2. Put the location at the end of the Path variable after putting in a semicolon (;) and then click on OK on each of the window opened.

Once you have performed the preceding steps, it is the time to check whether you have correctly configured environment variables by performing the following steps:

  1. Go to the Start menu.
  2. Type cmd in the search box.
  3. Then, click on cmd.exe. It will open a black screen called Windows Command Prompt:
  1. Type R and hit Enter. If the R console opens, then everything is alright and you have correctly configured R in Windows:

There's more...

If you want to customize the R console, its display font, font size, and others, you can edit the preferences from the menu. For example, navigate to Edit | GUI preference…. You will see the following screen. You are now able to change anything you want to customize your R console and other things:

See also

In this recipe, you have gone through the steps based on the Windows operating system. If you want to install and configure R for Linux, see the next recipe Installing and configuring base R in Linux.

Installing and configuring base R in Linux

It is not necessarily the case that every user will use Windows platform. In this recipe, you will see how to install and configure R on the Linux platform. Each of the steps is described with an appropriate screenshot so that you can easily understand the steps.

Getting ready

To install R in the Linux operating system, first, you need to know the version of Linux you are using. To know the version of Linux installed on your computer, there are many options. One of the options is the following command:

lsb_release -a

This command will give the release information as shown in the following screenshot:

In this recipe, you will see the example from the Ubuntu 14.04 release.

How to do it...

Once you have the version number, you simply need to install base R onto your computer. The step-by-step procedure is as follows:

  1. Update etc/apt/source.list by adding an entry as follows:
        deb <cran mirror address>/bin/linux/ubuntu trusty/
  1. Replace <cran mirror address> by putting an actual mirror link from the list of available mirrors from https://cran.r-project.org/mirrors.html. Remember that you must have administrator privileges to edit etc/apt/source.list.
  2. Once you have performed the preceding step, type the following command to install R:
      sudo apt-get update
sudo apt-get install r-base
  1. The preceding two commands will complete the installation process and you can check whether R has been installed correctly or not, by typing R and hitting Enter on the Terminal window. If the R console opens, then you are ready to go:
  1. Some of the users may need to compile R packages from the source code. In that case, you will need to install the following component of R:
      sudo apt-get install r-base-dev
Your computer must connect to the internet to install R.

There's more...

In this recipe, you have installed base R into Ubuntu 14.04 release. If your operating system has another release of Linux, then visit https://cran.r-project.org/, select Download R for Linux, and follow the steps outlined there.

See also

To understand how to install an IDE into either Windows or Linux, follow the next recipe.

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Key benefits

  • Develop strategies to speed up your R code
  • Tackle programming problems and explore both functional and object-oriented programming techniques
  • Learn how to address the core problems of programming in R with the most popular R packages for common tasks

Description

R is a powerful tool for statistics, graphics, and statistical programming. It is used by tens of thousands of people daily to perform serious statistical analyses. It is a free, open source system whose implementation is the collective accomplishment of many intelligent, hard-working people. There are more than 2,000 available add-ons, and R is a serious rival to all commercial statistical packages. The objective of this book is to show how to work with different programming aspects of R. The emerging R developers and data science could have very good programming knowledge but might have limited understanding about R syntax and semantics. Our book will be a platform develop practical solution out of real world problem in scalable fashion and with very good understanding. You will work with various versions of R libraries that are essential for scalable data science solutions. You will learn to work with Input / Output issues when working with relatively larger dataset. At the end of this book readers will also learn how to work with databases from within R and also what and how meta programming helps in developing applications.

Who is this book for?

This book is for developers who would like to enhance the R programming skills. Basic knowledge of R programming is assumed.

What you will learn

  • • Install R and its various IDE for a given platform along with installing libraries from different repositories and version control
  • • Learn about basic data structures in R and how to work with them
  • • Write customized R functions and handle recursions, exceptions in R environments
  • • Create the data processing task as a step by step computer program and execute using dplyr
  • • Extract and process unstructured text data
  • • Interact with database management system to develop statistical applications
  • • Formulate and implement parallel processing in R

Product Details

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Publication date : Oct 10, 2017
Length: 236 pages
Edition : 1st
Language : English
ISBN-13 : 9781787288775
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Product Details

Publication date : Oct 10, 2017
Length: 236 pages
Edition : 1st
Language : English
ISBN-13 : 9781787288775
Category :
Languages :

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Table of Contents

9 Chapters
Installing and Configuring R and its Libraries Chevron down icon Chevron up icon
Data Structures in R Chevron down icon Chevron up icon
Writing Customized Functions Chevron down icon Chevron up icon
Conditional and Iterative Operations Chevron down icon Chevron up icon
R Objects and Classes Chevron down icon Chevron up icon
Querying, Filtering, and Summarizing Chevron down icon Chevron up icon
R for Text Processing Chevron down icon Chevron up icon
R and Databases Chevron down icon Chevron up icon
Parallel Processing in R Chevron down icon Chevron up icon
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