Beginning R: The Statistical Programming Language

Overview

Gain better insight into your data using the power of R

While R is very flexible and powerful, it is unlike most of the computer programs you have used. In order to unlock its full potential, this book delves into the language, making it accessible so you can tackle even the most complex of data analysis tasks. Simple data examples are integrated throughout so you can explore the capabilities and versatility of R. Along the way, you'll also learn how to carry out a range of ...

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Beginning R: The Statistical Programming Language

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Overview

Gain better insight into your data using the power of R

While R is very flexible and powerful, it is unlike most of the computer programs you have used. In order to unlock its full potential, this book delves into the language, making it accessible so you can tackle even the most complex of data analysis tasks. Simple data examples are integrated throughout so you can explore the capabilities and versatility of R. Along the way, you'll also learn how to carry out a range of commonly used statistical methods, including Analysis of Variance and Linear Regression. By the end, you'll be able to effectively and efficiently analyze your data and present the results.

Beginning R:

  • Discusses how to implement some basic statistical methods such as the t-test, correlation, and tests of association
  • Explains how to turn your graphs from merely adequate to simply stunning
  • Provides you with the ability to define complex analytical situations
  • Demonstrates ways to make and rearrange your data for easier analysis
  • Covers how to carry out basic regression as well as complex model building and curvilinear regression
  • Shows how to produce customized functions and simple scripts that can automate your workflow

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Product Details

  • ISBN-13: 9781118164303
  • Publisher: Wiley
  • Publication date: 6/13/2012
  • Edition number: 1
  • Pages: 504
  • Sales rank: 246,162
  • Product dimensions: 7.30 (w) x 9.20 (h) x 0.60 (d)

Read an Excerpt

Beginning R

The Statistical Programming Language
By Mark Gardener

John Wiley & Sons

Copyright © 2012 John Wiley & Sons, Ltd
All right reserved.

ISBN: 978-1-1181-6430-3


Chapter One

Introducing R: What It Is and How to Get It

WHAT YOU WILL LEARN IN THIS CHAPTER:

* Discovering what R is

* How to get the R program

* How to install R on your computer

* How to start running the R program

* How to use the help system and find help from other sources

* How to get additional libraries of commands

R is more than just a program that does statistics. It is a sophisticated computer language and environment for statistical computing and graphics. R is available from the R-Project for Statistical Computing website (www.r-project.org), and following is some of its introductory material:

R is an open-source (GPL) statistical environment modeled after S and S-Plus. The S language was developed in the late 1980s at AT&T labs. The R project was started by Robert Gentleman and Ross Ihaka (hence the name, R) of the Statistics Department of the University of Auckland in 1995. It has quickly gained a widespread audience. It is currently maintained by the R core-development team, a hard-working, international team of volunteer developers. The R project webpage is the main site for information on R. At this site are directions for obtaining the software, accompanying packages, and other sources of documentation.

R is a powerful statistical program but it is first and foremost a programming language. Many routines have been written for R by people all over the world and made freely available from the R project website as "packages." However, the basic installation (for Linux, Windows or Mac) contains a powerful set of tools for most purposes.

Because R is a computer language, it functions slightly differently from most of the programs that users are familiar with. You have to type in commands, which are evaluated by the program and then executed. This sounds a bit daunting to many users, but the R language is easy to pick up and a lot of help is available. It is possible to copy and paste in commands from other applications (for example: word processors, spreadsheets, or web browsers) and this facility is very useful, especially if you keep notes as you learn. Additionally, the Windows and Macintosh versions of R have a graphical user interface (GUI) that can help with some of the basic tasks.

R can deal with a huge variety of mathematical and statistical tasks, and many users find that the basic installation of the program does everything they need. However, many specialized routines have been written by other users and these libraries of additional tools are available from the R website. If you need to undertake a particular type of analysis, there is a very good chance that someone before you also wanted to do that very thing and has written a package that you can download to allow you to do it.

R is open source, which means that it is continually being reviewed and improved. R runs on most computers—installations are available for Windows, Macintosh, and Linux. It also has good interoperability, so if you work on one computer and switch to another you can take your work with you.

R handles complex statistical approaches as easily as more simple ones. Therefore once you know the basics of the R language, you can tackle complex analyses as easily as simple ones (as usual it is the interpretation of results that can be the really hard bit).

GETTING THE HANG OF R

R is unlike most current computer programs in that you must type commands into the console window to carry out most tasks you require. Throughout the text, the use of these commands is illustrated, which is indeed the point of the book.

Where a command is illustrated in its basic form, you will see a fixed width font to mimic the R display like so:

help.start()

When the use of a particular command is illustrated, you will see the user-typed input illustrated by beginning the lines with the > character, which mimics the cursor line in the R console window like so:

> data1 = c(3, 5, 7, 5, 3, 2, 6, 8, 5, 6, 9)

Lines of text resulting from your actions are shown without the cursor character, once again mimicking the output that you would see from R itself:

> data1 [1] 3 5 7 5 3 2 6 8 5 6 9

So, in the preceding example the first line was typed by the user and resulted in the output shown in the second line. Keep these conventions in mind as you are reading this chapter and they will come into play as soon as you have R installed and are ready to begin using it!

The R Website

The R website at www.r-project.org is a good place to visit to obtain the R program. It is also a good place to look for help items and general documentation as well as additional libraries of routines. If you use Windows or a Mac, you will need to visit the site to download the R program and install it. You can also find installation files for many Linux versions on the R website.

The R website is split into several parts; links to each section are on the main page of the site. The two most useful for beginners are the Documentation and Download sections.

In the Documentation section (see Figure 1-1) a Manuals link takes you to many documents contributed to the site by various users. Most of these are in HTML and PDF format. You can access these and a variety of help guides under Manuals d Contributed Documentation. These are especially useful for helping the new user to get started. Additionally, a large FAQ section takes you to a list that can help you find answers to many question you might have. There is also a Wiki, and although this is still a work in progress, it is a good place to look for information on installing R on Linux systems.

In the Downloads section you will find the links from which you can download R. The following section goes into more detail on how to do this.

Downloading and Installing R from CRAN

The Comprehensive R Archive Network (CRAN) is a network of websites that host the R program and that mirror the original R website. The benefit of having this network of websites is improved download speeds. For all intents and purposes, CRAN is the R website and holds downloads (including old versions of software) and documentation (e.g. manuals, FAQs). When you perform searches for R-related topics on the internet, adding CRAN (or R) to your search terms increases your results. To get started downloading R, you'll want to perform the following steps:

1. Visit the main R web page (www.r-project.org); you see a Getting Started box with a link to download R (see Figure 1-2). Click that link and you are directed to select a local CRAN mirror site from which to download R.

2. The starting page of the CRAN website appears once you have selected your preferred mirror site. This page has a Software section on the left with several links. Choose the R Binaries link to install R on your computer (see Figure 1-3). You can also click the link to Packages, which contains libraries of additional routines. However, you can install these from within R so you can just ignore the Packages link for now. The Other link goes to a page that lists software available on CRAN other than the R base distribution and regular contributed extension packages. This link is also unnecessary for right now and can be ignored as well.

3. Once you click the R Binaries link you move to a simple directory containing folders for a variety of operating system (see Figure 1-4). Select the appropriate operating system on which you will be downloading R and follow the link to a page containing more information and the installation files that you require.

The details for individual operating systems vary, so the following sections are split into instructions for each of Windows, Macintosh, and Linux.

Installing R on Your Windows Computer

The install files for Windows come bundled in an .exe file, which you can download from the windows folder (refer to Figure 1-4). Downloading the .exe file is straightforward (see Figure 1-5), and you can install R simply by double-clicking the file once it is on your computer.

Run the installer with all the default settings and when it is done you will have R installed.

Versions of Windows post XP require some of additional steps to make R work properly. For Vista or later you need to alter the properties of the R program so that it runs with Administrator privileges. To do so, follow these steps:

1. Click the Windows button (this used to be labeled Start).

2. Select Programs.

3. Choose the R folder.

4. Right-click the R program icon to see an options menu (see Figure 1-6).

5. Select Properties from the menu. You will then see a new options window.

6. Under the Compatibility tab, tick the box in the Privilege Level section (see Figure 1-7) and click OK.

7. Run R by clicking the Programs menu, shortcut, or quick-launch icon like any other program. If the User Account Control window appears (see Figure 1-8), select Yes and R runs as normal.

Now R is set to run with administrator access and will function correctly. This is important, as you see later. R will save your data items and a history of the commands you used to the disk and it cannot do this without the appropriate access level.

Installing R on Your Macintosh Computer

The install files for OS X come bundled in a DMG file, which you can download from the macosx folder (refer to Figure 1-4).

Once the file has downloaded it may open as a disk image or not (depending how your system is set up). Once the DMG file opens you can double-click the installer file and installation will proceed (see Figure 1-9). Installation is fairly simple and no special options are required. Once installed, you can run R from Applications and place it in the dock like any other program.

Installing R on Your Linux Computer

If you are using a Linux OS, R runs through the Terminal program. Downloadable install files are available for many Linux systems on the R website (see Figure 1-10). The website also contains instructions for installation on several versions of Linux. Many Linux systems also support a direct installation via the Terminal.

The major Linux systems allow you to install the R program directly from the Terminal, and R files are kept as part of their software repositories. These repositories are not always very up-to-date however, so if you want to install the very latest version of R, look on the CRAN website for instructions and an appropriate install file. The exact command to install direct from the Terminal varies slightly from system to system, but you will not go far wrong if you open the Terminal and type R into it. If R is not installed (the most likely scenario), the Terminal may well give you the command you need to get it (see Figure 1-11)!

In general, a command along the following lines will usually do the trick:

sudo apt-get install r-base-core

In Ubuntu 10.10, for example, this installs everything you need to get started. In other systems you may need two elements to install, like so:

sudo apt-get install r-base r-base-dev

The basic R program and its components are built from the r-base part. For many purposes this is enough, but to gain access to additional libraries of routines the r-base-dev part is needed. Once you run these commands you will connect to the Internet and the appropriate files will be downloaded and installed.

Once R is installed it can be run through the Terminal program, which is found in the Accessories part of the Applications menu. In Linux there is no GUI, so all the commands must be typed into the Terminal window.

RUNNING THE R PROGRAM

Once R is installed you can run it in a variety of ways:

* In Windows the program works like any other—you may have a desktop shortcut, a quick launch icon, or simply get to it via the Start button and the regular program list.

* On a Macintosh the program is located in the Applications folder and you can drag this to the dock to create a launcher or create an alias in the usual manner.

* On Linux the program is launched via the Terminal program, which is located in the Accessories section of the Applications menu.

Once the R program starts up you are presented with the main input window and a short introductory message that appears a little different on each OS:

* In Windows a few menus are available at the top as shown in Figure 1-12.

* On the Macintosh OS X, the welcome message is the same (see Figure 1-13). In this case you also have some menus available and they are broadly similar to those in the Windows version. You also see a few icons; these enable you to perform a few tasks but are not especially useful. Under these icons is a search box, which is useful as an alternative to typing in help commands (you look at getting help shortly).

* In Linux systems there are no icons and the menu items you see relate to the Terminal program rather than R itself (see Figure 1-14).

R is a computer language, and like any other language you must learn the vocabulary and the grammar to make yourself understood and to carry out the tasks you want. Getting to know where help is available is a good starting point, and that is the subject of the next section.

FINDING YOUR WAY WITH R

Finding help when you are starting out can be a daunting prospect. A lot of material is available for help with R and tracking down the useful information can take a while. (Of course, this book is a good starting point!) In the following sections you see the most efficient ways to access some of the help that is available, including how to access additional libraries that you can use to deal with the tasks you have.

Getting Help via the CRAN Website and the Internet

The R website is a good place to find material that supports your learning of R. Under the Manuals link are several manuals available in HTML or as PDF. You'll also find some useful beginner's guides in the Contributed Documentation section. Different authors take different approaches, and you may find one suits you better than another. Try a few and see how you get on. Additionally, preferences will change as your command of the system develops. There is also a Wiki on the R website that is a good reference forum, which is continually updated.

The Help Command in R

R contains a lot of built-in help, and how this is displayed varies according to which OS you are using and the options (if any) that you set. The basic command to bring up help is:

help(topic)

Simply replace topic with the name of the item you want help on. You can also save a bit of typing by prefacing the topic with a question mark, like so:

?topic

You can also access the help system via your web browser by typing:

help.start()

This brings up the top-level index page where you can use the Search Engine & Keywords hyperlink to find what you need. This works for all the different operating systems. Of course, you need to know what command you are looking for to begin with. If you are not quite sure, you can use the following command:

apropos('partword')

This searches through the help files for matches to the word you typed, you replace 'partword' with the text you want to search for. Note that unlike the previous help() command you do need the quotes (single or double quotes are fine as long as they match).

Help for Windows Users

The Windows default help generally works fine (see Figure 1-15), but the Index and Search tabs only work within the section you are in, and it is not possible to get to the top level in the search hierarchy. If you return to the main command window and type in another help command, a new window opens so it is not possible to scroll back through entries unless they are in the same section.

Once you are done with your help window, you can close it by clicking the red X button.

Help for Macintosh Users

In OS X the default help appears in a separate window as HTML text (see Figure 1-16). The help window acts like a browser and you can use the arrow buttons to return to previous topics if you follow hyperlinks. You can also type search terms into the search box.

Scrolling to the foot of the help entry enables you to jump to the index for that section (Figure 1-17). Once at the index you can jump further up the hierarchy to reach other items.

The top level you can reach is identical to the HTML version of the help that you get if you type the help.start() command (see Figure 1-18), except that it is in a dedicated help window rather than your browser.

Once you are finished you can close the window in the usual manner by clicking the red button. If you return to the main command window and type another help item, the original window alters to display the new help. You can return to the previous entries using the arrow buttons at the top of the help window.

(Continues...)



Excerpted from Beginning R by Mark Gardener Copyright © 2012 by John Wiley & Sons, Ltd. Excerpted by permission of John Wiley & Sons. All rights reserved. No part of this excerpt may be reproduced or reprinted without permission in writing from the publisher.
Excerpts are provided by Dial-A-Book Inc. solely for the personal use of visitors to this web site.

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