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R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression.
You'll find recipes on reading data files, creating data frames, computing basic statistics, testing means and correlations, creating a scatter plot, performing simple linear regression, and many more. These solutions were selected from O'Reilly's R Cookbook, which contains more than 200 recipes for R that you'll find useful once you move beyond the basics.
Preface;
Other Resources;
Downloading Additional Packages;
Software and Platform Notes;
Conventions Used in This Book;
Using Code Examples;
Safari® Books Online;
How to Contact Us;
Chapter 1: The Recipes;
1.1 Downloading and Installing R;
1.2 Getting Help on a Function;
1.3 Viewing the Supplied Documentation;
1.4 Searching the Web for Help;
1.5 Reading Tabular Datafiles;
1.6 Reading from CSV Files;
1.7 Creating a Vector;
1.8 Computing Basic Statistics;
1.9 Initializing a Data Frame from Column Data;
1.10 Selecting Data Frame Columns by Position;
1.11 Selecting Data Frame Columns by Name;
1.12 Forming a Confidence Interval for a Mean;
1.13 Forming a Confidence Interval for a Proportion;
1.14 Comparing the Means of Two Samples;
1.15 Testing a Correlation for Significance;
1.16 Creating a Scatter Plot;
1.17 Creating a Bar Chart;
1.18 Creating a Box Plot;
1.19 Creating a Histogram;
1.20 Performing Simple Linear Regression;
1.21 Performing Multiple Linear Regression;
1.22 Getting Regression Statistics;
1.23 Diagnosing a Linear Regression;
1.24 Predicting New Values;
1.25 Accessing the Functions in a Package;
Anonymous
Posted Tue Dec 06 00:00:00 EST 2011
25 Recipes for Getting Started with R is a collection of short introductory tutorials ("recipes") derived from the R Cookbook by the same author. The goal is to show the reader how to perform basic tasks in R, a language for statistical analysis.Starting with the obligatory "installing R", the book moves through reading data files of various types, then it's off to recipes on various statistical functions. The recipe format is generally useful, making use of straightforward examples, then referring the reader to R's documentation for more detailed information.Be aware that this is not a statistics tutorial and no attempt is made to explain, for example, *why* you might want to compare the mean of two samples; the book simply tells you how to do something like that in R.I appreciated the author's ability to provide examples which did not involve unnecessary complications - each recipe solves the stated problem without requiring the reader to delve into tangential topics. This can be exactly what you need when starting out. The potential downside, of course, is that a book like this may not be a "keeper" once past the novice stage. Readers who intend to use R extensively would likely prefer to purchase the R Cookbook, which can provide a little more depth.Disclaimer, I received access to an electronic copy of this book for purposes of review.
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Overview
R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression.
You'll find recipes on reading data files, creating data frames, computing basic statistics, testing means and correlations, creating a scatter plot, ...