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'sR 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;
Paul Teetor is a quantitative developer with Masters degrees in statistics and computer science. He specializes in analytics and solă,
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