Paul Teetor
John Wiley & Sons
e druk, 2011
9781449303235
25 Recipes for Getting Started with R
Specificaties
Paperback, 58 blz.
|
Engels
John Wiley & Sons |
e druk, 2011
ISBN13: 9781449303235
Rubricering
Juridisch
:
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9781449303235
Taal:Engels
Bindwijze:paperback
Aantal pagina's:58
Uitgever:John Wiley & Sons
Hoofdrubriek:Automatisering algemeen, Computer en informatica
Inhoudsopgave
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;
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;
Net verschenen
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