Learning R | A Step-By-Step Function Guide to Data Analysis

Richard Cotton

ISBN 10: 1449357105 / ISBN 13: 9781449357108

Published by O'Reilly Media, 2013

About this Item

Learning R | A Step-By-Step Function Guide to Data Analysis | Richard Cotton | Taschenbuch | XIX | Englisch | 2013 | O'Reilly Media | EAN 9781449357108 | Verantwortliche Person für die EU: dpunkt.verlag GmbH, Vanessa Niethammer, Wieblinger Weg 17, 69123 Heidelberg, hallo[at]dpunkt[dot]de | Anbieter: preigu.

Seller Inventory # 106014527

Bibliographic Details

• Title: Learning R | A Step-By-Step Function Guide to Data Analysis
• Publisher: O'Reilly Media
• Publication Date: 2013
• Language: English
• ISBN 10: 1449357105
• ISBN 13: 9781449357108
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 231W x 179H x 25D millimeters 231 millimeters width by 179 millimeters height by 25 millimeters depth
• Weight: 693 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, youâ??ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.

The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what youâ??ve learned, and concludes with exercises, most of which involve writing R code.

• Write a simple R program, and discover what the language can do
• Use data types such as vectors, arrays, lists, data frames, and strings
• Execute code conditionally or repeatedly with branches and loops
• Apply R add-on packages, and package your own work for others
• Learn how to clean data you import from a variety of sources
• Understand data through visualization and summary statistics
• Use statistical models to pass quantitative judgments about data and make predictions
• Learn what to do when things go wrong while writing data analysis code

About the Author

Richie is a data scientist with a background in chemical health and safety, and has worked extensively on tools to give non-technical users access to statistical models. He is the author of the R packages "assertive" for checking the state of your variables and "sig" to make sure your functions have a sensible API. He runs The Damned Liars statistics consultancy.