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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


















| Dimensions | 17.78 x 2.08 x 23.34 cm |
| Edition | Revised |
| Isbn 10 | 1449357105 |
| Isbn 13 | 978-1449357108 |
| Item Weight | 1.05 kg |
| Language | English |
| Print Length | 396 pages |
| Publication Date | 20 Sept. 2013 |
| Publisher | O′Reilly |
User
Excellent book, especially if you are completely new to ...
Excellent book, especially if you are completely new to R. In hind-sight, I would make this the first book to read about R before moving to other books (no single book on R will ever be sufficient, in my opinion) The exercises are a bonus.
User
Really good quality.
Item arrived on time. Really good quality.
User
Five Stars
Excellent!
User
Five Stars
Nice layout of material, simple to understand, very good for a beginner
User
One Star
The worst book ever
User
Great introduction to R
This book is tremendous. It takes the reader through R without getting bogged down in an explanation of statistics and data modeling. It even includes chapters at the end on writing your own packages.
User
Not an introductory book
You might find this book confusing and dry if you don't have any programming experiences, even though it says no programming experience is necessary. Explanations on codes and definition are not deep enough, making it hard to grasp the concept.
User
Das mit Abstand beste Einführungsbuch
Zeigt die relevante R-Programmierungstechniken und Plots (ggplot2) für Einsteiger in einer gut verständlichen Art und einer logischen Reihenfolge. Wer keine/geringe Vorkenntnisse in R hat sollte damit starten. Sobald man das geschafft hat, wird man sich - was R als Programmiersprache betrifft - zu helfen wissen.
User
Muy bueno
Llegó en excelentes condiciones
User
Good read!
Good read!
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