Free PDF Learning R, by Richard Cotton
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Learning R, by Richard Cotton
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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, you’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 you’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
- Sales Rank: #56023 in Books
- Brand: Brand: O'Reilly Media
- Published on: 2013-09-26
- Released on: 2013-09-26
- Original language: English
- Number of items: 1
- Dimensions: 9.19" h x .82" w x 7.00" l, 1.43 pounds
- Binding: Paperback
- 400 pages
- Used Book in Good Condition
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.
Most helpful customer reviews
23 of 23 people found the following review helpful.
Why Such a Low Rating?
By Kim Jong Un
I was going to give a four-star rating on this book, but seeing all these one and two stars made me give five instead. As someone starting out with R, you shouldn't expect book like this to read like a bible. Learning R is what it is -- a concise and easy tutorial for a beginning R student, and this is exactly what this book delivers. I see that some reviewers suggested R in Action or R for Everyone, and don't get me wrong those are excellent textbooks. The problem with those books is that they contain no exercises, and that could spell a major trouble for undisciplined learners like myself. Learning R, on the other hand, may not be the most comprehensive tome on the subject of R, but it does accomplish what it set out to do --- get started with R and move on to advanced R/data analysis topics -- by breaking down the contents into small chapters and providing review questions and exercises at the end of each chapter.
9 of 11 people found the following review helpful.
Intro to the R language
By IADev
With a background as a developer, I found this book very approachable having not touched R before this book. It remained close to the R language itself and did not veer too deep into statistics. For a programmer new to the language and the topic, I was fine with the subject matter depth. I really liked that the end of each chapter included a quiz as well as exercise portions. The answers are included as part of the Appendix and I think are a good reminder to readers to try out what they just learned. Part of learning new languages is finding about different concepts or how data structures are implemented with different names, functions, or packages. Newer topics to me were data frames and factors. These concepts are explained very well and allowed for me to quickly apply existing knowledge from other languages to make the concepts clear. In my opinion, I really liked the chapters involving getting data and on cleaning and transforming. These chapters are very practical and apply to anyone who has had to parse data in one format to put it into another. Topics like loading packages and data and time coverage are sections that you would expect to be in a book for beginners new to the language and hint at the audience this book is geared toward. It is a good starting point for those totally new to the language who will use this as a foundation to dig deeper for specific tasks later.
Overall conclusion: Good for the programmer interested in learning the R language over in-depth statistics.
Disclaimer: I got a copy of this book for review as part of O'Reilly blogger program.
24 of 32 people found the following review helpful.
There are better options now
By Dimitri Shvorob
The low rating reflects my opinion of the book vis-à-vis the alternatives, not its merits when viewed on its own. My original review was actually robust four stars; I did point to a book which, in my opinion, was a better proposition than "Learning R" - "R in Action" by Robert Kabacoff - but acknowledged a few areas where "Learning R" had the edge. Then "R for Everyone" by Jared Lander came out and, what can I say, I see "R in Action" and "R for Everyone" as the two plausible beginner-to-intermediate-R-book choices, and "Learning R" a very distant third.
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