The R Book Author: Michael J. Crawley | Language: English | ISBN:
B00APJWGYY | Format: EPUB
The R Book Description
Hugely successful and popular text presenting an extensive and comprehensive guide for all R users
The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research.
This edition:
- Features full colour text and extensive graphics throughout.
- Introduces a clear structure with numbered section headings to help readers locate information more efficiently.
- Looks at the evolution of R over the past five years.
- Features a new chapter on Bayesian Analysis and Meta-Analysis.
- Presents a fully revised and updated bibliography and reference section.
- Is supported by an accompanying website allowing examples from the text to be run by the user.
Praise for the first edition:
‘…if you are an R user or wannabe R user, this text is the one that should be on your shelf. The breadth of topics covered is unsurpassed when it comes to texts on data analysis in R.’ (The American Statistician, August 2008)
‘The High-level software language of R is setting standards in quantitative analysis. And now anybody can get to grips with it thanks to The R Book…’ (
Professional Pensions, July 2007)
- File Size: 28170 KB
- Print Length: 1076 pages
- Publisher: Wiley; 2 edition (November 7, 2012)
- Sold by: Amazon Digital Services, Inc.
- Language: English
- ASIN: B00APJWGYY
- Text-to-Speech: Enabled
X-Ray:
- Lending: Enabled
- Amazon Best Sellers Rank: #103,024 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
- #47
in Kindle Store > Kindle eBooks > Nonfiction > Science > Mathematics > Applied > Probability & Statistics - #48
in Kindle Store > Kindle eBooks > Nonfiction > Professional & Technical > Professional Science > Mathematics > Applied > Statistics
- #47
in Kindle Store > Kindle eBooks > Nonfiction > Science > Mathematics > Applied > Probability & Statistics - #48
in Kindle Store > Kindle eBooks > Nonfiction > Professional & Technical > Professional Science > Mathematics > Applied > Statistics
... And I am referring to more advanced statistics than data summarization, and I am also distinguishing statistics from machine learning (or "statistical learning", as Hastie and Tibshirani call it) methods. "The R Book" provides a reliable introduction to R, although I prefer Robert Kabacoff's "R in Action", and, secondly, think that "R for Everyone" by Jared Lander is a necessary intermediate read, as both "R Book" and "R in Action", unfortunately, skip over some very useful utilities, including "ggplot2" graphics package.
By Dimitri Shvorob
I have bought 20+ books from Amazon and never written a comment and never returned for a refund ... until now. I felt compelled to write something.
It is not a bad book. It is a substantial, complete and reasonably in-depth book with broad coverage. There are only two points I want to make:
(1) Lots of typos. Well, not only typos. As another customer wrote, this book looks like it has never been proof-read and its codes have been test-run. Sometimes, it is written in a way serves to remind but not to explain.
(2) Yes, it covers all essential topics to get you started, but does not present them in a logical order. For example, in the example given in explaining Boolean vector multiplying a scalar (a very elementary topic), guess what "scalar" the author made up? Instead of just a simple number, he used "runif( )" which is a uniformly distribution random number, only to find out that the function "runif( )" has not been introduced until several chapters later. In the very chapter that introduces string data type, he came up with examples involving the not-so-elementary functions "lapply( )" and "sapply( )" without explaining what they are.
Simply stated, it cannot be the first book in learning R. It simply doesn't work out.
By George
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