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A Beginner's Guide to R (Use R)

A Beginner's Guide to R (Use R)Authors: Alain F. Zuur, Elena N. Ieno, Erik H.W.G. Meesters
Publisher: Springer

List Price: $59.95
Buy New: $50.77
as of 11/8/2009 02:28 CST details
You Save: $9.18 (15%)



New (18) Used (7) from $48.18

Seller: thebookgrove
Rating: 4.5 out of 5 stars 2 reviews
Sales Rank: 32240

Media: Paperback
Edition: 1
Pages: 220
Number Of Items: 1
Shipping Weight (lbs): 0.8
Dimensions (in): 9.1 x 6.1 x 0.7

ISBN: 0387938362
Dewey Decimal Number: 519
EAN: 9780387938363
ASIN: 0387938362

Publication Date: July 1, 2009
Availability: Usually ships in 1-2 business days

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Editorial Reviews:

Product Description

Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum. The text covers how to download and install R, import and manage data, elementary plotting, an introduction to functions, advanced plotting, and common beginner mistakes. This book contains everything you need to know to get started with R.

“Its biggest advantage is that it aims only to teach R...It organizes R commands very efficiently, with much teaching guidance included. I would describe this book as being handy--it’s the kind of book that you want to keep in your jacket pocket or backpack all the time, ready for use, like a Swiss Army knife.” (Loveday Conquest, University of Washington)

“Whilst several books focus on learning statistics in R..., the authors of this book fill a gap in the market by focusing on learning R whilst almost completely avoiding any statistical jargon...The fact that the authors have very extensive experience of teaching R to absolute beginners shines throughout.” (Mark Mainwaring, Lancaster University)

“Exactly what is needed...This is great, nice work. I love the ecological/biological examples; they will be an enormous help.” (Andrew J. Tyne, University of Nebraska-Lincoln)




Customer Reviews:
5 out of 5 stars A great introduction to a powerful program   August 23, 2009
BlueDaisy (Northern US)
4 out of 4 found this review helpful

As the previous poster noted, if you are new to R, and especially if you are new to programming, this is the book for you. R is a very powerful statistical language with a steep learning curve if you attempt to master it on your own. For those who are used to black-box statistical programs, R can be intimidating since the user must enter syntax rather than relying on point-and-click programs.

The authors' experience in teaching R to all levels of users shines throughout this informative and friendly handbook. They show how to perform routine statistical tasks in a step-by-step format, describing common mistakes and remedies which alone are worth the price of the book.

I strongly advise that newcomers to R take an afternoon to work systematically through the book rather than treating it like a set of recipes for programming to pick through as needed. This approach will build confidence and competence, and will save considerable time when work is due. I wish I had had this book when I first encountered R, and even after years of use, I found more efficient methods in this book than ones I had picked up along the way. Excellent.



4 out of 5 stars A a great start   July 27, 2009
I Teach Typing (Stanford, CA USA)
7 out of 7 found this review helpful

If you want to start (from scratch) to learn to use R for data manipulation and graphics get this book. The authors say, in the forward, that it was designed to support a 3 day (8 hour per day) introduction to the R language without teaching statistics and it does a fabulous job. It covers R data types and data manipulation nearly as well as my favorite book on the topic Data Manipulation with R (Use R) but it also does a good job covering basic plots (all the typical one or two variable plots) out to intermediate graphics (making a lattice with lots of pictures) (a good next step for graphics is Data Analysis and Graphics Using R: An Example-based Approach (Cambridge Series in Statistical and Probabilistic Mathematics)) and also gives a very accessible introduction to applying functions to sets of variables and the R version of looping.

The organization and flow are excellent. Each chapter has many exercises and as you read their are pointers saying to go try the corresponding problems. There is no answer key for the problems but they are so closely tied to the material that should not be a major issue.

The index is okay but not good because there are functions used in the body of the book that are not indexed and it is missing an overall summary index/table that covers all the functions.

If the publisher will clean up the indexing, so that it is easier to return and find the information in the book, it is a solid 5 star product. Another possible complaint is that it is very expensive for a 200 page paperback but the quality of the writing offsets for the bloated price.





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