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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.
- Sales Rank: #336983 in Books
- Published on: 2009-07-01
- Released on: 2009-07-01
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .55" w x 6.10" l, .75 pounds
- Binding: Paperback
- 220 pages
Most helpful customer reviews
51 of 53 people found the following review helpful.
A a great start
By I Teach Typing
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.
27 of 28 people found the following review helpful.
A great introduction to a powerful program
By BlueDaisy
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.
17 of 17 people found the following review helpful.
R-rrghhhh!
By Peter Butchko
I agree with the "Frustrating" review. This book and its accompanying files on the website definitely need some work. For being so pricey, I expected a more clearly written and edited text. I mean,it does say, "Beginner's Guide...," right?
For example, the section on Setting the Working Directory on page 21 did not make sense to me until I figured out from other sources how and why you need to set a directory. I am, after all, a beginner!
Some explanations end with a comment such as, "The reader can search the help files by typing ?.... " As I found out, these help files are NOT for beginners.
Then there is the lack of editing. First, there are simple mistakes. Page 21: date instead of data; page 61: "you can put spaces between the $ sign and the variable (and then they show you an example with no spaces!); page 82: str(Deer) is shown with the same output as names(Deer); page 90: ...In Chapter 2, we... should be .. In Chapter 3; on the same page, "forpch" should read "for pch"; page 99: ...asterisk in the chapter title.. (there isn't one); page 111: 4:24 should be 5:24; page 112: "X1 equals 1" should be "X1 equals 0"; page 116: "Zero" should be "Zeros"; page 117: explanatory should be environmental; page 117 again: The summation appears to run from i to m, but should be a sum over j from 1 to m; etc, etc, etc--you get the idea.
Then there is just rambling on about which functions support the data option on page 60. Very confusing for novices (yours truly). As another example, in the section on Recoding Categorical Variables on page 71, the output of Squid$fSex is the same as the output of Squid$Sex, except that it shows the Levels 1 and 2. So why not use the unique function they gave earlier? Further on, they say the output is shorter using predefined nominal variables, but the outputs from the examples using summary M1 vs M2 are almost identical! And the later comment that, "Releveling is also useful for conducting a posthoc test in linear regression," is not exactly a "statistics-free" explanation.
While is useful that they publish the answers to all of the end-of-chapter exercises, many of the answers are prefaced with, "Once you have read a later chapter, it will be much easier to do it this other way...."
In addition,some of the files supplied at the website won't work as written, which the authors admit in the Answer File. For example, Section 3.7 Exercise 1. Were they in that much of a hurry to get things to press? In the solution they give to this same exercise, they suggest using read.csv to read data files in, but in the book there is no mention of the read.csv function.
Further along (Chapter 6), the section on Functions is baffling. They suggest doing Exercise 2 on page 109 "to guide you through the R code....," but the ifelse function they say to use in that Exercise is not introduced until page 117! Really!? When you need a decent explanation, it's not there. For example, on page 121, in the code that calculates "prop." It appears that prop takes the 45x75 matrix Species and divides each of the j elements in the ith row by the corresponding ith element of the 45-element column matrix RS. Not exactly intuitive, and an explanation would definitely be helpful.
I understand some frustration is a normal part of learning, but for over fifty bucks you expect a better product, especially in a "beginner's guide."
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