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A Beginner's Guide to R (Use R!) (Englisch) Taschenbuch – 1. Juli 2009

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  • Taschenbuch: 236 Seiten
  • Verlag: Springer; Auflage: 2009 (1. Juli 2009)
  • Sprache: Englisch
  • ISBN-10: 0387938362
  • ISBN-13: 978-0387938363
  • Größe und/oder Gewicht: 15,5 x 1,4 x 23,5 cm
  • Durchschnittliche Kundenbewertung: 4.0 von 5 Sternen  Alle Rezensionen anzeigen (3 Kundenrezensionen)
  • Amazon Bestseller-Rang: Nr. 208.416 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
  • Komplettes Inhaltsverzeichnis ansehen

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From the reviews:

“A Beginner’s Guide to R is just what its title implies, a quick-start guide for the newest R users. A unique feature of this welcome addition to Springer’s Use R! series is that it is devoted solely to getting the user up and running on R. Unlike other texts geared towards R beginners, …this text does not make the mistake of trying to simultaneously teach statistics. …there are straightforward homework exercises provided throughout…, and the data sets can be downloaded from the authors’ website… …A Beginner’s Guide to R is an essential resource for the R novice, whether an undergraduate learning statistics for the first time or a seasoned statistician biting the bullet and making the switch to R. “ (The R Journal Vol. 2/1, June 2010)

“…most suitable for an advanced beginner or a user who needs an introduction to a wide variety of graphical methods. Overall, the book does most things quite well. It shows the beginner how to install R. how to load data into R, how to perform some subsetting operations including the sorting of data and most of all how to plot data using a variety of methods. Throughout, all methods and code are will illustrated and can be easily replicated by anyone using the book. …I learned quite a number of things about R that I did not previously know. Consequently, I would recommend the book not only for the students who need to learn R, but for professionals who need to enhance their basic working knowledge of R." (Math Geosci 2010, 42: 133–137)

“The book has many admirable features. It introduces key commands in easy stages. Each chapter has a number of illustrative examples, lucidly explained, and ends with a review of what has been covered. Chapters also contain exercises at the end that reinforce the examples provided. … useful work for self-study or for an introductory course, allowing readers to apply their knowledge of the language to begin learning how to use R for statistical analysis or other purposes. Summing Up: Highly recommended. All levels of readership.” (R. Bharath, Choice, Vol. 47 (11), July, 2010)

“This book explains how to create datasets, variables, functions and plots using R. It is not a simple book though. … somewhat dense and covers each topic thoroughly. … best to follow every example. … I found this book to be well written for its intended audience and purpose. I had no difficulty reading it or following the examples. … This approach will give you a good foundation for using R in your own work and advancing to other books about specific analyses and procedures.” (Mark Bailey, Technometrics, Vol. 53 (1), February, 2011)

“This book has a very clear objective. … this is a popular book about the R statistical software. … The book is true to its goal of being a text for the absolute beginner with easy to follow explanations, examples to program, and exercises to build skill. The reader who takes advantages of the available data files and R text editors will find this to be a very instructive book. It will definitely increase your desire to learn and use R in the future.” (Brandon Alleman, The American Statistician, May, 2011)


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)

Alain F. Zuur is senior statistician and director of Highland Statistics Ltd., a statistical consultancy company based in the UK. He has taught statistics to more than 5000 ecologists. He is honorary research fellow in the School of Biological Sciences, Oceanlab, at the University of Aberdeen, UK.
Elena N. Ieno is senior marine biologist and co-director at Highland Statistics Ltd. She has been involved in guiding PhD students on the design and analysis of ecological data. She is honorary research fellow in the School of Biological Sciences, Oceanlab, at the University of Aberdeen, UK.

Erik H.W.G. Meesters is a researcher at the Dutch Institute for Marine Resources and Ecosystem Studies (IMARES). He specializes in coral reef ecology and applied statistics and conducts research on North Sea benthos and seal ecology.

In diesem Buch

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2 von 2 Kunden fanden die folgende Rezension hilfreich Von multifaktorieller Universaldilettant am 11. Oktober 2012
Format: Taschenbuch Verifizierter Kauf
Ich habe das Buch nun schon ein Jahr und bin ein erfahrener R-Nutzer geworden. Ich habe am Anfang mal etwas darin gelesen und drei, vier Sachen nachgeschlagen. Aber in der Regel bot mir schon das Internet bessere Einführungen. Inzwischen verstaubt das Buch nur noch. Meiner Erfahrung nach benutze ich gute Einführungsbücher auch Jahre später noch immer mal als Nachschlagewerk, um Besonderheiten der Sprache nachzuschlagen (z. B. bei Python welche Daten immutable und welche mutable sind).

Außerdem merkt man, dass es von Bioinformatikern für Bioinformatiker geschrieben ist. Die Systematik hinter der Syntax wird aus dem Buch heraus nicht klar. Eine wirkliche Einführung und Darstellung in Datenstrukturen wird nicht gegeben. Daher ist es schwer von den Beispielen abzuweichen, bei denen von existierenden Dateien oder vorhandenen Beispielsstrukturen abgewichen werden soll. Dieses Wissen muss man sich definitiv aus anderen Quellen holen.

Das Buch eignet sich also wirklich nur für Leute, die sich mit Skriptsprachen schwer tun und im Buch ihr Fallbeispiel finden wollen, das abtippen und dann hoffen, dass es funktioniert. Für jeden, der Skriptsprachen beherrscht oder Programmieren kann, empfehle ich definitiv ein anderes Buch zu kaufen.
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Format: Kindle Edition
R was the first programming language I have learned and this book was the best introduction I could have asked for to really learn the language. I am a soon-to-be M.Sc of Molecular Biology which is why I really liked the way the content is explained in this book with all the lovely biological examples.
I totally recommend this book to all absolute beginners especially in biological fields who want to learn R without the frustration of having to search endlessly via Google and in forums.
Kommentar War diese Rezension für Sie hilfreich? Ja Nein Feedback senden...
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Von Tian Jundong am 22. Juli 2015
Format: Taschenbuch Verifizierter Kauf
Delivery was very fast (ordered on July 11, and receive it on July 20 morning), and book was well protected.
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Die hilfreichsten Kundenrezensionen auf (beta) 23 Rezensionen
48 von 50 Kunden fanden die folgende Rezension hilfreich
A a great start 27. Juli 2009
Von I Teach Typing - Veröffentlicht auf
Format: Taschenbuch Verifizierter Kauf
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 von 28 Kunden fanden die folgende Rezension hilfreich
A great introduction to a powerful program 23. August 2009
Von BlueDaisy - Veröffentlicht auf
Format: Taschenbuch
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.
16 von 17 Kunden fanden die folgende Rezension hilfreich
An essential book for new users to R 11. Dezember 2009
Von G M Smith - Veröffentlicht auf
Format: Taschenbuch
Firstly, I confess a possible lack of objectivity in this review as I have co-authored a couple of other books with the lead author of this book.

For anyone new to R, an occasional user of R, or indeed if you teach R, there seems to a recurring set of questions that need answered to get R to do what you want it to do. Many simple things seem to take a frustratingly large number of hours or even days to resolve. Not because they are difficult to do, just difficult to find out how to do.

Based on many years experience of using and teaching R, the authors have pulled together the answers to the types of questions that most beginners find themselves asking. There is no attempt at teaching statistics in this book, it is strictly a compilation of "how to do things in R". But with the added bonus of passing on many tips on the best ways of doing things, and a useful chapter of common errors that new, and sometimes not so new, users of R often make.

For the beginner, and occasional user who forgets how to do things in between R sessions, this book will be invaluable, and almost certainly save you hours of searching. Additionally, simply leafing through the book is likely to draw your attention to ways of using R, or ways of avoiding problems with R, that you are unlikely to come across when leafing through more comprehensive and wider ranging books on R.

If you are an R beginner and value your blood pressure and your time, this book is well worth the money.
11 von 11 Kunden fanden die folgende Rezension hilfreich
R-rrghhhh! 26. April 2013
Von Peter Butchko - Veröffentlicht auf
Format: Taschenbuch Verifizierter Kauf
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."
5 von 5 Kunden fanden die folgende Rezension hilfreich
I love this book 15. Juni 2011
Von Erethizon - Veröffentlicht auf
Format: Taschenbuch Verifizierter Kauf
I've been wanting to learn R for a while now, but teaching and meetings have gotten in the way. I've been using this book for about a month and spend an hour per day. I do the exercises and also type in all of the R code in the book to see what works (though you can download the code from the book's website). I have found the book very straightforward. Certainly R takes some getting used to and ultimately I'll be using it for statistical applications, but, as noted by the authors, this book is written to introduce the reader to R, not to statistics with R. The explanations for what you are doing (and why) are very clear. The authors have experience teaching a well-constructed workshop for learning R, and it shows in the flow of the book. The text is clearly written and the steps are easy to follow. Learning builds from chapter to chapter. I would suggest, however, that though the authors indicate you can skip chapter 4 on simple functions with the first read, enough of what comes later hints at chapter 4 that I found it made more sense to go back and read chapter 4 rather than wonder what was going on. I have not found the same need to read Chapter 6 on the first pass, though I expect it will help in later understanding how to run statistical tests with R.

I am an ecologist, and the authors use strictly ecological examples, which also makes the book very accessible. I've also been working on a data set of my own and it is VERY satisfying to take what I've learned in this book and apply it directly to my own data. At my university, we have limited access to major stats packages (Minitab - yes, Systat - no) and the draw to R, a free and very adaptable system, is strong.

Aside from R, another aspect of this book that I really like is that the authors use lots of instances of practical "exploratory data analysis" such as examination of data for outliers. These are steps that are easy to forget about and I like the fresh reminder. I'm also intrigued by the authors' hints at what they like and don't like about particular approaches that I've purchased their related book, Analyzing Ecological Data (hasn't arrived yet).

In sum - this is a great book for teaching yourself the basics of R.
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