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R For Dummies [Kindle Edition]

Joris Meys , Andrie de Vries
4.3 von 5 Sternen  Alle Rezensionen anzeigen (3 Kundenrezensionen)

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Produktbeschreibungen

Kurzbeschreibung

Master the programming language of choice among statisticians and data analysts worldwide

Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you'll ever need. Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediate-level programmers will find extremely useful.

  • Master your R ABCs get up to speed in no time with the basics, from installing and configuring R to writing simple scripts and performing simultaneous calculations on many variables
  • Put data in its place get to know your way around lists, data frames, and other R data structures while learning to interact with other programs, such as Microsoft Excel
  • Make data dance to your tune learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and much more
  • Visualize it learn to use R's powerful data visualization features to create beautiful and informative graphical presentations of your data
  • Get statistical find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t-tests
  • Expand and customize R get the lowdown on how to find, install, and make the most of add-on packages created by the global R community for a wide variety of purposes
  • Open the book and find:
  • Help downloading, installing, and configuring R
  • Tips for getting data in and out of R
  • Ways to use data frames and lists to organize data
  • How to manipulate and process data
  • Advice on fitting regression models and ANOVA
  • Helpful hints for working with graphics
  • How to code in R
  • What R mailing lists and forums can do for you

Buchrückseite

Master the programming language of choice among statisticians and data analysts worldwide
 
Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you'll ever need. Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediate-level programmers will find extremely useful.
* Master your R ABCs -- get up to speed in no time with the basics, from installing and configuring R to writing simple scripts and performing simultaneous calculations on many variables
* Put data in its place -- get to know your way around lists, data frames, and other R data structures while learning to interact with other programs, such as Microsoft Excel
* Make data dance to your tune -- learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and much more
* Visualize it -- learn to use R's powerful data visualization features to create beautiful and informative graphical presentations of your data
* Get statistical -- find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t-tests
* Expand and customize R -- get the lowdown on how to find, install, and make the most of add-on packages created by the global R community for a wide variety of purposes
 
Open the book and find:
* Help downloading, installing, and configuring R
* Tips for getting data in and out of R
* Ways to use data frames and lists to organize data
* How to manipulate and process data
* Advice on fitting regression models and ANOVA
* Helpful hints for working with graphics
* How to code in R
* What R mailing lists and forums can do for you
 
Learn to:
* Use R for data analysis and processing
* Write functions and scripts for repeatable analysis
* Create high-quality charts and graphics
* Perform statistical analysis and build models

Produktinformation

  • Format: Kindle Edition
  • Dateigröße: 2110 KB
  • Seitenzahl der Print-Ausgabe: 406 Seiten
  • Verlag: For Dummies; Auflage: 2 (6. Juni 2012)
  • Verkauf durch: Amazon Media EU S.à r.l.
  • Sprache: Englisch
  • ASIN: B008A31UO4
  • Text-to-Speech (Vorlesemodus): Aktiviert
  • X-Ray:
  • Word Wise: Nicht aktiviert
  • Durchschnittliche Kundenbewertung: 4.3 von 5 Sternen  Alle Rezensionen anzeigen (3 Kundenrezensionen)
  • Amazon Bestseller-Rang: #85.894 Bezahlt in Kindle-Shop (Siehe Top 100 Bezahlt in Kindle-Shop)

  •  Ist der Verkauf dieses Produkts für Sie nicht akzeptabel?

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5.0 von 5 Sternen Does what it says on the tin 19. April 2014
Von MartinT
Format:Taschenbuch|Verifizierter Kauf
This book is a good introduction to R, which is exactly what I was looking for.

Note that this book won't teach you how to do statistics, and rather beats some subjects like flow control to death, but if you have never used R before and need a way in, this book will show you the way.
War diese Rezension für Sie hilfreich?
2 von 3 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Eine wirkliche Einführung in R 25. November 2012
Format:Kindle Edition|Verifizierter Kauf
Wie schon gewohnt gibt sich die Reihe "für Dummies" größte Mühe verständlich selbst in komplizierte Materie einzuführen. So habe ich erstmals versucht eine englische usgabe zum Inhalt meiner Einarbeitung in R zu verwenden. Praktisch alle mir bekannten Einführungen in R als Programmiersprache die in statistischer Aufgabenstellung zu hause ist, begeistern sich gerade an der Nutzung dieser statistischen Möglichkeiten. In diesem Buch wird dagegen der Tatsache Rechung getragen, das die meiste Zeit bei der Vorbereitung der Daten und der Nachbereitung als verständliche und druckbare Grafiken verbracht wird. Diese Art der Darstellung und die auch für Leser mit nur grundlegenden Englisch-Kenntnisen machen dieses Buch besonders empfehlenswert. Natürlich wäre für einen deutschen Muttersprachler eine deutsche Ausgabe wünschenswert. Ich habe übrigens die Kindle-Ausgabe erworben und verwende sie als Lehr- und Handbuch auf mehreren Android Tabletts und Smartphonen (was gerade zur Hand ist) um an Uni-Rechnern zu üben.
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0 von 1 Kunden fanden die folgende Rezension hilfreich
3.0 von 5 Sternen Für mich nicht unbedingt das richtige... 12. Mai 2014
Format:Taschenbuch|Verifizierter Kauf
Ich studiere Biologie und wollte die Statistik für meine Masterarbeit gerne mit R machen (ohne größere Vorkenntnisse). Das war leider ein bisschen überambitioiert... Ich hatte leider keine Zeit das ganze Buch mit allen Beispielen von vorn bis hinten durchzuarbeiten, weil viele Dinge für mich auch nicht ganz so wichtig/interessant waren. Ich hab dann die für mich wichtigen Kapitel gelesen/durchgearbeitet und bin irgendwann einfach nicht weitergekommen und habe es auch nicht geschafft meine Datensätze in R so einzulesen, dass ich sie hätte verwenden können. Ich hab dann irgendwann aus Zeitmangel aufgegeben und die Statistik dann doch mit einem anderen (für mich intuitiverem) Programm gemacht. An sich ist das Buch gut geschrieben und übersichtlich gestaltet, aber für mich in diesem Augenblick leider nicht das Richtige.
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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)
Amazon.com: 4.0 von 5 Sternen  33 Rezensionen
41 von 42 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Worth the purchase 25. September 2012
Von Roman Lustrik - Veröffentlicht auf Amazon.com
Format:Taschenbuch
Given the series' reputation, R for Dummies should be suited for readers with little or no experience in programming or R. After a cover to cover read, I can say that this book delivers. It helps to have some experience with a command line interface paradigm (in other words, you should not be afraid of typing commands into the computer) or at the least, to be susceptible to some new concepts. The book guides the reader through every step from a blinking console cursor to a handsome trellis graphic and assumes no prior experience with R.

Throughout the book, all the examples are executable, which means that the reader can have a rich hands-on (dare I say fun?) experience with managing the data. Topics covered give the reader enough to start and regularly invite him or her to further explore the topic in very rich documentation that already comes with R and add-on packages. The book works as a map for navigating around main streets but an inquisitive reader can (and should) always make turns into smaller alleys to explore issues further.

The book is ready to be read from cover to cover or be a light reference for when you're starting out coding your analysis. The authors did a great job introducing topics that literally may take thousands of pages to explain in detail (e.g. advanced graphics, introductory statistics). From my experience with teaching R to scientists and students, it is that information overload which can be a problem. This book eases the reader into basic structures and slowly builds on them, giving time for that knowledge to settle.

Introduction to various popular packages is very useful and gives the reader a good starting ground to tackle data crunching on their own. Authors endorse various software and techniques, but do not hide the alternatives. They do not cover any specific add-on packages (like biology, finance, market research, high performance computing) but touch the tools that will be useful to everyone.

The book has about 350 pages, which is moderate for an introductory material. Even though this work is not meant to be comprehensive, most, if not all, topics that a regular user of R comes across daily are covered. Given the affordable price, in my opinion this book is well worth the purchase. I would recommend it to beginners and if you're already comfortable with R maybe as a gift to a person who is too afraid to board the R express headed for Data city.
27 von 28 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen A Quick Start Guide to R 21. September 2012
Von Dr Richard A. Saldanha - Veröffentlicht auf Amazon.com
Format:Taschenbuch
After listening to Andrie de Vries' talk at LondonR [...] about how he and Joris Meys went about writing "R for Dummies", I thought I purchase a copy of the book for people at work who may have had little or no contact with R. I'm pleased to say that de Vries and Meys have produced a book that contains all the essential information to get a complete novice working usefully in R quickly. In particular, "R For Dummies" covers data input and output; matrices, arrays and data frame structures; dates; vectorized calculations; graphics; and add-on packages. These are all areas that new users of R can find difficult. I particularly liked the chapter on 10 things you can do in R that you would have done [dare-I-say-it less efficiently] in Excel.

Experienced R users (myself included) will find this book too lightweight. It generally stops at the point where many existing users will wish to begin. This is of course not a book aimed at such people. I do, however, thoroughly recommend "R For Dummies" to completely new or inexperienced users of R. It will provide a springboard to more advanced texts such as Venables and Ripley's two books, "Modern Applied Statistics with S" and "S Programming" (the latter book is not for the faint-hearted); Hadley Wickham's "ggplot2: Elegant Graphics for Data Analysis"; and the large number of other books describing detailed areas of the S language and/or R implementation. "R For Dummies" also provides useful directions to the various R online communities. Other introductory books on R exist but this is a compact text that will get new users of R started quickly. Buy it with confidence if you are such a user.
13 von 14 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Excellent Help 9. Oktober 2012
Von Skeeter - Veröffentlicht auf Amazon.com
Format:Taschenbuch|Verifizierter Kauf
I had not done any programming for at least 15 years. I had a project that needed programming. The R language was recommended to me. I had no experience with R so I bought this book. I found it an excellent way to learn the basics and the nuances of R. I recommend it highly.
16 von 19 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen This review is from Patrick Burns 9. November 2012
Von Ellie Scott - Veröffentlicht auf Amazon.com
Format:Taschenbuch
Executive summary

Pretty much all I'd hoped for -- and I had high hopes.

Significance

The "Dummies" series is popular for introducing specific topics in an inviting way. R For Dummies is a worthy addition to the pack.

There is a competitor by the name of Statistical Analysis with Excel For Dummies. Now this may also be well-executed -- it probably is -- but some of us are of the opinion that the last two words of the title are redundant.

There are millions of people doing data analysis in spreadsheets, even though spreadsheets are dangerous. R For Dummies gives these people a reasonable entrance into the world of R where their analyses will be safer, faster and deeper -- after an admittedly uncomfortable period of adjustment.

The world will be more productive on account of people switching from spreadsheets to R for data analysis. The problem is that hardly any spreadsheet users are aware that there is a more comfortable way of living than walking along a cliff edge. The cliff is invisible to them. Hopefully R For Dummies will help change that by making R a more obvious alternative.

Strengths

Chapter 19 is "Ten Things You Can Do in R That You Would've Done in Microsoft Excel". They resisted the subtitle "And by the way, generally much easier too".

Writing introductions to computer programs is astoundingly hard. A key problem is the curse of knowledge. Once we know something, we find it hard to imagine not knowing. So a writer who knows the program is not good, but a writer who doesn't know the program is no use as a navigator. R For Dummies sails these stormy seas well, partly from the discipline of the "Dummies" template, partly from the skill of the authors. They are competent in R yet both relatively new converts.

The really important decisions when writing introductory documentation is what not to say. I think Andrie and Joris made very good selections for silence.

... you discover the power hidden behind the 18th letter of the alphabet.

Weaknesses

There are (at least) two major styles of learning. There are those (like me) who are perfectly happy to gather up detail after detail, and only eventually put the details into a big picture. There are others who need to see the big picture before they can pick up any details (and possibly revise the picture).

R For Dummies is probably closer to what the big-picture people need than any other R documentation I know, but I doubt it really fulfills the need. However, that is probably too much to ask. I think a separate (short) document is called for.

If you're a big-picture learner, I'd be interested to hear what you think should go into such a document.

Cool things I didn't know

clipboard

For Windows there is the writeClipboard function. Give it a character vector as an argument and those are put onto the clipboard:
> writeClipboard(head(letters))
# hit <return> then <control>v
> a
Error: object 'a' not found
> b
Error: object 'b' not found
> c
function (..., recursive = FALSE) .Primitive("c")
> d
Error: object 'd' not found
> e
Error: object 'e' not found
> f
Error: object 'f' not found
Of course the function is better used by pasting into other programs rather than pasting back into R.

multiple sorting

If you are using order to sort based on multiple items and you want some in increasing order and some decreasing, then there is the xtfrm function to help you.

This review is posted with permission of Patrick Burns.
10 von 11 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen R for Dummies 6. September 2012
Von g.m.melis - Veröffentlicht auf Amazon.com
Format:Kindle Edition|Verifizierter Kauf
For someone like me who hadn't any experience with programming, but a deep desire to a) understand how it works conceptually and b) learn to do some basic programs to analyze data, this book has been a real delight. It takes you through each step without making any assumptions about your knowledge, but at the end of each chapter I had always learned a hell lot. Almost all notions that I learned I could apply directly afterwards on simple problems. Also, each chapter builds on the previous one, so reading them in order was a great way to gain understanding of R. Of course, you can also check up more specific issues you might be interested in (matrix multiplication, say). Finally, even though this book is about R, it has enabled me to understand more general concepts in programming which work similarly in other languages, e.g. Python.
Great book for self-study!
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