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R Graphics Cookbook [Kindle Edition]

Winston Chang
5.0 von 5 Sternen  Alle Rezensionen anzeigen (1 Kundenrezension)

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This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works.

Most of the recipes use the ggplot2 package, a powerful and flexible way to make graphs in R. If you have a basic understanding of the R language, you’re ready to get started.

  • Use R’s default graphics for quick exploration of data
  • Create a variety of bar graphs, line graphs, and scatter plots
  • Summarize data distributions with histograms, density curves, box plots, and other examples
  • Provide annotations to help viewers interpret data
  • Control the overall appearance of graphics
  • Render data groups alongside each other for easy comparison
  • Use colors in plots
  • Create network graphs, heat maps, and 3D scatter plots
  • Structure data for graphing

Über den Autor und weitere Mitwirkende

Winston Chang is presently a graduate student studying cognitive psychology at Northwestern University. During his time as a graduate student, he created a website called "R Cookbook", which contains snippets of code to handle common tasks in R. In previous lives, he's been a philosophy graduate student and a computer programmer.


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5 von 5 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Must have for every R begginer 16. Januar 2013
Von mko
And now, the moment we all have been waiting for. R graphics cookbook is already on shelves – and I have missed it’s release! This is why I am putting my hands on it right now. The book is a very well composed and easy to browse plotting compendium for R users. Some sort of must have. In my opinion it goes well together with R Cookbook by Paul Teetor or with R in a Nutshell by Joseph Adler.

Just to the meritum. What I have found really helpful is that examples are based on data delivered via the package installed within R. So, you don’t have to download, install or browse anything outside R. All you have to do is type in:


and you are ready to go.

I know that Winston has his own page (Cookbook for R) where lots of plotting examples are available for browsing. However, here, in the book you get the same content with new layout, additional remarks and new content, everything packed in a form of typical cookbook. It is not that you pay for the copy-paste from the web page. You are getting better organised and better explained content. Another thing is that book contains topics you won’t be able to find at the web page (e.g. multiline legends, colouring negative and positive bars differently, extended scatter plots related content, and much much more). So, as I said, this is not a copy-paste like book. Of course, you can still live with the Cookbook for R materials online and you will probably be happy. But not as much as with this book in your hands.
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Die hilfreichsten Kundenrezensionen auf (beta) 4.5 von 5 Sternen  43 Rezensionen
26 von 27 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Treasure trove of graphing ideas and recipes 10. Januar 2013
Von Ravi Aranke - Veröffentlicht auf
Even if you know R, learning to do graphs well in R is like learning (yet another) new language - that of ggplot2.

You could learn a new language by first studying its grammar and building some vocabulary. In that case, you might want to start with ggplot2 creator's book ggplot2: Elegant Graphics for Data Analysis (Use R!). That's an excellent book and that's where I started.

Still, there are many loose ends in my understanding of ggplot2 and sometimes I struggle to find the exact technique to achieve the effect I want. e.g. do I set fill or colour? What does grouping exactly do? How do I rearrange factors? How do I remove the legends and clean up the grid lines?

I am sure answers to all such questions could be found by googling and reading Hadley's original text carefully. However, the beauty of Winston Chang's book is that it has compiled tons of such examples in recipe format and is a huge time saver. Now this is my first stop reference, even before hitting google or stackoverflow.

Another advantage of the book is that all recipes are self contained and you could quickly pick up a technique or two in any 5 minute of break time. After immersing myself in enough examples during last week, I feel I am getting better hang of grammar of graphics (philosophy behind ggplot2).

By the way, if you have not read Hadley's book or tutorial, please read Appendix A before you dive in.
7 von 7 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Great book 24. Februar 2013
Von Felipe Carrillo - Veröffentlicht auf
Format:Taschenbuch|Verifizierter Kauf
Even though I am really familiar with ggplot2, plyr and reshape, Winston Chang have some great tricks manipulating data and creating awesome graphics that I had never seen before. The recipe format of this book is great for beginners and advanced users because one can get straight answers without having to read too much.
8 von 9 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen Actually, ggplot2 graphics cookbook 7. Februar 2013
Von Dimitri Shvorob - Veröffentlicht auf
... "ggplot2" being a particular, fairly mature and popular R graphics package developed by Hadley Wickham, and described in his 2009 book "ggplot2: Elegant graphics for data analysis". Three years later, Winston Chang's accessible and inexpensive how-to book can push "ggplot2" into the mainstream. It is actually a different book, "R for Everyone" by Jared Lander, that brought me over the fence separating "old school" R graphics and "ggplot2" - it's a pity that, talking about a "syntax" of graphics, neither "ggplot2"-focused book manages to be textbook-systematic about it, and the reader has to pick up the general points as they go through examples - but once I am here, "R Graphics Cookbook" is a necessity.
3 von 3 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Good to have physical copy on hand 12. Dezember 2013
Von W. Hogan - Veröffentlicht auf
Format:Kindle Edition|Verifizierter Kauf
This book is nice to have on hand for finding example code quickly.
There are a variety of examples.
The code is more up to date than Hadley Wickham's book.
2 von 2 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Very useful addition to my R library 5. September 2013
Von steve_oakland - Veröffentlicht auf
Format:Taschenbuch|Verifizierter Kauf
I have Hadley Wickham's book on ggplot2 ggplot2: Elegant Graphics for Data Analysis (Use R!), which is a great introduction to advanced R graphics. However, since that book was published in 2009, a few updates in R and ggplot2 have made some of the tricks I used for plots obsolete and I've had to refer to the online ggplot2 documentation to update my code. The R Graphics Cookbook makes this task of finding best practices for ggplot2 much easier, and provides some really concrete examples. This R Graphics Cookbook and the ggplot2 book make for a powerful combination.
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