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R in a Nutshell (Anglais) Broché – 12 janvier 2010

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Book by Adler Joseph

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78 internautes sur 81 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Gateway into the world of R 15 avril 2010
Par Tony DaBoney - Publié sur
Format: Broché Achat vérifié
'R in a Nutshell' is the essential introductory book on R. Do not try to learn R without it.

I made two attempts to learn R before purchasing this book. In both previous attempts, I had to abort and use another tool to solve my problem because it was taking me too long to accomplish very simple things in R.

The reason R is hard to learn is that its documentation is organized for statisticians that already know R, but have forgotten a detail or two. There are a few other books on learning R, but they are setup like a college course - complete the entire book and THEN you can actually accomplish something.

R in a Nutshell allows you to get working immediately. Simply lookup what you need to do. The firsts thing I did was load a file and make a histogram. I found that stuff in the section on "Loading Data" and the section on charts. In no time I was making stacked area charts for cohorts. Now R is an essential tool for me - and I haven't even taken the time to learn it well! With this book, I don't have to. I can learn as I go. So I actually use R.

Do not R without it.
3 internautes sur 3 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Programmers vs Novices 29 juin 2011
Par I Teach Typing - Publié sur
Format: Broché Achat vérifié
If you have programming experience and you want to understand how R works at a fairly deep level this is a wonderful book. If you are a novice that is just trying to learn how to visualize and analyze data there are better choices like A Beginner's Guide to R (Use R) or search my Amazon profile to see the learning R listmania list called "Learning to use R for statistics and graphics" or Amazon's "So you'd like to..." guide called "Learn R for statistical programming and graphics" (sorry they will not let me post the hyperlink here).

I teach programming, so I found the references to how R differs from languages like LISP, C and JAVA very useful. However, those distinctions will be at best distracting or more likely horribly confusing to programming novices. With that distinction in mind, this book is exceptionally well written and has great clear explanations on things that are missing from practically every other R book (like the distinction between if else and ifelse. Other sections, like the coverage of graphics can be found elsewhere but require you to distill a LOT of other books.

If you want to really understand R start here and then go for John Chambers books (especially Software for Data Analysis: Programming with R (Statistics and Computing) ). If you want to learn how to use R for data analysis get Zuul's book then follow my learning R guide.
1 internautes sur 1 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 Clear, and well written 12 juin 2011
Par Glenn Richards - Publié sur
Format: Broché Achat vérifié
This book is an introductory guide to the R statistical language. R is of course an increasingly popular open-source program that can handle everything from regression to time series analysis and neural networks. The book is written more as a tutorial than a reference manual, and this makes it surprisingly readable. The book is organized in a very intuitive way, starting with basic functions, then describing the general approach to writing algorithms, and finally going through a series of mathematical functions. It is outstanding for readers who have some familiarity with other statistical programs -- SAS, Matlab, RATS, etc., and who need to familiarize themselves with R code. The treatment of advanced mathematical techniques is rather cursory, so readers who want to use R for more sophisticated types of programming may need to consult other sources. Still, as an introduction, this is very clear and well written.
1 internautes sur 1 ont trouvé ce commentaire utile 
1.0 étoiles sur 5 Save Your Money 21 janvier 2013
Par Darth Mallow - Publié sur
Format: Broché Achat vérifié
There is nothing positive I can say about this book. It provides very little extra information on pretty much any subject and is so poorly organized that it's nearly impossible to find what you're looking for. As a beginner of the R language I found this book less helpful than the R documentation and I'm guessing that a seasoned R developer would find no value here at all.
1 internautes sur 1 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 Detailed coverage of many R features 14 septembre 2011
Par Nathan Goodman - Publié sur
Format: Broché Achat vérifié
This is a good book that explains in some detail many important R features. "In a nutshell" isn't quite accurate, because it goes into considerable depth. I bought "R Cookbook" at the same time. This book is more advanced than Cookbook. So far I've used it a lot less, but I imagine that will change as I climb the R learning curve.
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