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Learning R- (Anglais) Broché – 20 septembre 2013

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4,2 étoiles sur 5 16 commentaires provenant des USA

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Description du produit

Book by Cotton Richard

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Commentaires client les plus utiles sur Amazon.com (beta) (Peut contenir des commentaires issus du programme Early Reviewer Rewards)

Amazon.com: 4.2 étoiles sur 5 16 commentaires
4 internautes sur 4 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 good book but not as applied as I'd like 7 octobre 2014
Par will clarke - Publié sur Amazon.com
Format: Broché Achat vérifié
good book but not as applied as I'd like; it would be nice to have specific programming problems and their solutions too.
7 internautes sur 9 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 but then your creativity as a data analyst will be limited and probably you will end up writing poor code. Alternatively focusin 27 novembre 2015
Par Luis-Durham - Publié sur Amazon.com
Format: Broché Achat vérifié
If you want to start learning R, there several things you may want to consider. There are two kind of skills you want to cultivate: programming skills and actual data analysis ones. In principle, you can learn techniques alone, but then your creativity as a data analyst will be limited and probably you will end up writing poor code. Alternatively focusing only on coding may make you a good programmer, but it will be hard to get started on putting your skill into practice.

Any book should strike a tradeoff in where to stand between training you in these two topics. Cotton's book try its best in this and does a pretty good job. The first part of the book, covering the intricacies of the language is the one I found most useful. I has all sort of good advise and explanations on the data structures and functions you can use. It is appropriately applied - not just about computation and programming, but actually links how they are applied in the actual data analysis. In this sense, this was the most original and interesting part of the book. The second part of the book, covering data analysis techniques was more conventional but still good. As such, there are perhaps better books if you are interested on any of the two sides ("machine learning for hackers" is very good to learn how to apply the techniques and seeing them in action; "Introduction to statistical learning" is a bit more theoretical; Advanced R or The Art of R Computing are unbeatable about teaching the language, although a bit dray).

The approach of Cotton is really instructive. He is friendly, he write well in a easygoing fashion and the book is full of useful tips that helped me to understand how the language merge with the technique.

The book is not encyclopedic, it does not cover every single topic (there are better books for that, Matloff and Wickhams books are better). Instead, it does a really good job as a tutorial that walks you through many topics that are somehow not covered in many other books -the chapter that covers factors and dates is perhaps not something you will deal with everyday, but very useful if you have to.

Overall, I think the book teaches you really well how to play with the R language.

A very final remark. I've seen other comments that suggest this is an introductory book. The book hardly takes things from scratch. If you have never written a line of code, you are likely to find it, particularly the first part, pretty dry. It is more an intermediate text, otherwise you will find yourself wondering why you need to know all these pages about data structures if you just want to learn to load a csv file and run a regression.
5.0 étoiles sur 5 Great introduction to R 24 décembre 2016
Par Kindle Customer - Publié sur Amazon.com
Format: Format Kindle Achat vérifié
This book is tremendous. It takes the reader through R without getting bogged down in an explanation of statistics and data modeling. It even includes chapters at the end on writing your own packages.
5.0 étoiles sur 5 Five Stars 5 mai 2017
Par Amazon Customer - Publié sur Amazon.com
Format: Broché Achat vérifié
the book is classical and useful
5.0 étoiles sur 5 Five Stars 12 octobre 2016
Par Ian Thomas - Publié sur Amazon.com
Format: Broché Achat vérifié
Great intro to R
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