Goodreads helps you keep track of books you want to read.
Start by marking “R Cookbook” as Want to Read:
R Cookbook
Enlarge cover
Rate this book
Clear rating
Open Preview

R Cookbook

3.99  ·  Rating Details  ·  237 Ratings  ·  11 Reviews
With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and outpu ...more
ebook, 438 pages
Published March 3rd 2011 by O'Reilly Media (first published January 1st 2011)
More Details... edit details

Friend Reviews

To see what your friends thought of this book, please sign up.

Reader Q&A

To ask other readers questions about R Cookbook, please sign up.

Be the first to ask a question about R Cookbook

This book is not yet featured on Listopia. Add this book to your favorite list »

Community Reviews

(showing 1-30 of 628)
filter  |  sort: default (?)  |  Rating Details
Louis
Apr 22, 2011 Louis rated it really liked it  ·  review of another edition
Shelves: computer, math-stats
A part of the cookbook series is expected to provide a multitude of examples of useful tasks. The R Cookbook does this, but also more. This provides more, teaching about R beyond what reference books and most tutorials.

One weakness of R compared to other data analysis environments and programming languages is it's lack of coherence that comes from a central design. Instead it seems like a set of constructs, each designed differently. As an example, the multiple packages for graphic. Every user o
...more
Richard
Oct 30, 2014 Richard rated it it was amazing  ·  review of another edition
This is an excellent book on R. If you don't know anything about R, this isn't the book to start with. However, it will be really useful after you have learned some really basic concepts about R (basically, one week after you start learning R!).

The book consists of user-oriented tasks. The reader looks up the task they are interested in performing from the contents pages at the front of the book. So the book is designed as a reference book.

The strength of this book are:
** the range and number
...more
Joshua Hruzik
Nov 28, 2014 Joshua Hruzik rated it really liked it  ·  review of another edition
If you love learning by doing this is your book!

R is the best statistical software package on the market (although it's free, so technically there is no market for it). Its functions outstrip those of SPSS and STATA by far. So naturally everyone doing statistical work should be familiar with R.

The R Cookbook is designed for clear cut problem solving. You want something being done by R? This book will have a description how to do it and a detailed section of what you are actually doing. This boo
...more
Glenn
Feb 09, 2014 Glenn rated it liked it  ·  review of another edition
The R programming language is well suited for exploring correlation in medium size data sets. If you already understand the null hypothesis and know which algorithms are appropriate to use for statistical variance testing, then this book will really boost your productivity with R.

If you don't have much understanding of statistics and what purpose it serves, then this is not the first book that you should turn to.
Paul Boal
Jan 27, 2013 Paul Boal rated it it was amazing  ·  review of another edition
As someone who isn't a practicing statistician I was blown away by how accessible and informative this cookbook was. I expected examples to be inaccessible, but the author educated me on both R and applied statistics at the same time.
Michael Bond
Jun 19, 2013 Michael Bond rated it it was amazing  ·  review of another edition
Seems to cover just the right topics for a book of its size. To get more info on graphics or prorgamming, you may need additional books, but this is the ideal cookbook.
Karl
Dec 07, 2012 Karl rated it really liked it  ·  review of another edition
Much better than "R in a Nutshell", even given what needs they're supposed to serve. Read this first if you're learning R (and already know some statistics).
Vladimir Chupakhin
Jun 27, 2012 Vladimir Chupakhin rated it it was amazing  ·  review of another edition
Shelves: data-mining
It is my Top-1 recommended book for people starting to study R. Concise and with very useful examples.
Wouter
Oct 20, 2011 Wouter rated it really liked it  ·  review of another edition
Shelves: statistics
Nice recipe reference for introductory statistics measures/tests.
Sweemeng Ng
Sep 03, 2012 Sweemeng Ng rated it really liked it  ·  review of another edition
Good reference for learning R surprisingly comprehensive
Karim Keshavjee
Dec 19, 2014 Karim Keshavjee rated it really liked it  ·  review of another edition
Excellent approach to learning R.
Jayanth
Jayanth marked it as to-read
Aug 24, 2016
Andrew Hill
Andrew Hill marked it as to-read
Aug 22, 2016
Mo
Mo marked it as to-read
Aug 18, 2016
Ray Kyo
Ray Kyo is currently reading it
Aug 12, 2016
Sandra Sousa
Sandra Sousa marked it as to-read
Aug 11, 2016
vivedha
vivedha marked it as to-read
Aug 08, 2016
Deepak Kumar patnaik
Deepak Kumar patnaik is currently reading it
Aug 07, 2016
Ian Thwaites
Ian Thwaites is currently reading it
Aug 04, 2016
Prakhar Agarwal
Prakhar Agarwal marked it as to-read
Aug 03, 2016
Shawn
Shawn marked it as to-read
Aug 03, 2016
R Baumgartner
R Baumgartner rated it really liked it
Aug 03, 2016
Rachele
Rachele marked it as to-read
Aug 02, 2016
Patrick Dant
Patrick Dant rated it liked it
Aug 02, 2016
Justin
Justin rated it it was amazing
Jul 31, 2016
Elizabeth
Elizabeth marked it as to-read
Jul 31, 2016
Greg
Greg rated it it was amazing
Jul 31, 2016
Greg
Greg rated it it was amazing
Jul 31, 2016
Jeff Idle
Jeff Idle rated it it was amazing
Jul 29, 2016
« previous 1 3 4 5 6 7 8 9 20 21 next »
There are no discussion topics on this book yet. Be the first to start one »
  • R Graphics Cookbook
  • R in a Nutshell: A Desktop Quick Reference
  • The Art of R Programming: A Tour of Statistical Software Design
  • Introductory Statistics with R (Statistics and Computing)
  • R in Action
  • Python for Data Analysis
  • Machine Learning for Hackers
  • ggplot2: Elegant Graphics for Data Analysis
  • Data Mining With R: Learning By Case Studies
  • Bayesian Data Analysis
  • Pattern Recognition and Machine Learning
  • Statistical Inference
  • Mathematical Statistics and Data Analysis
  • Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)
  • Think Stats
  • Doing Data Science
  • The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  • Interactive Data Visualization for the Web

Goodreads is hiring!

If you like books and love to build cool products, we may be looking for you.
Learn more »

Share This Book



No trivia or quizzes yet. Add some now »

“Don’t kid yourself: very few questions are unique.” 0 likes
More quotes…