The R programming language and environment is one of the most popular open source projects in the scientific field. It helps scientists from many fields to crunch data into meaningful statistics and graphs: bioinformatics, finances, physics, sociology and many others.
There are many books on R, more than for other scientific free software. The following list contains books for learning R ordered by popularity (purchases and reviews) according to the Amazon on-line bookstore :
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 output, general statistics, graphics, and linear regression.
R in a Nutshell provides a quick and practical way to learn this increasingly popular open source language and environment. You’ll not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization, and bioinformatics.
The R Book is packed with worked examples, providing an all inclusive guide to R, ideal for novice and more accomplished users alike. The book assumes no background in statistics or computing and introduces the advantages of the R environment, detailing its applications in a wide range of disciplines.
This book will be useful to everyone who has struggled with displaying their data in an informative and attractive way. You will need some basic knowledge of R (i.e. you should be able to get your data into R), but ggplot2 is a mini-language specifically tailored for producing graphics, and you’ll learn everything you need in the book. After reading this book you’ll be able to produce graphics customized precisely for your problem.
TIP: The search in Amazon was not straight forward. To find this list I had to filter a little. Here is the link for the search I used: R and ggplot2
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