Twelve Great Free R Programming E-books

Twelve Great Free R Programming E-books

To Big Data enthusiasts R is word or rather a letter that needs no introduction. R programming is a programming language that brings the complex world of statistics and datasets at your fingertips. It is mainly used for computing statistics and relevant graphics. The following twelve e-books are not only useful to bring you up to the task for R programming but best of all they are free.


Twelve Great Free R Programming E-books


  • Learning Statistics with R
    Author: Daniel Navarro

If you are looking for a guide that will take you through the intricacies of developing software with R be it the basic types and structures of data to more complex topics like recursion, closures as well as anonymous functions. Knowledge of statistics, although helpful, is not an essential pre-requisite .

  • The R Inferno
    Author: Patrick Burns

If you are the kind to likes to dwell on the oddities as well as the trouble spots of a particular subject matter then the free eBook “The R Inferno” was written keeping in mind your particular likes. Despite the considerable number of R potholes exposed here R retains its place as one of the best computational environments for most tasks related to data analysis.

  • Statistics with R
    Author: Vincent Zoonekynd

For R newbies this ebook provides an introduction to R at an elementary level. It is intended to be read by statistics students and scientists across diverse fields who are not necessarily statistician themselves.

  • The Art of R Programming: A Tour of Statistical Software Design
    Author: Norman Matloff

This book serves a similar purpose to the one mentioned at the very beginning of the list. Best of all no foreknowledge of statistics is required and you do not exactly need to be a programming ninja to get acquainted with R through the help of this book.

  • Advanced R Programming
    Author: Hadley Wickham

If you are an existing R user and want to brush up your understanding of the complex language of R as well as acquire some complex skills at programming in this particular programming language then look no further. It also comes in pretty handy for programmers migrating from other languages to the world of R.

  • Introduction to Probability and Statistics Using R
    Author: G. Jay Kerns

This ebook happens to be a part of course material for undergraduate students in statistics and probability. However knowledge of Calculus and linear algebra is essential to make the most of this ebook.

  • Using R for Data Analysis and Graphics
    Author: J H Maindonald

This is books acts as a guide to the powerful and practical tools that R provides to its users. The stress in this particular ebook is on graphical display, analysis performed on a hands-on level as well as how to interpret the data at hand.

  • An Introduction to R: A Programming Environment for Data Analysis

This is more of a tutorial manual rather than an ebook and serves as a introduction to R and a comprehensive introduction when it comes to that.

  • Introduction to Statistical Thinking, with R, without Calculus

Yet another introduction to the world of R and statistics this sans the necessity of an understanding of calculus, this ebook is meant for students who are required to go through statistics and have little knowledge of maths and little motivation. However this ebook makes it easy and may be even interesting to delve in the exciting world of R.

  • Applied Spatial Data Analysis with R
    Author(s): Roger S. Bivand, et al

If you are a researcher who had to handle spatial data and have to also analyze and visualize the dame then this ebook was written keeping your specific needs in mind.

  • A Handbook of Statistical Analyses Using R
    Author(s): Brian S. Everitt, et al

Ideal for R newbies as well as more advanced users of the R programming language seeking a more concrete and step-by-step guide for making the most of this powerful piece of software for analysis of datasets and statiustics.

  • Using R for Introductory Statistics
    Author: John Verzani

Building a strong foundation for advanced study in development and statistics making use of R. This is an ideal text for those who want to integrate statistics study with a computational tool that offers both power and flexibility.


To download links for the above mentioned E-books Click here


For more detailed information and theoretical knowledge base, resort to DexLab Analytics – we are a top notch R Programming training institute in Pune. Our comprehensive R programming certification courses in Pune are truly incredible!


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October 18, 2015 11:15 am Published by , , , , , , , , ,

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