Book review: Statistical Analysis with R

The programming language R is a standard for statisticians. And it is free software which runs on Windows, Mac and Linux.

You can learn much online about R, but if you prefer a bona fide book, there are also many to choose from. I just finished one of those: Statistical Analysis with R by John M. Quick.

The book is colorful and ludic which is a good idea for a “Beginner’s Guide”. The layout is attractive, there are many detailed examples. I like the pedagogy: the author wants you to learn by doing. However, the book is poor as a reference: the coverage is limited despite the 300 pages and the chapter summaries are strictly non-technical.

Overall this is a good book for people with no programming background who just want to use R to load data, do ANOVA tests and simple models. They will find step-by-step instructions down to the installation of the software, complete with screenshots of every step. This could be a good book for scientists or business people who want to try R as a substitute for Excel.

Disclosure: I got a free copy of the e-book from the publisher with the expectation that I would publish a review.

Published by

Daniel Lemire

A computer science professor at the University of Quebec (TELUQ).

One thought on “Book review: Statistical Analysis with R”

  1. While not yet release the Manning book R in action (available in the MEAP program) is not only a good beginner guide, but is very well organized and provides education on statistical methods for those not versed in the subject. A very good book for programmers with decent Math education, but not enough statistics courses under their belts…

    I would say that it is not a great “reference” but it points you at the right set of starting packages in a task oriented way.

Leave a Reply to Arnon Moscona Cancel reply

Your email address will not be published. The comment form expects plain text. If you need to format your text, you can use HTML elements such strong, blockquote, cite, code and em. For formatting code as HTML automatically, I recommend

You may subscribe to this blog by email.