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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.