The R Book 3rd Edition

This book written by Elinor Jones, Simon Harden, and Michael J. Crawley has a great deal of value as a reference book for an occasional R user in the sciences, or possibly an introductory text with additional resources (it can read like a textbook). The R book is 880 pages long and it covers just about everything you can do in base R, with some packages introduced. To my knowledge, there is no mention of the “Tidyverse”, which depending on perspective can be seen as a positive or negative aspect. In my opinion, this is a strength of the book, I personally feel that it allows for more flexible programming, if one learns to use base R well before learning the “Tidyverse”. Quite reasonably, the book is focused on data visualization and analysis, giving the reader incredibly thorough knowledge of how to code various models. I would recommend this to someone that uses R for somewhat infrequent statistical analysis, and wants one book that will have what they need to know. You can check out the book with this commissioned link: https://amzn.to/434x65n.

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R for Excel Users: Introduction to R for Excel Analysts

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Machine Learning with R: Expert techniques for predictive modeling