|Really Good R Books|
|Written by Kay Ewbank|
|Monday, 13 June 2022|
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Author: Robert Kabacoff
Janet Swift described this book as highly practical and well explained, and gave it 4.5 stars, noting that the account is angled towards the practitioner wanting to get to grips with actually doing some statistics as quickly as possible. The title has been updated and now covers R and Tidyverse
Janet says readers shouldn't buy this book if you really don't have a clue about statistics - it isn't a statistics primer. It also isn't a good book to buy if you are looking for something to solve your programming problems. However, if you want to discover how to do statistics using R then this is a really good place to start. Recommended.
Author: Norman Matloff
This is a good book if you want to learn the important facts of life about programming in R, according to Mike James, who gave it 4.5 stars. He says it isn't a book that will teach you statistics, however, and if you want a stats primer find another book.
This one explains the features that make R different and takes you through all you need to know to perform standard analysis and implement custom procedures. There are plenty of examples, but another important caveat is that this isn't a cookbook. You have to read, understand and then implement your own solutions to the problems that arise in everyday data analysis. If you aren't already an R expert, read this book and you will be well on your way to becoming one. Recommended.
Author: Tilman M. Davies
He describes it as a huge book that tells you everything about R, in which the author assumes that you want to read a very complete and logical introduction to R even if you aren't sure why you need to know it just yet. The result is more like a manual than a tutorial.
Mike says that if you already know how to program then this is not going to be a good choice. It is suitable for the programming beginner but only if you want a very plain presentation of the facts. If you don't know statistics then the final three sections present an account of traditional statistics as you might find in any course aimed at practitioners rather than experts.
Overall, not a book for everyone interested in R, but it would make a good resource to have on a shelf.
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|Last Updated ( Monday, 13 June 2022 )|