Introduction
In this book, I’ve brought together all the information you need to hit the ground running with R. It’s heavy on statistics, of course, because R’s creators built this language to analyze data.
So it’s necessary that you learn the foundations of statistics. Let me tell you at the outset: This All-in-One is not a cookbook. I’ve never taught statistics that way and I never will. Before I show you how to use R to work with a statistical concept, I give you a strong grounding in what that concept is all about.
In fact, Books 2 and 3 of this 5-book compendium are something like an introductory statistics text that happens to use R as a way of explaining statistical ideas.
Book 4 follows that path by teaching the ideas behind machine learning before you learn how to use R to implement them. Book 5 gives you a set of projects that give you a chance to exercise your newly minted R skill set.
Want some more details? Read on.
About This All-in-One
The volume you’re holding (or the e-book you’re viewing) consists of five books that cover a lot of the length and breadth of R.
Book 1: Introducing R
As I said earlier in this introduction, R is a language that deals with statistics. Accordingly, Book 1 introduces you to the fundamental concepts of statistics that you just have to know in order to progress with R.
You then learn about R and RStudio, a widely used development environment for working with R. I begin by describing the rudiments of R code, and I discuss R functions ...
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