Deep R Programming Exercise Book
Preface
Hi, I’m David. At the time of writing, a junior data analyst who started using R for data pipelines and analysis in the middle of last year. This is my attempt at, and way of holding myself accountable for, working my way through the book:
Deep R Programming
It’s an open-access introductory textbook, which goes into quite some depth about the data structures and working of R. I’ve actually already read a lot of it in paper copy and rather enjoyed it, but now want to go back and work through the exercises, slowly but surely.
Aims, scope, and design philosophy
Having been introduced to R through the tidyverse, I am among the cohort described by Marek as:
isolated from base R through a thick layer of popular third-party packages that introduce an overwhelming number of functions
I’m feeling keen to get to grips with the capabilities of R itself, and understanding a bit more about what’s going on under-the-hood.
Exercise Book Structure
I will organise this book by chapters and by exercises. Note that the exercises are numbered in order relative to their respective chapter e.g. chapter.exercise_number, not the subsection of the book. For example the first exercise 1.1 is found in the book subsection 1.2.3. As the HTML version doesn’t provide a link to the exercise blocks themselves, I will link to the subsection where they can be found.
The exercises also share numbering with examples, so there may or may not always be a task. My heading numbering will match the exercise/example numbering and in most cases I will provide a link to the section of the book the exercise is featured in.
Exercises will be quoted in block quotes and italics like this
License
Deep R Programming is published under the license is published under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).