A Practical Guide . . . – Code and Supplements

Resources made available here primarily relate to:

A Practical Guide to Data Analysis Using R – An Example-Based Approach,
by John H Maindonald, W John Braun, and Jeffrey L Andrews¹
published by Cambridge University Press in 2024.

Solutions to selected exercises

(These can also be accessed from the menu)

PDFs (drafts) for chapters 1, 2, and 3

These are made available with the permission of Cambridge University Press.

Items of Related interest

Updated version of early 2000s booklet on R

This is now to a large extent superseded by tutorials that are available on the web. Beginning R users may nonetheless find it useful as an introductory document for learning about R.

What does the data say? – Traps to Avoid

This collection of “examples that inform and educate”, taken from the media and from the published literature, is used to illustrate some of the ready traps to which data analysts can readily fall. The booklet is in the style of what Kahneman (2013), in his book Thinking Fast and Slow, calls “educating gossip”. Its examples may be used to supplement, or in a few cases offer a further perspective on, those in A Practical Guide to R. The source files are all available from

Source files

Footnotes

1. The text builds on “Data Analysis and Graphics Using R” (Maindonald and Braun, CUP, 3rd edn, 2010.)