Second edition

We provide additional online resources in several ways:

• This site
• Our Github
• Hosted by Cambridge and freely available

For instructors using the book, Cambridge offers additional resources.

What’s available

The worked examples from the book. For most of these boxes, we’ve provided expanded content, R code, and often, images. In the book, boxes with online content are indicated with 🅡 when we provide the R code, and 🅔 when we provide material beyond what’s in the book. Expanded content can include the exploratory data steps, including pre-analysis and EDA, and alternative ways to fit models, e.g. OLS and ML approaches.

Additional examples. In selecting examples to use in the book, we collected lots of papers. Some weren’t used because we had an example of the approach already, some may be a little messy, etc. We’ve provided a list of these papers, grouped by broad statistical approaches. In selecting examples for the book, our priority was for you to be able to access the published examples, so as far as possible we used open-access papers where the data files are also available.

Exercises. We’ve provided exercises for most chapters. They are the kind of things we’ve used as part of workshop sessions and they can also be used as preparation for exams if relevant. Our focus has been on helping readers feel confident with tackling data sets – identifying sampling/experimental designs and appropriate models, and thinking about how to fit models and determine their fit. As part of that process, we also consider assumptions underlying the fitting and interpretation of the models.
We haven’t produced the traditional “review” questions or exercises, but used a series of (mostly) published studies and asked the reader to work through the data. To work through a data set effectively, all of the “review” questions need to be answered!

For the exercises, we’ve included links to the papers and data sets, and where we think it helpful, the code to “wrangle” the data into something a bit easier to work with in R.

Solutions to exercises. We’ve provided brief notes and R code to go with the exercises. Don’t expect elegantly-worded explanations 😉

Instructors manual. We’ve been teaching with this material for many years. We’ve gathered a few of our thoughts and experiences into a brief manual. It covers things that work well and some pitfalls.

Code for figures. Most of the figures in the book are grey-scale, but some work better in a teaching situation in colour. We’ve provided the R code for many of the figures (some were created in Illustrator), with instructions for converting them to colour or changing other aspects. We used a small R file essentially as a figure style sheet, making it easy to change multiple figures.

Cambridge also makes high quality figures available to instructors, though they’re mostly grey-scale.

The table below summarises the resources that are available, and where it’s not obvious, how to access them.

1. Or contact us if you would like the code ↩︎