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We have published three books with Springer. Our first book, Analyzing Ecological Data was published in 2007 and discusses data exploration, regression, GLM, GAM, mixed effects modelling, regression & classification trees, multivariate analysis, time series and spatial analysis. The book contains a large number of case studies which can be used as blue prints for your own data analysis.

Almost immediately when this book was finished we wrote Mixed Effects Models and Extensions in Ecology with R, which came out in 2009. As the title suggests, it is about mixed effects models. It also contains extensive chapters on GLMs, GAMs, zero inflated models, GLMMs and GAMMs. Again, there are a large number of case studies.

Because our books are primarily driven by the courses we give, we also wrote a 200 page Beginner's Guide to R, which came out in 2009. It is a bestseller! In 2011 it was translated in Japanese and Chinese. 

The mixed modelling book has a chapter on the analysis of zero inflated data and based on the feedback we decided to write a book on this subject: Zero Inflated Models and GLMM with R. We discuss zero inflated data, overdispersion and GLMM, nested zero inflated data, and spatially and temporally correlated zero inflated data.

In 2011 we started writing a 'Beginner's guide to ...' book series. The first book in this series, A Beginner's Guide to Generalized Additive Models with R was published in the Autumn of 2012. The second book, A Beginner's Guide to GLM and GLMM with R was published in June 2012. This book is co-authored with Professor Joseph M. Hilbe. The third book, A Beginner's Guide to Generalized Additive Mixed Models with R came out in January 2014. In 2010 we published a paper in the journal Methods in Ecology and Evolution entitled ‘A protocol for data exploration to avoid common sta-tistical problems’. Little did we know at the time that this paper would become one of the journal’s all-time top papers, both top downloaded and top cited papers, with more than 20K downloads during the first 6 months. Based on this success we decided to extend the material in the paper into a book, which is A Beginner's Guide to Data Exploration and Visualisation with R. This book was published in January 2015.

Each book has its own website with content description, R code and data sets. You can access these websites by clicking on the relevant title in the BOOK AND PAPERS menu above.

Beginner's Guide to GAM , Beginner's Guide to GLM and GLMM with R, Beginner's Guide to GAMM and Beginner's Guide to Data Exploration and Visualisation with R are also available as electronic book with instant access.

                          

Book chapters