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Highland Statistics Ltd

Latest news

Starting in June, July and August 2020: Online courses with on-demand video and live Zoom meetings:

  • Data Exploration, Regression, GLM & GAM with an introduction to R.
  • Linear Mixed-Effects Models and GLMM with R-INLA.
  • Introduction to Regression Models with Spatial Correlation using R-INLA.
  • Introduction to Zero Inflated Models using R-INLA.
  • Zero-inflated GAMs and GAMMs for the analysis of spatial and spatial-temporal correlated data using R-INLA. 

See highstat.com for details.

Mixed Effects Models and Extensions in Ecology with R (2009). Zuur, Ieno, Walker, Saveliev, Smith

Building on the successful Analyzing Ecological Data (2007) by Zuur, Ieno and Smith, the authors now provide an expanded introduction to using regression and its extensions in analyzing ecological data. As with the earlier book, real data sets from postgraduate ecological studies or research projects are used throughout.

The first part of the book is a largely non-mathematical introduction to linear mixed effects modeling, GLM and GAM, zero-inflated models, GEE, GLMM and GAMM. The second part provides ten case studies that range from koalas to deep sea research. These chapters provide an invaluable insight into analyzing complex ecological datasets, including comparisons of different approaches to the same problem. By matching ecological questions and data structure to a case study, these chapters provide an excellent starting point to analyzing your own data.

Data and R code from all chapters are available

Visit the website of this book to download data, R code, the table of content, and information how to purchase this book.