This is a project under construction. Our aim is to provide a cookbook with mixed model analyses of typical examples in life sciences (focus on agriculture/biology) and compare the possibilities or rather limitations of the R-packages
to each other, but also to SAS’
Find chapters by navigating the menu at the top of the page. Each chapter focuses on a certain aspect of mixed modelling. Within each chapter, switch between tabs with codes from the different packages via these buttons:
|R-side||Heterogeneous err. var.|
|Fixed scalar (Smith’s weights)|
|Fixed matrix (fully efficient weighting)|
|G-side||Fixed matrix (kinship/pedigree)|
|First-order factor analytic|
|ModelFit||log-likelihood, AIC, BIC|
|ANOVA||with DF adjustments|
|Extract||estimated R-side matrix|
|estimated G-side matrix|
In addition to the chapters, there are summaries for certain topics where we felt additional info may be beneficial, but should not bloat the chapters themselves. Just like chapters, summaries can be found by navigating the menu at the top of the page.
Where possible, we try to use example data/analyses for our chapters that have been published in peer-reviewed journals.
In terms of R syntax, we generally try to follow the approach presented on the “R for Data Science” website, making use of:
Please feel free to contact us about any of this!