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ecostats: Code and Data Accompanying the Eco-Stats Text (Warton 2022)
Functions and data supporting the Eco-Stats text (Warton, 2022, Springer), and solutions to exercises. Functions include tools for using simulation envelopes in diagnostic plots, and a function for diagnostic plots of multivariate linear models. Datasets mentioned in the package are included here (where not available elsewhere) and there is a vignette for each chapter of the text with solutions to exercises.
Getting started
Package overview
README.md
Chapter 10 -- Analysing discrete data -- Exercise solutions and Code Boxes"
Chapter 11 -- Multivariate analysis -- Exercise solutions and Code Boxes"
Chapter 12 -- Visualising many responses -- Exercise solutions and Code Boxes"
Chapter 13 -- Allometric line-fitting -- Exercise solutions and Code Boxes"
Chapter 14 -- Multivariate abundances -- inference about environmental associations -- Exercise solutions and Code Boxes"
Chapter 15 -- Predicting multivariate abundances -- Exercise solutions and Code Boxes"
Chapter 16 -- Understanding variation in environmental response across taxa -- Exercise solutions and Code Boxes"
Chapter 17 -- Studying co-occurrence patterns -- Exercise solutions and Code Boxes"
Chapter 1 -- 'STATS 101' Revision -- Exercise solutions and Code Boxes"
Chapter 2 -- An importance equivalence result -- Exercise solutions and Code Boxes"
Chapter 3 -- Regression with multiple predictor variables -- Exercise solutions and Code Boxes"
Chapter 4 -- Linear models -- anything goes -- Exercise solutions and Code Boxes"
Chapter 5 -- Model selection -- Exercise solutions and Code Boxes"
Chapter 6 -- Mixed effect models -- Exercise solutions and Code Boxes"
Chapter 7 -- Correlated samples in times, space, phylogeny... -- Exercise solutions and Code Boxes"
Chapter 8 -- Wiggly Models -- Exercise solutions and Code Boxes"
Chapter 9 -- Design-based inference -- Exercise solutions and Code Boxes"
Eco-Stats -- Code and Data Accompanying the Eco-Stats Text"
Browse package contents
Package details |
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| Author | David Warton [aut, cre], Christopher Chung [ctb], Mark Donoghoe [ctb], Eve Slavich [ctb] |
| Maintainer | David Warton <david.warton@unsw.edu.au> |
| License | LGPL (>= 2.1) |
| Version | 1.2.1 |
| URL | https://dwarton.github.io/ecostats/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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