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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.

Version: 1.2.2
Depends: R (≥ 3.5.0), mvabund (≥ 4.2)
Imports: ecoCopula, GET, graphics, grDevices, MASS, methods, mgcv, mvtnorm, parallel, stats
Suggests: knitr, rmarkdown, ade4, caper, car, corrplot, DAAG, DHARMa, dplyr, gclus, GGally, ggplot2, ggthemes, glmnet, gllvm, glmmTMB, GPArotation, grplasso, lattice, leaps, lme4, MCMCglmm, multcomp, nlme, ordinal, permute, pgirmess, phylobase, phylosignal, psych, reshape2, smatr, testthat, vegan, VGAM, covr
Published: 2025-06-06
DOI: 10.32614/CRAN.package.ecostats
Author: David Warton [aut, cre], Christopher Chung [ctb], Mark Donoghoe [ctb], Eve Slavich [ctb]
Maintainer: David Warton <david.warton at unsw.edu.au>
License: LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)]
URL: https://dwarton.github.io/ecostats/
NeedsCompilation: no
Materials: README
CRAN checks: ecostats results

Documentation:

Reference manual: ecostats.pdf
Vignettes: Chapter 10 – Analysing discrete data – Exercise solutions and Code Boxes (source)
Chapter 11 – Multivariate analysis – Exercise solutions and Code Boxes (source)
Chapter 12 – Visualising many responses – Exercise solutions and Code Boxes (source)
Chapter 13 – Allometric line-fitting – Exercise solutions and Code Boxes (source, R code)
Chapter 14 – Multivariate abundances – inference about environmental associations – Exercise solutions and Code Boxes (source)
Chapter 15 – Predicting multivariate abundances – Exercise solutions and Code Boxes (source)
Chapter 16 – Understanding variation in environmental response across taxa – Exercise solutions and Code Boxes (source)
Chapter 17 – Studying co-occurrence patterns – Exercise solutions and Code Boxes (source, R code)
Chapter 1 – 'STATS 101' Revision – Exercise solutions and Code Boxes (source, R code)
Chapter 2 – An importance equivalence result – Exercise solutions and Code Boxes (source, R code)
Chapter 3 – Regression with multiple predictor variables – Exercise solutions and Code Boxes (source)
Chapter 4 – Linear models – anything goes – Exercise solutions and Code Boxes (source)
Chapter 5 – Model selection – Exercise solutions and Code Boxes (source)
Chapter 6 – Mixed effect models – Exercise solutions and Code Boxes (source, R code)
Chapter 7 – Correlated samples in times, space, phylogeny... – Exercise solutions and Code Boxes (source)
Chapter 8 – Wiggly Models – Exercise solutions and Code Boxes (source, R code)
Chapter 9 – Design-based inference – Exercise solutions and Code Boxes (source)
Eco-Stats – Code and Data Accompanying the Eco-Stats Text (source, R code)

Downloads:

Package source: ecostats_1.2.2.tar.gz
Windows binaries: r-devel: ecostats_1.2.2.zip, r-release: ecostats_1.2.2.zip, r-oldrel: ecostats_1.2.2.zip
macOS binaries: r-release (arm64): ecostats_1.2.2.tgz, r-oldrel (arm64): ecostats_1.2.2.tgz, r-release (x86_64): ecostats_1.2.2.tgz, r-oldrel (x86_64): ecostats_1.2.2.tgz
Old sources: ecostats archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ecostats to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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