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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.html ,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

Reverse dependencies:

Reverse suggests:mvabund

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=ecostatsto link to this page.

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