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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: 1.2.1
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: 2024-07-04
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
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

Downloads:

Package source: ecostats_1.2.1.tar.gz
Windows binaries: r-devel: ecostats_1.2.1.zip, r-release: ecostats_1.2.1.zip, r-oldrel: ecostats_1.2.1.zip
macOS binaries: r-release (arm64): ecostats_1.2.1.tgz, r-oldrel (arm64): ecostats_1.2.1.tgz, r-release (x86_64): ecostats_1.2.1.tgz, r-oldrel (x86_64): ecostats_1.2.1.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.