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"

Package details

AuthorDavid Warton [aut, cre], Christopher Chung [ctb], Mark Donoghoe [ctb], Eve Slavich [ctb]
MaintainerDavid Warton <david.warton@unsw.edu.au>
LicenseLGPL (>= 2.1)
Version1.2.1
URL https://dwarton.github.io/ecostats/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ecostats")

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ecostats documentation built on July 4, 2024, 9:06 a.m.