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ecostats

Code and Data Accompanying the Eco-Stats Text (Warton 2022)

Installation

About

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.

Key Metrics

Version 1.1.11
R ≥ 3.5.0
Published 2022-08-24 611 days ago
Needs compilation? no
License LGPL-2.1
License LGPL-3
CRAN checks ecostats results

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Maintainer

Maintainer

David Warton

david.warton@unsw.edu.au

Authors

David Warton

aut / cre

Christopher Chung

ctb

Mark Donoghoe

ctb

Eve Slavich

ctb

Material

README
Reference manual
Package source

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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

ecostats archive

Depends

R ≥ 3.5.0
mvabund ≥ 4.2

Imports

ecoCopula
GET
graphics
grDevices
MASS
mgcv
mvtnorm
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