The R Book: Crawley/The R Book

By Michael J. Crawley. 2012

849 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/0ef6f17e0f902521f9168fafcde7c96ba286c58d

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In Artificial Intelligence

Citations in the corpus

Camouflage through behavior in moths: the role of background matching and disruptive coloration (2015, neutral): “In order to account for this lack of independence, in accordance with Crawley (2012), we set individual moth’s identity as a random factor.”
Habitat structural complexity metrics improve predictions of fish abundance and distribution (2018, methodology): “Assumptions of homoscedasticity and normality (where relevant) were checked using residual plots (package ‘graphics’, R-Core-Team 2013) and the Fligner– Kileen non-parametric test (Crawley 2012).”
Genetic differentiation and plasticity interact along temperature and precipitation gradients to determine plant performance under climate change (2017, methodology): “The proportion of extravaginal ramets was tested assuming a binomial distribution (number of extra- and intravaginal ramets were linked using cbind function and tested as binary data; Crawley 2012).”
Analysing continuous proportions in ecology and evolution: A practical introduction to beta and Dirichlet regression (2019, methodology): “A common recommendation is to apply a data transformation and proceed with ordinary linear models (Crawley, 2012; Quinn & Keough, 2002; Sokahl & Rohlf, 1995) – a solution that has important drawbacks with respect to interpretability and the validity of the resulting inference.”
A protocol for conducting and presenting results of regression‐type analyses (2016, methodology): “R software programs tend to produce an avalanche of information when fitting a model (Crawley 2012).”