« Advancing in Statistical Modelling for evolutionary biologists and ecologists using R »

Delivered by Dr. Luc Bussiere and Dr. Ane Timenes Laugen

Advancing in statistical modelling for evolutionary biologists and ecologsits using R (ADVR06)

This course will run from 24th – 28th April 2017 at SCENE field station, Loch Lomond, Glasgow

Course only and all inclusive packages are available.

This course will provide an introduction to working with real-life data typical of those encountered in the field of evolutionary biology and ecology. The course will be delivered by Dr. Luc Bussiere and Dr. Ane Timenes Laugen who are both practicing academics in the field of ecology. This five day course will consist of series of modules (each lasting roughly half a day) covering model selection and simplification, generalised linear models, mixed effects models, and non-linear models. Along the way you will gain in depth experience in data ‘wrangling’, data and model visualisation and plotting, as well as exploring and understanding model diagnostics. Classes will comprises of a mixture of lectures and practicals designed to either build required skills for future modules or to perform a family of analyses that is frequently encountered in the biological literature.

Course content is as follows

Day 1 Course introduction
• Techniques for data manipulation, aggregation, and visualisation; introduction to linear regression. Packages: {tidyverse}

Day 2 Linear models
• Diagnostics, collinearity, scaling, plotting fitted values); fitting and interpreting interaction terms; model selection and simplification; general linear models and ANCOVA.
• Packages: {car}

Day 3 Generalized linear models
• Logistic and Poisson regression; predicting using model objects and visualizing model fits.
• Packages: {broom}, {visreg}, {ggplot2}

Day 4 Mixed effects models
• Theory and practice of mixed effect models; visualising fixed and random effects.
• Packages: {lme4}, {broom}, {ggplot2}, {sjPlot}

Day 5 Fitting nonlinear functions
• Polynomial & Mechanistic models; brief introduction to more advanced topics & combining methods (e.g., generalised linear mixed effects, nonlinear mixed effects, and zero-inflated and zero-altered models).
• Packages: {nlsTools}.
• Afternoon to discuss own data if time permits

Please email any inquiries to [email protected] or visit our website www.prstatistics.com

Le contenu de cette offre est la responsabilité de ses auteurs. Il leur appartient notamment de fournir les éléments pratiques tels que date, lieu, coordonnées de contact, etc. Cela est d'ailleurs précisé sur la page de dépôt des offres. Les modérateurs de SFEcodiff n'ont pas accès à ces informations.

Pout toute autre question, merci de contacter [email protected].