A repeat of the course titled 'ADVANCING IN R' has been scheduled for 30th November – 4th December 2015
This course will provide an introduction to model selection and simplification, mixed effects models, generalised linear models and non-linear models
The content is designed to bridge the gap between basic R coding and more advanced statistical modelling whilst providing an overview of the most frequently used approaches to analysing data.
The course will be held at SCENE (Scottish Center for Ecology and the Natural Environment), Glasgow, United Kingdom.
Course content is as follows
Module 1 Data manipulation & visualization using {dplyr} and {ggplot}
Module 2 Univariate regression, diagnostics & plotting fits
Module 3 Adding additional continuous predictors (multiple regression);
scaling & collinearity
Module 4 Adding factorial (categorical) predictors & incorporating
interactions (ANCOVA)
Module 5 Model selection & simplification (likelihood ratio tests, AIC)
Module 6 Predicting on the basis of coefficients
Module 7 Mixed effects model in theory and in practice
Module 8 Generalised linear models in theory and practice
Module 9 Nonlinear models (polynomial & mechanistic models)
Module 10 Mored advanced topics & combinig methods (e.g. nonlinear mixed
effect models (NLME) & generalised linear mixed effects models
(GLMM).
Cost is £460 for the 5 days including lunches and refreshments or £635 for an all-inclusive option which includes the addition of accommodation, all meals and refreshments.
For further details or questions please visit www.prstatistics.co.uk or email [log in to unmask]
Please feel free to distribute this information among friends and colleagues where suitable
Other upcoming include courses; ANALYSIS OF STABLE ISOTOPE DATA USING SIA-R; GENETIC DATA ANALYSIS IN R; APPLIED BAYESIAN MODELLING
FOR ECOLOGISTS AND EPIDEMIOLOGISTS; SPATIAL ANALYSIS OF ECOLOGICAL DATA
USING R; of which details on all can be found at www.prstatistics.co.uk
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