This course will run from 30th November - 4th December 2015 at SCENE, Loch Lomond national park, Glasgow, Scotland
This 5 day course costs £460 for course only including lunch or £635 all inclusive, including all accommodation and meals and minibus connections to and from a local meeting point.
The course is designed to bridge the gap between basic R coding and more advanced statistical modelling. It will consist of a series of modules (listed below), each lasting roughly half a day, and designed to either build required skills for future modules or to perform a family of analyses that is frequently encountered in the biological literature. Each module will include practical and self-assessment exercises to help attendees gauge their understanding of the concepts. All course materials (including copies of presentations, practical exercises, self-assessment problems, data files, and example scripts prepared by the instructing team) will be provided electronically to
participants.
http://prstatistics.co.uk/courses/advancing-in-r/index.html
Course content is as follows
Day 1:
Module 1 Introduction & data visualization using (graphics) and
(ggplot2)
Module 2 Univariate regression, diagnostics & plotting fits
Day 2:
Module 3 Adding additional continuous predictors (multiple regression).
Module 4 Adding factorial (categorical) predictors & incorporating
interactions (ANCOVA)
Day 3:
Module 5 Model selection & simplification (likelihood ratio tests, AIC)
Module 6 Mixed effects models in theory & practice
Day 4:
Module 7 Generalised Linear Models (binomial and count data)
Module 8 Nonlinear models (polynomial & mechanistic models)
Day 5:
Module 9 Combining methods (e.g., nonlinear mixed effect (NLME) models
& generalised linear mixed effect (GLMM) models)
Module 10 Optional free afternoon to cover previous modules and discuss
data
Please email any inquiries to oliverhooker@prstatistics.co.uk
Please feel free to distribute this material anywhere you feel is
suitable
Upcoming courses; APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND
EPIDEMIOLOGISTS; SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R;
INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS; STABLE ISOTOPE MIXING
MODELS USING SIAR, SIBER AND MIXSIAR; INTRODUCTION TO PYTHON FOR
BIOLOGISTS; TIMES SERIES DATA ANALYSIS FOR ECOLOGISTS AND
CLIMATOLOGISTS USING R; MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL
DATA USING R; ADVANCES IN DNA TAXONOMY USING R; GENETIC DATA ANALYSIS
USING R.
Oliver Hooker
PR~Statistics
