Advancing in statistical modelling using R

[Melanie Colón]

"Advancing in statistical modelling using R"

Delivered by Dr Luc Bussiere and Dr Tom Houslay

The course is designed to bridge the gap between basic R coding and more advanced statistical model
advanced statistical modelling. It will consist of a series of modules (listed below), each lasti
(listed below), each lasting roughly half a day, and designed to either build required skills for
build required skills for future modules or to perform a family of analyses that is frequently encount
that is frequently encountered in the biological literature. Each module will include practical and
will include practical and self-assessment exercises to help attendees gauge their understanding
gauge their understanding of the concepts. All course materials (including copies of presentations, p
copies of presentations, practical exercises, self-assessment problems, data files, and example sc
data files, and example scripts prepared by the instructing team) will be provided electronically to
provided electronically to participants.

http://prstatistics.com/course/advancing-in-statistical-modelling-using-r-advr/

Course content
advr/

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 (
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 & gen
generalised linear mixed effect (GLMM) models)
Module 10 Optional free afternoon to cover previous modules and discuss data

This course will run from 2nd - 6th May 2016 at Malham Tarn field station i
in the Yorkshire Dales National Park, England - http://www.field-studies-c
council.org/centres/malhamtarn.aspx

This 5 day course costs £460 for course only including lunch or £655 all inclusive,
inclusive, including all accommodation and meals and minibus connections to and from a
and from a local meeting point.
Please email any inquiries to oliverhooker@prstatistics.com

Please feel free to distribute this material anywhere you feel is suitable

Upcoming courses; APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDE
EPIDEMIOLOGISTS; SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R; INTRODUCTION TO R
TO R AND STATISTICS FOR BIOLOGISTS; STABLE ISOTOPE MIXING MODELS USING SIAR,
SIAR, SIBER AND MIXSIAR; INTRODUCTION TO PYTHON FOR BIOLOGISTS; TIMES SERIE
SERIES DATA ANALYSIS FOR ECOLOGISTS AND CLIMATOLOGISTS USING R; MODEL BASED MULTI
MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R; ADVANCES IN DNA TAXONOMY USING
USING R; GENETIC DATA ANALYSIS USING R.

Oliver Hooker


PR~Statistics