"Advancing in Statistical Modelling using R"
Delivered by Dr. Luc Bussiere and Dr. Tom Houslay
http://prstatistics.com/course/advancing-in-statistical-modelling-using-r-advr-2/
This course will run from 5th – 9th December 2016 at Juniper Hall Field Station, Dorking, Surrey, just south of London, England
This is an introduction to model selection and simplification, mixed effects models, generalised linear models and non-linear models.
The course is aimed at biologists with a basic to moderate knowledge in R. The course content is designed to bridge the gap between basic R coding and more advanced statistical modelling. This five day course will consist of series of modules, each lasting roughly half a day and comprised 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: {tidyr}, {dplyr}, {ggplot2}
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: {stats}, {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 [log in to unmask] or visit our website www.prstatistics.com
Please feel free to distribute this material anywhere you feel is suitable
Upcoming courses - email for details [log in to unmask]
1. INTRODUCTION TO PYTHON FOR BIOLOGISTS (October)
2. LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (October)
3. APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (October)
4. PHYLOGENETIC DATA ANALYSIS USING R (October/November)
5. SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (November)
6. MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (January)
7. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R (Feb/
8. NETWORK ANAYLSIS FOR ECOLOGISTS USING R (March)
9. INTRODUCTION TO GEOMETRIC MORPHOMETRICS USING R (June)
Dates still to be confirmed - email for details [log in to unmask]
• INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS
• BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS
• GENETIC DATA ANALYSIS USING R
• INTRODUCTION TO BIOINFORMATICS USING LINUX
• INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING
Oliver Hooker PhD.
PR statistics
3/1
128 Brunswick Street
Glasgow
G1 1TF
+44 (0) 7966500340
www.prstatistics.com
www.prstatistics.com/organiser/oliver-hooker/Oliver Hooker
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