[MARMAM] Stats course - Advancing in Statistics using R

Oliver Hooker oliverhooker at prstatistics.com
Mon Apr 18 12:50:13 PDT 2016


Can you please post the following stats course aimed at biologists ot 
the marmam list please.

Thank you in advance Oliver Hooker


"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/

This course will run from 2nd – 6th May 2016 at Malhamtarn Field 
Station, North Yorkshire, 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 oliverhooker at prstatistics.com or visit our 
website www.prstatistics.com

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

Upcoming courses - email for details oliverhooker at prstatistics.com
SPATIAL ANALYSIS OF ECOLOGIC AL DATA USING R (APRIL)
TIMES SERIES DATA ANALYSIS FOR ECOLOGISTS AND CLIMATOLOGISTS (May)
INTRODUCTION TO PYTHON FOR BIOLOGISTS (May)
ADVANCES IN DNA TAXONOMY USING R (August)
GENETIC DATA ANALYSIS USING R (August)
INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (August)
MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (October)
LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (October)
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (October)


Dates still to be confirmed - email for details 
oliverhooker at prstatistics.com
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R
INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS
PHYLOGENETIC DATA ANALYSIS USING R
BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS


Oliver Hooker
PR statistics

3/1
128 Brunswick Street
Glasgow
G1 1TF

+44 (0) 7966500340

www.prstatistics.com
www.prstatistics.com/organiser/oliver-hooker/


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