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 [email protected] or visit our
website www.prstatistics.com
Please feel free to distribute this material anywhere you feel is
suitable
Upcoming courses - email for details [email protected]
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
[email protected]
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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