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Advancing in Statistical Modelling Using R


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"Advancing in Statistical Modelling using R" We have a limited number

of places left for this popular course.

 

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

r-advr/

 

Delivered by Dr. Luc Bussiere and Dr. Tom Houslay

 

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@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@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 SPATIAL ANALYSIS OF MULTIVARIATE ECOLOGICAL DATA (July)

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@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

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