[R-sig-genetics] STATS COURSE - Advancing in statistical modelling using R

Thu Feb 9 17:10:38 CET 2017

"Advancing in Statistical Modelling using R"

Delivered by Dr. Luc Bussiere and Dr. Ane Timenes Laugen

http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr06/

This course will run from 24th - 28th April 2017 at SCENE field station, 
Loch Lomond, Glasgow

Course only and all inclusive packages are available.

This is an introduction to model selection and simplification, 
generalised linear models, mixed effects 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

Our other courses

1.	STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
28th Feb – 3rd Mar 2017, Scotland, Dr. Andrew Parnell, Dr. Andrew 
Jackson
http://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm03/

2.	NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
6th – 10th March 2017, Scotland, Dr. Marco Scotti
http://www.prstatistics.com/course/network-analysis-ecologists-ntwa01/

3.	ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R 
#MVSP
3rd – 7th April 2017, Scotland, Prof. Pierre Legendre, Dr. Olivier 
Gauthier
http://www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-ecological-data-theory-and-practice-mvsp02/

4.	ADVANCING IN STATISTICAL MODELLING FOR EVOLUTIONARY BIOLOGISTS AND 
ECOLOGISTS USING R #ADVR
17th – 21st April 2017, Scotland, Dr. Luc Bussiere, Dr. Ane Timenes 
Laugen
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr06/

5.	CODING, DATA MANAGEMENT AND SHINY APPLICATIONS USING RSTUDIO FOR 
EVOLUTIONARY BIOLOGISTS AND ECOLOGISTS #CDSR
15th - 19th May, Scotland Dr. Aline Quadros
http://www.prstatistics.com/course/coding-data-management-and-shiny-applications-using-rstudio-for-evolutionary-biologists-and-ecologists-cdsr01/

6.	GEOMETRIC MORPHOMETRICS USING R #GMMR
5th – 9th June 2017, Scotland, Prof. Dean Adams, Prof. Michael 
Collyer, Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/

7.	MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA #MASE
19th – 23rd June, Scotland, Prof. Subhash Lele, Dr. Peter Solymos
http://www.prstatistics.com/course/multivariate-analysis-of-spatial-ecological-data-using-r-mase01/

8.	TIME SERIES MODELS FOR ECOLOGISTS USING R (JUNE 2017 #TSME
26th – 30th June, Canada, Dr. Andrew Parnell

9.	BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS #BIGB
3rd – 7th July 2017, Scotland, Dr. Nic Blouin, Dr. Ian Misner
http://www.prstatistics.com/course/bioinformatics-for-geneticists-and-biologists-bigb02/

10.	SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R #SPAE
7th – 12th August 2017, Scotland, Prof. Jason Matthiopoulos, Dr. James 
Grecian
http://www.prstatistics.com/course/spatial-analysis-ecological-data-using-r-spae05/

11.	ECOLOGICAL NICHE MODELLINGUSING R #ENMR
16th – 20th October 2017, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr01/

12.	INTRODUCTION TO BIOINFORMATICS USING LINUX #IBUL
16th – 20th October, Scotland, Dr. Martin Jones
http://www.prstatistics.com/course/introduction-to-bioinformatics-using-linux-ibul02/

13.	GENETIC DATA ANALYSIS AND EXPLORATION USING R #GDAR
23rd – 27th October, Wales, Dr. Thibaut Jombart, Zhian Kavar
http://www.prstatistics.com/course/genetic-data-analysis-exploration-using-r-gdar03/

14.	STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY 
BIOLOGISTS USING R #SEMR
23rd – 27th October, Wales, Prof Jarrett Byrnes, Dr. Jon Lefcheck

15.	LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R #LNDG
6th – 10th November, Wales, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg02/

16.	APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS #ABME
20th - 25th November 2017, Scotland, Prof. Jason Matthiopoulos, Dr. Matt 
Denwood
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-epidemiologists-abme03/

17.	INTRODUCTION TO METHODS FOR REMOTE SENSING #IRMS
27th Nov – 1st Dec, Wales, Dr Duccio Rocchini, Dr. Luca Delucchi

18.	INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB
27th Nov – 1st Dec, Wales, Dr. Martin Jones
http://www.prstatistics.com/course/introduction-to-python-for-biologists-ipyb04/

19.	DATA VISUALISATION AND MANIPULATION USING PYTHON #DVMP
11th – 15th December 2017, Wales, Dr. Martin Jones
http://www.prstatistics.com/course/data-visualisation-and-manipulation-using-python-dvmp01/

20.	ADVANCING IN STATISTICAL MODELLING USING R #ADVR
11th – 15th December 2017, Wales, Dr. Luc Bussiere, Dr. Tom Houslay, 
Dr. Ane Timenes Laugen,
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr07/

21.	INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM
29th Jan – 2nd Feb, Scotland, Dr. Andrew Parnell
http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm02/

22.	ANIMAL MOVEMENT ECOLOGY (February 2018) #ANME

23.	AQUATIC TELEMENTRY DATA ANALYSIS USIR R (TBC) #ATDAR

24.	PHYLOGENETIC DATA ANALYSIS USING R (TBC) #PHYL

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