[R-sig-genetics] Advancing In R.China.24-28April

[Oliver Hooker]

"Advancing in Statistical Modelling using R"

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

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

This course will run from 24th – 28th April 2017 at FAFU University, 
Fuzhou, China

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

]A more introductory will run the week before (Introduction to R and 
statistics for biologists) and a discount is available if both courses 
are booked at the same time.
http://www.prstatistics.com/course/introduction-to-statistics-and-r-for-biologists-irfb02/
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 upcoming courses
1.	MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (January 
2017) #MBMV
http://www.prstatistics.com/course/model-base-multivariate-analysis-of-abundance-data-using-r-mbmv01/

2.	ADVANCED PYTHON FOR BIOLOGISTS (February 2017) #APYB
http://www.prstatistics.com/course/advanced-python-biologists-apyb01/

3.	STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R 
(February 2017) #SIMM
http://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm03/

4.	NETWORK ANAYLSIS FOR ECOLOGISTS USING R (March 2017) #NTWA
http://www.prstatistics.com/course/network-analysis-ecologists-ntwa01/

5.	ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA (April 
2017) #MVSP
http://www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-ecological-data-theory-and-practice-mvsp02/

6.	INTRODUCTION TO STATISTICS AND R FOR BIOLOGISTS (April 2017) #IRFB
http://www.prstatistics.com/course/introduction-to-statistics-and-r-for-biologists-irfb02/

7.	ADVANCING IN STATISTICAL MODELLING USING R (April 2017) #ADVR
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr05/

8.	ECOLOGICAL AND EVOLUTIONARY BIOGEOGRAPHY USING R (May 2017) #EEBR

9.	GEOMETRIC MORPHOMETRICS USING R (June 2017) #GMMR
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/

10.	MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA (June 2017) #MASE
http://www.prstatistics.com/course/multivariate-analysis-of-spatial-ecological-data-using-r-mase01/

11.	TIME SERIES MODELS FOR ECOLOGISTS USING R (JUNE 2017 (#TSME)

12.	BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS (July 2017) #BIGB
http://www.prstatistics.com/course/bioinformatics-for-geneticists-and-biologists-bigb02/

13.	SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (August 2017) #SPAE
http://www.prstatistics.com/course/spatial-analysis-ecological-data-using-r-spae05/

14.	STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY 
BIOLOGISTS (July 2017 TBC) #SEMR

15.	ECOLOGICAL NICHE MODELLING (October 2017) #ENMR
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr01/

16.	INTRODUCTION TO BIOINFORMATICS USING LINUX (October 2017) #IBUL


17.	GENETIC DATA ANALYSIS USING R (October 2017 TBC) #GDAR

18.	LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (November 2017 
TBC) #LNDG

19.	APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS 
(November 2017) #ABME
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-epidemiologists-abme03/

20.	INTRODUCTION TO METHODS FOR REMOTE SENSING (November 2017) #IRMS

21.	INTRODUCTION TO PYTHON FOR BIOLOGISTS (November 2017) #IPYB

22.	DATA VISUALISATION AND MANIPULATION USING PYTHON (December 2017) 
#DVMP
http://www.prstatistics.com/course/data-visualisation-and-manipulation-using-python-dvmp01/

23.	ADVANCING IN STATISTICAL MODELLING USING R (December 2017) #ADVR

24.	INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (January 2018) #IBHM
http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm02/

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

Oliver Hooker PhD.
www.prstatistics.com
www.prstatistics.com/organiser/oliver-hooker/Oliver Hooker

PR statistics
3/1
128 Brunswick Street
Glasgow
G1 1TF
+44 (0) 7966500340