"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 Margam Park Discovery Centre, Wales. 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 [hidden email] or visit our website www.prstatistics.com Please feel free to distribute this material anywhere you feel is suitable Our other courses 1. ADVANCED PYTHON FOR BIOLOGISTS (February 2017) #APYB http://www.prstatistics.com/course/advanced-python-biologists-apyb01/ 2. 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/ 3. NETWORK ANAYLSIS FOR ECOLOGISTS USING R (March 2017) #NTWA http://www.prstatistics.com/course/network-analysis-ecologists-ntwa01/ 4. 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/ 5. ADVANCING IN STATISTICAL MODELLING USING R (April 2017) #ADVR http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr06/ 6. CODING, DATA MANAGEMENT AND SHINY APPLICATIONS USING RSTUDIO FOR EVOLUTIONARY BIOLOGISTS AND ECOLOGISTS (May 2017) #CDSR 7. GEOMETRIC MORPHOMETRICS USING R (June 2017) #GMMR http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/ 8. MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA (June 2017) #MASE http://www.prstatistics.com/course/multivariate-analysis-of-spatial-ecological-data-using-r-mase01/ 9. TIME SERIES MODELS FOR ECOLOGISTS USING R (JUNE 2017 (#TSME) 10. BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS (July 2017) #BIGB http://www.prstatistics.com/course/bioinformatics-for-geneticists-and-biologists-bigb02/ 11. SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (August 2017) #SPAE http://www.prstatistics.com/course/spatial-analysis-ecological-data-using-r-spae05/ 12. ECOLOGICAL NICHE MODELLING (October 2017) #ENMR http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr01/ 13. INTRODUCTION TO BIOINFORMATICS USING LINUX (October 2017) #IBUL http://www.prstatistics.com/course/introduction-to-bioinformatics-using-linux-ibul02/ 14. GENETIC DATA ANALYSIS USING R (October 2017 TBC) #GDAR 15. STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (October 2017) #SEMR 16. LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (November 2017 TBC) #LNDG http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg02/ 17. APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (November 2017) #ABME http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-epidemiologists-abme03/ 18. INTRODUCTION TO METHODS FOR REMOTE SENSING (November 2017) #IRMS 19. INTRODUCTION TO PYTHON FOR BIOLOGISTS (November 2017) #IPYB http://www.prstatistics.com/course/introduction-to-python-for-biologists-ipyb04/ 20. DATA VISUALISATION AND MANIPULATION USING PYTHON (December 2017) #DVMP http://www.prstatistics.com/course/data-visualisation-and-manipulation-using-python-dvmp01/ 21. ADVANCING IN STATISTICAL MODELLING USING R (December 2017) #ADVR http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr07/ 22. INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (January 2018) #IBHM http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm02/ 23. ANIMAL MOVEMENT ECOLOGY February 2018) #ANME 24. AQUATIC TELEMENTRY DATA ANALYSIS USIR R (February 2018) #ATDAR 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 _______________________________________________ R-sig-ecology mailing list [hidden email] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology |
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