This looks like a worthwhile course, as do the other offerings related to R.
The Python courses look interesting, too. I have attained (or am approaching) "old dog" status, so I don't use Python, but my students all love the language and would do everything in Python, if left to their own devices. -ds On Thursday, February 23, 2017 at 9:01:27 AM UTC-5, Oliver Hooker wrote: > > "Advancing in Statistical Modelling for evolutionary biologists and > ecologists using R" > > Delivered by Dr. Luc Bussiere and Dr. Ane Timenes Laugen > > > *http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr06/* > > <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 course will provide an introduction to working with real-life data > typical of those encountered in the field of evolutionary biology and > ecology. The course will be delivered by Dr. Luc Bussiere and Dr. Ane > Timenes Laugen who are both practicing academics in the field of > ecology. This five day course will consist of series of modules (each > lasting roughly half a day) covering model selection and simplification, > generalised linear models, mixed effects models, and non-linear models. > Along the way you will gain in depth experience in data ‘wrangling’, data > and model visualisation and plotting, as well as exploring and > understanding model diagnostics. Classes will comprises of a mixture 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 oliverhoo...@prstatistics.com or visit our > website *www.prstatistics.com* <http://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/* > > <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/* > <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/* > > <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/* > > <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/* > > <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/* > <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/* > > <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/* > > <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/* > > <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/* > > <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/* > > <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/* > > <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/* > > <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/* > > <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/* > > <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/* > > <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/* > > <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/* > > <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 > > > PR statistics > 3/1 > 128 Brunswick Street > Glasgow > G1 1TF > +44 (0) 7966500340 > > -- Oliver Hooker PhD. PR statistics 3/1 128 Brunswick Street Glasgow G1 > 1TF +44 (0) 7966500340 *www.prstatistics.com* > <http://www.prstatistics.com/> > *www.prstatistics.com/organiser/oliver-hooker/* > <http://www.prstatistics.com/organiser/oliver-hooker/> > -- MORPHMET may be accessed via its webpage at http://www.morphometrics.org --- You received this message because you are subscribed to the Google Groups "MORPHMET" group. To unsubscribe from this group and stop receiving emails from it, send an email to morphmet+unsubscr...@morphometrics.org.
