Recent activity

UK Advancing In R For Evolutionary Biologists And Ecologists. Dec 4-8

Oliver Hooker, October 13, 2017
 

PR statistics has a great course coming up aimed at biologists with basic stats knowledge and R experience. This course is highly relevant to people researching the biology, ecology and evolution of seabirds. The course will use examples from ecology throughout which will make it easier to apply the skills learnt to seabird data. This course is designed to give attendees a strong foundation in basic stats and R so they can then go one an advance independently after the course - full details below.

"Advancing in statistical modelling for evolutionary biologists and ecologists using R"

Delivered by Dr. Luc Bussiere and Dr. Tom Houslay

www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr07/

This course will run from 4th – 8th December 2017 at Margam Discovery Centre, Wales

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

Monday 4th – Classes from 09:00 to 17:00

Course introduction; techniques for data manipulation, aggregation, and visualisation; introduction to linear regression.

Packages: {tidyr}, {dplyr}, {ggplot2}

Tuesday 5th – Classes from 09:00 to 17:00

Linear models (diagnostics, collinearity, scaling, plotting fitted values); fitting and interpreting interaction terms; model selection and simplication; general linear models and ANCOVA.

Packages: {stats}, {car}

Wednesday 6th – Classes from 09:00 to 17:00

Generalized linear models (logistic and Poisson regression); predicting using model objects and visualizing model fits.

Packages: {broom}, {visreg}, {ggplot2}

Thursday 7th – Classes from 09:00 to 17:00

Mixed effects models in theory and practice; visualising fixed and random effects.

Packages: {lme4}, {broom}, {ggplot2}, {sjPlot}

Friday 8th – Classes from 09:00 to 16:00

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}

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

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

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

  3. REPRODUCIBLE DATA SCIENCE FOR POPULATION GENETICS #RDPG 23rd – 27th October 2017, Wales, Dr. Thibaut Jombart, Zhian Kavar https://www.prstatistics.com/course/reproducible-data-science-for-population-genetics-rdpg01/

  4. STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS USING R #SEMR 23rd – 27th October 2017, Wales, Prof Jarrett Byrnes, Dr. Jon Lefcheck http://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr01/

  5. LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R #LNDG 6th – 10th November 2017, Wales, Prof. Rodney Dyer http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg02/

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

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

  8. ADVANCING IN STATISTICAL MODELLING USING R #ADVR 4th - 8th December 2017, Wales, Dr. Luc Bussiere, Dr. Tom Houslay, Dr. Ane Timenes Laugen, http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr07/

  9. INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM 29th Jan – 2nd Feb 2018, SCENE, Scotland, Dr. Andrew Parnell http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm02/

  10. PHYLOGENETIC DATA ANALYSIS USING R #PHYL 28th Jan – Feb 2nd 2018, SCENE, Scotland, Dr. Emmanuel Paradis https://www.prstatistics.com/course/introduction-to-phylogenetic-analysis-with-r-phyg-phyl02/

  11. MOVEMENT ECOLOGY #MOVE 19th – 23rd February 2018, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr Jonathan Potts https://www.prstatistics.com/course/movement-ecology-move01/

  12. GEOMETRIC MORPHOMETRICS USING R #GMMR 19th – 23rd February 2018, Wales, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/

  13. FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION #FEER 5th – 9th March 2018, SCENE, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. Carlos Carmona http://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer01/

  14. SPATIAL PRIORITIZATION USING MARXAN #MRXN 5th - 9th March 2018, Wales, Jennifer McGowan https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

  15. ECOLOGICAL NICHE MODELLING USING R #ENMR 12th - 16th March 2018, SCENE, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr02/

  16. BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R #BDML 19th – 23rd March 2018, Scotland, Dr William Hoppitt COMING SOON www.PSstatistics.com

  17. NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA 9th – 13th April 2018, SCENE, Scotland, Dr. Marco Scotti https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

  18. INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R #IPSY 16th – 20th April 2018, SCENE, Scotland, Dr. Dale Barr, Dr Luc Bussierre COMING SOON www.PSstatistics.com

  19. MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE #VGNR 23rd – 27th April 2018, SCENE, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet https://www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr01/

  20. QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES #QGER 30th April – 4th May 2018, SCENE, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick COMING SOON www.PRstatistics.com

  21. INTRODUCTION TO MIXED MODELS FOR ECOLOGISTS #IMMR 14th - 18th May 2018, CANADA (QUEBEC) STILL to be confirmed, Prof Subhash Lele, Dr. Guillaume Blanchet

  22. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM 28th May – 1st June 2018, CANADA (QUEBEC) STILL to be confirmed Dr. Andrew Parnell, Dr. Andrew Jackson

  23. SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R #SNAR 2nd - 5th12th July 2018, Prof James Curley COMING SOON www.PSstatistics.com

  24. MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV 8th – 12th July 2018, Prof David Warton https://www.prstatistics.com/course/model-base-multivariate-analysis-of-abundance-data-using-r-mbmv02/

  25. EUKARYOTIC METABARCODING 23rd – 27th July 2018, Wales, Dr. Owen Wangensteen http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

  26. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R #MVSP Prof. Pierre Legendre, Dr. Olivier Gauthier - Date and location to be confirmed

-- Oliver Hooker PhD. PR statistics

2017 publications -

Ecosystem size predicts eco-morphological variability in post-glacial diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging specialization. Journal of animal ecology.

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