Advancing in statistical modelling for evolutionary biologists and ecologists using R (ADVR07)
4 December 2017 - 8 December 2017
https://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr07/
Course Overview:
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, Dr. Tom Houslay and Dr. Ane Timenes Laugen who are all practicing academics in the field of evolutionary biology. 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.
Intended Audience
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.
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}
Email [log in to unmask] with questions
Other courses
1. November 6th – 10th 2017
LANDSCAPE GENETIC DATA ANALYSIS USING R #LNDG
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http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg02/
2. November 20th - 25th 2017
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SCENE, Scotland, Dr. Matt Denwood
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-epidemiologists-abme03/
3. November 27th – December 1st 2017
INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB
Margam Discovery Centre, Wales, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-ipyb04/
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4. December 4th - 8th 2017
ADVANCING IN STATISTICAL MODELLING USING R #ADVR
Margam Discovery Centre, Wales, Dr. Luc Bussiere, Dr. Tom Houslay, Dr. Ane Timenes Laugen,
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr07/
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5. January 29t – February 2nd 2018
INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM
SCENE, Scotland, Dr. Andrew Parnell
http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm02/
6. January 29th – February 2nd 2018
PHYLOGENETIC DATA ANALYSIS USING R #PHYL
SCENE, Scotland, Dr. Emmanuel Paradis
https://www.prstatistics.com/course/introduction-to-phylogenetic-analysis-with-r-phyg-phyl02/
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7. February 19th – 23rd 2018
MOVEMENT ECOLOGY #MOVE
Margam Discovery Centre, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move01/
8. February 19th – 23rd 2018
GEOMETRIC MORPHOMETRICS USING R #GMMR
Margam Discovery Centre, Wales, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/
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9. March 5th – 9th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION #FEER
Margam Discovery Centre, Wales, 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/
10. March 5th - 9th 2018
SPATIAL PRIORITIZATION USING MARXAN #MRXN
Margam Discovery Centre, Wales, Jennifer McGowan
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/
11. 12th - 16th March 2018
ECOLOGICAL NICHE MODELLING USING R #ENMR
Glasgow, Scotland, Dr. Neftali Sillero
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12. March 19th – 23rd 2018
BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R #BDML
Glasgow, Scotland, Dr William Hoppitt
http://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-likelihood-bdml01/
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13. April 9th – 13th 2018
NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
Glasgow, Scotland, Dr. Marco Scotti
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/
14. April 16th – 20th 2018
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R #IPSY
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-psychologists-ipsy01/
15. April 23rd – 27th 2018
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE #VGNR
Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr01/
16. April 30th – 4th May 2018
QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES #QGER
Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick
COMING SOON www.PRstatistics.com
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17. 7th – 11th May 2018 ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R #MVSP
CANADA (QUEBEC), Prof. Pierre Legendre, Dr. Guillaume Blanchet
18. 14th - 18th May 2018
INTRODUCTION TO MIXED MODELS FOR BIOLOGISTS #IMBR
CANADA (QUEBEC), Prof Subhash Lele
19. 21st - 25th May 2018
INTRODUCTION TO REMOTE SENISNG AND GIS FOR ECOLOGICAL APPLICATIONS
Glasgow, Scotland, Prof. Duccio Rocchini, Dr. Luca Delucchi
https://www.prinformatics.com/course/introduction-to-remote-sensing-and-gis-for-ecological-applications-irms01/
20. 28th May – 1st June 2018
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
CANADA (QUEBEC) Dr. Andrew Parnell, Dr. Andrew Jackson
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21. July 2nd - 5th 2018
SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R #SNAR
Glasgow, Scotland, Prof James Curley
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22. 8th – 12th July 2018
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV
Glasgow, Scotland, Prof David Warton
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23. 23. 16th – 20th July 2018
PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA TO CLINICAL INTERPRETATION #PMBI
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
COMING SOON www.prinformatics.com
24. 23rd – 27th July 2018
EUKARYOTIC METABARCODING
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/
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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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