[R-sig-phylo] 'Phylogenetic data analysis using R - STATS COURSE'
"Introduction to phylogenetic analysis with R" Delivered by Dr. Emmanuel Paradis http://prstatistics.com/course/introduction-to-phylogenetic-analysis-with-r-phyg/ This course will run from 31st October – 4th November, Millport Field Station, Ilse of Cumbrae, Scotland The main objectives of the course are to teach the theoretical bases of phylogenetic analysis, and to give the ability to initiate a phylogenetic analysis starting from the files of molecular sequences until the interpretation of the results and the graphics. The introduction will cover a brief historical background and an overview of the different methods of phylogenetic inference. Different kinds of data will be considered, but with a special emphasis on DNA sequences. The software used will be based on R and several specialized packages (particularly ape and phangorn). Other software will be used (e.g., MUSCLE or Clustal) called from R. Overall, the course will cover almost all aspects of phylogenetic inference from reading/downloading the data to plotting the results. This course is intended for PhD and postgraduate students, researchers and engineers in evolutionary biology, systematics, population genetics, ecology, conservation. Course content is as follows Day 1 • Refresher on R: data structures, data manipulation with the indexing system, scripts, using the help system. • Introduction to phylogenetic inference. • Basics on phylogenetic data (sequences, alignments, trees, networks, “splits”) and other data in R. • Reading / writing data from files or from internet. • Matching data. Manipulating labels. Subsetting data. • Main package: ape. Day 2 • Plotting and annotating trees. • Theory of sequence alignment. Comparing alignments. Graphical analyses of alignments. • Main packages: ape (with MUSCLE and Clustal). Day 3 • Theory and methods of phylogeny reconstruction. • Parsimony methods. • Evolutionary distances. • Distance-based methods: General principles and the main methods (NJ, BIONJ, FastME, MVR). • Methods for incomplete distances matrices (NJ*, BIONJ*, MVR*). Methods for combining several matrices (SDM). • Main packages: ape, phangorn. Day 4 • Theory of maximum likelihood estimation. • Application to phylogeny reconstruction. • Substitution models. • Tree space and topology estimation. • Main packages: ape, phangorn. Day 5 • Tree comparison, consensus methods. • Topological space and distances. • Bootstrap. • Bayesian methods. Please email any inquiries to oliverhoo...@prstatistics.com or visit our website www.prstatistics.com Please feel free to distribute this material anywhere you feel is suitable Upcoming courses - email for details oliverhoo...@prstatistics.com 1. ADVANCES IN SPATIAL ANALYSIS OF MULTIVARIATE ECOLOGICAL DATA (July) 2. INTRODUCTION TO BIOINFORMATICS USING LINUX (August) 3. GENETIC DATA ANALYSIS / EXPLORATION USING R (August) 4. INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (August) 5. INTRODUCTION TO PYTHON FOR BIOLOGISTS (October) 6. LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (October) 7. APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (October) 8. SPATIAL ANALYSIS OF ECOLOGIC AL DATA USING R (November) 9. ADVANCING IN STATISTICAL MODELLING USING R (December) 10. MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (January) 11. ADVACNED PYTHON FOR BIOLOGISTS (February) 12. NETWORK ANALYSIS FOR ECOLOGISTS (March) 13. INTRODUCTION TO GEOMETRIC MORPHOMETRICS USING R (June) Dates still to be confirmed - email for details oliverhoo...@prstatistics.com • STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R • INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS • BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS Oliver Hooker PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] UK.CodingDataManageShinyappsRStudioForEvolutionaryBiologists.May15-19
MANAGEMENT AND SHINY APPLICATIONS USING RSTUDIO FOR EVOLUTIONARY BIOLOGISTS AND ECOLOGISTS (May 2017) #CDSR http://www.prstatistics.com/course/coding-data-management-and-shiny-applications-using-rstudio-for-evolutionary-biologists-and-ecologists-cdsr01/ 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. PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ -- Oliver Hooker PhD. PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] STATS COURSE.UK.AdvancingInRforEvolutionaryBiologists.24-28April2017
/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/ 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/ 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/ 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/ 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/ 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/ 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/ 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/ 22. ANIMAL MOVEMENT ECOLOGY (February 2018) #ANME 23. AQUATIC TELEMENTRY DATA ANALYSIS USIR R (TBC) #ATDAR 24. PHYLOGENETIC DATA ANALYSIS USING R (TBC) #PHYL Oliver Hooker PhD. PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] Introduction to R and statistics for biologists - CHINA - April2017
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 -- Oliver Hooker PhD. PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] UK.GeometricMorphometricsUsingRDeanAdams.Jun5-9
2017, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou 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/ 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/ 10. META-ANALYSIS IN ECOLOGY, EVOLUTION AND ENVIRONMENTAL SCIENCES #METR01 24th – 28th July, Scotland, Prof. Julia Koricheva, Prof. Elena Kulinskaya 11. 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/ 12. ECOLOGICAL NICHE MODELLING USING R #ENMR 16th – 20th October 2017, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr01/ 13. INTRODUCTION TO BIOINFORMATICS USING LINUX #IBUL 16th – 20th October, Scotland, Dr. Martin Jones http://www.prstatistics.com/course/introduction-to-bioinformatics-using-linux-ibul02/ 14. 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/ 15. STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS USING R #SEMR 23rd – 27th October, Wales, Prof Jarrett Byrnes, Dr. Jon Lefcheck http://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr01/ 16. 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/ 17. 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/ 18. INTRODUCTION REMOTE SENSING AND GIS APPLICATIONS FOR ECOLOGISTS #IRMS 27th Nov – 1st Dec, Wales, Dr Duccio Rocchini, Dr. Luca Delucchi http://www.prstatistics.com/course/introduction-to-remote-sensing-and-gis-for-ecological-applications-irms01/ 19. 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/ 20. 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/ 21. 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/ 22. INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM 29th Jan – 2nd Feb 2018, Scotland, Dr. Andrew Parnell http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm02/ 23. ANIMAL MOVEMENT ECOLOGY (February 2018) #ANME ??th - ??th February 2018, Wales, Dr Luca Borger, Dr. John Fieberg 24. AQUATIC TELEMENTRY DATA ANALYSIS USIR R (TBC) #ATDAR 25. FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION #FEER01 5th – 9th March 2018, 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/ 26. PHYLOGENETIC DATA ANALYSIS USING R (TBC) #PHYL -- Oliver Hooker PhD. PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] 'FINAL CALL - Phylogentic data analysis using R'
"Phylogenetic data analysis using R" October 31st – November 4th Delivered by Dr. Emmanuel Paradis http://prstatistics.com/course/introduction-to-phylogenetic-analysis-with-r-phyg/ This course will run from 31st October – 4th November, Millport Field Station, Ilse of Cumbrae, Scotland The main objectives of the course are to teach the theoretical bases of phylogenetic analysis, and to give the ability to initiate a phylogenetic analysis starting from the files of molecular sequences until the interpretation of the results and the graphics. The introduction will cover a brief historical background and an overview of the different methods of phylogenetic inference. Different kinds of data will be considered, but with a special emphasis on DNA sequences. The software used will be based on R and several specialized packages (particularly ape and phangorn). Other software will be used (e.g., MUSCLE or Clustal) called from R. Overall, the course will cover almost all aspects of phylogenetic inference from reading/downloading the data to plotting the results. This course is intended for PhD and postgraduate students, researchers and engineers in evolutionary biology, systematics, population genetics, ecology, conservation. Course content is as follows Day 1 • Refresher on R: data structures, data manipulation with the indexing system, scripts, using the help system. • Introduction to phylogenetic inference. • Basics on phylogenetic data (sequences, alignments, trees, networks, “splits”) and other data in R. • Reading / writing data from files or from internet. • Matching data. Manipulating labels. Subsetting data. • Main package: ape. Day 2 • Plotting and annotating trees. • Theory of sequence alignment. Comparing alignments. Graphical analyses of alignments. • Main packages: ape (with MUSCLE and Clustal). Day 3 • Theory and methods of phylogeny reconstruction. • Parsimony methods. • Evolutionary distances. • Distance-based methods: General principles and the main methods (NJ, BIONJ, FastME, MVR). • Methods for incomplete distances matrices (NJ*, BIONJ*, MVR*). Methods for combining several matrices (SDM). • Main packages: ape, phangorn. Day 4 • Theory of maximum likelihood estimation. • Application to phylogeny reconstruction. • Substitution models. • Tree space and topology estimation. • Main packages: ape, phangorn. Day 5 • Tree comparison, consensus methods. • Topological space and distances. • Bootstrap. • Bayesian methods. Please email any inquiries to oliverhoo...@prstatistics.com or visit our website www.prstatistics.com Please feel free to distribute this material anywhere you feel is suitable Upcoming courses - email for details oliverhoo...@prstatistics.com 1. INTRODUCTION TO PYTHON FOR BIOLOGISTS (October) 2. LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (October) 3. APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (October) 4. SPATIAL ANALYSIS OF ECOLOGIC AL DATA USING R (November) 5. ADVANCING IN STATISTICAL MODELLING USING R (December) 6. MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (January) 7. ADVANCED PYTHON FOR BIOLOGISTS (February) 8. STABLE ISOTOPE MIXING MODELSUSING R (February/Mrch) 9. NETWORK ANALYSIS FOR ECOLOGISTS (March) 10. INTRODUCTION TO GEOMETRIC MORPHOMETRICS USING R (June) Dates still to be confirmed - email for details oliverhoo...@prstatistics.com • INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS • BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS • ADVANCES IN SPATIAL ANALYSIS OF MULTIVARIATE ECOLOGICAL DATA • INTRODUCTION TO BIOINFORMATICS USING LINUX • GENETIC DATA ANALYSIS / EXPLORATION USING R • INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING Oliver Hooker PR Statistics -- Oliver Hooker PhD. PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] Introduction to R and statistics for biologists - CHINA - April2017
m/course/advancing-statistical-modelling-using-r-advr07/ 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. PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] Course on Landscape Genomics/Genetics (RodneyDyer) UK 6-10November
VSP Prof. Pierre Legendre, Dr. Olivier Gauthier - Date and location to be confirmed 16. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM Dr. Andrew Parnell, Dr. Andrew Jackson – Date and location to be confirmed 17. NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA Dr. Marco Scotti - Date and location to be confirmed 18. MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV0 Prof David Warton - Date and location to be confirmed 19. PHYLOGENETIC DATA ANALYSIS USING R (TBC) #PHYL Dr. Emmanuel Paradis – Date and location to be confirmed Upcoming PR informatics courses 1. BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS #BIGB 3rd – 7th July 2017, Scotland, Dr. Nic Blouin, Dr. Ian Misner http://www.prinformatics.com/course/bioinformatics-for-geneticists-and-biologists-bigb02/ 2. INTRODUCTION TO BIOINFORMATICS USING LINUX #IBUL 16th – 20th October, Scotland, Dr. Martin Jones http://www.prstatistics.com/course/introduction-to-bioinformatics-using-linux-ibul02/ 3. 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/ 4. INTRODUCTION REMOTE SENSING AND GIS APPLICATIONS FOR ECOLOGISTS #IRMS 27th Nov – 1st Dec, Wales, Dr Duccio Rocchini, Dr. Luca Delucchi http://www.prstatistics.com/course/introduction-to-remote-sensing-and-gis-for-ecological-applications-irms01/ 5. DATA VISUALISATION AND MANIPULATION USING PYTHON #DVMP 11th – 15th December 2017, Wales, Dr. Martin Jones http://www.prinformatics.com/course/data-visualisation-and-manipulation-using-python-dvmp01/ 6. EUKARYOTIC METABARCODING 23rd – 27th July 2018, Scotland, Dr. Owen Wangensteen http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/ 7. CODING, DATA MANAGEMENT AND SHINY APPLICATIONS USING RSTUDIO FOR EVOLUTIONARY BIOLOGISTS AND ECOLOGISTS #CDSR Dr. Aline Quadros -- 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. prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 3/1, 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 -- 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. prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 3/1, 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] UK.PhylogenticDataAnalysisUsingR.Paradis.Jan28-Feb2
, Scotland, Dr. Emmanuel Paradis https://www.prstatistics.com/course/introduction-to-phylogenetic-analysis-with-r-phyg-phyl02/ 11. ANIMAL MOVEMENT ECOLOGY (February 2018) #ANME 19th – 23rd February 2018, Wales, Dr Luca Borger, Dr. John Fieberg 12. 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/ 13. FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION #FEER 5th – 9th March 2018, 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. MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV0 8th – 12th July 2018, Scotland, Prof David Warton 15. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R #MVSP Prof. Pierre Legendre, Dr. Olivier Gauthier - Date and location to be confirmed 16. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM Dr. Andrew Parnell, Dr. Andrew Jackson – Date and location to be confirmed 17. NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA Dr. Marco Scotti - Date and location to be confirmed 18. MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA #MASE Prof. Subhash Lele, Dr. Peter Solymos - Date and location to be confirmed 19. TIME SERIES MODELS FOR ECOLOGISTS USING R (JUNE 2017 #TSME Dr. Andrew Parnell - Date and location to be confirmed -- PRinformatics upcoming courses - email for details oliverhoo...@prinformaticss.com for details 1. INTRODUCTION TO BIOINFORMATICS USING LINUX #IBUL 16th – 20th October, Scotland, Dr. Martin Jones http://www.prstatistics.com/course/introduction-to-bioinformatics-using-linux-ibul02/ 2. 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/ 3. INTRODUCTION REMOTE SENSING AND GIS APPLICATIONS FOR ECOLOGISTS #IRMS 27th Nov – 1st Dec, Wales, Dr Duccio Rocchini, Dr. Luca Delucchi http://www.prstatistics.com/course/introduction-to-remote-sensing-and-gis-for-ecological-applications-irms01/ 4. DATA VISUALISATION AND MANIPULATION USING PYTHON #DVMP 11th – 15th December 2017, Wales, Dr. Martin Jones http://www.prinformatics.com/course/data-visualisation-and-manipulation-using-python-dvmp01/ 5. EUKARYOTIC METABARCODING 23rd – 27th July 2018, Scotland, Dr. Owen Wangensteen http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/ 6. CODING, DATA MANAGEMENT AND SHINY APPLICATIONS USING RSTUDIO FOR EVOLUTIONARY BIOLOGISTS AND ECOLOGISTS #CDSR Dr. Aline Quadros Date and location to be confirmed 7. BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS #BIGB Dr. Nic Blouin, Dr. Ian Misner 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. prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 3/1, 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 -- 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. prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] Phylogenetic comparative methods for studying diversification and phenotypic evolution
A COMPLETE GUIDE TO MIXED MODELS (INCLUDING TEMPORAL AND SPATIAL AUTOCORRELATION) (MMTS01) Crete, Greece, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/a-complete-guide-to-mixed-models-including-temporal-and-spatial-autocorrelation-mmts01/ -- Oliver Hooker PhD. PR statistics 2018 publications - Alternative routes to piscivory: Contrasting growth trajectories in brown trout (Salmo trutta) ecotypes exhibiting contrasting life history strategies. Ecology of Freshwater Fish. DOI to follow Phenotypic and resource use partitioning amongst sympatric lacustrine brown trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 10.1093/biolinnean/bly032 prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] Introduction to GIS and spatial analysis with R (GISR01)
. June 17th – 21st 2019 INTRODUCTION TO PYTHON FOR BIOLOGISTS (IPYB06) Glasgow, Scotland, Dr. Martin Jones http://www.prinformatics.com/course/introduction-to-python-for-biologists-ipyb06/ 14. June 24th – 28th 2019 MICROBIOME DATA ANALYSIS USING QIIME2 (MBQM01) Glasgow, Scotland, Dr. Yoshiki Vazquez Baeza, Dr. Antonio Gonzalez Pena https://www.prinformatics.com/course/microbiome-data-analysis-using-qiime2-mbqm01/ 15. June 24th – 28th 2019 ADVANCED PYTHON FOR BIOLOGISTS (APYB03) Glasgow, Scotland, Dr. Martin Jones www.prinformatics.com/course/advanced-python-biologists-apyb03/ 16. July 1st – 5th 2019 BIOACOUSTICS FOR ECOLOGISTS: HARDWARE, SURVEY DESIGN AND DATA ANALYSIS (BIAC01) Glasgow, Scotland, Dr. Paul Howden-Leach https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-survey-design-and-data-analysis-biac01/ 17. July 1st – 5th 2019 DATA VISUALISATION AND MANIPULATION USING PYTHON (DVMP01) Glasgow, Scotland, Dr. Martin Jones http://www.prinformatics.com/course/data-visualisation-and-manipulation-using-python-dvmp01/ 18. July 8th – 12th 2019 INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING USING R (IBHM03) Glasgow, Scotland, Dr. Andrew Parnell https://www.psstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm03/ 19. July 29th – August 2nd 2019 INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (ISPE01) Glasgow, Scotland, Dr. Jakub Nowosad https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-ecological-data-using-r-ispe01/ 20. September 2nd – 6th 2019 APPLIED METHODS FOR ANALYSING CAPTURE-RECAPTURE (MARK-RECAPTURE) DATA USING SPATIALLY EXPLICIT AND NON-SPATIAL TECHNIQUES (MARK01) Glasgow, Scotland, Dr. Joanne Potts, Dr. David Borchers https://www.prstatistics.com/course/applied-methods-for-analysing-capture-recapture-mark-recapture-data-using-spatially-explicit-and-non-spatial-techniques-mark01/ 21. September 16th – 20th 2019 R PACKAGE DESIGN AND DEVELOPMENT AND REPRODUCIBLE DATA SCIENCE FOR BIOLOGISTS (RPKG01) Glasgow, Scotland, Dr. Cory Merow, Dr. Andy Rominger https://www.prstatistics.com/course/r-package-design-and-development-and-reproducible-data-science-for-biologists-rpkg01/ 22. September 30th – October 4th 2019 GEOMETRIC MORPHOMETRICS USING R (GMMR02) Glasgow, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr02/ 23. October 7th – 11th 2019 GENERAL ADDITIVE MODELS (GAM) AND MIXED MODELS (GAMM) (GAMM01) Glasgow, Scotland, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/general-additive-models-gam-and-mixed-models-gamm-gamm01/ 24. October 7th – 11th 2019 CONSERVATION PLANNING USING PRIORITIZR : FROM THEORY TO PRACTICE (PRTZ01) Athens, GREECE, Dr Richard Schuster and Nina Morell https://www.prstatistics.com/course/conservation-planning-using-prioritizr-from-theory-to-practice-prtz01/ 25. October 21st – 25th 2019 A COMPLETE GUIDE TO MIXED MODELS (INCLUDING TEMPORAL AND SPATIAL AUTOCORRELATION) (MMTS01) Athens, GREECE, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/a-complete-guide-to-mixed-models-including-temporal-and-spatial-autocorrelation-mmts01/ 26. November 11th – 15th 2019 APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME05) Glasgow, Scotland, Dr Matt Denwood, Emma Howard https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme05/ 27. November 18th – 22nd 2019 INTRODUCTION TO STRUCTURED POPULATION MODELS AND DEMOGRAPHIC DISTRIBUTION MODELS (IIPM01) Athens, GREECE, Dr Cory Merow https://www.prstatistics.com/course/introduction-to-structured-population-models-and-demographic-distribution-models-iipm01/ 28. November 25th – 29th 2019 ADVANCED RANGE, NICHE, AND DISTRIBUTION MODELING (ASDM01) Athens, GREECE, Dr Cory Merow https://www.prstatistics.com/course/advanced-range-niche-and-distribution-modeling-asdm01/ -- Oliver Hooker PhD. PR statistics 2018 publications - Alternative routes to piscivory: Contrasting growth trajectories in brown trout (Salmo trutta) ecotypes exhibiting contrasting life history strategies. Ecology of Freshwater Fish. Phenotypic and resource use partitioning amongst sympatric lacustrine brown trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 10.1093/biolinnean/bly032 prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 [[alternative HTML version deleted]] ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] Analysing Environmental Adaptation Using Landscape Genomics in R (EDAP01)
cape-genetics-edap01 8. July 29th – August 2nd 2019 INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (ISPE01) Glasgow, Scotland, Dr. Jakub Nowosad https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-ecological-data-using-r-ispe01/ 9. September 2nd – 6th 2019 APPLIED METHODS FOR ANALYSING CAPTURE-RECAPTURE (MARK-RECAPTURE) DATA USING SPATIALLY EXPLICIT AND NON-SPATIAL TECHNIQUES (MARK01) Glasgow, Scotland, Dr. Joanne Potts, Dr. David Borchers https://www.prstatistics.com/course/applied-methods-for-analysing-capture-recapture-mark-recapture-data-using-spatially-explicit-and-non-spatial-techniques-mark01/ 10.September 9th – 13th 2019 DATA SCIENCE/ANALYTICS USING PYTHON (DSAP01) Glasgow, Scotland, Dr. Mark Andrews https://www.psstatistics.com/course/data-science-analytics-using-python-dsap01/ 11.September 16th – 20th 2019 R PACKAGE DESIGN AND DEVELOPMENT AND REPRODUCIBLE DATA SCIENCE FOR BIOLOGISTS (RPKG01) Glasgow, Scotland, Dr. Cory Merow, Dr. Andy Rominger https://www.prstatistics.com/course/r-package-design-and-development-and-reproducible-data-science-for-biologists-rpkg01/ 12.September 16th – 20th 2019 STRUCTURAL EQUATION MODELLING AND PATH ANALYSIS (SMPA01) Glasgow, Scotland, Dr. Mark Andrews https://www.psstatistics.com/course/structural-equation-modelling-and-path-analysis-smpa01/ 13.September 23rd – 27th 2019 GENERALISED LINEAR (GLM), NONLINEAR (NLGLM) AND GENERAL ADDITIVE MODELS (GAM’S) (GNAM01) Glasgow, Scotland, Dr. Mark Andrews https://www.psstatistics.com/course/generalised-linear-glm-nonlinear-nlglm-and-general-additive-models-gam-gnam01/ 14.September 30th – October 4th 2019 GEOMETRIC MORPHOMETRICS USING R (GMMR02) Glasgow, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr02/ 15.October 7th – 11th 2019 CONSERVATION PLANNING USING PRIORITIZR : FROM THEORY TO PRACTICE (PRTZ01) Athens, GREECE, Dr Richard Schuster and Nina Morell https://www.prstatistics.com/course/conservation-planning-using-prioritizr-from-theory-to-practice-prtz01/ 16.October 14th – 18th 2019 INTRODUCTION TO BEHAVIOURAL DATA ANALYSIS USINR R (IBDA01) Glasgow, Scotland, Dr Will Hoppitt https://www.psstatistics.com/course/introduction-to-behavioural-data-analysis-using-r-ibda01/ 17.November 4th – 8th 2019 Glasgow, Scotland, Dr. Mark Andrews INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL SCIENCES USING R AND STAN (BDRS02) https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-for-social-and-behavioural-sciences-using-r-and-stan-bdrs02/ 18.November 4th – 8th 2019 BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKELIHOOD (BDML01) Glasgow, Scotland, Dr Will Hoppitt https://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-likelihood-bdml02/ 19.November 11th – 15th 2019 APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME05) Glasgow, Scotland, Dr Matt Denwood, Emma Howard https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme05/ 20.November 18th – 22nd 2019 INTRODUCTION TO STRUCTURED POPULATION MODELS AND DEMOGRAPHIC DISTRIBUTION MODELS (IIPM01) Athens, GREECE, Dr Cory Merow https://www.prstatistics.com/course/introduction-to-structured-population-models-and-demographic-distribution-models-iipm01/ 21.November 25th – 29th 2019 ADVANCED RANGE, NICHE, AND DISTRIBUTION MODELING (ASDM01) Athens, GREECE, Dr Cory Merow https://www.prstatistics.com/course/advanced-range-niche-and-distributio -- Oliver Hooker PhD. PR statistics 2019 publications; A way forward with eco evo devo: an extended theory of resource polymorphism with postglacial fishes as model systems. Biological Reviews (2019). prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 [[alternative HTML version deleted]] ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] R Package design and development and reproducible data science for biologists - FREE ACCOMMODATION
Rominger https://www.prstatistics.com/course/r-package-design-and-development-and-reproducible-data-science-for-biologists-rpkg01/ 5. September 23rd – 27th 2019 PYTHON FOR DATA SCIENCE, MACHINE LEARNING, AND SCIENTIFIC COMPUTING (PDMS01) Glasgow, Scotland, Dr. Mark Andrews https://www.psstatistics.com/course/python-for-data-science-machine-learning-and-scientific-computing-pdms01/ 6. September 30th – October 4th 2019 THE PRACTICE OF RADSEQ: POPULATION GENOMICS ANALYSIS WITH STACKS (RDSQ01) Glasgow, Scotland, Dr Julien Catchen https://www.prinformatics.com/course/the-practice-of-radseq-population-genomics-analysis-with-stacks-rdsq01/ 7. September 30th – October 4th 2019 INTRODUCTION TO LINUX WORKFLOWS FOR BIOLOGISTS (IBUL04) Glasgow, Scotland, Dr Martin Jones https://www.prinformatics.com/course/introduction-to-linux-workflows-for-biologists-ibul04/ 8. October 7th – 11th 2019 CONSERVATION PLANNING USING PRIORITIZR : FROM THEORY TO PRACTICE (PRTZ01) Athens, GREECE, Dr Richard Schuster and Nina Morell https://www.prstatistics.com/course/conservation-planning-using-prioritizr-from-theory-to-practice-prtz01/ 9. October 14th – 18th 2019 GEOMETRIC MORPHOMETRICS USING R (GMMR02) Glasgow, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr02/ 10. October 14th – 18th 2019 INTRODUCTION TO BEHAVIOURAL DATA ANALYSIS USINR R (IBDA01) Glasgow, Scotland, Dr Will Hoppitt https://www.psstatistics.com/course/introduction-to-behavioural-data-analysis-using-r-ibda01/ 11. October 21st – 25th 2019 MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE (VGNR01) Glasgow, Scotland, Dr. Guillaume Blanchet www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr01/ 12. November 4th – 8th 2019 INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL SCIENCES USING R AND STAN (BDRS02) Glasgow, Scotland, Dr. Mark Andrews https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-for-social-and-behavioural-sciences-using-r-and-stan-bdrs02/ 13. November 4th – 8th 2019 BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKELIHOOD (BDML02) Glasgow, Scotland, Dr Will Hoppitt https://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-likelihood-bdml02/ 14. November 11th – 15th 2019 APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME05) Glasgow, Scotland, Dr Matt Denwood, Emma Howard https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme05/ 15. November 18th – 22nd 2019 INTRODUCTION TO STRUCTURED POPULATION MODELS AND DEMOGRAPHIC DISTRIBUTION MODELS (IIPM01) Athens, GREECE, Dr Cory Merow https://www.prstatistics.com/course/introduction-to-structured-population-models-and-demographic-distribution-models-iipm01/ 16. November 18th – 22nd 2019 GEOSTATISTICS – HANDLING SPATIAL AND SPATIAL-TEMPORAL DATA USING R (GSFE01) Wimmipeg, CANADA, Dr Guillaume Blanchet https://www.prstatistics.com/course/geostatistics-handling-spatial-and-spatial-temporal-data-using-r-gsfe01/ 17. November 25th – 29th 2019 ADVANCED RANGE, NICHE, AND DISTRIBUTION MODELING (ASDM01) Athens, GREECE, Dr Cory Merow https://www.prstatistics.com/course/advanced-range-niche-and-distribution-modeling-asdm01/ 18. January 20th – 24th2020 R4ALL – INTRODUCTION TO R (R4ALL Glasgow, Scotland, Dr Andrew Beckerman, Dr. Dylan Childs https://www.prstatistics.com/course/population-genetics-inference-with-migrate-pgmg01/ 19. March 16th – 20th 2020 POPULATION GENETICS INFERENCE WITH ‘MIGRATE’ (PGMG01) Glasgow, Scotland, Prof. Peter Beerli https://www.prstatistics.com/course/population-genetics-inference-with-migrate-pgmg01/ 20. May 11th – 15th 2020 FORMALIZING UNCERTAINTY: FUZZY LOGIC IN SPECIES DISTRIBUTION AND DIVERSITY PATTERNS (FLDM01) Glasgow, Scotland, Dr. Marcia Barbosa https://www.prstatistics.com/course/formalizing-uncertainty-fuzzy-logic-in-species-distribution-and-diversity-patterns-fldm01/ 21. May 18th – 22nd 2020 STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (SEMR02) Glasgow, Scotland, Dr. Jonathan Lefcheck, Dr. Jim (james) Grace https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr02/ 22. October 5th – 9th 2020 ECOLOGICAL NICHE MODELLING USING R (ENMR04) Glasgow, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr04/ 23. October 11th – 16th 2020 ADVANCED ECOLOGICAL NICHE MODELLING USING R (ABNMR01) Glasgow, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/advanced-ecological-niche-modelling-using-r-anmr01/ -- Oliver Hooker PhD. PR statistics 2019 publications; A way forward with eco evo devo: an extended theory of resource polymorphism with postglacial fishes as model systems. Biological Reviews (2019). prstatistics.com facebook.com/prstatistics
[R-sig-phylo] COURSE - R 4 ALL (Andrew Beckerman & Dylan Childs) (R4LL01) FREE ACCOMMODATION AVAILABLE
R 4 ALL (Andrew Beckerman & Dylan Childs) (R4LL01) FREE ACCOMMODATION AVAILABLE https://www.prstatistics.com/course/r-4-all-andrew-beckerman-dylan-childs-r4ll01/ This course will be delivered by Dr Andrew Beckerman and Dr Dylan Childs, authors of the best selling book “Getting Started with R, An Introduction for Biologists” from the 20th-24th January in Glasgow City Centre. FREE ACCOMMODATION is available for people working in academia and for non-profit organisations. PR Statistics has partnered with R4ALL (www.r4all.org) to offer an introductory course to R, RStudio and statistics for Biologists. Based on their best-selling book, “Getting Started with R, An Introduction for Biologists”, this course provides training in the R statistical and programming language for data management, visualisation, and analysis. The R4All team, with more than 20 years experience delivering this course, will boost you up the initial learning curve, streamline your data management and analysis workflows, and give you scalable solutions. You will develop and take away robust and repeatable workflows for visualisation and statistical analyses, ranging from t-tests and ANOVA to generalised linear models and mixed effects models. For more details or to request an invoice please email oliverhoo...@prstatistics.com or use the link to book via our website. -- Oliver Hooker PhD. PR statistics 2019 publications; A way forward with eco evo devo: an extended theory of resource polymorphism with postglacial fishes as model systems. Biological Reviews (2019). prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 53 Morrison Street Glasgow G5 8LB +44 (0) 7966500340 ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] ONLINE COURSE – Introduction to mixed models using R and Rstudio (IMMR02)
ONLINE COURSE – Introduction to mixed models using R and Rstudio (IMMR02) This course will be delivered live https://www.psstatistics.com/course/introduction-to-mixed-models-using-r-and-rstudio-immr02/ 6 August 2020 - 7 August 2020 TIME ZONE – Western European Time +1 – however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional 1/2 days support after the official course finish date (please email oliverhoo...@psstatistics.com for full details or to discuss how we can accommodate you). Course Overview: In this two day course, we provide a comprehensive practical and theoretical introduction to multilevel models, also known as hierarchical or mixed effects models. We will focus primarily on multilevel linear models, but also cover multilevel generalized linear models. Likewise, we will also describe Bayesian approaches to multilevel modelling. On Day 1, we will begin by focusing on random effects multilevel models. These models make it clear how multilevel models are in fact models of models. In addition, random effects models serve as a solid basis for understanding mixed effects, i.e. fixed and random effects, models. In this coverage of random effects, we will also cover the important concepts of statistical shrinkage in the estimation of effects, as well as intraclass correlation. We then proceed to cover linear mixed effects models, particularly focusing on varying intercept and/or varying slopes regresssion models. On Day 2, we cover further aspects of linear mixed effects models, including multilevel models for nested and crossed data data, and group level predictor variables. On Day 2, we also cover Bayesian approaches to multilevel levels using the brms R package. Please email oliverhoo...@psstatistics.com with any questions -- Oliver Hooker PhD. PR statistics 2020 publications; Parallelism in eco-morphology and gene expression despite variable evolutionary and genomic backgrounds in a Holarctic fish. PLOS GENETICS (2020). IN PRESS www.PRstatistics.com facebook.com/PRstatistics/ twitter.com/PRstatistics 53 Morrison Street Glasgow G5 8LB +44 (0) 7966500340 +44 (0) 7966500340 ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] Introduction to generalised linear models using R and Rstudio (IGLM01)
ONLINE COURSE – Introduction to generalised linear models using R and Rstudio (IGLM01) This course will be delivered live https://www.psstatistics.com/course/introduction-to-generalised-linear-models-using-r-and-rstudio-iglm01/ 23 July 2020 - 24 July TIME ZONE – Western European Time +1 – however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional 1/2 days support after the official course finish date (please email oliverhoo...@psstatistics.com for full details or to discuss how we can accommodate you). Course Overview: In this two day course, we provide a comprehensive practical and theoretical introduction to generalized linear models using R. Generalized linear models are generalizations of linear regression models for situations where the outcome variable is, for example, a binary, or ordinal, or count variable, etc. The specific models we cover include binary, binomial, ordinal, and categorical logistic regression, Poisson and negative binomial regression for count variables. We will also cover zero-inflated Poisson and negative binomial regression models. On the first day, we begin by providing a brief overview of the normal general linear model. Understanding this model is vital for the proper understanding of how it is generalized in generalized linear models. Next, we introduce the widely used binary logistic regression model, which is is a regression model for when the outcome variable is binary. Next, we cover the ordinal logistic regression model, specifically the cumulative logit ordinal regression model, which is used for the ordinal outcome data. We then cover the case of the categorical, also known as the multinomial, logistic regression, which is for modelling outcomes variables that are polychotomous, i.e., have more than two categorically distinct values. On the second day, we begin by covering Poisson regression, which is widely used for modelling outcome variables that are counts (i.e the number of times something has happened). We then cover the binomial logistic and negative binomial models, which are used for similar types of problems as those for which Poisson models are used, but make different or less restrictive assumptions. Finally, we will cover zero inflated Poisson and negative binomial models, which are for count data with excessive numbers of zero observations. Email oliverhoo...@psstatistics.com with any questions This is one module of a five module series – you do not need to attend them all but they are designed to compliment each other. Please see the links below July 23rd – 24th Introduction to generalised linear models using R and Rstudio https://www.psstatistics.com/course/introduction-to-generalised-linear-models-using-r-and-rstudio-iglm01/ August 6th – 7th Introduction to mixed models using R and Rstudio https://www.psstatistics.com/course/introduction-to-mixed-models-using-r-and-rstudio-immr02/ August 20th – 21st Data visualization using GG plot 2 (R and R studio) https://www.psstatistics.com/course/introduction-to-data-visualization-using-gg-plot-2-r-and-rstudio-dvgg01/ September 3rd – 4th Data wrangling using R and Rstudio https://www.psstatistics.com/course/introduction-data-wrangling-using-r-and-rstudio-dwrs01/ -- Oliver Hooker PhD. PR statistics 2020 publications; Parallelism in eco-morphology and gene expression despite variable evolutionary and genomic backgrounds in a Holarctic fish. PLOS GENETICS (2020). IN PRESS www.PRstatistics.com facebook.com/PRstatistics/ twitter.com/PRstatistics 53 Morrison Street Glasgow G5 8LB +44 (0) 7966500340 +44 (0) 7966500340 ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] Bayesian hierarchical modelling using R (IBHM05)
Apologies for cross posting and the flurry of posts. Bayesian hierarchical modelling using R (IBHM05) https://www.prstatistics.com/course/bayesian-hierarchical-modelling-using-r-ibhm05/ We still have places available This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – GMT – however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional 1/2 days support after the official course finish date (please email oliverhoo...@prstatistics.com for full details or to discuss how we can accommodate you). Course Overview: This course will cover introductory hierarchical modelling for real-world data sets from a Bayesian perspective. These methods lie at the forefront of statistics research and are a vital tool in the scientist’s toolbox. The course focuses on introducing concepts and demonstrating good practice in hierarchical models. All methods are demonstrated with data sets which participants can run themselves. Participants will be taught how to fit hierarchical models using the Bayesian modelling software Jags and Stan through the R software interface. The course covers the full gamut from simple regression models through to full generalised multivariate hierarchical structures. A Bayesian approach is taken throughout, meaning that participants can include all available information in their models and estimates all unknown quantities with uncertainty. Participants are encouraged to bring their own data sets for discussion with the course tutors. Friday 27th November – Classes from 09:30 to 17:30 Module 3: Simple hierarchical regression models Module 4: Hierarchical models for non-Gaussian data Practical: Fitting hierarchical models Friday 4th December – Classes from 09:30 to 17:30 Module 5: Hierarchical models vs mixed effects models Module 6: Multivariate and multi-layer hierarchical models Practical: Advanced examples of hierarchical models Friday 11th December – Classes from 09:30 to 17:30 Module 7: Shrinkage and variable selection Module 8: Hierarchical models and partial pooling Practical: Shrinkage modelling -- Oliver Hooker PhD. PR statistics 2020 publications; Parallelism in eco-morphology and gene expression despite variable evolutionary and genomic backgrounds in a Holarctic fish. PLOS GENETICS (2020). IN PRESS www.PRstatistics.com facebook.com/PRstatistics/ twitter.com/PRstatistics 53 Morrison Street Glasgow G5 8LB +44 (0) 7966500340 +44 (0) 7966500340 ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] Fundamentals of populations genetics using R (FOPG01)
Fundamentals of populations genetics using R (FOPG01) https://www.prstatistics.com/course/fundamentals-of-populations-genetics-using-r-fopg01/ This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Western European Summer Time – however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional 1/2 days support after the official course finish date (please email oliverhoo...@prstatistics.com for full details or to discuss how we can accommodate you). Course Overview: The aim of the course is to introduce you to the fundamentals of population genetics theory, through quantitative visualizations of the dynamic of genetic elements within and between populations, using the R statistical programming language. We will be using a mixture of lectures, exercises, and case studies to increase the intuitive understanding of population genetics concepts and facilitate conceptual experimentation and visualization in R. By the end of the course participants should: 1. Understand the fundamentals of population genetics theory 2. Be able to use R to visualize data sets and write simple functions 3. Know how to import different data types into and out of R 4. Create simple population genetics simulations in R 5. Understand essential summary statistics from the population genetics literature (e.g. FST , D, pi, theta, etc.) 6. Be able to generate publication quality figures from population genetic data This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Western European Summer Time – however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional 1/2 days support after the official course finish date (please email oliverhoo...@prstatistics.com for full details or to discuss how we can accommodate you). Course Programme Monday 30th November – Classes from 09:30 to 13:30 1) Introduction to the course 2) Learning through programming 3) Key concepts related to population genetic data Wednesday 2nd December – Classes from 09:30 to 13:30 1) Retrieving open data from web sources 2) Using R packages for data retrieva 3) Generating and switching between R data classes 4) Reading different types of genetic data into R 5) Understanding R’s statistical toolbox Friday 4th December – Classes from 09:30 to 13:30 1) Introduction to the Hardy-Weinberg equilibrium assumption 2) Allele frequencies vs genotype frequencies 3) Probability and likelihood in population genetics Monday 7th – Classes from 09:30 to 13:30 1) Generating basic simulations in R 2) Reading and writing data files in R 3) Introduction to algorithms 4) Expectation-maximization of likelihood Wednesday 9th – Classes from 09:30 to 13:30 1) Interpreting violations of expectations 2) More complex genetic data (multiple loci) 3) Fitness and selection on genetic elements Friday 11th – Classes from 09:30 to 13:30 1) Neutral variation and genetic drift 2) Population assignment and comparison 3) 2D and 3D visualization in R -- Oliver Hooker PhD. PR statistics 2020 publications; Parallelism in eco-morphology and gene expression despite variable evolutionary and genomic backgrounds in a Holarctic fish. PLOS GENETICS (2020). IN PRESS www.PRstatistics.com facebook.com/PRstatistics/ twitter.com/PRstatistics 53 Morrison Street Glasgow G5 8LB +44 (0) 7966500340 +44 (0) 7966500340 ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] FREE 1 DAY INTRO TO R AND R STUDIO (FIRR01)
FREE 1 DAY INTRO TO R AND R STUDIO (FIRR01) 20 October 2021 https://www.prstatistics.com/course/free-1-day-intro-to-r-and-r-studio-firr01/ Course Overview: In this free one day course, we provide a comprehensive introduction to R and how it can be used for data science and statistics. We begin by providing a thorough introduction to RStudio, which is the most popular and powerful interfaces for using R. We then introduce all the fundamentals of the R language and R environment: variables and assignment, data structures, operators, functions, scripts, packages, projects, etc. IF YOU ARE IN A POSITION TO CONTRIBUTE TOWARDS YOUR PLACE IT WOULD BE APPRECIATED SO WE CAN USE ANY REVENUE TO FUND OTHER FREE COURSES – THERE IS THE OPTION TO PURCHASE A TICKET FOR £20.00 WE ALSO RECOMMEND ORGANISING A SAMALL GROUP IF YOU HAVE COLLEAGUES WHO ALSO WANT TO ATTEND, THIS WAY WE CAN MAXIMISE HOW MANY PEOPLE CAN ACCESS THE COURSE Wednesday 17th – Classes from 12:00 to 14:00 Topic 1: The What and Why of R. We’ll start by briefly explaining what R is, what is used for, and why is has become so popular. Wednesday 17th – Classes from 15:00 to 17:00 Topic 2: Guided tour of RStudio. RStudio is the most widely used interface to R. We will provide a tour of all its parts and features and how to use it effectively. Wednesday 17th – Classes from 18:00 to 20:00 Topic 3: First steps in R. Now, we cover all the fundamentals of R and the R environment. These include variables and assignment, data structures such as vectors, data frames, lists, etc, operations on data structures, functions, scripts, installing and loading packages, using RStudio projects, reading in data, etc. This topic will be detailed so that everyone obtains a solid grasp on these fundamentals, which makes all subsequent learning much easier. THIS IS A FREE INTRODUCTORY COURSE – LOOK OUT FOR COURSES WITH THE SAME COURSE IMAGE TO FIND MORE PAID COURSES IN THIS SERIES https://www.prstatistics.com/course/introduction-to-generalised-linear-models-using-r-and-rstudio-iglm04/ https://www.prstatistics.com/course/introduction-to-mixed-models-using-r-and-rstudio-immr05/ https://www.prstatistics.com/course/introduction-to-machine-learning-and-deep-learning-using-r-imdl02/ https://www.prstatistics.com/course/free-1-day-intro-to-r-and-r-studio-firr01/ https://www.prstatistics.com/course/model-selection-and-model-simplification-msms02/ https://www.prstatistics.com/course/introduction-to-hidden-markov-and-state-space-models-hmss01/ -- Oliver Hooker PhD. PR statistics Missing Data Analytics (MDAR01) www.prstatistics.com/course/online-course-missing-data-analytics-mdar01 8 September 2021 - 10 September 2021 Functional ecology from organism to ecosystem: theory and computation (FEER02) www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer02/ 13 September 2021 - 17 September 2021 Meta-analysis in ecology, evolution and environmental sciences (METR02) www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and-environmental-sciences-metr02/ 13 September 2021 - 17 September 2021 Species Distribution Modeling using R (SDMR04) www.prstatistics.com/course/species-distribution-modeling-using-r-sdmr04/ 21 September 2021 - 30 September 2021 Phylogenetic comparative methods (PGCM01) https://www.prstatistics.com/course/phylogenetic-comparative-methods-pgcm01/ 22 September 2021 - 28 September 2021 Multivariate analysis of ecological communities in R with the VEGAN package (VGNR03) www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr03/ 4 October 2021 - 8 October Introduction to Data Wrangling and Data Visualization using R (DWDV01) www.prstatistics.com/course/introduction-to-data-wrangling-and-data-visualization-using-r-dwdv01/ 4 October 2021 - 8 October 2021 Introduction to Bayesian modelling with INLA (BMIN02) https://www.prstatistics.com/course/introduction-to-bayesian-modelling-with-inla-bmin02/ 4 October 2021 - 8 October 2021 Landscape genetic data analysis using R (LNDG05) https://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg05/ 18 October 2021 - 27 October 2021 Species distribution modelling with Bayesian statistics in R (SDMB03) www.prstatistics.com/course/species-distribution-modelling-with-bayesian-statistics-in-r-sdmb03/ 6 December 2021 - 10 December 2021 Time Series Data Analysis (TSDA01) https://www.prstatistics.com/course/time-series-data-analysis-tsda01/ 14 December 2021 - 17 December 2021 Bayesian Data Analysis (BADA01) https://www.prstatistics.com/course/bayesian-data-analysis-bada01/ 10th January 2022 - 14th January 2022 Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM08) https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm08/ 1st February 2022 - 4th February 2022 www.PRstatistics.com 53 Morrison Street Glasgow G5 8LB +44 (0) 7966500340
[R-sig-phylo] Introduction to eco-phylogenetics and comparative analyses using R
/course/introduction-to-bayesian-modelling-with-inla-bmin02/ 4 October 2021 - 8 October 2021 Landscape genetic data analysis using R (LNDG05) https://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg05/ 18 October 2021 - 27 October 2021 Species distribution modelling with Bayesian statistics in R (SDMB03) www.prstatistics.com/course/species-distribution-modelling-with-bayesian-statistics-in-r-sdmb03/ 6 December 2021 - 10 December 2021 Time Series Data Analysis (TSDA01) https://www.prstatistics.com/course/time-series-data-analysis-tsda01/ 14 December 2021 - 17 December 2021 Bayesian Data Analysis (BADA01) https://www.prstatistics.com/course/bayesian-data-analysis-bada01/ 10th January 2022 - 14th January 2022 Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM08) https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm08/ 1st February 2022 - 4th February 2022 -- Oliver Hooker PhD. PR statistics Missing Data Analytics (MDAR01) www.prstatistics.com/course/online-course-missing-data-analytics-mdar01 8 September 2021 - 10 September 2021 Functional ecology from organism to ecosystem: theory and computation (FEER02) www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer02/ 13 September 2021 - 17 September 2021 Meta-analysis in ecology, evolution and environmental sciences (METR02) www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and-environmental-sciences-metr02/ 13 September 2021 - 17 September 2021 Species Distribution Modeling using R (SDMR04) www.prstatistics.com/course/species-distribution-modeling-using-r-sdmr04/ 21 September 2021 - 30 September 2021 Phylogenetic comparative methods (PGCM01) https://www.prstatistics.com/course/phylogenetic-comparative-methods-pgcm01/ 22 September 2021 - 28 September 2021 Multivariate analysis of ecological communities in R with the VEGAN package (VGNR03) www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr03/ 4 October 2021 - 8 October Introduction to Data Wrangling and Data Visualization using R (DWDV01) www.prstatistics.com/course/introduction-to-data-wrangling-and-data-visualization-using-r-dwdv01/ 4 October 2021 - 8 October 2021 Introduction to Bayesian modelling with INLA (BMIN02) https://www.prstatistics.com/course/introduction-to-bayesian-modelling-with-inla-bmin02/ 4 October 2021 - 8 October 2021 Landscape genetic data analysis using R (LNDG05) https://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg05/ 18 October 2021 - 27 October 2021 Species distribution modelling with Bayesian statistics in R (SDMB03) www.prstatistics.com/course/species-distribution-modelling-with-bayesian-statistics-in-r-sdmb03/ 6 December 2021 - 10 December 2021 Time Series Data Analysis (TSDA01) https://www.prstatistics.com/course/time-series-data-analysis-tsda01/ 14 December 2021 - 17 December 2021 Bayesian Data Analysis (BADA01) https://www.prstatistics.com/course/bayesian-data-analysis-bada01/ 10th January 2022 - 14th January 2022 Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM08) https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm08/ 1st February 2022 - 4th February 2022 www.PRstatistics.com 53 Morrison Street Glasgow G5 8LB +44 (0) 7966500340 [[alternative HTML version deleted]] ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] Introduction to eco-phylogenetics and comparative analyses using R (ECPH01)
Introduction to eco-phylogenetics and comparative analyses using R (ECPH01) https://www.prstatistics.com/course/introduction-to-eco-phylogenetics-and-comparative-analyses-using-r-ecph01/ Please feel free to share! 7th - 11th February 2022 *Course overview: * In this five day course, we provide an introduction to eco-phylogenetics and comparative analyses using R. We begin by providing an overview on the use of phylogenies as a tool for evolutionary biologists and modern techniques to deal with large phylogenies and to incorporate phylogenetic uncertainty in the analyses (day 1). We then cover some of the most relevant eco-phylogenetic analyses and provide examples from the community to the macro-ecological scale (day 2-3). Finally, we introduce a diversity of classic and modern phylogenetic comparative methods to consider the historical relationship of lineages in eco-evolutionary research, including models of trait evolution, analysis of clade diversification and the use of phylogenies in spatial distribution models among others (day 4-5). email oliverhoo...@prstatistics.com with any questions Course program Monday 7th – Classes from 08:00 to 16:30 • Introduction and a brief phylogenetic primer. Basic terminology for non- phylogeneticists, phylogenetic inference (quick overview), phylogenies aevolutionary hypotheses. • Working with phylogenies. Newick format and structure of the R phylo object. Elementary operations on phylogenies (pruning, resolving polytomies, sticking species). Visualizing large phylogenies. • Building purpose-specific mega-trees from extant trees and incorporating phylogenetic uncertainty. Software phylocom, V.PhyloMaker, SUNPLIN and randtip R package. Tuesday 8th – Classes from 08:00 to 16:30 • Introduction to the eco-phylogenetic framework, classical conception and posterior modifications. • Phylogenetic alpha diversity (how much? how different? how regular?). Community data matrices, null models, applications to biodiversity conservation. • Phylogenetic beta diversity. The turnover and nestedness component of beta diversity. Wednesday 9th – Classes from 08:00 to 16:30 • Incorporating the exact branching pattern of phylogenies into eco-phylogenetic analyses. • Spatial phylogenetics. RPD, RPE and CANEPE analysis. • Overview of functional trait ecology. Functional richness, evenness and divergence.Community weighted means. • Phylogenetic imputation of trait datasets. Bounding prediction uncertainty using evolutionary models. Phylogenies as a null model in ecology. Thursday 10th from 08:00 to 16:30 · The phylogenetic comparative method, from independent contrasts to sophisticated modelling. · Analyses of phylogenetic signal and models of evolution: rationale, common- practice, and new trends. · Correlated evolution and ancestral trait reconstruction. · Analyses of diversification, speciation and extinction rates in a geographic context. Friday 11th – Classes from 08:00 to 16:30 · The need to account for phylogenetic relationships in models. · Most common phylogenetic modelling approaches: PGLS, PGLMM, BayesianPMM. · Putting phylogenies in the geography: how to combine phylogenies with species distribution models. -- Oliver Hooker PhD. PR statistics [[alternative HTML version deleted]] ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] Introduction to eco-phylogenetics and comparative analyses using R (ECPH01)
Introduction to eco-phylogenetics and comparative analyses using R (ECPH01) https://www.prstatistics.com/course/introduction-to-eco-phylogenetics-and-comparative-analyses-using-r-ecph01/ Please feel free to share! 7th - 11th February 2022 Course overview: In this five day course, we provide an introduction to eco-phylogenetics and comparative analyses using R. We begin by providing an overview on the use of phylogenies as a tool for evolutionary biologists and modern techniques to deal with large phylogenies and to incorporate phylogenetic uncertainty in the analyses (day 1). We then cover some of the most relevant eco-phylogenetic analyses and provide examples from the community to the macro-ecological scale (day 2-3). Finally, we introduce a diversity of classic and modern phylogenetic comparative methods to consider the historical relationship of lineages in eco-evolutionary research, including models of trait evolution, analysis of clade diversification and the use of phylogenies in spatial distribution models among others (day 4-5). email oliverhoo...@prstatistics.com with any questions Course program Monday 7th – Classes from 08:00 to 16:30 • Introduction and a brief phylogenetic primer. Basic terminology for non- phylogeneticists, phylogenetic inference (quick overview), phylogenies aevolutionary hypotheses. • Working with phylogenies. Newick format and structure of the R phylo object. Elementary operations on phylogenies (pruning, resolving polytomies, sticking species). Visualizing large phylogenies. • Building purpose-specific mega-trees from extant trees and incorporating phylogenetic uncertainty. Software phylocom, V.PhyloMaker, SUNPLIN and randtip R package. Tuesday 8th – Classes from 08:00 to 16:30 • Introduction to the eco-phylogenetic framework, classical conception and posterior modifications. • Phylogenetic alpha diversity (how much? how different? how regular?). Community data matrices, null models, applications to biodiversity conservation. • Phylogenetic beta diversity. The turnover and nestedness component of beta diversity. Wednesday 9th – Classes from 08:00 to 16:30 • Incorporating the exact branching pattern of phylogenies into eco-phylogenetic analyses. • Spatial phylogenetics. RPD, RPE and CANEPE analysis. • Overview of functional trait ecology. Functional richness, evenness and divergence.Community weighted means. • Phylogenetic imputation of trait datasets. Bounding prediction uncertainty using evolutionary models. Phylogenies as a null model in ecology. Thursday 10th from 08:00 to 16:30 · The phylogenetic comparative method, from independent contrasts to sophisticated modelling. · Analyses of phylogenetic signal and models of evolution: rationale, common- practice, and new trends. · Correlated evolution and ancestral trait reconstruction. · Analyses of diversification, speciation and extinction rates in a geographic context. Friday 11th – Classes from 08:00 to 16:30 · The need to account for phylogenetic relationships in models. · Most common phylogenetic modelling approaches: PGLS, PGLMM, BayesianPMM. · Putting phylogenies in the geography: how to combine phylogenies with species distribution models. -- Oliver Hooker PhD. PR statistics [[alternative HTML version deleted]] ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] The Practice of RADseq: Population Genomics Analysis with Stacks (RADS02)
Not an R course but I thought this might be of interest to some group members, feel free to delete if not suitable. The Practice of RADseq: Population Genomics Analysis with Stacks (RADS02) <https://www.prstatistics.com/course/the-practice-of-radseq-population-genomics-analysis-with-stacks-rads02/> https://www.prstatistics.com/course/the-practice-of-radseq-population-genomics-analysis-with-stacks-rads02/ 2nd - 6th October 2023, 09:00-16:00 CDT (Central Daylight Time), however all sessions will be recorded and made available daily allowing attendees from different time zones to follow. Cost Early bird - book before 18th September £350.00 Normal - book after 18th September £450.00 Delivered by Dr Julian Catchen <https://catchenlab.life.illinois.edu/> Please feel free to share! About This Course This course is aimed at introducing researchers to the theory and practice of using reduced representation libraries – such as RAD sequencing – to preform population genomic analysis in non-model organisms. The course will center on running the software pipeline Stacks, focusing on how the characteristics of the underlying molecular libraries result in weak or robust analytical results. Sessions will be live online, consisting of a blend of lectures, interactive demonstrations, and lab practicals, where participants will have the opportunity to ask questions throughout. Computation will be done on the Amazon AWS Cloud. By the end of the course, participants should be able to: - Navigate the UNIX file system, execute commands, and interact with bioinformatic data files; - Understand how to perform a de novo analysis – without a reference genome – including parameter optimization; - Understand how PCR duplicates and other molecular library characteristics affect analysis; - Complete a reference genome-based analysis; - Take the outputs from Stacks to complete a Structure analysis (de novo), a genome scan based on FST(reference-based), and a private allele analysis. Please email oliverhoo...@prstatistics.com -- Oliver Hooker PhD. PR statistics [[alternative HTML version deleted]] ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] ONLINE COURSE – Introduction to Machine Learning and Deep Learning using R (IMDL03)
a Analysis (BIAC02R) https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-survey-design-and-data-analysis-biac02r/ Python Introduction to Python and Programming in Python (PYIN03R) https://www.prstatistics.com/course/introduction-to-python-and-programming-in-python-pyin03r/ Introduction To Scientific, Numerical And Data Analysis Programming In Python (PYSC02R) https://www.prstatistics.com/course/introduction-to-scientific-numerical-and-data-analysis-programming-in-python-pysc02r/ Machine Learning and Deep Learning Using Python (PYML02R) https://www.prstatistics.com/course/machine-learning-and-deep-learning-using-python-pyml02r/ Python For Data Science, Machine Learning And Scientific Computing (PDMS02R) https://www.prstatistics.com/course/python-for-data-science-machine-learning-and-scientific-computing-pdms02r/ -- Oliver Hooker PhD. PR statistics [[alternative HTML version deleted]] ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] Introduction to Multi’omics Data Analysis from Microbial Communities (MOMC01)
ONLINE COURSE – Introduction to Multi’omics Data Analysis from Microbial Communities (MOMC01) This course will be delivered live https://www.prstatistics.com/course/introduction-to-multiomics-data-analysis-from-microbial-communities-momc01/ Delivered by Dr. Melanie Schirmer Please feel free to share! Friday 10th March 2023 The aim of this one-day workshop is to provide a thorough introduction to computational approaches for the analysis of microbial community profiles with a focus on metagenomic sequencing data. We will explain how taxonomic and functional profiles are generated from raw sequencing data, introduce different bioinformatic approaches to process sequencing data, followed by multivariate statistical analysis and different visualization techniques. The course will consist of a mixture of lectures and hands-on tutorials. The practical part of the course will focus on the analysis of publicly available multi-omics profiles. By the end of the course participants should: 1. Be familiar with different workflows involved in the analysis of large-scale multi-omics studies. 2. Understand how to generate taxonomic, functional and strain profiles from metagenomic sequencing data. 3. Be familiar with applying a multivariate statistical framework to generate hypothesesand account for confounding covariates. 4. Be able to use exploratory data visualizations techniques and visualize results from the statistical analysis using R. Lecture 1 – general Introduction Lecture 2 – Introduction to microbial community analysis Practical 1 – Introduction to R and R notebook Lecture 3 – Metagenomic data visualisation and exploratory analysis with cMD Practical 2 – Metagenomic data visualisation Lecture 4 – Statistics for microbial multi-comics data, methods for multi-comics integration Practical 3 – Multivariate analysis (Linear models and/or MaAsLin2 Lecture 5 – Large-scale multi-omics studies Conclusions – Discussion, questions, wrap up! -- Oliver Hooker PhD. PR statistics [[alternative HTML version deleted]] ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] Introduction to eco-phylogenetics and comparative analyses using R (ECPH02)
ONLINE COURSE – Introduction to eco-phylogenetics and comparative analyses using R (ECPH02) https://www.prstatistics.com/course/introduction-to-eco-phylogenetics-and-comparative-analyses-using-r-ecph02/ Please feel free to share! 13th - 17th March 2023 In this five day course, we provide an introduction to eco-phylogenetics and comparative analyses using R. We begin by providing an overview on the use of phylogenies as a tool for evolutionary biologists and modern techniques to deal with large phylogenies and to incorporate phylogenetic uncertainty in the analyses (day 1). We then cover some of the most relevant eco-phylogenetic analyses and provide examples from the community to themacro-ecological scale (day 2-3). Finally, we introduce a diversity of classic and modern phylogenetic comparative methods to consider the historical relationship of lineages in eco-evolutionary research, including models of trait evolution, analysis of clade diversification and the use of phylogenies in spatial distribution models among others (day 4-5). Please email any questions to oliverhoo...@prstatistics.com Upcoming courses Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM09) February 7th - 10th https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm09/ Making Beautiful And Effective Maps In R (MAPR04) February 23rd - 24th https://www.prstatistics.com/course/making-beautiful-and-effective-maps-in-r-mapr04/Structural Equation Modelling for Ecologists and Evolutionary Biologists (SEMR05) March 6th - 10th https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr05/ Introduction to Multi’omics Data Analysis from Microbial Communities (MOMC01) March 10th https://www.prstatistics.com/course/introduction-to-multiomics-data-analysis-from-microbial-communities-momc01/ Movement Ecology (MOVE05) March 13th - 17th https://www.prstatistics.com/course/online-course-movement-ecology-move05/ A Non Mathematical Introduction To Ordination Methods Using R (ORDM01) March 27th - 30th https://www.prstatistics.com/course/a-non-mathematical-introduction-to-ordination-methods-using-r-ordm01/ Quantitative analysis of infrared spectroscopy data for soil and plant sciences (SPEC01) March 27th - 30th https://www.prstatistics.com/course/quantitative-analysis-of-infrared-spectroscopy-data-for-soil-and-plant-sciences-spec01/ Species Distribution Modeling using R (SDMR05) April 25th - 29th https://www.prstatistics.com/course/species-distribution-modeling-using-r-sdmr05/ Introduction to Bayesian modelling with INLA (BMIN02) May 22nd - 26th https://www.prstatistics.com/course/introduction-to-bayesian-modelling-with-inla-bmin02/ Reproducible and collaborative data analysis with R (RACR02) June 13th - 15th https://www.prstatistics.com/course/reproducible-and-collaborative-data-analysis-with-r-racr02/ Species Distribution Modelling With Bayesian Statistics Using R (SDMB05) September 4th - 8th https://www.prstatistics.com/course/online-course-species-distribution-modelling-with-bayesian-statistics-using-r-sdmb05/ Multivariate Analysis Of Ecological Communities Using R With The VEGAN package (VGNR05) September 18th - 22nd https:// www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-using-r-with-the-vegan-package-vgnr05/ -- Oliver Hooker PhD. PR statistics [[alternative HTML version deleted]] ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] ONLINE COURSE – Machine Learning with R (Intermediate – Advanced) (MLIA01)
/multivariate-analysis-of-ecological-communities-using-r-with-the-vegan-package-vgnr05/ ONLINE COURSE – Path analysis, structural equations and causal inference for biologists (PSCB01) https://www.prstatistics.com/course/path-analysis-structural-equations-and-causal-inference-for-biologists-pscb01/ ONLINE COURSE – Introduction to generalised linear models using R and Rstudio (IGLM06) https://www.prstatistics.com/course/introduction-to-generalised-linear-models-using-r-and-rstudio-iglm06/ ONLINE COURSE – Quantitative analysis of infrared spectroscopy data for soil and plant sciences (SPEC02) https://www.prstatistics.com/course/quantitative-analysis-of-infrared-spectroscopy-data-for-soil-and-plant-sciences-spec02/ ONLINE COURSE – Introduction To Mixed Models Using R And Rstudio (IMMR07) https://www.prstatistics.com/course/introduction-to-mixed-models-using-r-and-rstudio-immr07/ ONLINE COURSE – Model selection and model simplification (MSMS04) https://www.prstatistics.com/course/online-course-model-selection-and-model-simplification-msms04/ ONLINE COURSE – Data wrangling using R and Rstudio (DWRS03) https://www.prstatistics.com/course/data-wrangling-using-r-and-rstudio-dwrs03/ ONLINE COURSE – Data visualization with ggplot2 using R and Rstudio (DVGG04) https://www.prstatistics.com/course/data-visualization-with-ggplot2-using-r-and-rstudio-dvgg04/ -- Oliver Hooker PhD. PR statistics [[alternative HTML version deleted]] ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] An Introduction to Spatial Eco-Phylogenetics and Comparative Methods (SECM01)
ONLINE COURSE – An Introduction to Spatial Eco-Phylogenetics and Comparative Methods (SECM01) https://www.prstats.org/course/an-introduction-to-spatial-eco-phylogenetics-and-comparative-methods-secm01/ 19th - 22nd March 2024 Please feel free to share! COURSE OVERVIEW - In this course we introduce phylogenetic analyses in a spatial context. Phylogenetic analyses often imply a high number of species for which phylogenetic information is unavailable, hence we begin by providing an overview on modern techniques to incorporate phylogenetic uncertainty in the analyses (day 1). We then cover the most popular analyses in the spatial phylogenetics discipline (day 2), with particular focus on the canonical analysis of neo- and paleo-endemism (CANAPE). The second part of the course will be devoted to integrating phylogenetic information into models of geographic distribution of species (day 3), followed by an overview of recent advances to improve ecological forecasts using phylogenetic mixed models in a Bayesian framework (day 4). By the end of the course, participants should: - Know how to expand incomplete phylogenies based on taxonomic information and customizing simulation parameters for optimal expansion. - Understand the metrics and concepts used in spatial phylogenetics (i.e. phylogenetic alpha and beta diversity, phylogenetic endemism), interpret them critically, and assess pros and cons of analytical techniques. - Calculate phylogenetic predictors that can be included as covariates in Species Distribution or Niche Models. - Understand and implement the phylogenetic mixed model (PMM) and translate its predictions into a spatial context. *Day 1 – Expansion of molecular trees using taxonomic information and fundamental metrics of phylogenetic structure* - Software for tree expansion exercises; randtip, PhyloMaker - An overview of the fundamental metrics of phylogenetic structure. Null models. *Day 2 – Spatial Phylogenetics* - Canonical analysis of neo- and paleo- endemism. Metrics, rationale, workflow, and implementation. *Day 3 – Phylogenetic Species Distribution Models* - Putting phylogenies in the geography: the imprints of evolutionary relationships in distribution models. - Combining phylogenies with co-occurrence to infer spatial phylogenetic predictors. - Fitting, evaluating and interpreting Phylogenetic-SDMs. *Day 4 – Beyond PGLS – Bayes and more* - Most common phylogenetic modelling approaches: PGLS - PGLMM - The phylogenetic mixed model (PMM) in a Bayesian framework Please email oliverhoo...@prstatistics.com with any questions. -- Oliver Hooker PhD. PR statistics [[alternative HTML version deleted]] ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] ONLINE COURSE – An Introduction to Spatial Eco-Phylogenetics and Comparative Methods (SECM01)
ONLINE COURSE – An Introduction to Spatial Eco-Phylogenetics and Comparative Methods (SECM01) https://www.prstats.org/course/an-introduction-to-spatial-eco-phylogenetics-and-comparative-methods-secm01/ 19th - 22nd March 2024 Please feel free to share! COURSE OVERVIEW - In this course we introduce phylogenetic analyses in a spatial context. Phylogenetic analyses often imply a high number of species for which phylogenetic information is unavailable, hence we begin by providing an overview on modern techniques to incorporate phylogenetic uncertainty in the analyses (day 1). We then cover the most popular analyses in the spatial phylogenetics discipline (day 2), with particular focus on the canonical analysis of neo- and paleo-endemism (CANAPE). The second part of the course will be devoted to integrating phylogenetic information into models of geographic distribution of species (day 3), followed by an overview of recent advances to improve ecological forecasts using phylogenetic mixed models in a Bayesian framework (day 4). By the end of the course, participants should: - Know how to expand incomplete phylogenies based on taxonomic information and customizing simulation parameters for optimal expansion. - Understand the metrics and concepts used in spatial phylogenetics (i.e. phylogenetic alpha and beta diversity, phylogenetic endemism), interpret them critically, and assess pros and cons of analytical techniques. - Calculate phylogenetic predictors that can be included as covariates in Species Distribution or Niche Models. - Understand and implement the phylogenetic mixed model (PMM) and translate its predictions into a spatial context. *Day 1 – Expansion of molecular trees using taxonomic information and fundamental metrics of phylogenetic structure* - Software for tree expansion exercises; randtip, PhyloMaker - An overview of the fundamental metrics of phylogenetic structure. Null models. *Day 2 – Spatial Phylogenetics* - Canonical analysis of neo- and paleo- endemism. Metrics, rationale, workflow, and implementation. *Day 3 – Phylogenetic Species Distribution Models* - Putting phylogenies in the geography: the imprints of evolutionary relationships in distribution models. - Combining phylogenies with co-occurrence to infer spatial phylogenetic predictors. - Fitting, evaluating and interpreting Phylogenetic-SDMs. *Day 4 – Beyond PGLS – Bayes and more* - Most common phylogenetic modelling approaches: PGLS - PGLMM - The phylogenetic mixed model (PMM) in a Bayesian framework Please email oliverhoo...@prstatiatics.com with any questions. -- Oliver Hooker PhD. PR stats [[alternative HTML version deleted]] ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
[R-sig-phylo] ONLINE COURSE – An Introduction to Spatial Eco-Phylogenetics and Comparative Methods (SECM01)
ONLINE COURSE – An Introduction to Spatial Eco-Phylogenetics and Comparative Methods (SECM01) We still have a few places available. https://www.prstats.org/course/an-introduction-to-spatial-eco-phylogenetics-and-comparative-methods- secm01/ 19th - 22nd March 2024 Please feel free to share! COURSE OVERVIEW - In this course we introduce phylogenetic analyses in a spatial context. Phylogenetic analyses often imply a high number of species for which phylogenetic information is unavailable, hence we begin by providing an overview on modern techniques to incorporate phylogenetic uncertainty in the analyses (day 1). We then cover the most popular analyses in the spatial phylogenetics discipline (day 2), with particular focus on the canonical analysis of neo- and paleo-endemism (CANAPE). The second part of the course will be devoted to integrating phylogenetic information into models of geographic distribution of species (day 3), followed by an overview of recent advances to improve ecological forecasts using phylogenetic mixed models in a Bayesian framework (day 4). By the end of the course, participants should: - Know how to expand incomplete phylogenies based on taxonomic information and customizing simulation parameters for optimal expansion. - Understand the metrics and concepts used in spatial phylogenetics (i.e. phylogenetic alpha and beta diversity, phylogenetic endemism), interpret them critically, and assess pros and cons of analytical techniques. - Calculate phylogenetic predictors that can be included as covariates in Species Distribution or Niche Models. - Understand and implement the phylogenetic mixed model (PMM) and translate its predictions into a spatial context. *Day 1 – Expansion of molecular trees using taxonomic information and fundamental metrics of phylogenetic structure* - Software for tree expansion exercises; randtip, PhyloMaker - An overview of the fundamental metrics of phylogenetic structure. Null models. *Day 2 – Spatial Phylogenetics* - Canonical analysis of neo- and paleo- endemism. Metrics, rationale, workflow, and implementation. *Day 3 – Phylogenetic Species Distribution Models* - Putting phylogenies in the geography: the imprints of evolutionary relationships in distribution models. - Combining phylogenies with co-occurrence to infer spatial phylogenetic predictors. - Fitting, evaluating and interpreting Phylogenetic-SDMs. *Day 4 – Beyond PGLS – Bayes and more* - Most common phylogenetic modelling approaches: PGLS - PGLMM - The phylogenetic mixed model (PMM) in a Bayesian framework Please email oliverhoo...@prstatiatics.com with any questions. -- Oliver Hooker PhD. PR stats [[alternative HTML version deleted]] ___ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
