[ECOLOG-L] Two statistics courses in Lisbon
Apologies for cross-posting We would like to announce the following two statistics course in Lisbon. Course: Data exploration, regression, GLM & GAM with introduction to R Where: Lisbon, Portugal. When: 18-22 February 2019 Course website: http://highstat.com/index.php/courses-upcoming Course flyer: http://highstat.com/Courses/Flyers/2019/Flyer2019_02Lisbon_RGG.pdf Course: Introduction to GAM and GAMM with R. Where: Lisbon, Portugal. When: 25 February 2019 - 1 March 2019 Course website: http://highstat.com/index.php/courses-upcoming Course flyer: http://highstat.com/Courses/Flyers/2019/Flyer2019_02Lisbon_GAMM_V3.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur Highland Statistics Ltd. 9 St Clair Wynd AB41 6DZ Newburgh, UK Email: highs...@highstat.com URL: www.highstat.com And: NIOZ Royal Netherlands Institute for Sea Research, Department of Coastal Systems, and Utrecht University, P.O. Box 59, 1790 AB Den Burg, Texel, The Netherlands Author of: 1. Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. (2017). 2. Beginner's Guide to Zero-Inflated Models with R (2016). 3. Beginner's Guide to Data Exploration and Visualisation with R (2015). 4. Beginner's Guide to GAMM with R (2014). 5. Beginner's Guide to GLM and GLMM with R (2013). 6. Beginner's Guide to GAM with R (2012). 7. Zero Inflated Models and GLMM with R (2012). 8. A Beginner's Guide to R (2009). 9. Mixed effects models and extensions in ecology with R (2009). 10. Analysing Ecological Data (2007).
[ECOLOG-L] Course: Introduction to GAM and GAMM with R
Apologies for cross-posting We would like to announce the following statistics course in Lisbon. Course: Introduction to GAM and GAMM with R. Where: Lisbon, Portugal. When: 25 February 2019 - 1 March 2019 Course website: http://highstat.com/index.php/courses-upcoming Course flyer: http://highstat.com/Courses/Flyers/2019/Flyer2019_02Lisbon_GAMM_V3.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur Highland Statistics Ltd. 9 St Clair Wynd AB41 6DZ Newburgh, UK Email: highs...@highstat.com URL: www.highstat.com And: NIOZ Royal Netherlands Institute for Sea Research, Department of Coastal Systems, and Utrecht University, P.O. Box 59, 1790 AB Den Burg, Texel, The Netherlands Author of: 1. Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. (2017). 2. Beginner's Guide to Zero-Inflated Models with R (2016). 3. Beginner's Guide to Data Exploration and Visualisation with R (2015). 4. Beginner's Guide to GAMM with R (2014). 5. Beginner's Guide to GLM and GLMM with R (2013). 6. Beginner's Guide to GAM with R (2012). 7. Zero Inflated Models and GLMM with R (2012). 8. A Beginner's Guide to R (2009). 9. Mixed effects models and extensions in ecology with R (2009). 10. Analysing Ecological Data (2007).
[ECOLOG-L] Book: Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. Volume II: GAM and Zero-Inflated Models
We are pleased to announce the following book: Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. Volume II: GAM and Zero-Inflated Models Authors: Zuur and Ieno Book website: www.highstat.com Paperback or EBook can be order (exclusively) from www.highstat.com TOC: http://highstat.com/Books/BGS/SpatialTempVII/TOC_SpatTempII_Online.pdf Summary: In Volume II we apply zero-inflated models and generalised additive (mixed-effects) models to spatial and spatial-temporal data. Data and all R code is available. Outline: In Chapter 18 we will explain how to deal with zero-inflated data. We introduce so-called zero-inflated Poisson (ZIP) models, zero-inflated negative binomial (ZINB) models, zero-altered Poisson (ZAP) models and zero-altered negative binomial (ZINB) models. In Chapter 19 we extend the ZIP, ZINB, ZAP and ZANB models with spatial correlation. Both these chapters use a skate data set from South America. In the appendix accompanying Chapter 19 we also explain how to manipulate maps and create spatial polygons (e.g. for coastlines). In Chapter 20 we revisit a data set with which we have been battling since 2006. It is about begging behaviour of owl nestlings. In Zuur (2009a) we applied linear mixed-effects models on it, and in Zuur et al. (2012a) we analysed it with a zero-inflated GLMM. Thanks to R-INLA we finally cracked this data set and apply a zero-inflated GAMM. In Chapter 21 we analyse sandeel count data. This work came out of a consultancy project that we carried out for Wageningen Marine Research (The Netherlands) in 2017. Although the setup of the experiment is simple (approximately 400 sites sampled once per year, for 4 years), analysing these data and writing this chapter took about 30 days. This should give you an idea about the complexity of the statistical tools (zero-inflated GAMMs + spatial-temporal correlation) that we discuss in this book. Chapter 22 is about zero-inflated bird densities sampled in the Labrador Sea, located between the Labrador Peninsula (Eastern Canada) and Greenland. This chapter is about the analysis of zero-inflated continuous data with spatial correlation. A zero-altered gamma model with spatial correlation is used. In Chapter 23 we analyse coral reef data sampled around an island. A lot of misery comes together in this chapter: smoothers, zero-inflation and spatial dependency that should not cross land as benthic species that live in a coral reef do not walk over land! We will discuss barrier models (Bakka et al. 2018) which ensure that spatial correlation seeps around a barrier (in this case an island). Up to Chapter 23 all data sets analysed were geostatistical data and not areal or lattice data. The reason for this is that most ecological data is geostatistical. In Chapter 24 we analyse aggregated tornado data in 102 counties in Illinois. This is areal data. We will use various CAR models (e.g. iCAR, BYM, BYM2) for zero-inflated spatial and spatial-temporal correlated data. -- Dr. Alain F. Zuur Highland Statistics Ltd. 9 St Clair Wynd AB41 6DZ Newburgh, UK Email: highs...@highstat.com URL: www.highstat.com And: NIOZ Royal Netherlands Institute for Sea Research, Department of Coastal Systems, and Utrecht University, P.O. Box 59, 1790 AB Den Burg, Texel, The Netherlands Author of: 1. Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. (2017). 2. Beginner's Guide to Zero-Inflated Models with R (2016). 3. Beginner's Guide to Data Exploration and Visualisation with R (2015). 4. Beginner's Guide to GAMM with R (2014). 5. Beginner's Guide to GLM and GLMM with R (2013). 6. Beginner's Guide to GAM with R (2012). 7. Zero Inflated Models and GLMM with R (2012). 8. A Beginner's Guide to R (2009). 9. Mixed effects models and extensions in ecology with R (2009). 10. Analysing Ecological Data (2007).
[ECOLOG-L] Mixed modelling courses in Denmark and Holland
Apologies for cross-posting We would like to announce the following two statistics course. Course: Linear Mixed Effects Models and GLMM with R. Frequentist and Bayesian approaches Where: NIOZ, Texel, The Netherlands. When: 1-5 October 2018 Course website: http://highstat.com/index.php/courses-upcoming Course flyer: http://highstat.com/Courses/Flyers/2018/Flyer2018_10NIOZ_GLMM.pdf Course: Linear Mixed Effects Models and GLMM with R. Frequentist and Bayesian approaches Where: National Institute of Aquatic Resources - DTU Aqua, Lyngby, Denmark. When: 22-26 October 2018 Course website: http://highstat.com/index.php/courses-upcoming Course flyer: http://highstat.com/Courses/Flyers/2018/Flyer2018_10DTU_GLMM.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur Highland Statistics Ltd. 9 St Clair Wynd AB41 6DZ Newburgh, UK Email: highs...@highstat.com URL: www.highstat.com And: NIOZ Royal Netherlands Institute for Sea Research, Department of Coastal Systems, and Utrecht University, P.O. Box 59, 1790 AB Den Burg, Texel, The Netherlands Author of: 1. Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. (2017). 2. Beginner's Guide to Zero-Inflated Models with R (2016). 3. Beginner's Guide to Data Exploration and Visualisation with R (2015). 4. Beginner's Guide to GAMM with R (2014). 5. Beginner's Guide to GLM and GLMM with R (2013). 6. Beginner's Guide to GAM with R (2012). 7. Zero Inflated Models and GLMM with R (2012). 8. A Beginner's Guide to R (2009). 9. Mixed effects models and extensions in ecology with R (2009). 10. Analysing Ecological Data (2007).
[ECOLOG-L] Statistics course: Data exploration, regression, GLM & GAM with introduction to R
Apologies for cross-posting We would like to announce the following statistics course in Cadiz, Spain. Course: Data exploration, regression, GLM & GAM with introduction to R Where: University of Cadiz, Spain. When: 3 - 7 September 2018 Course website: http://highstat.com/index.php/courses-upcoming Course flyer: http://highstat.com/Courses/Flyers/2018/Flyer2018_09Cadiz_RGG.pdf Kind regards, Alain Zuur Other open courses in 2018 Linear Mixed Effects Models and GLMM with R. Frequentist and Bayesian approaches. NIOZ, Texel, The Netherlands. 1-5 October 2018 Introduction to regression models with spatial and temporal correlation using R-INLA. Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany. 26-29 November 2018 -- Dr. Alain F. Zuur Highland Statistics Ltd. 9 St Clair Wynd AB41 6DZ Newburgh, UK Email: highs...@highstat.com URL: www.highstat.com And: NIOZ Royal Netherlands Institute for Sea Research, Department of Coastal Systems, and Utrecht University, P.O. Box 59, 1790 AB Den Burg, Texel, The Netherlands Author of: 1. Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. (2017). 2. Beginner's Guide to Zero-Inflated Models with R (2016). 3. Beginner's Guide to Data Exploration and Visualisation with R (2015). 4. Beginner's Guide to GAMM with R (2014). 5. Beginner's Guide to GLM and GLMM with R (2013). 6. Beginner's Guide to GAM with R (2012). 7. Zero Inflated Models and GLMM with R (2012). 8. A Beginner's Guide to R (2009). 9. Mixed effects models and extensions in ecology with R (2009). 10. Analysing Ecological Data (2007).
[ECOLOG-L] Stats course in St John's, Canada
Apologies for cross-posting We would like to announce the following statistics course St John's, Canada. Course: Data exploration, regression, GLM & GAM with introduction to R Where: Northwest Atlantic Fisheries Centre, St John’s, Canada. When: 20-24 August 2018 Course website: http://highstat.com/index.php/courses-upcoming Course flyer: http://highstat.com/Courses/Flyers/2018/Flyer2018_08StJohns_RGG.pdf Kind regards, Alain Zuur Other open courses in 2018 Data exploration, regression, GLM & GAM with introduction to R. University of Cádiz, Cádiz, Spain. 3-7 September 2018 Linear Mixed Effects Models and GLMM with R. Frequentist and Bayesian approaches. NIOZ, Texel, The Netherlands. 1-5 October 2018 Introduction to regression models with spatial and temporal correlation using R-INLA. Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany. 26-29 November 2018 -- Dr. Alain F. Zuur Author of: 1. Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. (2017). 2. Beginner's Guide to Zero-Inflated Models with R (2016). 3. Beginner's Guide to Data Exploration and Visualisation with R (2015). 4. Beginner's Guide to GAMM with R (2014). 5. Beginner's Guide to GLM and GLMM with R (2013). 6. Beginner's Guide to GAM with R (2012). 7. Zero Inflated Models and GLMM with R (2012). 8. A Beginner's Guide to R (2009). 9. Mixed effects models and extensions in ecology with R (2009). 10. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Stats course in Cádiz, Spain
Apologies for cross-posting We would like to announce the following statistics course at the University of Cádiz, Cádiz, Spain Course: Data exploration, regression, GLM & GAM with introduction to R Where: University of Cádiz, Cádiz. When: 3-7 September 2018 Course website: http://highstat.com/index.php/courses-upcoming Course flyer: http://highstat.com/Courses/Flyers/2018/Flyer2018_09Cadiz_RGG.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur Highland Statistics Ltd. 9 St Clair Wynd AB41 6DZ Newburgh, UK Email: highs...@highstat.com URL: www.highstat.com And: NIOZ Royal Netherlands Institute for Sea Research, Department of Coastal Systems, and Utrecht University, P.O. Box 59, 1790 AB Den Burg, Texel, The Netherlands Author of: 1. Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. (2017). 2. Beginner's Guide to Zero-Inflated Models with R (2016). 3. Beginner's Guide to Data Exploration and Visualisation with R (2015). 4. Beginner's Guide to GAMM with R (2014). 5. Beginner's Guide to GLM and GLMM with R (2013). 6. Beginner's Guide to GAM with R (2012). 7. Zero Inflated Models and GLMM with R (2012). 8. A Beginner's Guide to R (2009). 9. Mixed effects models and extensions in ecology with R (2009). 10. Analysing Ecological Data (2007).
[ECOLOG-L] Stats course in Alghero, Sardinia, Italy
Apologies for cross-posting We would like to announce the following statistics course in Alghero, Sardinia, Italy. Course: Data exploration, regression, GLM & GAM with introduction to R Where: University of Sassari, Sardinia, Italy. When: 7-11 May 2018 Course website: http://highstat.com/index.php/courses-upcoming Course flyer: http://highstat.com/Courses/Flyers/2018/Flyer2018_05Sardinia_RGG.pdf Kind regards, Alain Zuur Other open courses in 2018 Introduction to regression models with spatial and temporal correlation using R-INLA. Universiteit Antwerpen, Antwerpen, Belgium. 9-13 April 2018 Data exploration, regression, GLM & GAM with introduction to R. University of Cádiz, Cádiz, Spain. 3-7 September 2018 Linear Mixed Effects Models and GLMM with R. Frequentist and Bayesian approaches. NIOZ, Texel, The Netherlands. 1-5 October 2018 Introduction to Zero Inflated Models with R. Frequentist approaches. Trondheim, Norway. 22-26 October 2018 Introduction to regression models with spatial and temporal correlation using R-INLA. Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany. 26-29 November 2018 -- Dr. Alain F. Zuur Author of: 1. Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. (2017). 2. Beginner's Guide to Zero-Inflated Models with R (2016). 3. Beginner's Guide to Data Exploration and Visualisation with R (2015). 4. Beginner's Guide to GAMM with R (2014). 5. Beginner's Guide to GLM and GLMM with R (2013). 6. Beginner's Guide to GAM with R (2012). 7. Zero Inflated Models and GLMM with R (2012). 8. A Beginner's Guide to R (2009). 9. Mixed effects models and extensions in ecology with R (2009). 10. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Course in Lisbon: Introduction to Linear Mixed Effects Models and GLMM with R
We would like to announce the following statistics course: Course: Introduction to Linear Mixed Effects Models and GLMM with R Where: Lisbon, Portugal When: 19-23 February 2018 Course website: http://highstat.com/index.php/courses Course flyer: http://highstat.com/Courses/Flyers/2018/Flyer2018_02LisbonV2.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur Highland Statistics Ltd. 9 St Clair Wynd AB41 6DZ Newburgh, UK Email: highs...@highstat.com URL: www.highstat.com And: NIOZ Royal Netherlands Institute for Sea Research, Department of Coastal Systems, and Utrecht University, P.O. Box 59, 1790 AB Den Burg, Texel, The Netherlands Author of: 1. Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. (2017). 2. Beginner's Guide to Zero-Inflated Models with R (2016). 3. Beginner's Guide to Data Exploration and Visualisation with R (2015). 4. Beginner's Guide to GAMM with R (2014). 5. Beginner's Guide to GLM and GLMM with R (2013). 6. Beginner's Guide to GAM with R (2012). 7. Zero Inflated Models and GLMM with R (2012). 8. A Beginner's Guide to R (2009). 9. Mixed effects models and extensions in ecology with R (2009). 10. Analysing Ecological Data (2007).
[ECOLOG-L] Course: Introduction to regression models with spatial and temporal correlation using R-INLA
We would like to announce the following statistics course: Course: Introduction to Regression Models with Spatial and Temporal Correlation using R-INLA Where: Banff, Cananda (easily accessible from Calgary airport) When: 4-8 December 2017 Course website: http://highstat.com/index.php/courses Course flyer: http://highstat.com/Courses/Flyers/2017/Flyer2017_12Banff_SpatTemp.pdf Kind regards, Alain Zuur Other courses in Canada: Halifax, January 2018: Introduction to Linear Mixed Effects Models and GLMM with R; Frequentist and Bayesian approaches Edmonton, January 2018: Introduction to Linear Mixed Effects Models and GLMM with R; Frequentist and Bayesian approaches -- Dr. Alain F. Zuur Highland Statistics Ltd. 9 St Clair Wynd AB41 6DZ Newburgh, UK Email: highs...@highstat.com URL: www.highstat.com And: NIOZ Royal Netherlands Institute for Sea Research, Department of Coastal Systems, and Utrecht University, P.O. Box 59, 1790 AB Den Burg, Texel, The Netherlands Author of: 1. Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. (2017). 2. Beginner's Guide to Zero-Inflated Models with R (2016). 3. Beginner's Guide to Data Exploration and Visualisation with R (2015). 4. Beginner's Guide to GAMM with R (2014). 5. Beginner's Guide to GLM and GLMM with R (2013). 6. Beginner's Guide to GAM with R (2012). 7. Zero Inflated Models and GLMM with R (2012). 8. A Beginner's Guide to R (2009). 9. Mixed effects models and extensions in ecology with R (2009). 10. Analysing Ecological Data (2007).
[ECOLOG-L] Course: Introduction to regression models with spatial and temporal correlation using R-INLA
We would like to announce the following statistics course: Course: Introduction to Regression Models with Spatial and Temporal Correlation using R-INLA Where: Southampton, UK When: 23-27 October 2017 Course website: http://highstat.com/index.php/courses Course flyer: http://highstat.com/Courses/Flyers/2017/Flyer2017_10Southampton_SpatTemp.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur Highland Statistics Ltd. 9 St Clair Wynd AB41 6DZ Newburgh, UK Email: highs...@highstat.com URL: www.highstat.com And: NIOZ Royal Netherlands Institute for Sea Research, Department of Coastal Systems, and Utrecht University, P.O. Box 59, 1790 AB Den Burg, Texel, The Netherlands Author of: 1. Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. (2017). 2. Beginner's Guide to Zero-Inflated Models with R (2016). 3. Beginner's Guide to Data Exploration and Visualisation with R (2015). 4. Beginner's Guide to GAMM with R (2014). 5. Beginner's Guide to GLM and GLMM with R (2013). 6. Beginner's Guide to GAM with R (2012). 7. Zero Inflated Models and GLMM with R (2012). 8. A Beginner's Guide to R (2009). 9. Mixed effects models and extensions in ecology with R (2009). 10. Analysing Ecological Data (2007).
[ECOLOG-L] Edmonton course: Data exploration, regression, GLM & GAM with intro to R
Apologies for cross-posting We would like to announce the following statistics course in Edmonton, Canada. Course: Data exploration, regression, GLM & GAM with introduction to R Where: NAIT main campus, Edmonton, Alberta, Canada When: 8-22 September 2017 Course website: http://www.highstat.com/statscourse.htm Course flyer: http://highstat.com/Courses/Flyers/2017/Flyer2017_10Edmonton_RGG.pdf Kind regards, Alain Zuur Other open courses in 2017 & 2018: Linear Mixed Effects Models and GLMM with R. Frequentist and Bayesian approaches. 9-13 October 2017. Trondheim, Norway. Introduction to Regression Models with Spatial and Temporal Correlation. 23-27 October 2017. Southampton, UK Introduction to Regression Models with Spatial and Temporal Correlation. 4-8 December 2017. Banff, Canada. Linear Mixed Effects Models and GLMM with R. Frequentist and Bayesian approaches. 8-12 January 2018. Halifax, Canada. Linear Mixed Effects Models and GLMM with R. Frequentist and Bayesian approaches. 22-26 January 2018. Edmonton, Canada. Data exploration, regression, GLM & GAM with introduction to R. 12-16 February 2018. Madeira, Portugal. Linear Mixed Effects Models and GLMM with R. Frequentist approaches. 19-23 February 2018. Lisbon, Portugal. Data exploration, regression, GLM & GAM with introduction to R. 12-16 February 2018. Sardinia, Italy. -- Dr. Alain F. Zuur Author of: 1. Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. (2017). 2. Beginner's Guide to Zero-Inflated Models with R (2016). 3. Beginner's Guide to Data Exploration and Visualisation with R (2015). 4. Beginner's Guide to GAMM with R (2014). 5. Beginner's Guide to GLM and GLMM with R (2013). 6. Beginner's Guide to GAM with R (2012). 7. Zero Inflated Models and GLMM with R (2012). 8. A Beginner's Guide to R (2009). 9. Mixed effects models and extensions in ecology with R (2009). 10. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] New book: Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA
We are pleased to announce the following book: Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA Authors: Zuur, Ieno, Saveliev Book website: www.highstat.com Paperback or EBook can be order (exclusively) from www.highstat.com TOC: http://highstat.com/Books/BGS/SpatialTemp/Zuuretal2017_TOCOnline.pdf Summary: We explain how to apply linear regression models, generalised linear models (GLM), and generalised linear mixed-effects models (GLMM) to spatial, temporal, and spatial-temporal data. Outline In Chapter 2 we discuss an important topic: dependency. Ignoring this means that we have pseudoreplication. We present a series of examples and discuss how dependency can manifest itself. We briefly discuss frequentist tools that are available for the analysis of temporal and spatial data in Chapters 3 and 4, and we will conclude that their application is rather limited, especially if non-Gaussian distributions are required. We will therefore consider alternative models, but these require Bayesian techniques. In Chapter 5 we discuss linear mixed-effects models to analyse hierarchical (i.e. clustered or nested) data, and in Chapter 6 we outline how we add spatial and spatial-temporal dependency to regression models via spatial (and/or temporal) correlated random effects. In Chapter 7 we introduce Bayesian analysis, Markov chain Monte Carlo techniques (MCMC), and Integrated Nested Laplace Approximation (INLA). INLA allows us to apply models to spatial, temporal, or spatial-temporal data. In Chapters 8 through 16 we present a series of INLA examples. We start by applying linear regression and mixed-effects models in INLA (Chapters 8 and 9), followed by GLM examples in Chapter 10. In Chapters 11 through 13 we show how to apply GLM models on spatial data. In Chapter 14 we discuss time-series techniques and how to implement them in INLA. Finally, in Chapters 15 and 16 we analyse spatial-temporal models in INLA. -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com -- Dr. Alain F. Zuur Author of: 1. Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. (2017). 2. Beginner's Guide to Zero-Inflated Models with R (2016). 3. Beginner's Guide to Data Exploration and Visualisation with R (2015). 4. Beginner's Guide to GAMM with R (2014). 5. Beginner's Guide to GLM and GLMM with R (2013). 6. Beginner's Guide to GAM with R (2012). 7. Zero Inflated Models and GLMM with R (2012). 8. A Beginner's Guide to R (2009). 9. Mixed effects models and extensions in ecology with R (2009). 10. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Crete stats course
There are a few remaining seats on the following course: Course: Data exploration, regression, GLM & GAM with R Where: HCMR, Crete, Greece When: 24-28 April 2017 Course website: http://www.highstat.com/statscourse.htm Course flyer: http://highstat.com/Courses/Flyers/Flyer2017_04Crete_RGG.pdf Kind regards, Alain Zuur Other open courses in 2017: Introduction to Regression Models with Spatial and Temporal Correlation. 8-12 May 2017. Genoa, Italy. Linear Mixed Effects Models and GLMM with R. Frequentist and Bayesian approaches. 9-13 October 2017. Trondheim, Norway. Introduction to Regression Models with Spatial and Temporal Correlation. 23-27 October 2017. Southampton, UK Data exploration, regression, GLM & GAM with introduction to R. 18-22 September 2017. Edmonton, Canada. Introduction to Regression Models with Spatial and Temporal Correlation. 4-8 December 2017. Banff, Canada. -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Stats course on Crete
We would like to announce the following statistics course: Course: Data exploration, regression, GLM & GAM with R Where: HCMR, Crete, Greece When: 24-28 April 2017 Course website: http://www.highstat.com/statscourse.htm Course flyer: http://highstat.com/Courses/Flyers/Flyer2017_04Crete_RGG.pdf Kind regards, Alain Zuur Other open courses in 2017: Introduction to Regression Models with Spatial and Temporal Correlation. 8-12 May 2017. Genoa, Italy. Linear Mixed Effects Models and GLMM with R. Frequentist and Bayesian approaches. 9-13 October 2017. Trondheim, Norway. Introduction to Regression Models with Spatial and Temporal Correlation. 23-27 October 2017. Southampton, UK Data exploration, regression, GLM & GAM with introduction to R. 18-22 September 2017. Edmonton, Canada. Introduction to Regression Models with Spatial and Temporal Correlation. 4-8 December 2017. Banff, Canada. -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Stats course in Montreal
We would like to announce the following statistics course: Course: Data exploration, regression, GLM & GAM with R Where: Montreal, Canada When: 9-13 January 2017 Course website: http://www.highstat.com/statscourse.htm Course flyer: http://highstat.com/Courses/Flyers/Flyer2017_01Montreal_RGG.pdf Kind regards, Alain Zuur Other open courses in 2017: Data exploration, regression, GLM & GAM with introduction to R. 13-17 February 2017. Lisbon. Introduction to Regression Models with Spatial and Temporal Correlation. 20-24 February 2017. Lisbon. Introduction to Regression Models with Spatial and Temporal Correlation. 8-12 May 2017. Genoa. Linear Mixed Effects Models and GLMM with R. Frequentist and Bayesian approaches. 9-13 October 2017. Trondheim. Introduction to Regression Models with Spatial and Temporal Correlation. 23-27 October 2017. Southampton -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Course: Data exploration, regression, GLM & GAM with introduction to R
We would like to announce the following statistics course: Course: Data exploration, regression, GLM & GAM with introduction to R Where: Lisbon, Portugal When: 13-17 February 2017 Course website: http://www.highstat.com/statscourse.htm Course flyer: http://highstat.com/Courses/Flyers/Flyer2017_02Lisbon_RGG.pdf Kind regards, Alain Zuur Other open courses in 2017: 9-13 January 2017: Data exploration, regression, GLM & GAM 20-24 February 2017: Introduction to Regression Models with Spatial and Temporal Correlatio 9-13 October 2017: Linear Mixed Effects Models and GLMM with R. Frequentist and Bayesian approaches -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Course in Alice Springs: Data exploration, regression, GLM & GAM
We would like to announce the following statistics course: Course: Data exploration, regression, GLM & GAM with introduction to R Where: Charles Darwin University, Alice Springs, Australia When: 1-5 August 2016 Course website: http://www.highstat.com/statscourse.htm Course flyer: http://highstat.com/Courses/Flyers/Flyer2016_08AliceSprings_RGG.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email:highs...@highstat.com URL:www.highstat.com
[ECOLOG-L] Course: Introduction to Zero Inflated Models
There are places available on the following course: Course: Introduction to Zero Inflated Models (Bayesian and frequentist approaches) When: 13-17 June 2016 Where: Australian Institute of Marine Science, Perth, Australia Course website: http://highstat.com/statscourse.htm Course flyer: http://highstat.com/Courses/Flyers/Flyer2016_06Perth_ZI_V2.pdf Keywords: Zero inflated count data. Zero inflated continuous data. Dependency. ZIP and ZAP models. Zero inflated GLMMs with random effects. Bayesian statistics, MCMC and JAGS. lme4, glmmADMB, JAGS. Overdispersion and solutions. Bayesian model selection. Description: Suppose you want to study hippos and the effect of habitat variables on their distribution. When sampling, you may count zero hippos at many sites, potentially resulting in overdispersed Poisson GLMs. In such cases zero inflated models can be applied. During the course several case studies are presented, in which the statistical theory for zero inflated models is integrated with applied analyses in a clear and understandable manner. Zero inflated models consist of two integrated GLMs and therefore we will start with a revision of GLM. Zero inflated GLMMs for nested data (repeated measurements, short time series, clustered data, etc.) are discussed in the second part of the course. We will focus on zero inflated count data, and zero inflated continuous data. -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Adelaide course: Introduction to mixed modelling
We would like to announce the following statistics course: Course: Introduction to Linear Mixed Effects Models and GLMM with R. Frequentist and Bayesian approaches. Where: University of Adelaide, Adelaide, Australia When: 20-24 June 2016 Course website: http://www.highstat.com/statscourse.htm Course flyer: http://highstat.com/Courses/Flyers/Flyer2016_06Adelaide_GLMM_V2.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] New book: Beginner's Guide to Zero-Inflated Models with R
We are pleased to announce the following book: Title: Beginner's Guide to Zero-Inflated Models with R Authors: Zuur, Ieno Book website: http://www.highstat.com/BGZIM.htm Paperback or EBook can be order (exclusively) from: http://www.highstat.com/bookorder.htm TOC: http://www.highstat.com/BGS/ZIM/pdfs/TOCOnly.pdf Keywords: 430 pages. Zero inflated count data. Zero inflated continuous data. Zero inflated proportional data. Frequentist and Bayesian approaches. Random effects. Introduction to Bayesian statistics and MCMC. JAGS. Bayesian model selection. Multivariate GLMM. R code and data sets available. - Outline The minimum prerequisite for Beginner's Guide to Zero-Inflated Models with R is knowledge of multiple linear regression, and in Chapter 2 we start with brief explanations of the Poisson, negative binomial, Bernoulli, binomial and gamma distributions. The motivation for doing this is that zero-inflated models consist of two distributions ‘glued’ together, one of which is the Bernoulli distribution. We begin Chapter 3 with a brief revision of the Poisson generalised linear model (GLM) and the Bernoulli GLM, followed by a gentle introduction to zero-inflated Poisson (ZIP) models. Chapters 4 and 5 contain detailed case studies using count data of orange-crowned warblers and sharks. Just like all other chapters, these case studies are based on real datasets used in scientific papers. In Chapter 6 we use zero-altered Poisson (ZAP) models to deal with the excessive number of zeros in count data. In Chapter 7 we analyse continuous data with a large number of zeros. Biomass of Chinese tallow trees is analysed with zero-altered gamma (ZAG) models. In Chapter 8, which begins the second part of the book, we explain how to deal with dependency. Mixed models are introduced, using beaver and monkey datasets. In Chapter 9 we encounter a rather complicated dataset in terms of dependency. Reproductive indices are sampled from plants. But the seeds come from the same source and are planted in the same bed in the same garden. We apply models that take care of the excessive number of zeros in count data, crossed random effects and nested random effects. Up to this point we have done everything in a frequentist setting, but at this stage of the book you will see that we are reaching the limit of what we can achieve with the frequentist software. For this reason we switch to Bayesian techniques in the third part of the book. Chapter 10 contains an excellent beginner’s guide to Bayesian statistics and Markov Chain Monte Carlo (MCMC) techniques. The chapter also contains exercises and a video solution file for one of the exercises. This means that you can see our screen and listen to our voices (just in case you have trouble falling asleep at night). A large number of students reviewed this chapter and we incorporated their suggestions for improvement, so Chapter 10 should be very easy to understand. In Chapter 11 we show how to implement the Poisson, negative binomial and ZIP models in MCMC. We do the same for mixed models in Chapter 12. In Chapter 13 we discuss a method, called the ‘zero trick’, that allows you to fit nearly every distribution in JAGS. A major stumbling block in Bayesian analysis is model selection. Chapter 14 provides an easy-to-understand overview of various Bayesian model selection tools. Chapter 15 contains an example of Bayesian model selection using butterfly data. In Chapter 16 we discuss methods for the analysis of proportional data (seagrass coverage time series) with a large number of zeros. We use a zero-altered beta model with nested random effects. Finally, in Chapters 17 and 18 we discuss various topics, including multivariate GLMMs and generalised Poisson models (these can be used for underdispersion). We also discuss zero-inflated binomial models. - -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Intro GAM and GAMM course: Singapore
There are 4 remaining seats on the following statistics course: Course: Introduction to GAM and GAMM with R When: 30 May-3 June 2016 Where: Tropical Marine Science Institute, National University of Singapore, Singapore Course website: http://highstat.com/statscourse.htm Course flyer: http://highstat.com/Courses/Flyers/Flyer2016_05Singapore.pdf -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] 8 statistics courses in Australia
We would like to announce a series of 8 statistics courses in Australia in June/July/August 2016. For details and registration: http://highstat.com/statscourse.htm Kind regards, Alain Zuur Course 1: Introduction to Linear Mixed Effects Models and GLMM with R. Frequentist and Bayesian approaches. Murdoch University, Perth, Australia 6-10 June 2016 Course 2: Introduction to Zero Inflated Models Australian Institute of Marine Science, Perth, Australia 13-17 June 2016 Course 3: Introduction to Linear Mixed Effects Models and GLMM with R. Frequentist and Bayesian approaches University of Adelaide, Adelaide, Australia 20-24 June 2016 Course 4: Introduction to Linear Mixed Effects Models and GLMM with R. Frequentist and Bayesian approaches Deakin University, Melbourne, Australia 4-8 July 2016 Course 5: Introduction to GAM and GAMM using Bayesian and frequentist tools CSIRO, Canberra, Australia 11-15 July 2016 Course 6: Introduction to Linear Mixed Effects Models and GLMM with R. Frequentist and Bayesian approaches UNSW, Sydney, Australia 18-22 July 2016 Course 7: Introduction to Zero Inflated Models UNSW, Sydney, Australia 25-29 July 2016 Course 8: Data exploration, regression, GLM & GAM with introduction to R Charles Darwin University, Alice Springs, Australia 1-5 August 2016 -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Genoa course: Introduction to Zero Inflated Models
We would like to announce the following statistics course: Course: Introduction to Zero Inflated Models Where: Italian National Antarctic Museum, Genoa, Italy When: 9-13 May 2016 Course website: http://www.highstat.com/statscourse.htm Course flyer: http://highstat.com/Courses/Flyers/Flyer2016_5Genoa.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Introduction to GAM and GAMM with R course
There are various remaining seats available on the following course Course: Introduction to GAM and GAMM Where: University of Konstanz, Konstanz, Germany When: 7-11 March 2016 Course website: http://www.highstat.com/statscourse.htm Course flyer: http://highstat.com/Courses/Flyer2016_03Konstanz.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Course: Introduction to GAM and GAMM
We would like to announce the following statistics course: Course: Introduction to GAM and GAMM Where: University of Konstanz, Konstanz, Germany When: 7-11 March 2016 Course website: http://www.highstat.com/statscourse.htm Course flyer: http://highstat.com/Courses/Flyer2016_03Konstanz.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Mixed modelling course, Lisbon, Portugal
We would like to announce the following statistics course: Course: Introduction to Linear mixed effects models, GLMM and MCMC with R Where: Lisbon, Portugal When: 15-19 February 2016 Course website: http://www.highstat.com/statscourse.htm Course flyer: http://highstat.com/Courses/Flyers/Flyer2016_02Lisbon_GLMM.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Stats course: Lisbon, Portugal
Apologies for cross-posting We would like to announce the following statistics course: Course: Data exploration, regression, GLM & GAM with introduction to R Where: Lisbon, Portugal When: 8-12 February 2016 Course website: http://www.highstat.com/statscourse.htm Flyer: http://highstat.com/Courses/Flyers/Flyer2016_02Lisbon_RGG.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Course: Introduction to zero inflated models
Apologies for cross-posting We would like to announce the following statistics course: Course: Introduction to zero inflated models Where: Elche (close to Alicante), Spain When: 2-6 November 2015 Course website: http://www.highstat.com/statscourse.htm Flyer: http://www.highstat.com/Courses/Flyers/Flyer2015_11Elche.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Stats courses in Queensland, Australia
Apologies for cross-posting There are various remaining seats on the following two statistics courses: Course 1: Introduction to Generalized Linear Models with R. -Bayesian and frequentist approaches - Dates: 11 - 14 August, 2015 Location: Hotel Grand Chancellor, Coral Coast Drive, Palm Cove. Australia Course 2: Introduction to Zero Inflated Models with R. - Frequentist and Bayesian approaches - Dates: 17 - 21 August, 2015 Location: Hotel Grand Chancellor, Coral Coast Drive, Palm Cove. Australia Course website: http://highstat.com/statscourse.htm Course flyers: http://highstat.com/Courses/Flyers/Flyer2015_08PalmCoveI.pdf http://highstat.com/Courses/Flyers/Flyer2015_08PalmCoveII.pdf Both courses are pre-required knowledge for our 'Introduction to GLMs with spatial and temporal correlation'. Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Stats course Phillip Island Nature Parks, Australia
Apologies for cross-posting We would like to announce the following statistics course: Course: Data exploration, regression, GLM GAM with introduction to R When: 14 - 18 September 2015 Where: Phillip Island Nature Parks, Australia Course flyer: http://www.highstat.com/Courses/Flyers/Flyer2015_09PhillipIsland_regression_GLM_GAM.pdf URL: http://www.highstat.com/statscourse.htm Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Course: Introduction to zero inflated models with R
Apologies for cross-posting We would like to announce the following statistics course in Palm Cove, Australia. Course: Introduction to zero inflated models with R Location: Palm Cove, Australia Date: 17-21 August 2015 Price: 550 GBP Course website: http://www.highstat.com/statscourse.htm Course flyer: http://www.highstat.com/Courses/Flyers/Flyer2015_08PalmCoveII.pdf Keywords: Zero inflated GLM (ZIP, ZINB, ZAP, ZANB). Zero inflated GLMMs with random effects. Bayesian statistics, MCMC and JAGS. lme4, glmmADMB, JAGS. Overdispersion and solutions. Poisson, negative binomial, gamma, lognormal and binomial distributions. Count data. Continuous data. Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] GLM course in Palm Cove
Apologies for cross-posting We would like to announce the following statistics course in Palm Cove, Australia. Course1: GLM with R (Bayesian and frequentist) Location: Palm Cove, Australia Date: 11-14 August 2015 Price: 475 GBP Course website: http://www.highstat.com/statscourse.htm Course flyer: http://www.highstat.com/Courses/Flyers/Flyer2015_08PalmCoveI.pdf Keywords: Bayesian statistics, MCMC and JAGS. Overdispersion and solutions. Poisson, negative binomial, Bernoulli, binomial, beta, gamma, inverse Gaussian, lognormal, and binomial distributions. GLMs for count data and continuous data. Underdispersion. Truncated data. Power analysis. Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Statistics course in Palermo
Apologies for cross-posting There are 4 remaining seats on the following course: Course: Data exploration, regression, GLM GAM with introduction to R When: 4-8 May 2015 Where: University of Palermo, Italy Course flyer: http://www.highstat.com/Courses/Flyer2015_05Palermo.pdf URL: http://www.highstat.com/statscourse.htm Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Statistics course: Darwin, Australia
Apologies for cross-posting There are 8 remaining seats on the following course: Course: Data exploration, regression, GLM GAM with introduction to R When: 3-7 August 2015 Where: Darwin, Australia Course flyer: http://www.highstat.com/Courses/Flyers/Flyer2015_08Darwin_regression_GLM_GAM.pdf URL: http://www.highstat.com/statscourse.htm Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] 2 statistics courses in Perth
Apologies for cross-posting We would like to announce the following 2 statistics courses in Perth, Australia. Course1: Data exploration, regression, GLM GAM with introduction to R Location: UWA, Perth, Australia Date: 20-24 July 2015 Price: 500 GBP Course website: http://www.highstat.com/statscourse.htm Course flyer: http://www.highstat.com/Courses/Flyers/Flyer2015_07Perth_regression_GLM_GAM.pdf Course2: Introduction to Linear mixed effects models, GLMM and MCMC with R Location: UWA, Perth, Australia Date: 27-31 July 2015 Price: 500 GBP Course website: http://www.highstat.com/statscourse.htm Course flyer: http://www.highstat.com/Courses/Flyers/Flyer2015_07Perth_GLMM.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Bayesian course + GLMM course
Apologies for cross-posting There are a few remaining seats on the following two (combined) courses: Course 1 (3 days): Introduction to Bayesian statistics and MCMC When: 8-10 April 2015 Where: University of Southampton, Southampton, UK Course flyer: http://www.highstat.com/Courses/Flyer2015_04Southampton_Course2.pdf URL: http://www.highstat.com/statscourse.htm Course 2 (5 days): Introduction to Linear Mixed Effects Models and GLMM with R When: 13-17 April 2015 Where: University of Southampton, Southampton, UK Course flyer: http://www.highstat.com/Courses/Flyer2015_04Southampton_Course3.pdf URL: http://www.highstat.com/statscourse.htm Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Book: Beginner's Guide to Data Exploration and Visualisation with R.
We are please to announce the following book: Title: Beginner's Guide to Data Exploration and Visualisation with R. Authors: Ieno Zuur Book website: http://www.highstat.com/BGDEV.htm Paperback or EBook can be order (exclusively) from: http://www.highstat.com/bookorder.htm TOC: http://www.highstat.com/BGS/DV/TOC_Online.pdf Price: 29 GBP Outline: In 2010 we published a paper in the journal Methods in Ecology and Evolution entitled ‘A protocol for data exploration to avoid common statistical problems’. Little did we know at the time that this paper would become one of the journal’s all-time top papers, both top downloaded and top cited papers, with 22,472 downloads between 2010 and 2014. Based on this success we decided to extend the material in the paper into a book. It is part of our 'Beginner’s Guide to ...' book series. We tried to write this book in such a way that the statistical knowledge level is as low as possible. A knowledge of linear regression is all that you need. Keywords: Outliers, normality, homogeneity, collinearity, relationships, confounding. Case studies Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Stats course: GAM and GAMM in Genoa, Italy
Apologies for cross-posting We would like to announce the following statistics course: Course: Introduction to GAM and GAMM with R Location: University of Genoa, Italy Date: 11 - 15 May 2015. Price: 425 GBP Course website: http://www.highstat.com/statscourse.htm Course flyer: http://www.highstat.com/Courses/Flyer2015_05Genua.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Statistics courses in Australia
Hello, In July/August/September 2015 we will be running again a series of statistics courses in Australia. Confirmed courses: 1. Darwin: Data exploration, regression, GLM and GAM with introduction to R 2. Sydney: Introduction to mixed modelling, GLMM and MCMC with R 3. Canberra: Introduction to mixed modelling, GLMM and MCMC with R 4. Phillip Island Nature Parks: Data exploration and visualisation with R (with introduction to R) Dates prices will be decided later. If you would like to participate in one of these courses, or organise any of the following 9 courses at your institute, please contact us for further information. 1. Introduction to R 2. Data exploration and visualisation with R (with introduction to R) 3. Multivariate analysis with R 4. Data exploration, regression, GLM and GAM with introduction to R 5. Introduction mixed modelling and GLMM (either frequentist or Bayesian+frequentist) 6. Introduction to GAM and GAMM (either frequentist or Bayesian+frequentist) 7. Introduction to Bayesian analysis and MCMC 8. Introduction to zero inflated GLM and GLMM with R. 9. Workshop using own data For flyers/prices/info of similar courses at other places see: http://www.highstat.com/statscourse.htm Kind regards, Alain -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Two stats courses in Portugal
Apologies for cross-posting There are 5 remaining seats available on each of the following two courses: Data exploration, regression, GLM GAM with introduction to R. 2 - 6 February 2015. Coimbra, Portugal Introduction to Linear mixed effects models, GLMM and MCMC with R 9-13 February 2015. Lisbon, Portugal For registration, course flyers and further information: http://www.highstat.com/statscourse.htm Kind regards, Alain -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] 8 statistics course; January - June 2015
Apologies for cross-posting We would like to announce the following 8 statistics course covering topics such as R, data exploration (using lattice and ggplot2), multiple linear regression, GLM, GAM, mixed modelling, GLMM, GAMM, Bayesian analysis and MCMC. For further information, registration, prices, course flyers, etc., see: http://www.highstat.com/statscourse.htm List of open courses in January - June 2015: Data exploration, regression, GLM GAM with introduction to R. 2 - 6 February 2015. Coimbra, Portugal Introduction to Linear mixed effects models, GLMM and MCMC with R 9-13 February 2015. Lisbon Data exploration, regression, GLM GAM with introduction to R. 23-27 March 2015. University of Southampton, Southampton, UK Introduction to Bayesian statistics and MCMC 8-10 April 2015. University of Southampton, Southampton, UK Introduction to Linear Mixed Effects Models and GLMM with R 3-17 April 2015. University of Southampton, Southampton, UK Data exploration, regression, GLM GAM with introduction to R. 4-8 May 2015. University of Palermo, Italy Introduction to GAM and GAMM with R 1-15 May 2015. University of Genua, Italy Data exploration, regression, GLM GAM with introduction to R 6-10 July 2015. Leamington, Ontario, Canada -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Course Halifax: Introduction to Linear mixed effects models, GLMM and MCMC with R
Apologies for cross-posting We would like to announce the following statistics course: Course: Introduction to Linear mixed effects models, GLMM and MCMC with R Location: Halifax, Canada Date: 19 - 23 January 2015 Remaining seats: 10 Course website: http://www.highstat.com/statscourse.htm Course flyer: http://www.highstat.com/Courses/Flyer2015_01Halifax.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Course Lisbon: Introduction to Linear mixed effects models, GLMM and MCMC with R
Apologies for cross-posting We would like to announce the following statistics course: Course: Introduction to Linear mixed effects models, GLMM and MCMC with R Location: Lisbon, Portugal Date: 9 - 13 February, 2015 Course website: http://www.highstat.com/statscourse.htm Course flyer: http://www.highstat.com/Courses/Flyer2015_2Lisbon_GLMM.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Four available places on GLMM course in Banff
There are four remaining places on the following course: Course: Introduction to MCMC, Linear mixed effects models and GLMM with R When: 22-26 September, 2014 Where: Parks Canada, Banff, Canada Flyer: http://www.highstat.com/Courses/Flyer2014_09Banff.pdf Course website: http://www.highstat.com/statscourse.htm Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] 2 remaining seats on stats course at Murdoch University
There are 2 remaining seats on the following course: Course: Data exploration, regression, GLM GAM with introduction to R. Location: Murdoch University. Murdoch. Australia When: 28 July - 1 August, 2014 Course flyer: http://www.highstat.com/Courses/Flyer2014_08Murdoch.pdf Registration: http://www.highstat.com/CourseReg1.htm Course website: http://www.highstat.com/statscourse.htm Kind regards, Alain -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] New book: Beginner's Guide to GAMM with R
We are please to announce the following book: Title: Beginner's Guide to GAMM with R. Authors: Zuur, Saveliev, Ieno Book website: http://www.highstat.com/BGGAMM.htm Paperback, hardcover or EBook can be order (exclusively) from: http://www.highstat.com/bookorder.htm Table of Contents: http://www.highstat.com/BGS/GAMM/TOC_7_12.pdf Keywords: In this book we take the reader on an exciting voyage into the world of generalised additive mixed effects models (GAMM). Keywords are GAM, mgcv, gamm4, random effects, Poisson and negative binomial GAMM, gamma GAMM, binomial GAMM, negative binomial-P models, GAMMs with generalised extreme value distributions, overdispersion, underdispersion, two-dimensional smoothers, zero-inflated GAMMs, spatial correlation, INLA, Markov chain Monte Carlo techniques, JAGS, and two-way nested GAMMs. The book includes three chapters on the analysis of zero-inflated data. Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Mixed modelling and GLMM course in Banff, Canada
We would like to announce the following statistics course: Topic: Introduction to MCMC, Linear mixed effects models and GLMM with R Where:Parks Canada, Banff, Canada When: 22-26 September, 2014 Flyer: http://www.highstat.com/Courses/Flyer2014_09Banff.pdf Website: http://www.highstat.com/statscourse.htm Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Course: Introduction to GAM and GAMM with R
We would like to announce the following stats course: Course: Introduction to Generalized Additive Models and Generalized Additive Mixed Effects Models with R Where: Deakin University, Melbourne, Australia When: 25 - 29 August, 2014 URL Flyer: http://www.highstat.com/Courses/Flyer2014_08Deakin.pdf Further info: http://www.highstat.com/statscourse.htm -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com blog: http://www.highstat.com/wordpress/
[ECOLOG-L] Course: Data exploration, regression, GLM GAM with R intro. Plymouth, UK
We would like to announce the following statistics course: Course: Data Exploration, Regression, GLM GAM with introduction to R Where: Plymouth University, Plymouth, UK When: 7 - 11 July 2014 URL: http://www.highstat.com/statscourse.htm Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Stats courses in Australia
We are planning to run a series of four courses in Australia (and/or New Zealand) in August 2014. Potential courses: 1. Data Exploration, Regression, GLM GAM with introduction to R 2. Introduction to Linear Mixed Effects Models and GLMM with R 3. Zero Inflated Models GLMM with R 4. Beginner’s Guide to GAM GAMM with R For flyers, see: www.highstat.com/Courses/Flyer2014_08Australia1.pdf www.highstat.com/Courses/Flyer2014_08Australia2.pdf www.highstat.com/Courses/Flyer2014_08Australia3.pdf www.highstat.com/Courses/Flyer2014_08Australia4.pdf If you would like to participate, or organise a course at your institute, please contact us. Kind regards, Alain -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Beginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Course: Beginner's Guide to MCMC, mixed models and GLMM with R
We would like to announce the following stats course: Course: Introduction to MCMC, Linear mixed effects models and GLMM with R Where: CIMA Research Foundation, Savona, Italy URL flyer: http://www.highstat.com/Courses/Flyer2014_05CIMA.pdf Course website: http://www.highstat.com/statscourse.htm Kind regards, Alain -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Begginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Data exploration, linear regression, GLM GAM in R. With introduction to R
We would like to announce the following statistics course: Topic: Data exploration, linear regression, GLM GAM in R. With introduction to R. Where: Aston University. Birmingham, UK When: 12-16 May, 2014 Info: http://www.highstat.com/statscourse.htm Flyer: http://www.highstat.com/Courses/Flyer2014_03BirminghamV2.pdf Kind regards, Alain -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Begginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Statistics courses
There are a few remaining places on the following three statistics courses in Coimbra, Lisbon and Elche (Alicante). Course: Data exploration, linear regression, GLM GAM in R. With introduction to R. Where: University of Coimbra, Coimbra, Portugal When: 3-7 February, 2014 Course: Introduction to Linear Mixed Effects Models, GLMM and MCMC with R Where: University of Lisbon, Lisbon, Portugal When: 10-14 February, 2014 Course: Beginner's Guide to GAM and GAMM with R Where: Elche, Alicante, Spain When: 10-14 March, 2014 For full details, flyers, prices, etc. see: http://www.highstat.com/statscourse.htm Kind regards, Alain -- Dr. Alain F. Zuur First author of: 1. Beginner's Guide to GAMM with R (2014). 2. Beginner's Guide to GLM and GLMM with R (2013). 3. Begginner's Guide to GAM with R (2012). 4. Zero Inflated Models and GLMM with R (2012). 5. A Beginner's Guide to R (2009). 6. Mixed effects models and extensions in ecology with R (2009). 7. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com
[ECOLOG-L] Stats course in Coimbra, Portugal
There are a few remaining places on the following course: Data exploration, regression, GLM and GAM with introduction to R When: 3 - 7 February, 2014 Where: University of Coimbra, Coimbra, Portugal Further information: http://www.highstat.com/statscourse.htm Flyer: http://www.highstat.com/Courses/Flyer2014FebCoimbraV2.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007) 2. Mixed effects models and extensions in ecology with R (2009) 3. A Beginner's Guide to R (2009) 4. Zero Inflated Models and GLMM with R (2012) 5. A Beginner's Guide to GAM (2012) 6. A Beginner's Guide to GLM and GLMM (2013) Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com URL: www.brodgar.com
[ECOLOG-L] Course: Introduction to Linear mixed effects models, GLMM and MCMC with R
We would like to announce the following statistics course; Course: Introduction to Linear mixed effects models, GLMM and MCMC with R When: 10-14 February, 2014 Where: Pousada de juventude parque das nacoes. Rua de Moscavide, Lt 47 – 101, 1998- 011. Lisbon, Portugal Info: http://www.highstat.com/statscourse.htm Flyer: http://www.highstat.com/Courses/Flyer2014_02SIM_LisbonV2.pdf Kind regards, Alain -- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007) 2. Mixed effects models and extensions in ecology with R (2009) 3. A Beginner's Guide to R (2009) 4. Zero Inflated Models and GLMM with R (2012) 5. A Beginner's Guide to GAM (2012) 6. A Beginner's Guide to GLM and GLMM (2013) Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com URL: www.brodgar.com
[ECOLOG-L] Course: Mixed modelling (with intro MCMC)
We would like to announce the following stats course; Course: Introduction to MCMC, Linear mixed effects models and GLMM with R When: 20-24 January, 2014 Where: Bangor University, UK Info: http://www.highstat.com/statscourse.htm Flyer: http://www.highstat.com/Courses/Flyer2014_02Bangor.pdf Kind regards, Alain -- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007) 2. Mixed effects models and extensions in ecology with R (2009) 3. A Beginner's Guide to R (2009) 4. Zero Inflated Models and GLMM with R (2012) 5. A Beginner's Guide to GAM (2012) 6. A Beginner's Guide to GLM and GLMM (2013) Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com URL: www.brodgar.com
[ECOLOG-L] Call of interest: mixed modelling course in Quebec City
This is a call of interest for: Introduction to linear mixed effects modelling and GLMM course Where: Quebec City, Canada When: 24 - 28 March 2014 Flyer: http://www.highstat.com/Courses/Flyer2014_03Quebec.pdf General info: http://www.highstat.com/statscourse.htm Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007) 2. Mixed effects models and extensions in ecology with R (2009) 3. A Beginner's Guide to R (2009) 4. Zero Inflated Models and GLMM with R (2012) 5. A Beginner's Guide to GAM (2012) 6. A Beginner's Guide to GLM and GLMM (2013) Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com URL: www.brodgar.com
[ECOLOG-L] GAM GAMM course
We would like to announce the following statistics course: Beginner's Guide to MCMC, GAM and GAMM When: 10-14 March 2014 Where: Elche, Alicante, Spain For details, see: http://www.highstat.com/statscourse.htm Course flyer: http://www.highstat.com/Courses/Flyer2014_3ElcheV2.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007) 2. Mixed effects models and extensions in ecology with R (2009) 3. A Beginner's Guide to R (2009) 4. Zero Inflated Models and GLMM with R (2012) 5. A Beginner's Guide to GAM (2012) 6. A Beginner's Guide to GLM and GLMM (2013) Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com URL: www.brodgar.com
[ECOLOG-L] New book: Beginner's Guide to GLM and GLMM with R
Members of this mailing list may be interested in the following new book: Beginner's Guide to GLM and GLMM with R. - A frequentist and Bayesian perspective for ecologists - Zuur AF, Hilbe JM and Ieno EN This book is only available from: http://www.highstat.com/BGGLM.htm This book presents Generalized Linear Models (GLM) and Generalized Linear Mixed Models (GLMM) based on both frequency-based and Bayesian concepts. Using ecological data from real-world studies, the text introduces the reader to the basics of GLM and mixed effects models, with demonstrations of binomial, gamma, Poisson, negative binomial regression, and beta and beta-binomial GLMs and GLMMs. The book uses the functions glm, lmer, glmer, glmmADMB, and also JAGS from within R. JAGS results are compared with frequentist results. R code to construct, fit, interpret, and comparatively evaluate models is provided at every stage. Otherwise challenging procedures are presented in a clear and comprehensible manner with each step of the modelling process explained in detail, and all code is provided so that it can be reproduced by the reader. Readers of this book have free access to: Chapter 1 of Zero Inflated Models and Generalized Linear Mixed Models with R. (2012a) Zuur, Saveliev, Ieno. Chapter 1 of Beginner's Guide to Generalized Additive Models with R. (2012b) Zuur, AF. Keywords Introduction to GLM Poisson GLM and Negative binomial GLM for count data Binomial GLM for binary data Binomial GLM for proportional data Other distributions GLM applied to red squirrel data Bayesian approach – running the Poisson GLM Running JAGS via R Applying a negative binomial GLM in JAGS GLM applied to presence-absence Polychaeta data Model selection using AIC, DIC and BIC in jags Introduction to mixed effects models GLMM applied on honeybee pollination data Poisson GLMM using glmer and JAGS Negative binomial GLMM using glmmADMD and JAGS GLMM with auto-regressive correlation GLMM for strictly positive data: biomass of rainforest trees gamma GLM using a frequentist approach Fitting a gamma GLM using JAGS Truncated Gaussian linear regression Tobit model in JAGS Tobit model with random effects in JAGS Binomial, beta-binomial, and beta GLMM applied to cheetah data Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Mixed effects models and extensions in ecology with R. (2009). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. http://www.springer.com/life+sci/ecology/book/978-0-387-87457-9 3. A Beginner's Guide to R (2009). Zuur, AF, Ieno, EN, Meesters, EHWG. Springer http://www.springer.com/statistics/computational/book/978-0-387-93836-3 4. Zero Inflated Models and Generalized Linear Mixed Models with R. (2012) Zuur, Saveliev, Ieno. http://www.highstat.com/book4.htm Other books: http://www.highstat.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com URL: www.brodgar.com
[ECOLOG-L] 5 remaining places on stats course in Edmonton
There are 5 remaining places on the following course: Data exploration, regression, GLM GAM. With introduction to R When: 26 - 30 August 2013. Where: Edmonton, Canada For details, see: http://www.highstat.com/statscourse.htm Course flyer: http://www.highstat.com/Courses/Flyer2013_09Canada.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Mixed effects models and extensions in ecology with R. (2009). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. http://www.springer.com/life+sci/ecology/book/978-0-387-87457-9 3. A Beginner's Guide to R (2009). Zuur, AF, Ieno, EN, Meesters, EHWG. Springer http://www.springer.com/statistics/computational/book/978-0-387-93836-3 4. Zero Inflated Models and Generalized Linear Mixed Models with R. (2012) Zuur, Saveliev, Ieno. http://www.highstat.com/book4.htm Other books: http://www.highstat.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com URL: www.brodgar.com
[ECOLOG-L] Edmonton course: Regression, GLM GAM with R intro
We would like to announce the following statistics course: Data exploration, regression, GLM GAM. With introduction to R When: 26 - 30 August 2013. Where: Edmonton, Canada For details, see: http://www.highstat.com/statscourse.htm Course flyer: http://www.highstat.com/Courses/Flyer2013_09Canada.pdf Kind regards, Alain Zuur
[ECOLOG-L] Course: Beginner's Guide to MCMC, GLM and GAM with R
There are a few places left on the following course: Beginner's Guide to MCMC, GLM and GAM with R When: 10 - 13 June 2013 Where: SAMS, Oban, Scotland Further information: http://www.highstat.com/statscourse.htm Flyer: http://www.highstat.com/Courses/Flyer2013June_SAMS.pdf Kind regards, Alain Zuur
[ECOLOG-L] Online Beginner's Guide to R course with video/audio files
Following our successful book: 'A Beginner's Guide to R', we are please to announce an online R course based on this book. Video/audio files Discussion board Video footage of instructors Nearly every section of 'A Beginner's Guide to R' is covered. Each chapter is presented as a powerpoint video file with audio comments and you can see our computer screen with R code and results. Video footage of the course instructors is included. Exercises from the book are worked out and video solution files (and R files) are provided. You have access to a discussion board where you can ask questions on the course material and exercises. Motivational 'exercises to get certificate' are provided. Course flyer: http://www.highstat.com/Courses/FlyerOnlineRCourse.pdf Course website: http://www.highstat.com/statscourse.htm Kind regards, Alain Zuur
[ECOLOG-L] Banff Canada: Mixed modelling course
There are 8 remaining seats on the following course: Introduction to linear mixed effects modelling and GLMM course. Where: Banff, Canada When: 27-31 May, 2013 For details see the flyer at: http://www.highstat.com/Courses/FlyerCanada2013.pdf or: http://www.highstat.com/statscourse.htm Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Mixed effects models and extensions in ecology with R. (2009). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. http://www.springer.com/life+sci/ecology/book/978-0-387-87457-9 3. A Beginner's Guide to R (2009). Zuur, AF, Ieno, EN, Meesters, EHWG. Springer http://www.springer.com/statistics/computational/book/978-0-387-93836-3 4. Zero Inflated Models and Generalized Linear Mixed Models with R. (2012) Zuur, Saveliev, Ieno. http://www.highstat.com/book4.htm Other books: http://www.highstat.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com URL: www.brodgar.com
[ECOLOG-L] Mixed modelling course with R in Portugal
We would like to announce the following statistics course: Introduction to linear mixed effects modelling course with R. 11 - 15 February 2013. Lisbon, Portugal. For details, see: http://www.highstat.com/statscourse.htm Course flyer: http://www.highstat.com/Courses/Flyer2013FebSIM_Lisbon.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Mixed effects models and extensions in ecology with R. (2009). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. http://www.springer.com/life+sci/ecology/book/978-0-387-87457-9 3. A Beginner's Guide to R (2009). Zuur, AF, Ieno, EN, Meesters, EHWG. Springer http://www.springer.com/statistics/computational/book/978-0-387-93836-3 4. Zero Inflated Models and Generalized Linear Mixed Models with R. (2012) Zuur, Saveliev, Ieno. http://www.highstat.com/book4.htm Other books: http://www.highstat.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com URL: www.brodgar.com
[ECOLOG-L] Course: Regression, GLM, GAM. With intro to R
We would like to announce the following statistics course: Data exploration, regression, GLM GAM. With introduction to R When: 4 - 8 February 2013. For details, see: http://www.highstat.com/statscourse.htm Course flyer: http://www.highstat.com/Courses/Flyer2013FebCoimbra.pdf Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Mixed effects models and extensions in ecology with R. (2009). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. http://www.springer.com/life+sci/ecology/book/978-0-387-87457-9 3. A Beginner's Guide to R (2009). Zuur, AF, Ieno, EN, Meesters, EHWG. Springer http://www.springer.com/statistics/computational/book/978-0-387-93836-3 4. Zero Inflated Models and Generalized Linear Mixed Models with R. (2012) Zuur, Saveliev, Ieno. http://www.highstat.com/book4.htm Other books: http://www.highstat.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com URL: www.brodgar.com
[ECOLOG-L] New book: Zero Inflated Models and GLMM with R
Apologies for cross-posting Members of this mailing list may be interested in the following book: Zero Inflated Models and Generalized Linear Mixed Models with R. Zuur, Saveliev, Ieno. (2012) This book is only available from: http://www.highstat.com/book4.htm Kind regards, Alain Zuur -- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Mixed effects models and extensions in ecology with R. (2009). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. http://www.springer.com/life+sci/ecology/book/978-0-387-87457-9 3. A Beginner's Guide to R (2009). Zuur, AF, Ieno, EN, Meesters, EHWG. Springer http://www.springer.com/statistics/computational/book/978-0-387-93836-3 4. Zero Inflated Models and Generalized Linear Mixed Models with R. (2012) Zuur, Saveliev, Ieno. http://www.highstat.com/book4.htm Other books: http://www.highstat.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com URL: www.brodgar.com
[ECOLOG-L] 3 statistics courses in R
Apologies for cross-posting We would like to announce 3 statistics courses: 1. Data exploration, linear regression, GLM GAM in R. With introduction to R. 6 - 10 February 2012. Coimbra, Portugal. 2. Introduction to linear mixed effects modelling in R. 13 - 17 February 2012. Lisbon, Portugal. 3. Multivariate analysis in R. 20 - 24 February. Klaipeda University, Lithuania. For further information, see: www.highstat.com Kind regards, Alain Zuur
[ECOLOG-L] course: Analysis of zero inflated data
Apologies for cross-posting There are still a few places available on a course on the analysis of zero inflated data. When: Monday 24th to Friday 28th October 2011 Where: Centro de Congresos Ciutat d’Elx. Elche. (15 km from Alicante airport). Spain Keywords: zero inflation, nested data, temporal correlation, spatial correlation, GLMM overdispersion, correlation in GLMMs For details, see: www.highstat.com Kind regards, Alain
[ECOLOG-L] Course on R, data exploration, regression GLM in Norwich, UK
We would like to announce a 5-day R statistics course in Norwich, UK. Dates: 23-27 August 2010 Subject: Introduction to R, followed by data exploration, regression GLM Number of participants: approximately 12 URL: http://www.highstat.com/statscourse.htm Detailed description: Introduction to R Data exploration, Linear regression GLM in R course. 23 - 27 August 2010. Norwich. UK The course entails discussions on data exploration, regression and generalised linear modelling, and also contains an integrated R module. So, you will learn both R and statistics at the same time. Location * The course will be held at the University of East Anglia's campus in Norwich, UK (http://www.uea.ac.uk/). The campus is a 15 minute bus ride from the city centre and has affordable accommodation, and several food options. The Norwich airport (http://www.norwichairport.co.uk/) serves direct flights from many UK and European cities including Aberdeen, Edinburgh, and Manchester. Program * Monday: Introduction to R. (Importing data, accessing variables) based on the Beginner's Guide to R book written by Zuur and co-workers. Data exploration in R. This is based on Chapter 4 in Zuur et al. (2007) and a paper on data exploration published by Zuur et al. (2010). * Tuesday Wednesday: Linear regression models in R (theory, model specification, interactions, model selection, model validation, model interpretation and presentation of the results for a paper). This is based on Chapter 5 in Zuur et al. (2007). * Thursday Friday: Generalised linear models to analyse continuous data, count data, binary data and proportional data in R. We will use the gamma, Poisson, negative binomial and binomial distributions. Based on Chapters 8-10 in Zuur et al. (2009). Pre-required knowledge * Basic statistics. This course assumes no prior knowledge of R. This is a non-technical course. Price * 500 GBP + 17.5% VAT Course times * Monday to Friday: 09.30 - 17.00 with 1 hour lunch break and two 20 minute tea/coffee breaks. * Friday: 09.30 - 16.00 with 1 hour lunch break and two 20 minute tea/coffee breaks. Lunch, accomodation, tea/coffee and course material is not included in the course price. You need to bring your own laptop. Course material * Chapters 8 - 10 in: Zuur et al. (2009). Mixed effects models and extensions in ecology with R. Springer. * Chapters 4 5 in: Zuur et al. (2007). Analysing Ecological Data. Springer. * Various chapters from: Zuur et al. (2009). A Beginner's Guide to R. Springer * AF Zuur, EN Ieno CS Elphick. (2010). A protocol for data exploration to avoiding common statistical problems. Methods in Ecology and Evolution. 1, 3–14. If requested we can provide our books at a 25% reduction of the list price, or your university library may have a copy. -- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Mixed effects models and extensions in ecology with R. (2009). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. http://www.springer.com/life+sci/ecology/book/978-0-387-87457-9 3. A Beginner's Guide to R (2009). Zuur, AF, Ieno, EN, Meesters, EHWG. Springer http://www.springer.com/statistics/computational/book/978-0-387-93836-3 Other books: http://www.highstat.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com URL: www.brodgar.com
Re: [ECOLOG-L] A WARNING FOR PROFESSIONALS GOING TO THE UNITED KINGDOM
Bill, to the UK, both England and Scotland, in connection with EU projects, and I cannot figure out from the UK web pages what the current policy would be. http://www.ukvisas.gov.uk/en/howtoapply/infs/inf2visitors#9244241 The problem is that Prof Anderson is a non EU resident coming into the UK/EU for commercial work. And that is not allowed. Same rules apply in the US. Alain
[ECOLOG-L] Second mixed effects modelling course
Due to high demand, we decided to run another mixed effects modelling course. Mixed effects modelling course, 3 - 5 February 2010. Newburgh, UK When: Wednesday 3 February until Friday 5 February 2009 Where: Conference room in the White Horse Inn. Balmedie (5 miles north of Aberdeen, 10 miles from Aberdeen airport). Program: Wednesday: Generalised least squares to deal with heterogeneity in linear regression and additive models. Thursday and Friday: Mixed effects models to deal with 1-way and 2-way nested data. We will cover Chapters 4 and 5 and various case study chapters from Zuur et al. (2009). Mixed effects models and extensions in ecology with R. Costs: 500 GBP + VAT Course participants will get a special rate on hotel rooms in the White Horse Inn. The course fee includes tea/coffee in the morning and afternoon, and a light lunch (sandwiches + soup). The course fee does not include a copy of the book, and no photocopies will be provided. Hence, you need to buy the book before the course, or we can provide a book for 45 GBP. Pre-required knowledge: Linear regression (as in Appendix A from Zuur et al (2009) or Chapter 5 in Zuur et al (2007). Basic R skills. Additive modelling (as in Chapter 7 of Zuur et al. 2007). Course times: 09.15 - 17.00 This is a non-technical course. Further info: www.highstat.com -- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Mixed effects models and extensions in ecology with R. (2009). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. http://www.springer.com/life+sci/ecology/book/978-0-387-87457-9 3. A Beginner's Guide to R (2009). Zuur, AF, Ieno, EN, Meesters, EHWG. Springer http://www.springer.com/statistics/computational/book/978-0-387-93836-3 Other books: http://www.highstat.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com URL: www.brodgar.com
[ECOLOG-L] Mixed effects modelling course
Apologies for cross-posting Mixed effects modelling course, 8 - 11 December 2009. Newburgh, UK 5 remaining places When: Tuesday 8 December until Friday 11 December 2009 Where: Conference room in the Newburgh Golf Course Program. Tuesday: Generalised least squares to deal with heterogeneity in linear regression and additive models. Wednesday and Thursday: Mixed effects models to deal with 1-way and 2-way nested data. Friday: Adding temporal and spatial correlation structures to mixed effect models, additive models and linear regression models. We will cover Chapters 4 to 7 and various case study chapters from Zuur et al. (2009). Mixed effects models and extensions in ecology with R. (2009). Costs: 550 GBP + 15% VAT The course fee includes tea/coffee in the morning and afternoon, and a light lunch (sandwiches + soup). The course fee does not include a copy of the book, and no photocopies will be provided. Hence, you need to buy the book before the course, or we can provide a book for 45 GBP. Pre-required knowledge: Linear regression (as in Appendix A from Zuur et al (2009) or Chapter 5 in Zuur et al (2007). Basic R skills. Additive modelling (as in Chapter 7 of Zuur et al. 2007). Course times: 09.30 - 17.00 This is a non-technical course. Further info: http://www.highstat.com/ -- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Mixed effects models and extensions in ecology with R. (2009). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. http://www.springer.com/life+sci/ecology/book/978-0-387-87457-9 3. A Beginner's Guide to R (2009). Zuur, AF, Ieno, EN, Meesters, EHWG. Springer http://www.springer.com/statistics/computational/book/978-0-387-93836-3 Other books: http://www.highstat.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com URL: www.brodgar.com
Re: [ECOLOG-L] mixed-model zero-inflated negative binomial regression in R
On Wed, 16 Sep 2009 12:55:43 -0400, James Hodson james.hodso...@ulaval.ca wrote: Dear all, I've been searching for a while now for a package in R that can perform mixed-model zero-inflated negative binomial regression. I am looking to analyze pellet count data at the individual plot level, while accounting for the fact that pellet plots are nested within sites and thus are not strictly independent observations. I have a lot of zero counts, which is why I'm interested in a zero-inflated model. I have tried the package glmmADMB, but I have had no success in getting it to work with my data. Any advice would be welcome. Besides pscl, also VGAM. See Chapter 11 in Zuur et al (2009) for a 34-page discussion and examples. Mixed effects models and extensions in ecology with R. (2009). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. http://www.springer.com/life+sci/ecology/book/978-0-387-87457-9 Sorry for refering to our won work..:-) Alain And doing it in RBugs is also easy.
[ECOLOG-L] Beginner's guide to R book
Apologies for cross-posting Members of this mailing list may be interested to know that the following book can now be ordered from Springer (UseR! series) or Amazon. A Beginner's Guide to R (2009). Zuur, Ieno, Meesters. Kind regards, Alain Zuur
Re: [ECOLOG-L] Mixed Linear Models
On Thu, 11 Jun 2009 17:54:35 -0400, Isabelle-Anne Bisson ibis...@princeton.edu wrote: Fellow Eco-loggers, I would greatly appreciate your input on a statistical question that I have. My study design is as follows: Four subjects receive NO treatment on day 1 and a treatment on day 2. The treatment is of 4 hours. I take a measurement (e.g., blood pressure) every minute for each subject on both days. I would like to test for the effect of treatment while taking into account change over time. Are 'linear mixed models' analyses appropriate for this type of data set? Without seeing the data, it is always a guess.but I think yes. See Chapter 6 in: Mixed effects models and extensions in ecology with R. (2009). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. http://www.springer.com/life+sci/ecology/book/978-0-387-87457-9 for similar examples and R code. Alain --- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Mixed effects models and extensions in ecology with R. (2009). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. http://www.springer.com/life+sci/ecology/book/978-0-387-87457-9 3. A Beginner's Guide to R (2009). Zuur, AF, Ieno, EN, Meesters, EHWG. Springer Other books: http://www.brodgar.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com URL: www.brodgar.com
Re: [ECOLOG-L] Statistic program question
On Tue, 2 Jun 2009 20:03:31 -0500, Mike Sears mse...@brynmawr.edu wrote: I want to sit down and learn R. Where is the best place to start? At your computer! ;) If you are looking for a book, good ones are Michael Crawley's Statistics: An Introduction Using R or Peter Dalgaard's Introductory Statistics with R. If I may be bold enough to refer to our own book: A Beginner's Guide to R (2009) Zuur, Ieno, Meesters. Springer Available for pre-ordering from: http://www.springer.com/statistics/computational/book/978-0-387-93836-3 Should be available in a month or so. Alain Crawley is a biologist, and his book might be a little more accessible to ecologists. He has also written a much more comprehensive book on R, The R Book, which is useful. Cheers, Mike Malcolm On Tue, Jun 2, 2009 at 4:58 PM, Gavin Simpson gavin.simp...@ucl.ac.uk wrote: On Tue, 2009-06-02 at 14:15 -0700, AdRiAnA HuMaNeS wrote: Dear Listers: I am writing to ask if anyone knows a statistical program besides PERMANOVA= that can do ANOVAS of mixed designs with four factors (two orthogonals and= two nested) and unbalanced data, Best Regards Adriana Humanes Function adonis() in the vegan package for R can fit this type of model. You can find out more here: http://cran.r-project.org/package=vegan HTH, G -- %~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~% Dr. Gavin Simpson [t] +44 (0)20 7679 0522 ECRC, UCL Geography, [f] +44 (0)20 7679 0565 Pearson Building, [e] gavin.simpsonATNOSPAMucl.ac.uk Gower Street, London [w] http://www.ucl.ac.uk/~ucfagls/ UK. WC1E 6BT. [w] http://www.freshwaters.org.uk %~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~% -- Michael W. Sears, Ph.D. Department of Biology Bryn Mawr College 101 N. Merion Ave Bryn Mawr, PA 19010 http://www.brynmawr.edu/biology http://www.zoology.siu.edu/sears/mike_sears_home.html =
[ECOLOG-L] Mixed modelling book
Apologies for cross-posting Members of this mailing list may be interested in the following book: Mixed effects models and extensions in ecology with R. (2009). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. This book is now being shipped from Amazon.com and Springer.com. All R code and data sets can be downloaded from: http://www.highstat.com/books.htm Kind regards, Alain Zuur Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Mixed effects models and extensions in ecology with R. (2009). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. http://www.springer.com/life+sci/ecology/book/978-0-387-87457-9 3. A Beginner's Guide to R (2009). Zuur, AF, Ieno, EN, Meesters, EHWG. Springer Other books: http://www.brodgar.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: highs...@highstat.com URL: www.highstat.com URL: www.brodgar.com
[ECOLOG-L] Courses in New Zealand, April/May 2009
Apologies for cross-posting Highland Statistics will provide 4 courses in New Zealand (April/ May 2009), 3 of which are open for external people. Course 1: Data analysis, linear regression generalised additive modelling (GAM) course in R. When: Tuesday 14 April until Friday 17 April 2009 Where: NIWA, Auckland, New Zealand Course 2: Mixed effects modelling course in R. When: Monday 4 May until Friday 8 May 2009 Where: Cawthron, Nelson, New Zealand Course 3: Multivariate analysis course. When: Tuesday 12 May until Friday 15 May 2009 Where: Cawthron, Nelson, New Zealand For further information on prices, availability, course outline, keywords, pre-required knowledge, etc, see: http://www.highstat.com/statscourse.htm Kind regards, Alain Zuur Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Mixed effects models in ecology with R. (2008). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. Other books: http://www.brodgar.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: [EMAIL PROTECTED] URL: www.highstat.com URL: www.brodgar.com
[ECOLOG-L] Photos for a statistics book
Hello, Apologies for cross-posting. We are on the point to finish a statistics book on mixed modelling applied on ecological data. We would like to use a book cover that contains photographs of some of the species that we use in the book. The problem is that such pictures need to be of high quality (at least 300 dpi) and we need exclusive worldwide copyright (which rules out the work of most professionals). I was wondering if anyone on this mailing list has pictures/photographs of the species listed below, and is willing to donate one or two photos (and transfer copyright to the publisher). In return, we will give you a free copy of the book (provided we use the picture) and mention the source/photographer. On top of the list of preferred photos are: Barn owls (European) Sperm whales (Physeter macrocephalus) Koalas (Phascolarctos cinereus) Other pictures we look for are from: Limosa (Limosa haemastica) Badgers (Meles meles) Cetaceans (any of Delphinus delphis, Lagenorhynchus acutus, Phocoena phocoena, Stenella coeruleoalba, Stenella frontalis, Tursiops truncatus) Kind regards, Alain Zuur Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Mixed effects models in ecology with R. (2008). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. Other books: http://www.brodgar.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: [EMAIL PROTECTED] URL: www.highstat.com URL: www.brodgar.com
[ECOLOG-L] Stats course for ecologists in York, UK
There are three available seats for an in-house course at CSL in York, UK Subjects: Data exploration, regression, GLM GAM (Gaussian, Poisson, Binomial, and time allowing: negative binomial) A 5 day regression, GLM and GAM course in York, UK. When: Monday 12 May until Friday 16 May 2008. Where: Central Science Laboratory in York There are 3 seats available as part of an in-house course at CSL, York. Course: Analysing Biological and Environmental Data -Using univariate methods-. Open to: Anyone. This is a non-technical course for biologists. Pre-required statistical knowledge: Basic statistics (Normal distribution, p-value, hypothesis testing, mean, variance, etc.). Price: 650 GBP (+ 17.5% VAT). Outline: Monday: Data exploration. Tuesday: Linear regression (model selection, model validation, interaction). Wednesday: generalised linear modelling (Poisson and binomial). Thursday: Generalised additive modelling (Gaussian, Poisson and binomial). Friday: Catching up negative binomial GLMs and GAMs (time allowing). Course material is based on: Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 Registration: www.highstat.com BB in York is about 40 GBP per night. Kind regards, Alain Zuur Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Analysing Ecological data using GLMM and GAMM in R. (2008). Zuur, AF, Ieno, EN, Walker, N and Smith, GM. Springer. 3. An introduction to R for life scientists: - With a paper submission guide - (2008). Zuur, AF, Ieno, EN and Meesters, EHGW. Springer Other books: http://www.brodgar.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: [EMAIL PROTECTED] URL: www.highstat.com URL: www.brodgar.com
Re: Input of non-normal variables into GLM models
On Tue, 13 Nov 2007 20:07:33 +0200, Anon. [EMAIL PROTECTED] wrote: Sami Ullah wrote: Hey Ecologers: I have a various variables for running multiple linear regression model using GLM. Some of my predictor variables are non-normally distributed. Using multiple linear regression, I use proc-univariate to check if the residuals in the regression model met the normality criteria, which the model did. Now I am wondering if it is advisable if I can keep the skewed predictor variables in the model or have to go for non-parametric analysis? The distribution of the predictor variables is irrelevant, so you can happily keep them in. Well, the distribution is almost irrelevant. You can get problems if they are co-linear (i.e. highly correlated), or if you have outliers (which can have a large influence on the fit). Agree. One extra thingI would argue that normality of explanatory variables (predictors) is actually bad. It means that most observations have the same (or similar) value for that explanatory variable, which may (!) make it more difficult to find a significant effect. Bad experimental design. Perhaps a histogram shaped like the uniform distribution would be the best. It means that you have similar number of observations for each part of you sampled gradient...for that explanatory variable. My suggestion is not to transform anything (dependent and independent), unless you have outliers in your explanatory variables. Or if you have something trivial like weight-length data. I've come across the impression that the predictors have to be normally distributed a few times, but I don't know where it originates from - certainly not from statistical theory. It is a fairy tail that many people seem to believe in. Also the normality of the response variable, the raw data, is such a fairy tail. The assumtpion is that you have normality of your response (dependent) variable at EACH X value, and without 30 replicates or so, you cannot check this. And who has 30 replicates? Kind regards, Alain Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Analysing Ecological data using GLMM and GAMM in R. (2008). Zuur, AF, Ieno, EN, Walker, N and Smith, GM. Springer. 3. An introduction to R for the life scientists: - With a paper submission guide - (2008). Zuur, AF, Ieno, EN and Meesters, EHGW. Springer Other books: http://www.brodgar.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: [EMAIL PROTECTED] URL: www.highstat.com URL: www.brodgar.com Bob -- Bob O'Hara Department of Mathematics and Statistics P.O. Box 68 (Gustaf Hällströmin katu 2b) FIN-00014 University of Helsinki Finland Telephone: +358-9-191 51479 Mobile: +358 50 599 0540 Fax: +358-9-191 51400 WWW: http://www.RNI.Helsinki.FI/~boh/ Blog: http://deepthoughtsandsilliness.blogspot.com/ Journal of Negative Results - EEB: www.jnr-eeb.org =
Two stats courses in Chetumal, Mexico, November 2007
We would like to announce two statistics courses in Chetumal, Mexico, in November 2007. Course 1: Regression, GLM and GAM course Course 2: Mixed modelling, GLMM and GAMM Full details: http://www.highstat.com/statscourse.htm Course 1: A 5 day GLM GAM course in in Chetumal, Mexico. When: Monday 12 November until Friday 16 November 2007. Where: Aula de Profesionalización para el Servidor Público de Carrera del Estado de Quintana Roo Av. Zaragoza 231-A entre Independencia y Juárez, Col. Centro, Chetumal, Q. Roo, México. Course title: Analysing Biological and Environmental Data -Using regression, GLM and GAM-. Open to: Anyone. This is a non-technical course for biologists and environmental scientists. Price: 325 USD for students and non-students Course 2: A 5 day mixed modelling, GLMM and GAMM course in Chetumal, Mexico. Course: Analysing Biological and Environmental Data -Using mixed modelling, GLMM and GAMM-. When: Monday 19 November until Friday 23 November 2007. Where: Aula de Profesionalización para el Servidor Público de Carrera del Estado de Quintana Roo Av. Zaragoza 231-A entre Independencia y Juárez, Col. Centro, Chetumal, Q. Roo, México. Keywords: Regression, additive models, GLM and GAM for time series, spatial data, nested data, and heterogeneous data. The main subject of the course is mixed modelling (nested data), generalised least squares (different variance components, auto-correlation for time series and spatial correlation), generalised linear mixed modelling (Poisson and Binomial), generalised additive mixed modelling (Poisson and Binomial), and repeated measurements. Open to: Anyone. This is a non-technical course for biologist. Pre-required knowledge: You can only attend this course if you have attended a regression, GLM and GAM course with Highland Statistics. Homework on R will be provided. Price: 325 USD for students and non-students, provided that you also attend the regression, GLM and GAM course. Else 450 USD. The fee does not include accommodation or subsistence. There is a strong emphasis on temporal correlation in this course. Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Analysing Ecological data using GLMM and GAMM in R. (2008). Zuur, AF, Ieno, EN, Walker, N and Smith, GM. Springer. 3. An introduction to R for the life scientists: - With a paper submission guide - (2008). Zuur, AF, Ieno, EN and Meesters, EHGW. Springer Other books: http://www.brodgar.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: [EMAIL PROTECTED] URL: www.highstat.com URL: www.brodgar.com
Two stats courses in Chetumal, Mexico, November 2007
We would like to announce two statistics courses in Chetumal, Mexico, in November 2007. Course 1: Regression, GLM and GAM course Course 2: Mixed modelling, GLMM and GAMM Full details: http://www.highstat.com/statscourse.htm Course 1: A 5 day GLM GAM course in in Chetumal, Mexico. When: Monday 12 November until Friday 16 November 2007. Where: Aula de Profesionalización para el Servidor Público de Carrera del Estado de Quintana Roo Av. Zaragoza 231-A entre Independencia y Juárez, Col. Centro, Chetumal, Q. Roo, México. Course title: Analysing Biological and Environmental Data -Using regression, GLM and GAM-. Open to: Anyone. This is a non-technical course for biologists and environmental scientists. Price: 325 USD for students and non-students Course 2: A 5 day mixed modelling, GLMM and GAMM course in Chetumal, Mexico. Course: Analysing Biological and Environmental Data -Using mixed modelling, GLMM and GAMM-. When: Monday 19 November until Friday 23 November 2007. Where: Aula de Profesionalización para el Servidor Público de Carrera del Estado de Quintana Roo Av. Zaragoza 231-A entre Independencia y Juárez, Col. Centro, Chetumal, Q. Roo, México. Keywords: Regression, additive models, GLM and GAM for time series, spatial data, nested data, and heterogeneous data. The main subject of the course is mixed modelling (nested data), generalised least squares (different variance components, auto-correlation for time series and spatial correlation), generalised linear mixed modelling (Poisson and Binomial), generalised additive mixed modelling (Poisson and Binomial), and repeated measurements. Open to: Anyone. This is a non-technical course for biologist. Pre-required knowledge: You can only attend this course if you have attended a regression, GLM and GAM course with Highland Statistics. Homework on R will be provided. Price: 325 USD for students and non-students, provided that you also attend the regression, GLM and GAM course. Else 450 USD. The fee does not include accommodation or subsistence. There is a strong emphasis on temporal correlation in this course. Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Analysing Ecological data using GLMM and GAMM in R. (2008). Zuur, AF, Ieno, EN, Walker, N and Smith, GM. Springer. 3. An introduction to R for the life scientists: - With a paper submission guide - (2008). Zuur, AF, Ieno, EN and Meesters, EHGW. Springer Other books: http://www.brodgar.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: [EMAIL PROTECTED] URL: www.highstat.com URL: www.brodgar.com
Mixed modelling course (incl. temporal + spatial correlation) in the UK
We would like to announce the following statistics course: A 5 day mixed modelling, GLMM and GAMM course in Newburgh, UK When: Monday 21 April - 25 April 2008. Where: Ythan hotel, Newburgh, Aberdeenshire, UK. Keywords: temporal correlation, spatial correlation, nested data Details: http://www.highstat.com/statscourse.htm Kind regards, Alain Zuur Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Analysing Ecological data using GLMM and GAMM in R. (2008). Zuur, AF, Ieno, EN, Walker, N and Smith, GM. Springer. 3. An introduction to R for the life scientists: - With a paper submission guide - (2008). Zuur, AF, Ieno, EN and Meesters, EHGW. Springer Other books: http://www.brodgar.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: [EMAIL PROTECTED] URL: www.highstat.com URL: www.brodgar.com Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Analysing Ecological data using GLMM and GAMM in R. (2008). Zuur, AF, Ieno, EN, Walker, N and Smith, GM. Springer. 3. An introduction to R for the life scientists: - With a paper submission guide - (2008). Zuur, AF, Ieno, EN and Meesters, EHGW. Springer Other books: http://www.brodgar.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: [EMAIL PROTECTED] URL: www.highstat.com URL: www.brodgar.com
Mixed modelling (including temporal + spatial correlation) for biologists
We would like to announce the following statistics course: A 5 day mixed modelling, GLMM and GAMM course in Newburgh, UK When: Monday 1 October until Friday 5 October 2007. Where: Ythan hotel, Newburgh, Aberdeenshire, UK. Keywords: temporal correlation, spatial correlation, nested data Details: http://www.highstat.com/statscourse.htm !! There is a strong emphasis on temporal and spatial correlation in this course. !! When: Monday 1 October until Friday 5 October 2007. Where: Ythan hotel, Newburgh, Aberdeenshire, UK. Keywords: Regression, additive models, GLM and GAM for time series, spatial data, nested data, and heterogeneous data. Course: Analysing Biological and Environmental Data -Using mixed modelling, GLMM and GAMM-. The main subject of the course is mixed modelling (nested data), generalised least squares (different variance components, auto-correlation for time series and spatial correlation), generalised linear mixed modelling (Poisson and Binomial), generalised additive mixed modelling (Poisson and Binomial), and repeated measurements. Open to: Anyone. This is a non-technical course for biologist. Pre-required knowledge: You need to read either (i) chapters 4, 5, 6 and 7 of Zuur, AF, Ieno, EN, Smith, GM (2007). Analysing Ecological Data. Springer. 685p, or (ii) attend our univariate GLM GAM course. Price: Early registration: 600 GBP (for students and non-students). Prices are excluding 17.5% VAT. The fee includes coffee and tea, and the course material. Accommodation is around 40 GBP per night (provided you book early) but is not included in the course fee. We are close to Aberdeen airport (25 GBP for a taxi). Maximum number of participants: 10. You need to bring your own laptop, though we have a few spare ones. Outline. Monday: Revision of Chapters 4-7 in Zuur et al (2007). Tuesday and Wednesday: Dealing with heterogeneity and random effects. Thursday and Friday: Temporal correlation structures in regression, GLM and GAM models. Spatial correlation structures in regression, GLM and GAM models (also useful for time series data!). What to write in a paper. Catch-up, case studies and presenting results for your own data. Kind regards, Alain Zuur Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Analysing Ecological data using GLMM and GAMM in R. (2008). Zuur, AF, Ieno, EN, Walker, N and Smith, GM. Springer. 3. An introduction to R for the life scientists: - With a paper submission guide - (2008). Zuur, AF, Ieno, EN and Meesters, EHGW. Springer Other books: http://www.brodgar.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: [EMAIL PROTECTED] URL: www.highstat.com URL: www.brodgar.com
Re: nonparametric repeated measures
On Mon, 23 Apr 2007 12:50:48 -0400, Lucy [EMAIL PROTECTED] wrote: I'm working with some percent cover data from plots that have been measured annually for the past five years. In several plots and during some years there is little to no vegetation coverage, so the data are heavily skewed; the common transformations (log, square root) haven't worked. Is there a way to do repeated measures analyses on non-normal data? Is PROC MIXED robust enough to handle nonparametric data? Thanks for your help! Lucy, I think you are a bit confused. If longitudinal data analysis/mixed modelling does not work, then try generalised linear mixed modelling (e.g. a Poisson or Neg. Binomial with an auto-correlation structure). But this is something different than non-parametric stats. Not sure about SASbut yes...PROC MIXED is for Gaussian mixed modelling (I think). Not sure which package to use for GLMM in SAS. In R, it is nlme (mixed modelling), lmer, glmmPQL or glmmML. You could also try GLS. All methods are also explained in our mixed modelling course in October 2007. See http://www.highstat.com/statscourse.htm Alain --- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Analysing Ecological data using GLMM and GAMM in R. (2008). Zuur, AF, Ieno, EN, Walker, N and Smith, GM. Springer. 3. An introduction to R for the life scientists: - With a paper submission guide - (2008). Zuur, AF, Ieno, EN and Meesters, EHGW. Springer Other books: http://www.brodgar.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: [EMAIL PROTECTED] URL: www.highstat.com URL: www.brodgar.com Lucy =
Re: Dealing with non-normal, ordinal data for 2-way ANOVA with interactions
On Wed, 7 Mar 2007 16:19:31 -0500, Ryan Earley [EMAIL PROTECTED] wrote: Help with stubbornly non-normal data We have a data set with 2 independent variables and 1 dependent (Gosner stage for amphibian larvae). Hello, Normality is less important. What about homogeneity? We have tried every creative way to transform the data a waste of your time I am afraid and end up with significant deviation from normality each time. Just make a histogram or QQ plot, and judge by eye. Normality is not soo importantcompared to independence and homogeneity. But it also depends on sample size, whether the data are balanced and how significant your results are. And perhaps your non-normality is caused by an improper model? See also: www.springer.com/0-387-45967-7 for possible solutions. What we'd like to ultimately do is test both main effects and their testing the main efffects while the interaction is significant??? There is a whole discussion on this topic. See Underwood (200-something). interaction (which effectively eliminates the use of two Kruskal-Wallis tests or Friedman's two-way ANOVA). We would be indebted to anyone who might Is your response (dependent) ordinal??? Then I guess it has only a few unqiue values? No wonder it is not normal. In thas case, have a look at multinomial logistic regression (MLR). There is also an extension of MLR that takes into account the fact that the data are ordinal. See: Kleinbaum DG Klein M (2002) Logistic Regression A Self-Learning Text. New York: Springer-Verlag Alain Dr. Alain F. Zuur First author of: Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 Analysing Ecological data using GLMM and GAMM in R. (2008). Zuur, AF, Ieno, EN, Walker, N and Smith, GM Springer. Other books: http://www.brodgar.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: [EMAIL PROTECTED] URL: www.highstat.com URL: www.brodgar.com have a suggestion on how to proceed statistically. Thanks for your help in advance. Best, Ryan L. Earley Foung Vang Cal State Fresno =
Re: Dealing with non-normal, ordinal data for 2-way ANOVA with interactions
At 16:19 11/03/2007, John Gerlach wrote: After lengthly reviews of the literature drilling down through the numerous citations that all cite secondary sources, I found that all of the statements that ANOVA is robust to normality or homogeneity were based on a couple of early simulations using one-way models. All bets are off once you leave the simplistic realm of one-way ANOVA. Similar statements are made within linear regression (and anova is linear regression). Montgomery and Peck (2002?). In my analysis the distributions of normality or homogeneity patterns across the data structure were critically important for interpreting effects. After a lot of pain, including failing to get proc GLM to run without crashing, If a GLM fails (in whichever package) I would rather try to understand why it fails. To me, that is more a warning that something funny goes on with your data. Perhaps a certain combination of factors with not enough observations? Alain I went with a weighted ANOVA approach for Case 2 and for Case 1 I'll probably use a detection limit approach that is used to analyze water quality data - failure time approaches don't lend themselves to factorial ANOVA. John Gerlach - Original Message From: Highland Statistics Ltd. [EMAIL PROTECTED] To: ECOLOG-L@LISTSERV.UMD.EDU Sent: Sunday, March 11, 2007 4:38:10 AM Subject: Re: [ECOLOG-L] Dealing with non-normal, ordinal data for 2-way ANOVA with interactions On Wed, 7 Mar 2007 16:19:31 -0500, Ryan Earley [EMAIL PROTECTED] wrote: Help with stubbornly non-normal data We have a data set with 2 independent variables and 1 dependent (Gosner stage for amphibian larvae). Hello, Normality is less important. What about homogeneity? We have tried every creative way to transform the data a waste of your time I am afraid and end up with significant deviation from normality each time. Just make a histogram or QQ plot, and judge by eye. Normality is not soo importantcompared to independence and homogeneity. But it also depends on sample size, whether the data are balanced and how significant your results are. And perhaps your non-normality is caused by an improper model? See also: http://www.springer.com/0-387-45967-7www.springer.com/0-387-45967-7 for possible solutions. What we'd like to ultimately do is test both main effects and their testing the main efffects while the interaction is significant??? There is a whole discussion on this topic. See Underwood (200-something). interaction (which effectively eliminates the use of two Kruskal-Wallis tests or Friedman's two-way ANOVA). We would be indebted to anyone who might Is your response (dependent) ordinal??? Then I guess it has only a few unqiue values? No wonder it is not normal. In thas case, have a look at multinomial logistic regression (MLR). There is also an extension of MLR that takes into account the fact that the data are ordinal. See: Kleinbaum DG Klein M (2002) Logistic Regression A Self-Learning Text. New York: Springer-Verlag Alain Dr. Alain F. Zuur First author of: Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: http://www.springer.com/0-387-45967-7www.springer.com/0-387-45967-7 Analysing Ecological data using GLMM and GAMM in R. (2008). Zuur, AF, Ieno, EN, Walker, N and Smith, GM Springer. Other books: http://www.brodgar.com/books.htmhttp://www.brodgar.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: [EMAIL PROTECTED] URL: http://www.highstat.comwww.highstat.com URL: http://www.brodgar.comwww.brodgar.com have a suggestion on how to proceed statistically. Thanks for your help in advance. Best, Ryan L. Earley Foung Vang Cal State Fresno = No virus found in this incoming message. Checked by AVG Free Edition. Version: 7.5.446 / Virus Database: 268.18.8/718 - Release Date: 11/03/2007 09:27 Dr. Alain F. Zuur First author of: Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 Analysing Ecological data using GLMM and GAMM in R. (2008). Zuur, AF, Ieno, EN, Walker, N and Smith, GM Springer. Other books: http://www.brodgar.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: [EMAIL PROTECTED] URL: www.highstat.com URL: www.brodgar.com
Regression, GLM GAM course for biologists
Apologies for cross-posting There are a few places left on the following stats course: Analysing Biological and Environmental Data -Using regression, GLM and GAM-. When: Monday 23 April until Friday 27 April 2007. Where: Ythan hotel, Newburgh, Aberdeenshire, UK. Keywords: Regression, GLM and GAM for biological data. The main subject of the course is generalised linear modelling (Poisson and Binomial) and generalised additive modelling (Poisson and Binomial). We will also discuss data exploration tools and linear regression (as a platform for GLM and GAM). Open to: Anyone. This is a non-technical course for biologists and environmental scientists. Flyer: http://www.brodgar.com/FlyerNewburghApril2006B.pdf Registration and other courses: http://www.brodgar.com/statscourse.htm Kind regards, Alain Zuur Dr. Alain F. Zuur First author of: Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 Analysing Ecological data using GLMM and GAMM in R. (2008). Zuur, AF, Ieno, EN, Walker, N and Smith, GM Springer. Other books: http://www.brodgar.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: [EMAIL PROTECTED] URL: www.highstat.com URL: www.brodgar.com
Re: statistics question
On Thu, 1 Feb 2007 07:45:03 -0500, Susan Heath [EMAIL PROTECTED] wrote: Ecologgers, Has someone out there used breeding bird survey trend data as a dependent variable in a multiple regression? If so can I discuss with you whether you transformed this variable and if so what transformation you used. Hello, Sorry for being a bit harsh, but you should not ask this question. Or let me say it different, the question cannot be answered by anyone without seeing it. If you apply regression analysis, the assumptions are homogeneity, independence, no patterns in your residuals, normality (at each X value), and fixed X. It all depends which one is violated; in some cases you may want to transform, in other scenarios you may want to continue with GLM, GAM or mixed modelling, or even GLMM or GAMM. There are examples of some of these methods in www.springer.com/0-387-45967-7 (publication date: 23-3-2007), and also in: Analysing Ecological Data using GLMM and GAMM with R. by: Zuur, AF, Ieno, EN, Smith, GM, Walker, N. (Expected publication date: 2008). Publisher: Springer. But that take a bit longer. The message is: provided you are willing to apply either mixed modelling, GLMM or GAMM, there is no need for a data transformation on your bird data. In many ecological examples I have seen, heterogeneity is part of the natural system, and is too important to remove it with a data transformation. As to the suggestion made by the first posting, I would not apply a transformation on a richness diversity index. Alain Zuur www.highstat.com Also, does anyone know how to get SAS to compute delta AIC values? I can get it to calculate the AIC value for each case but not delta AICs and calculating them by hand will really be a pain. Thanks for any info. Sue -- Susan A. Heath George Mason University Environmental Science Department Fairfax, VA Secretary, Virginia Avian Records Committee =
Stats courses; glm/gam/glmm/gamm/R/mixed modelling
Apologies for cross-posting There are a few places left on the following two courses in Lisbon (Portugal): 1. GLM/GAM course (5 seats left) 2. Introduction to R (3 seats left). The GLM/GAM course runs from 20-24 November, and the R course from 27-29 November. There are also seats left of the following two courses in Newburgh (April and May 2007): 1. GLM/GAM course (8 seats left) 2. mixed modelling/GLMM/GAMM course (6 seats left) Knowledge of the GLM/GAM course and R programming is highly recommended for the GLMM/GAMM course. For details and a course flyer: http://www.highstat.com/statscourse.htm Course material for the GLM/GAM courses is based on www.springer.com/0-387-45967-7 Kind regards, Alain Zuur Dr. Alain F. Zuur First author of: Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 Other books: http://www.brodgar.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: [EMAIL PROTECTED] URL: www.highstat.com URL: www.brodgar.com
3-day R course in Lisbon
Apologies for cross-posting. We would like to announce a 3-day R course in Lisbon, Portugal. Full details can be found at: http://www.brodgar.com/statscourse.htm Kind regards, Alain Zuur Dr. Alain F. Zuur First author of: Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7
Lisbon stats course
Dear all, We would like to announce the upcoming course entitled: Analysing Biological and Environmental Data - Using Univariate Methods taking place in Lisbon, Portugal, 20-24th, November 2006. Course instructors: Dr. Alain Zuur and Dr. Elena Ieno, Highland Statistics Ltd. Course material is based on: www.springer.com/0-387-45967-7 Hosted by: Dr. Henrique Cabral, Instituto de Oceanografia, Faculdade de Ciências, Universidade de Lisboa For more information please go to : http://correio.fc.ul.pt/~hcabral/Flyer.pdf or contact : Catarina Vinagre - [EMAIL PROTECTED] Kind regards, Alain Dr. Alain F. Zuur First author of: Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 Other books: http://www.brodgar.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: [EMAIL PROTECTED] URL: www.highstat.com URL: www.brodgar.com
Re: Standardised Principal Component Analysis
On Thu, 14 Sep 2006 17:18:37 +0100, Tony Mathew [EMAIL PROTECTED] wrote: List Got a few questions on standardised principal components (SPCA). I hasten to add that I am not an ecologist. I use remotely sensed images (e.g., NDVI) for the analysis of vegetation changes and hence my presence in the list. Happened to see a discussion on PCA here and I realise that the ideas are applicable to remote sensing as well. Tony, Standardised PCAI assume that this is PCA applied on the correlation matrix? Once you do SPCA and you have your individual components, how is it that you go about interpreting them? There are a couple of things you can do to simplify the loadings and scores. See Jolliffe (2002) or Zuur et al (2007) at www.springer.com/0-387- 45967-7 for various methods and examples (one such is: SCoTLASS) PC1 is said to show characteristic variability over the time period and the other PCs will show variability as caused by different factors like flood, drought, fire etc. On to the questions: 1. How can I be sure that the variability is caused by one single (or dominant) factor and not by a combination of two or more factors - e.g., rainfall and grazing? You cannot do this. If the first few axes are determined by a series of variables then this is due to the nature in the variability of your data. All you can do is to try and apply one of these simplification/rotation methods like a varimax or SCoTLASS methods. But your question is against the principle of PCA. If each axes would be dominated by only one variable you may as well plot the original data. A biplot may help interpretation. 2. If the number of images going in to the time series are increased isn't the chance of me isolating factors to component (individual) images increasing? 3. Is it realistic to expect that seasonality will come out in one component? If seasonality is the most important source of variation in your data, then certainly it will be dominating the first axis (or even the first few axes) 4. Is it sensible to do this kind of time-series analysis with only 4 images as against the published literature which talks about analysis using NDVI images for every month of the year for e.g., 20 years? PCA is not a time series analysis method! And you have not provided enough info to answer this question. Literature also talk about the area-weightedness of PCA. Basically this mean that if you are taking the African continent as a whole and doing SPCA and then comparing it with the SPCA done for only South Africa, the results will be different not only because of the difference in vegetation but also because of the area involved. Anyone out there who can give provide me further information on this? I don't understand the issue. You apply PCA on data from a whole continent, and then only on a subset...of course you may get different results.it all depends how different the correlation matrix is. The area that I am focussing on is Kruger National Park, in South Africa and there is clear distinction in vegetation activity across summer and winter. To add to the trouble the images come from both summer and winter. Is there any other method to isolate seasonality from a time series of vegetation intensity? There are different options. But keep in mind that PCA is not really designed to analyse time series! Change the order of the observations and you still get the same results. You could de-seasonalise the dataor apply any of the time series analysis methods described in for example www.springer.com/0-387-45967-7 Jolliffe (2002) also has a couple of sections on remote sensing data. Hope this helps. Alain www.highstat.com Advance thanks for any input. Tony This message has been checked for viruses but the contents of an attachment may still contain software viruses, which could damage your computer system: you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation. =
Re: PCA question
On Thu, 24 Aug 2006 11:04:42 -0300, James J. Roper [EMAIL PROTECTED] wrote: Steve, Dear Jim, I'm not sure if I fully agree with this. Even PCA should require multivariate normality, because the method is based on using either the covariance or the correlation matrix. Both of these require multivariate normality to some extent to be meaningful. Why is that? The normality assumption is only required for the hypothesis testing procedure. Suppose you just want to use the correlation or covariance as a measure of association? The variance is only a good estimate of the true variance if the distribution is normal or transformable to normality, and so, normality is required. Correlations, to be meaningful, also require normality, as the statistic program is not using a covariance matrix based on ranks (Spearman). In some situations perhaps yes..but I can also imagine situations in which this does not hold. Suppose you are interested in the correlation between a species abundance and temperature. Assumming bivariate normality means that each of the variables should be normally distributed. So..most of your temperature values should be clumbed around a certain value If all the fun happens in this specific temperature regime, then that is fine. But if you have long gradients, it is perhaps better to take equal number of samples along the temperature gradient (this is also one of the assumptions in methods like canonical correspondence analysis and redundancy analysis...see Ter Braak 1986). Finally, if the new components (reduced number of variables) are being used in a new analysis (hypothesis testing) - for them to make sense, their distributions should also fit the assumptions of the test (if ANOVA, normality of the residuals and equality of the variances, for example). If you mean that you want to use the PCA axes as new explanatory variables in a linear regression.then...keep in mind that we do not need normality of the explanatory variables in linear regression. What we actually assume is that at each X value the Y data are normally distributed. So..in a linear regression with one X, you can draw a line (fitted values) with a tunnel on top of it showing the probability of possible realisations. The more I think about it, the more I start to believe that a niceley uniform distributed X is better (approximately the same number of observations along your X gradient). In a GAM, this is even more important or else you get these very wide confidence bands at the end of the gradients. If the original variables were far from normal, then the reduced number of variables based on the correlation or covariance matrix are problematic as well. And of course, we all know that the normality assumption is fairly robust, more so than the equality of variance assumption. That is true. There are even good textbooks that advocate that normality is not needed at all, and cite the central limit theory. Alain www.highstat.com Cheers, Jim Steve Brewer wrote: Please allow me to clarify one comment I made regarding multivariate normality. When I was talking about the multivariate normality requirement, it was in relation to doing discriminant analysis and MANOVA, not PCA. I believe that multivariate normality is required for testing significance using these techniques. If I am wrong, then several multivariate textbooks are wrong also. Indeed, multivariate normality is not required for PCA. PCA does not involve hypothesis testing. Having said that, several have shown using simulations that, when certain aspects of multivariate normality do not hold (e.g., when there are lots of zero values), other exploratory techniques (e.g., non-metric multidimensional scaling) perform better. I have seen some use Principal Coordinates Analysis (using distance measures other than correlation) to examine morphometric differences among taxa. Presumably, this performs better than PCA under certain circumstances. One problem I have seen is that some investigators become attached to a particular technique. When I ask them why, many respond that it is the most commonly used analysis in their particular field of study. Hopefully, we can all agree that *that* is not an adequate justification for using a particular technique. Personally, I prefer to analyze multivariate data using several different techniques (including PCA). When they provide different results, I become suspicious and am encouraged to find out why. Steve Brewer At 6:05 AM -0400 8/24/06, Highland Statistics Ltd. wrote: Hope this helps some. Let me know if you want information about SuperAnova or PC-Ord. Steve At 7:31 PM -0500 8/21/06, Chris Taylor wrote: Hey Steve. What do you run those nested discriminant analyses with? Hope all is well! Chris At 11:18 AM 8/21/2006, you wrote: Matthew, You may also want to do a nested discriminant analysis to determine whether the mean
R course
Apologies for cross-posting We would like to announce a 3-day R course in the UK. Full details can be found at: www.brodgar.com/statscourse.htm Kind regards, Alain Zuur Dr. Alain F. Zuur Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: [EMAIL PROTECTED] URL: www.highstat.com URL: www.brodgar.com Our statistics courses: 1. Analysing biological and environmental data using univariate methods. 2. Analysing biological and environmental data using multivariate methods 3. Analysing biological and environmental data using time series analysis 4. Analysing biological and environmental data using mixed modelling, GLMM and GAMM 5. An introduction to R Brodgar: Software for univariate and multivariate analysis and multivariate time series analysis Brodgar complies with R GNU GPL license Statistical consultancy, courses, data analysis and software
