[MARMAM] Using Google Earth Engine in Ecological Studies (GEEE01)
ONLINE COURSE – Using Google Earth Engine in Ecological Studies (GEEE01) https://www.prstats.org/course/using-google-earth-engine-in-ecological-studies-geee01/ 22nd - 26th July 2024 Please feel free to share! About this course; Google Earth Engine (GEE) is a cloud computing platform for processing satellite imagery and other geospatial and observational data. GEE is currently the most complete and efficient platform for performing remote sensing analysis, as it provides access to a large database of satellite imagery and the computational power needed to analyse these images. While other remote sensing programs require the user to have sufficient space and computing power available, all data and processes in GEE are done in the cloud through Googles infrastructure. GEE provides a code editor that works with JavaScript and Python. GEE is the future of remote sensing. This course will introduce attendees to open source data that can be used to help assist the conservation of marine mammals By the end of the course, participants should: Know the catalogue of spatial datasets provided by GEE. Know the most important satellite sensors for environmental studies in GEE. Know how to get remote sensing products from GEE. Process and develop new remote sensing (sub-)products in GEE. Classify satellite imagery in GEE. Perform different types of spatial analyses in satellite imagery in GEE. Email oliverhoo...@prstatistics.com with any questions. -- Oliver Hooker PhD. PR stats ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] The Practice of RADseq: Population Genomics Analysis with Stacks (RADS02)
PR statistics is running a course on population genomics, this course is suitable for anyone studying population genomics in marine mammal populations. The skills learned are transferable across all taxa. Please email oliverhoo...@prstatistics.com with any questions. The Practice of RADseq: Population Genomics Analysis with Stacks (RADS02) <https://www.prstatistics.com/course/the-practice-of-radseq-population-genomics-analysis-with-stacks-rads02/> https://www.prstatistics.com/course/the-practice-of-radseq-population-genomics-analysis-with-stacks-rads02/ 2nd - 6th October 2023, 09:00-16:00 CDT (Central Daylight Time), however all sessions will be recorded and made available daily allowing attendees from different time zones to follow. Cost Early bird - book before 18th September £350.00 Normal - book after 18th September £450.00 Delivered by Dr Julian Catchen <https://catchenlab.life.illinois.edu/> Please feel free to share! About This Course This course is aimed at introducing researchers to the theory and practice of using reduced representation libraries – such as RAD sequencing – to preform population genomic analysis in non-model organisms. The course will center on running the software pipeline Stacks, focusing on how the characteristics of the underlying molecular libraries result in weak or robust analytical results. Sessions will be live online, consisting of a blend of lectures, interactive demonstrations, and lab practicals, where participants will have the opportunity to ask questions throughout. Computation will be done on the Amazon AWS Cloud. By the end of the course, participants should be able to: - Navigate the UNIX file system, execute commands, and interact with bioinformatic data files; - Understand how to perform a de novo analysis – without a reference genome – including parameter optimization; - Understand how PCR duplicates and other molecular library characteristics affect analysis; - Complete a reference genome-based analysis; - Take the outputs from Stacks to complete a Structure analysis (de novo), a genome scan based on FST(reference-based), and a private allele analysis. Please email oliverhoo...@prstatistics.com -- Oliver Hooker PhD. PR statistics ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] ONLINE COURSE – Introduction to Aquatic Acoustic Telemetry (IAAT02)
I thought this m9ght be of interest to any group members who are using aquatic acoustic telemetry in their marine mammal studies/research. *ONLINE COURSE – Introduction to Aquatic Acoustic Telemetry (IAAT02)* https://www.prstatistics.com/course/online-course-introduction-to-aquatic-acoustic-telemetry-iaat02/ Monday, October 3rd, 2022 COURSE DETAILS Acoustic telemetry is a popular method for monitoring the movements and behaviour of aquatic animals globally. Increasingly smaller tags along with improvements in battery technology have allowed for tagging a wide variety of species and life stages, enabling monitoring of individuals as small as salmon smolts and as large as whale sharks for periods from 30 days to 10 years. In addition, with more and more tag sensor and environmental monitoring options available, telemetry datasets are becoming richer, allowing researchers to answer increasingly complex questions about why animals move where and when they do. Receiver technology also continues to evolve and increasingly allows for data to be collected at finer spatial and temporal scales than ever before. New technologies such as gliders and real-time detection systems allow broad geographic coverage and remote, real-time access to animal movement data. Additional advancements in built-in acoustic array diagnostics permit increasingly detailed analyses of system performance over time, resulting in more robust interpretation of animal movement data. In this course you will learn about the different types of Innovasea acoustic telemetry technologies and their applicability for use in different study environments and in answering different research questions. Example applications that will be discussed include: monitoring fine-scale movements and behaviour around barriers and other structures, migration survival studies around barriers, monitoring spawning and other seasonal behaviours, real-time monitoring, home range and Marine Protected Area studies, habitat selection, species interactions, and investigating causes of mortality. This section will include a deep dive into the logistics of fine-scale positioning studies and will provide an overview of the different types of analyses that are commonly performed with positional data. A robust telemetry study design that accounts for the advantages and limitations of different equipment options is critical to ensure a successful study. During this course, you will learn about important study design considerations such as appropriate hardware models and tag programming parameters for your study objectives, tag attachment considerations, and how to optimize your receiver placements through early and thorough testing. We will analyze an example range test dataset and discuss the implications of range test results on array design. We will also review considerations when designing moorings for your particular study environment. To ensure successful execution of your telemetry study plan and the highest quality data, it’s important to use telemetry best practices when preparing for and during tagging and deployment. We will review best practices for acoustic telemetry equipment maintenance and care, pre-deployment testing, tips for preparing equipment and data logs, and how to test your array once deployed in the field. We will also look at how to monitor the performance of your telemetry array throughout the duration of your study, reviewing what metrics are best used to determine whether the array is operating as planned so you can have confidence in the data being collected. Finally, because interpretation of acoustic telemetry data and inferring animal behaviour from these data is often confounded by array performance questions, this course will teach you techniques for assessing system performance to aid in the correct interpretation of animal detection data. Finally, since telemetry datasets are growing larger all of the time, data management is becoming increasingly challenging. During this course you will learn about data management best practices and tools to perform basic quality assurance, basic visualizations, and basic filtering of large datasets in preparation for statistical analyses. You will also have the opportunity to discuss your own telemetry studies with the experts during a QA session on the final day of the course. Bring your data and your questions! Please email any questions to oliverhoo...@prstatsitcis.com -- Oliver Hooker PhD. PR statistics ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] ONLINE COURSE – Bioacoustics For Ecologists: Hardware, Survey design And Data analysis (BIAC03)
to the COVID pandemic has allowed us to archive all our previous courses and offer them in a recorded format. *This is ideal for;* People with busy schedules who can’t take long periods off work to attend workshops. Allows attendees to work at their own pace with email support. Suitable for people from all timezones. The recordings are taken from our Live Online Courses which ensures all materials and software packages are constantly up-to-date. -- Oliver Hooker PhD. PR statistics ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] ONLINE COURSE - Model-based multivariate analysis of abundance data using R (MBMV03) This course will be delivered live
ONLINE COURSE Model-based multivariate analysis of abundance data using R (MBMV03) This course will be delivered live We have a repeat of a great course delivered by David Warton on abundance/presence/absence data. This course is great for people working with marine mammal data which may often have large gaps in mammal sightings or consist of only a few data points. For more details visits https://www.prstatistics.com/course/model-based-multivariate-analysis-of-abundance-data-using-r-mbmv03/ Course Overview: This course will provide an introduction to modern multivariate techniques, with a special focus on the analysis of abundance or presence/absence data. Multivariate analysis in ecology has been changing rapidly in recent years, with a focus now on formulating a statistical model to capture key properties of the observed data, rather than transformation of data using a dissimilarity-based framework. In recent years, model-based techniques have been developed for hypothesis testing, identifying indicator species, ordination, clustering, predictive modelling, and use of species traits as predictors to explain interspecific variation in environmental response. These techniques are more interpretable than alternatives, have better statistical properties, and can be used to address new problems, such as the prediction of a species’ spatial distribution from its traits alone. email oliverhoo...@prstatistics.com with any enquiries or to request different payment options Introduction to statistics using R and Rstudio (IRRS02) 28 October 2020 - 29 October 2020 https://www.prstatistics.com/course/introduction-to-statistics-using-r-and-rstudio-irrs02/ Species distribution modelling with Bayesian statistics in R (SDMB01) 9 November 2020 - 13 November 2020 https://www.prstatistics.com/course/species-distribution-modelling-with-bayesian-statistics-in-r-sdmb01/ Introduction to Bayesian modelling with INLA (BMIN01) 9 November 2020 - 13 November 2020 https://www.prstatistics.com/course/introduction-to-bayesian-modelling-with-inla-bmin01/ Introduction to generalised linear models using R and Rstudio (IGLM02) 18 November 2020 - 19 November 2020 https://www.prstatistics.com/course/introduction-to-generalised-linear-models-using-r-and-rstudio-iglm02/ Fundamentals of populations genetics using R (FOPG01) 18 November 2020 - 27 November 2020 https://www.prstatistics.com/course/fundamentals-of-populations-genetics-using-r-fopg01/ Introduction to mixed models using R and Rstudio (IMMR03) 25 November 2020 - 26 November 2020 https://www.prstatistics.com/course/introduction-to-mixed-models-using-r-and-rstudio-immr03/ Introduction to Python (PYIN01) 25 November 2020 - 26 November 2020 https://www.prstatistics.com/course/introduction-to-python-pyin01/ Bayesian hierarchical modelling using R (IBHM05) 27 November 2020 - 11 December 2020 https://www.prstatistics.com/course/bayesian-hierarchical-modelling-using-r-ibhm05/ Meta-analysis in ecology, evolution and environmental sciences (METR01) 30 November 2020 - 4 December 2020 https://www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and-environmental-sciences-metr01/ Introduction to Python for Scientific Computing (PYSC01) 2 December 2020 - 3 December 2020 https://www.prstatistics.com/course/introduction-to-python-for-scientific-computing-pysc01/ Machine Learning and Deep Learning using Python (PYML01) 9 December 2020 - 10 December 2020 https://www.prstatistics.com/course/machine-learning-and-deep-learning-using-python-pyml01/ Structural Equation Modelling for Ecologists and Evolutionary Biologists (SEMR03) This course will be delivered live 18th January 2021 - 22nd January 2021 https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr03/ Species Distribution Modeling using R (SDMR03) 25th January 2021 - 29th January 2021 https://www.prstatistics.com/course/species-distribution-modeling-using-r-sdmr03/ Advanced Ecological Niche Modelling Using R (ANMR01) 25th January 2021 - 29th January 2021 https://www.prstatistics.com/course/advanced-ecological-niche-modelling-using-r-anmr01/ -- Oliver Hooker PhD. PR statistics 2020 publications; Parallelism in eco-morphology and gene expression despite variable evolutionary and genomic backgrounds in a Holarctic fish. PLOS GENETICS (2020). IN PRESS www.PRstatistics.com facebook.com/PRstatistics/ twitter.com/PRstatistics 53 Morrison Street Glasgow G5 8LB +44 (0) 7966500340 +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] ONLINE COURSE Species distribution modelling with Bayesian statistics in R (SDMB01) This course will be delivered live
ONLINE COURSE Species distribution modelling with Bayesian statistics in R (SDMB01) This course will be delivered live https://www.prstatistics.com/course/species-distribution-modelling-with-bayesian-statistics-in-r-sdmb01/ Course Overview: Bayesian Additive Regression Trees (BART) are a powerful machine learning technique with very promising potential applications in ecology and biogeography in general, and in species distribution modelling (SDM) in particular. Becasue BART models can generally provide a well-balanced performance regarding both main aspects of predictive accuracy, namely discrimination (i.e. distinguishing presence from absence localities) and calibration (i.e., having predicted probabilities reflect the species’ gradual occurrence frequencies) they are an effective method for handling marine mammal data. BART can generate accurate predictions without overfitting to noise or to particular cases in the data. As it is a cutting-edge technique in this field, BART is not yet routinely included in SDM workflows or in ensemble modelling packages. This course will include 1) an introduction or refresher on the essentials of the R language; 2) an introduction or refresher on species distribution modelling; 3) an overview of SDM methods of different complexity, including regression-based and machine-learning (both Bayesian and non-Bayesian) methods; 4) SDM building and block cross-validation focused on different aspects of model performance, including discrimination, classification, and calibration or reliability. We will use R packages ’embarcadero’, ‘fuzzySim’ and ‘modEvA’ to see how BART can perform well when all these aspects are equally important, as well as to identify relevant predictors, map prediction uncertainty, plot partial dependence curves with credible intervals, and map relative favourability regarding combined or individual predictors. Students will apply all these techniques to their own species distribution data, or to example data that will be provided during the course. email oliverhoo...@prstatistics.com with any enquiries or to request different payment options Introduction to statistics using R and Rstudio (IRRS02) 28 October 2020 - 29 October 2020 https://www.prstatistics.com/course/introduction-to-statistics-using-r-and-rstudio-irrs02/ Species distribution modelling with Bayesian statistics in R (SDMB01) 9 November 2020 - 13 November 2020 https://www.prstatistics.com/course/species-distribution-modelling-with-bayesian-statistics-in-r-sdmb01/ Introduction to Bayesian modelling with INLA (BMIN01) 9 November 2020 - 13 November 2020 https://www.prstatistics.com/course/introduction-to-bayesian-modelling-with-inla-bmin01/ Introduction to generalised linear models using R and Rstudio (IGLM02) 18 November 2020 - 19 November 2020 https://www.prstatistics.com/course/introduction-to-generalised-linear-models-using-r-and-rstudio-iglm02/ Fundamentals of populations genetics using R (FOPG01) 18 November 2020 - 27 November 2020 https://www.prstatistics.com/course/fundamentals-of-populations-genetics-using-r-fopg01/ Introduction to mixed models using R and Rstudio (IMMR03) 25 November 2020 - 26 November 2020 https://www.prstatistics.com/course/introduction-to-mixed-models-using-r-and-rstudio-immr03/ Introduction to Python (PYIN01) 25 November 2020 - 26 November 2020 https://www.prstatistics.com/course/introduction-to-python-pyin01/ Bayesian hierarchical modelling using R (IBHM05) 27 November 2020 - 11 December 2020 https://www.prstatistics.com/course/bayesian-hierarchical-modelling-using-r-ibhm05/ Meta-analysis in ecology, evolution and environmental sciences (METR01) 30 November 2020 - 4 December 2020 https://www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and-environmental-sciences-metr01/ Introduction to Python for Scientific Computing (PYSC01) 2 December 2020 - 3 December 2020 https://www.prstatistics.com/course/introduction-to-python-for-scientific-computing-pysc01/ Machine Learning and Deep Learning using Python (PYML01) 9 December 2020 - 10 December 2020 https://www.prstatistics.com/course/machine-learning-and-deep-learning-using-python-pyml01/ Structural Equation Modelling for Ecologists and Evolutionary Biologists (SEMR03) This course will be delivered live 18th January 2021 - 22nd January 2021 https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr03/ Species Distribution Modeling using R (SDMR03) 25th January 2021 - 29th January 2021 https://www.prstatistics.com/course/species-distribution-modeling-using-r-sdmr03/ Advanced Ecological Niche Modelling Using R (ANMR01) 25th January 2021 - 29th January 2021 https://www.prstatistics.com/course/advanced-ecological-niche-modelling-using-r-anmr01/ -- Oliver Hooker PhD. PR statistics 2020 publications; Parallelism in eco-morphology and gene expression despite variable evolutionary and genomic backgrounds in a Holarctic fish
[MARMAM] ONLINE COURSE – Introduction to R for ecologists and evolutionary biologists (IRFB04) This course will be delivered live
ONLINE COURSE – Introduction to R for ecologists and evolutionary biologists (IRFB04) This course will be delivered live 23 June 2020 - 24 June 2020 https://www.prstatistics.com/course/introduction-to-r-for-ecologists-and-evolutionary-biologists-irfb04/ Course overview: The 2 day course will consist of a series of modules designed to build required R skills and statistical understanding to develop yourself or move on to more advanced courses. The skills learnt are very suited to handling and analysing many types of data frequently encountered in the field of marine mammals. At its conclusion, participants will have acquired basic skills in coding with R, and will be able to perform and interpret simple analyses, and critically evaluate similar analyses from the scientific literature and technical reports. All example datasets used for practical’s will have an ecological and evolutionary theme Any questions please email oliverhoo...@prstatistics.com Upcoming courses ONLINE COURSE – Introduction to R for ecologists and evolutionary biologists (IRFB04) This course will be delivered live 23 June 2020 - 24 June 2020 https://www.prstatistics.com/course/introduction-to-r-for-ecologists-and-evolutionary-biologists-irfb04/ ONLINE COURSE – Reproducible Data Science using RMarkdown, Git, R packages, Docker, Make & Drake, and other tools (RDRP01) This course will be delivered live 29 June 2020 - 3 July 2020 https://www.psstatistics.com/course/reproducible-data-science-and-r-package-design-rdrp01/ ONLINE COURSE – Applied Bayesian modelling for ecologists and epidemiologists (ABME06) This course will be delivwered live 20 July 2020 - 24 July 2020 https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme06/ ONLINE COURSE – Introduction to generalised linear models using R and Rstudio (IGLM01) This course will be delivered live 23 July 2020 - 24 July 2020 https://www.psstatistics.com/course/introduction-to-generalised-linear-models-using-r-and-rstudio-iglm01/ ONLINE COURSE – Species Distribution Modeling using R (SDMR02) This course will be delivered live 27 July 2020 - 30 July 2020 https://www.prstatistic s.com/course/species-distribution-modeling-using-r-sdmr02/ ONLINE COURSE – Introduction to mixed models using R and Rstudio (IMMR02) This course will be delivered live 6 August 2020 - 7 August 2020 https://www.psstatistics.com/course/introduction-to-mixed-models-using-r-and-rstudio-immr02/ ONLINE COURSE – Data visualization using GG plot 2 (R and Rstudio) (DVGG01) This course will be delivered live 20 August 2020 - 21 August 2020 https://www.psstatistics.com/course/introduction-to-data-visualization-using-gg-plot-2-r-and-rstudio-dvgg01/ ONLINE COURSE – Data wrangling using R and Rstudio (DWRS01) This course will be delivered live 3 September 2020 - 4 September 2020 https://www.psstatistics.com/course/introduction-data-wrangling-using-r-and-rstudio-dwrs01/ ONLINE COURSE – Fundamentals of populations genetics using R (FOPG01) This course will be delivered live 14 September 2020 - 18 September 2020 https://www.prstatistics.com/course/fundamentals-of-populations-genetics-using-r-fopg01/ Advanced Ecological Niche Modelling Using R (ANMR01) 12 October 2020 - 16 October 2020 https://www.prstatistics.com/course/advanced-ecological-niche-modelling-using-r-anmr01/ -- Oliver Hooker PhD. PR statistics 2020 publications; Parallelism in eco-morphology and gene expression despite variable evolutionary and genomic backgrounds in a Holarctic fish. PLOS GENETICS (2020). IN PRESS www.PRstatistics.com facebook.com/PRstatistics/ twitter.com/PRstatistics 53 Morrison Street Glasgow G5 8LB +44 (0) 7966500340 +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] ONLINE COURSE – Python for data science, machine learning, and scientific computing
features of Python not yet covered. These include exception handling, list and dictionary comprehensions, itertools, advanced collection types including defaultdict, anonymous functions, decorators, etc. Wednesday 6th – Classes from 09:30 to 17:30 • Topic 10: Jupyter notebooks and Jupyterlab. Although we have already introduced Jupyter notebooks, here we will explore them properly. Jupyter notebooks are reproducible and interactive computing environment that support numerous programming languages, although Python remains the principal language used in Jupyter notebooks. Here, we’ll explore their major features and how they can be shared easily using GitHub and Binder. • Topic 11: Data Visualization. Python provides many options for data visualization. The matplotlib library is a low level plotting library that allows for considerable control of the plot, albeit at the price of a considerable amount of low level code. Based on matplotlib, and providing a much higher level interface to the plot, is the seaborn library. This allows us to produce complex data visualizations with a minimal amount of code. Similar to seaborn is ggplot, which is a direct port of the widely used R based visualization library. In this section, we will also consider a set of other visualization libraries for Python. These include plotly, bokeh, and altair. • Topic 12: Symbolic mathematics. Symbolic mathematics systems, also known as computer algebra systems, allow us to algebraically manipulate and solve symbolic mathematical expression. In Python, the principal symbolic mathematics library is sympy. This allows us simplify mathematical expressions, compute derivatives, integrals, and limits, solve equations, algebraically manipulate matrices, and more. • Topic 13: Statistical data analysis. In this section, we will describe how to perform widely used statistical analysis in Python. Here we will start with the statsmodels package, which provides linear and generalized linear models as well as many other widely used statistical models. We will also introduce the scikit-learn package, which we will more widely use on Day 4, and use it for regression and classification analysis. Thursday 7th – Classes from 09:30 to 17:30 • Topic 14: Machine learning. Python is arguably the most widely used language for machine learning. In this section, we will explore some of the major Python machine learning tools that are part of the scikit-learn package. This section continues our coverage of this package that began in Topic 12 on Day 3. Here, we will cover machine learning tools such as support vector machines, decision trees, random forests, k-means clustering, dimensionality reduction, model evaluation, and cross-validation. • Topic 15: Neural networks and deep learning. A popular subfield of machine learning involves the use of artificial neural networks and deep learning methods. In this section, we will explore neural networks and deep learning using the keras library, which is a high level interface to neural network and deep learning libraries such as Tensorflow, Theano, or the Microsoft Cognitive Toolkit (CNTK). Examples that we will consider here include image classification and other classification problems taken from, for example, the UCI Machine Learning Repository. Friday 8th – Classes from 09:30 to 16:00 • Topic 16: Bayesian models. Two probabilistic programming languages for Bayesian modelling in Python are PyMC3 and PyStan. PyMC3 is a Python native probabilistic programming language, while PyStan is the Python interface to the Stan programming language, which is also very widely used in R. Both PyMC3 and PyStan are extremely powerful tools and can implement arbitrary probabilistic models. Here, we will not have time to explore either in depth, but will be able to work through a number of nontrivial examples, which will illustrate the general feature and usage of both languages. • Topic 17: High performance Python. The final topic that we will consider in this course is high performance computing with Python. While many of the tools that we considered above extremely quickly because they interface with compiled code written in C/C++ or Fortran, Python itself is a high level dynamically typed and interpreted programming language. As such, native Python code does not execute as fast as compiled languages such as C/C++ or Fortran. However, it is possible to achieve compiled language speeds in Python by compiling Python code. Here, we will consider Cython and Numba, both of which allow us achieve C/C++ speeds in Python with minimal extensions to our code. Also, in this section, we will consider parallelization in Python, in particular using IPyParallel and Dask, both of which allow easy parallel and distributed processing using Python. -- Oliver Hooker PhD. PS statistics 2020 publications; Parallelism in eco-morphology and gene expression despite variable evolutionary and genomic backgrounds in a Holarctic fish. PLOS GENETICS (2020
[MARMAM] ONLINE COURSE – Introduction to Bayesian hierarchical modelling using R (IBHM04) This course will be delivered live
ONLINE COURSE – Introduction to Bayesian hierarchical modelling using R (IBHM04) This course will be delivered live This course will be delivered via video link from the 21st-24th April In light of travel restrictions due to the COVID-19 (Coronavirus) outbreak this course will now be delivered live by video link. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. Course Overview: This course will cover introductory hierarchical modelling for real-world data sets from a Bayesian perspective. These methods lie at the forefront of statistics research and are a vital tool in the scientist’s toolbox, especially in the analysis of complex data sets such as those encountered in the study of marine mammals where the collection of multiple and auto-correlating environmental variables is unavoidable. The course focuses on introducing concepts and demonstrating good practice in hierarchical models. All methods are demonstrated with data sets which participants can run themselves. Participants will be taught how to fit hierarchical models using the Bayesian modelling software Jags and Stan through the R software interface. The course covers the full gamut from simple regression models through to full generalised multivariate hierarchical structures. A Bayesian approach is taken throughout, meaning that participants can include all available information in their models and estimates all unknown quantities with uncertainty. Participants are encouraged to bring their own data sets for discussion with the course tutors. - Please not we will also be offering the following online; 1) Python for data science, machine learning, and scientific computing (PDMS02) 4th-8th May > www.psstatistics.com/course/python-for-data-science-machine-learning-and-scientific-computing- pdms02/ 2) Generalised Linear (MIXED) (GLMM), Nonlinear (NLGLM) And General Additive Models (MIXED) (GAMM) (GNAM01) 25th-29th May > www.psstatistics.com/course/generalised-linear-glm-nonlinear-nlglm-and-general-additive-models-gam- gnam02/ 3) Reproducible Data Science and R Package Design (RDRP01) 29th June - 3rd July > www.psstatistics.com/course/reproducible-data-science-and-r-package-design-rdrp01/ - Course Overview: This course will cover introductory hierarchical modelling for real-world data sets from a Bayesian perspective. These methods lie at the forefront of statistics research and are a vital tool in the scientist’s toolbox. The course focuses on introducing concepts and demonstrating good practice in hierarchical models. All methods are demonstrated with data sets which participants can run themselves. Participants will be taught how to fit hierarchical models using the Bayesian modelling software Jags and Stan through the R software interface. The course covers the full gamut from simple regression models through to full generalised multivariate hierarchical structures. A Bayesian approach is taken throughout, meaning that participants can include all available information in their models and estimates all unknown quantities with uncertainty. Participants are encouraged to bring their own data sets for discussion with the course tutors. Course Programme Tuesday 21st – Classes from 09:00 to 17:00 Module 1: Introduction to Bayesian Statistics Module 2: Linear and generalised linear models (GLMs) Practical: Using R, Jags and Stan for fitting GLMs Wednesday 22nd – Classes from 09:00 to 17:00 Module 3: Simple hierarchical regression models Module 4: Hierarchical models for non-Gaussian data Practical: Fitting hierarchical models Thursday 23rd – Classes from 09:00 to 17:00 Module 5: Hierarchical models vs mixed effects models Module 6: Multivariate and multi-layer hierarchical models Practical: Advanced examples of hierarchical models Friday 24th – Classes from 09:00 to 17:00 Module 7: Shrinkage and variable selection Module 8: Hierarchical models and partial pooling Practical: Shrinkage modelling Please email oliverhoo...@psstatistics.com with any questions. Oliver Hooker PhD. PR statistics 2020 publications; Parallelism in eco-morphology and gene expression despite variable evolutionary and genomic backgrounds in a Holarctic fish. PLOS Genetics (in press) (2020). www.PSstatistics.com <http://www.psstatistics.com/> 53 Morrison Street Glasgow G5 8LB +44 (0) 7966500340 -- Oliver Hooker PhD. PS statistics -- Oliver Hooker PhD. PS statistics 2019 publications; A way forward with eco evo devo: an extended theory of resource polymorphism with postglacial fishes as model systems. Biological Reviews (2019). www.PSstatistics.com facebook.com/PSstatistics/ twitter.com/PSstatisti
[MARMAM] R 4 ALL - Introductory course to R, RStudio and statistics for Biologists FREE ACCOMMODATION AVAILABLE
R 4 ALL - An introductory course to R, RStudio and statistics for Biologists (Andrew Beckerman & Dylan Childs) (R4LL01) FREE ACCOMMODATION AVAILABLE https://www.prstatistics.com/course/r-4-all-andrew-beckerman-dylan-childs-r4ll01/ This course is idea for any marine mammal researchers who want to start using R to analyze their data. This course will be delivered by Dr Andrew Beckerman and Dr Dylan Childs, authors of the best selling book “Getting Started with R, An Introduction for Biologists” from the 20th-24th January in Glasgow City Centre. FREE ACCOMMODATION is available for people working in academia and for non-profit organisations. PR Statistics has partnered with R4ALL (www.r4all.org) to offer an introductory course to R, RStudio and statistics for Biologists. Based on their best-selling book, “Getting Started with R, An Introduction for Biologists”, this course provides training in the R statistical and programming language for data management, visualisation, and analysis. The R4All team, with more than 20 years experience delivering this course, will boost you up the initial learning curve, streamline your data management and analysis workflows, and give youR 4 ALL scalable solutions. You will develop and take away robust and repeatable workflows for visualisation and statistical analyses, ranging from t-tests and ANOVA to generalised linear models and mixed effects models. For more details or to request an invoice please email oliverhoo...@prstatistics.com or use the link to book via our website. -- Oliver Hooker PhD. PR statistics 2019 publications; A way forward with eco evo devo: an extended theory of resource polymorphism with postglacial fishes as model systems. Biological Reviews (2019). prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 53 Morrison Street Glasgow G5 8LB +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] Geostatistics (held in Canada) – Handling Spatial and Spatial-temporal data Using R (GSFE01)
(R4ALL Glasgow, Scotland, Dr Andrew Beckerman, Dr. Dylan Childs https://www.prstatistics.com/course/r-4-all-andrew-beckerman-dylan-childs-r4ll01/ 6. February 3rd – 7th 2020 INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (ISPE02) Glasgow, Scotland, Dr. Jakub Nowosad https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-ecological-data-using-r-ispe02/ 7. February 24th – 28TH 2020 MOVEMENT ECOLOGY (MOVE03) Margam Discovery Centre, Wales, Dr. Luca Borger, Dr Jonathan Potts https://www.prstatistics.com/course/movement-ecology-move03/ 8. March 16th – 20th 2020 POPULATION GENETICS INFERENCE WITH ‘MIGRATE’ (PGMG01) Glasgow, Scotland, Prof. Peter Beerli https://www.prstatistics.com/course/population-genetics-inference-with-migrate-pgmg01/ 9. May 11th – 15th 2020 FORMALIZING UNCERTAINTY: FUZZY LOGIC IN SPECIES DISTRIBUTION AND DIVERSITY PATTERNS (FLDM01) Glasgow, Scotland, Dr. Marcia Barbosa https://www.prstatistics.com/course/formalizing-uncertainty-fuzzy-logic-in-species-distribution-and-diversity-patterns-fldm01/ 10.May 18th – 22nd 2020 STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (SEMR02) Glasgow, Scotland, Dr. Jonathan Lefcheck, Dr. Jim (ames) Grace https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr02/ 11.October 5th – 9th 2020 ECOLOGICAL NICHE MODELLING USING R (ENMR04) Glasgow, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr04/ 12.October 11th – 16th 2020 ADVANCED ECOLOGICAL NICHE MODELLING USING R (ABNMR01) Glasgow, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/advanced-ecological-niche-modelling-using-r-anmr01/ -- Oliver Hooker PhD. PR statistics 2019 publications; A way forward with eco evo devo: an extended theory of resource polymorphism with postglacial fishes as model systems. Biological Reviews (2019). prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] SEPTEMBER STATISTICS, BIOINFORMATICS AND DATA SCIENCE
SEPTEMBER STATISTICS, BIOINFORMATICS AND DATA SCIENCE COURSES FOR BIOLOGISTS AND PSYCHOLOGISTS. Most courses are multidisciplinary and will be of relevance to a range of research areas related to marine mammals. Free accommodation packages available with early registration! Please ask about free accommodation if you are a full time student. Please share. - R Package design and development and reproducible data science for biologists (RPKG01) 16 SEPTEMBER 2019 - 20 SEPTEMBER 2019 https://www.prstatistics.com/course/r-package-design-and-development-and-reproducible-data-science-for-biologists-rpkg01/ - Structural Equation Models, Path Analysis, Causal Modelling and Latent Variable Models Using R 16 SEPTEMBER 2019 - 20 SEPTEMBER 2019 https://www.psstatistics.com/course/structural-equation-modelling-and-path-analysis-smpa01/ The Practice of RADseq: Population Genomics Analysis with Stacks (RDSQ01) 23 SEPTEMBER 2019 - 27 SEPTEMBER 2019 https://www.prinformatics.com/course/the-practice-of-radseq-population-genomics-analysis-with-stacks-rdsq01/ Python for data science, machine learning, and scientific computing (PDMS01) 23 SEPTEMBER 2019 - 27 SEPTEMBER 2019 https://www.psstatistics.com/course/python-for-data-science-machine-learning-and-scientific-computing-pdms01/ --- Introduction to Bioinformatics using Linux (IBUL04) 30 SEPTEMBER 2019 - 4 OCTOBER 2019 https://www.prinformatics.com/course/introduction-to-linux-workflows-for-biologists-ibul04/ -- Oliver Hooker PhD. PR statistics 2019 publications; A way forward with eco evo devo: an extended theory of resource polymorphism with postglacial fishes as model systems. Biological Reviews (2019). prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] R Package design and development and reproducible data science for biologists - FREE ACCOMMODATION
(RPKG01) Glasgow, Scotland, Dr. Cory Merow, Dr. Andy Rominger https://www.prstatistics.com/course/r-package-design-and-development-and-reproducible-data-science-for-biologists-rpkg01/ 5. September 23rd – 27th 2019 PYTHON FOR DATA SCIENCE, MACHINE LEARNING, AND SCIENTIFIC COMPUTING (PDMS01) Glasgow, Scotland, Dr. Mark Andrews https://www.psstatistics.com/course/python-for-data-science-machine-learning-and-scientific-computing-pdms01/ 6. September 30th – October 4th 2019 THE PRACTICE OF RADSEQ: POPULATION GENOMICS ANALYSIS WITH STACKS (RDSQ01) Glasgow, Scotland, Dr Julien Catchen https://www.prinformatics.com/course/the-practice-of-radseq-population-genomics-analysis-with-stacks-rdsq01/ 7. September 30th – October 4th 2019 INTRODUCTION TO LINUX WORKFLOWS FOR BIOLOGISTS (IBUL04) Glasgow, Scotland, Dr Martin Jones https://www.prinformatics.com/course/introduction-to-linux-workflows-for-biologists-ibul04/ 8. October 7th – 11th 2019 CONSERVATION PLANNING USING PRIORITIZR : FROM THEORY TO PRACTICE (PRTZ01) Athens, GREECE, Dr Richard Schuster and Nina Morell https://www.prstatistics.com/course/conservation-planning-using-prioritizr-from-theory-to-practice-prtz01/ 9. October 14th – 18th 2019 GEOMETRIC MORPHOMETRICS USING R (GMMR02) Glasgow, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr02/ 10. October 14th – 18th 2019 INTRODUCTION TO BEHAVIOURAL DATA ANALYSIS USINR R (IBDA01) Glasgow, Scotland, Dr Will Hoppitt https://www.psstatistics.com/course/introduction-to-behavioural-data-analysis-using-r-ibda01/ 11. October 21st – 25th 2019 MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE (VGNR01) Glasgow, Scotland, Dr. Guillaume Blanchet www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr01/ 12. November 4th – 8th 2019 INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL SCIENCES USING R AND STAN (BDRS02) Glasgow, Scotland, Dr. Mark Andrews https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-for-social-and-behavioural-sciences-using-r-and-stan-bdrs02/ 13. November 4th – 8th 2019 BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKELIHOOD (BDML02) Glasgow, Scotland, Dr Will Hoppitt https://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-likelihood-bdml02/ 14. November 11th – 15th 2019 APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME05) Glasgow, Scotland, Dr Matt Denwood, Emma Howard https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme05/ 15. November 18th – 22nd 2019 INTRODUCTION TO STRUCTURED POPULATION MODELS AND DEMOGRAPHIC DISTRIBUTION MODELS (IIPM01) Athens, GREECE, Dr Cory Merow https://www.prstatistics.com/course/introduction-to-structured-population-models-and-demographic-distribution-models-iipm01/ 16. November 18th – 22nd 2019 GEOSTATISTICS – HANDLING SPATIAL AND SPATIAL-TEMPORAL DATA USING R (GSFE01) Wimmipeg, CANADA, Dr Guillaume Blanchet https://www.prstatistics.com/course/geostatistics-handling-spatial-and-spatial-temporal-data-using-r-gsfe01/ 17. November 25th – 29th 2019 ADVANCED RANGE, NICHE, AND DISTRIBUTION MODELING (ASDM01) Athens, GREECE, Dr Cory Merow https://www.prstatistics.com/course/advanced-range-niche-and-distribution-modeling-asdm01/ 18. January 20th – 24th2020 R4ALL – INTRODUCTION TO R (R4ALL Glasgow, Scotland, Dr Andrew Beckerman, Dr. Dylan Childs https://www.prstatistics.com/course/population-genetics-inference-with-migrate-pgmg01/ 19. March 16th – 20th 2020 POPULATION GENETICS INFERENCE WITH ‘MIGRATE’ (PGMG01) Glasgow, Scotland, Prof. Peter Beerli https://www.prstatistics.com/course/population-genetics-inference-with-migrate-pgmg01/ 20. May 11th – 15th 2020 FORMALIZING UNCERTAINTY: FUZZY LOGIC IN SPECIES DISTRIBUTION AND DIVERSITY PATTERNS (FLDM01) Glasgow, Scotland, Dr. Marcia Barbosa https://www.prstatistics.com/course/formalizing-uncertainty-fuzzy-logic-in-species-distribution-and-diversity-patterns-fldm01/ 21. May 18th – 22nd 2020 STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (SEMR02) Glasgow, Scotland, Dr. Jonathan Lefcheck, Dr. Jim (james) Grace https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr02/ 22. October 5th – 9th 2020 ECOLOGICAL NICHE MODELLING USING R (ENMR04) Glasgow, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr04/ 23. October 11th – 16th 2020 ADVANCED ECOLOGICAL NICHE MODELLING USING R (ABNMR01) Glasgow, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/advanced-ecological-niche-modelling-using-r-anmr01/ -- Oliver Hooker PhD. PR statistics 2019 publications; A way forward with eco evo devo: an extended theory of resource polymorphism with postglacial fishes as model systems. Biological Reviews (2019
[MARMAM] PART-FUNDED SCHOLARSHIPS - Stable Isotope Mixing Models Using R
PART-FUNDED SCHOLARSHIPS - Stable Isotope Mixing Models Using R https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm05/ We have just had a late group cancellation for the above course. The institute involved in collaboration with PR statistics are using the cancellation fee to subsidise up to 10 places at 40% off reducing fees to £300 from £500.00 for this week long intensive course. This course will take place from June 10th – 14th in Glasgow City Centre and will be delivered by Dr. Andrew Parnell and Dr. Andrew Jackson who develop the SIAR, Mix SIAR R package. Applications should be sent to oliverhoo...@prstatistics.com and contain the following. 1. Full name 2. Institute name 3. PhD subject title or Post doc research questions 4. Do you hold a funded position 5. 150 words why this course would be relevant to your research or how it would help. Application deadline is Thursday 23rd May and decisions will be made by Friday 24th. We still have ‘normal’ places available for anyone else interested. Course overview: This course will cover the concepts, technical background and use of stable isotope mixing models (SIMMs) with a particular focus on running them in R. This course will cover the concepts, technical background and use of stable isotope mixing models (SIMMs) with a particular focus on running them in R. Recently SIMMs have become a very popular tool for quantifying food webs and thus the diet of predators and prey in an ecosystem. Starting with only basic understanding of statistical models, we will cover the do’s and don’ts of using SIMMs with a particular focus on the widely used package SIAR and the more advanced MixSIAR. Participants will be taught some of the advanced features of these packages, which will enable them to produce a richer class of output, and are encouraged to bring their own data sets and problems to study during the round-table discussions. -- Oliver Hooker PhD. PR statistics 2019 publications; A way forward with eco evo devo: an extended theory of resource polymorphism with postglacial fishes as model systems. Biological Reviews (2019). prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] Course on stable isotope analysis
6th 2019 APPLIED METHODS FOR ANALYSING CAPTURE-RECAPTURE (MARK-RECAPTURE) DATA USING SPATIALLY EXPLICIT AND NON-SPATIAL TECHNIQUES (MARK01) Glasgow, Scotland, Dr. Joanne Potts, Dr. David Borchers https://www.prstatistics.com/course/applied-methods-for-analysing-capture-recapture-mark-recapture-data-using-spatially-explicit-and-non-spatial-techniques-mark01/ 11.September 9th – 13th 2019 DATA SCIENCE/ANALYTICS USING PYTHON (DSAP01) Glasgow, Scotland, Dr. Mark Andrews https://www.psstatistics.com/course/data-science-analytics-using-python-dsap01/ 12.September 16th – 20th 2019 R PACKAGE DESIGN AND DEVELOPMENT AND REPRODUCIBLE DATA SCIENCE FOR BIOLOGISTS (RPKG01) Glasgow, Scotland, Dr. Cory Merow, Dr. Andy Rominger https://www.prstatistics.com/course/r-package-design-and-development-and-reproducible-data-science-for-biologists-rpkg01/ 13.September 16th – 20th 2019 STRUCTURAL EQUATION MODELLING AND PATH ANALYSIS (SMPA01) Glasgow, Scotland, Dr. Mark Andrews https://www.psstatistics.com/course/structural-equation-modelling-and-path-analysis-smpa01/ 14.September 23rd – 27th 2019 NONLINEAR REGRESSION AND GENERAL ADDITIVE MODELS (GAM’S) (NRGM01) Glasgow, Scotland, Dr. Mark Andrews https://www.psstatistics.com/course/nonlinear-regression-and-general-additive-models-gams-nrgm01/ 15. September 30th – October 4th 2019 GEOMETRIC MORPHOMETRICS USING R (GMMR02) Glasgow, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr02/ 16. October 7th – 11th 2019 CONSERVATION PLANNING USING PRIORITIZR : FROM THEORY TO PRACTICE (PRTZ01) Athens, GREECE, Dr Richard Schuster and Nina Morell https://www.prstatistics.com/course/conservation-planning-using-prioritizr-from-theory-to-practice-prtz01/ 17. October 14th – 18th 2019 INTRODUCTION TO BEHAVIOURAL DATA ANALYSIS USINR R (IBDA01) Glasgow, Scotland, Dr Will Hoppitt https://www.psstatistics.com/course/introduction-to-behavioural-data-analysis-using-r-ibda01/ 18. November 4th – 8th 2019 Glasgow, Scotland, Dr. Mark Andrews INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL SCIENCES USING R AND STAN (BDRS02) https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-for-social-and-behavioural-sciences-using-r-and-stan-bdrs02/ 19. November 4th – 8th 2019 BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKELIHOOD (BDML01) Glasgow, Scotland, Dr Will Hoppitt https://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-likelihood-bdml02/ 20. November 11th – 15th 2019 APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME05) Glasgow, Scotland, Dr Matt Denwood, Emma Howard https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme05/ 21. November 18th – 22nd 2019 INTRODUCTION TO STRUCTURED POPULATION MODELS AND DEMOGRAPHIC DISTRIBUTION MODELS (IIPM01) Athens, GREECE, Dr Cory Merow https://www.prstatistics.com/course/introduction-to-structured-population-models-and-demographic-distribution-models-iipm01/ 22. November 25th – 29th 2019 ADVANCED RANGE, NICHE, AND DISTRIBUTION MODELING (ASDM01) Athens, GREECE, Dr Cory Merow https://www.prstatistics.com/course/advanced-range-niche-and-distribution-modeling-asdm01/ -- Oliver Hooker PhD. PR statistics 2019 publications; A way forward with eco evo devo: an extended theory of resource polymorphism with postglacial fishes as model systems. Biological Reviews (2019). prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 <https://www.avast.com/sig-email?utm_medium=email_source=link_campaign=sig-email_content=webmail> Virus-free. www.avast.com <https://www.avast.com/sig-email?utm_medium=email_source=link_campaign=sig-email_content=webmail> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] Introduction to GIS and spatial analysis with R (GISR01)
w.prstatistics.com/course/spatial-modelling-and-analysis-of-adaptive-genomic-variation-spgn01/ 13. June 17th – 21st 2019 INTRODUCTION TO PYTHON FOR BIOLOGISTS (IPYB06) Glasgow, Scotland, Dr. Martin Jones http://www.prinformatics.com/course/introduction-to-python-for-biologists-ipyb06/ 14. June 24th – 28th 2019 MICROBIOME DATA ANALYSIS USING QIIME2 (MBQM01) Glasgow, Scotland, Dr. Yoshiki Vazquez Baeza, Dr. Antonio Gonzalez Pena https://www.prinformatics.com/course/microbiome-data-analysis-using-qiime2-mbqm01/ 15. June 24th – 28th 2019 ADVANCED PYTHON FOR BIOLOGISTS (APYB03) Glasgow, Scotland, Dr. Martin Jones www.prinformatics.com/course/advanced-python-biologists-apyb03/ 16. July 1st – 5th 2019 BIOACOUSTICS FOR ECOLOGISTS: HARDWARE, SURVEY DESIGN AND DATA ANALYSIS (BIAC01) Glasgow, Scotland, Dr. Paul Howden-Leach https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-survey-design-and-data-analysis-biac01/ 17. July 1st – 5th 2019 DATA VISUALISATION AND MANIPULATION USING PYTHON (DVMP01) Glasgow, Scotland, Dr. Martin Jones http://www.prinformatics.com/course/data-visualisation-and-manipulation-using-python-dvmp01/ 18. July 8th – 12th 2019 INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING USING R (IBHM03) Glasgow, Scotland, Dr. Andrew Parnell https://www.psstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm03/ 19. July 29th – August 2nd 2019 INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (ISPE01) Glasgow, Scotland, Dr. Jakub Nowosad https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-ecological-data-using-r-ispe01/ 20. September 2nd – 6th 2019 APPLIED METHODS FOR ANALYSING CAPTURE-RECAPTURE (MARK-RECAPTURE) DATA USING SPATIALLY EXPLICIT AND NON-SPATIAL TECHNIQUES (MARK01) Glasgow, Scotland, Dr. Joanne Potts, Dr. David Borchers https://www.prstatistics.com/course/applied-methods-for-analysing-capture-recapture-mark-recapture-data-using-spatially-explicit-and-non-spatial-techniques-mark01/ 21. September 16th – 20th 2019 R PACKAGE DESIGN AND DEVELOPMENT AND REPRODUCIBLE DATA SCIENCE FOR BIOLOGISTS (RPKG01) Glasgow, Scotland, Dr. Cory Merow, Dr. Andy Rominger https://www.prstatistics.com/course/r-package-design-and-development-and-reproducible-data-science-for-biologists-rpkg01/ 22. September 30th – October 4th 2019 GEOMETRIC MORPHOMETRICS USING R (GMMR02) Glasgow, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr02/ 23. October 7th – 11th 2019 GENERAL ADDITIVE MODELS (GAM) AND MIXED MODELS (GAMM) (GAMM01) Glasgow, Scotland, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/general-additive-models-gam-and-mixed-models-gamm-gamm01/ 24. October 7th – 11th 2019 CONSERVATION PLANNING USING PRIORITIZR : FROM THEORY TO PRACTICE (PRTZ01) Athens, GREECE, Dr Richard Schuster and Nina Morell https://www.prstatistics.com/course/conservation-planning-using-prioritizr-from-theory-to-practice-prtz01/ 25. October 21st – 25th 2019 A COMPLETE GUIDE TO MIXED MODELS (INCLUDING TEMPORAL AND SPATIAL AUTOCORRELATION) (MMTS01) Athens, GREECE, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/a-complete-guide-to-mixed-models-including-temporal-and-spatial-autocorrelation-mmts01/ 26. November 11th – 15th 2019 APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME05) Glasgow, Scotland, Dr Matt Denwood, Emma Howard https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme05/ 27. November 18th – 22nd 2019 INTRODUCTION TO STRUCTURED POPULATION MODELS AND DEMOGRAPHIC DISTRIBUTION MODELS (IIPM01) Athens, GREECE, Dr Cory Merow https://www.prstatistics.com/course/introduction-to-structured-population-models-and-demographic-distribution-models-iipm01/ 28. November 25th – 29th 2019 ADVANCED RANGE, NICHE, AND DISTRIBUTION MODELING (ASDM01) Athens, GREECE, Dr Cory Merow https://www.prstatistics.com/course/advanced-range-niche-and-distribution-modeling-asdm01/ -- Oliver Hooker PhD. PR statistics 2018 publications - Alternative routes to piscivory: Contrasting growth trajectories in brown trout (Salmo trutta) ecotypes exhibiting contrasting life history strategies. Ecology of Freshwater Fish. Phenotypic and resource use partitioning amongst sympatric lacustrine brown trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 10.1093/biolinnean/bly032 prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] Ecological niche modelling using R (ENMR03)
TO PRACTICE (PRTZ01) Athens, GREECE, Dr Richard Schuster and Nina Morell https://www.prstatistics.com/course/conservation-planning-using-prioritizr-from-theory-to-practice-prtz01/ 25. October 21st – 25th 2019 A COMPLETE GUIDE TO MIXED MODELS (INCLUDING TEMPORAL AND SPATIAL AUTOCORRELATION) (MMTS01) Athens, GREECE, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/a-complete-guide-to-mixed-models-including-temporal-and-spatial-autocorrelation-mmts01/ 26. November 18th – 22nd 2019 INTRODUCTION TO STRUCTURED POPULATION MODELS AND DEMOGRAPHIC DISTRIBUTION MODELS (IIPM01) Athens, GREECE, Dr Cory Merow https://www.prstatistics.com/course/introduction-to-structured-population-models-and-demographic-distribution-models-iipm01/ 27. November 25th – 29th 2019 ADVANCED RANGE, NICHE, AND DISTRIBUTION MODELING (ASDM01) Athens, GREECE, Dr Cory Merow https://www.prstatistics.com/course/advanced-range-niche-and-distribution-modeling-asdm01/ -- Oliver Hooker PhD. PR statistics 2018 publications - Alternative routes to piscivory: Contrasting growth trajectories in brown trout (Salmo trutta) ecotypes exhibiting contrasting life history strategies. Ecology of Freshwater Fish. Phenotypic and resource use partitioning amongst sympatric lacustrine brown trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 10.1093/biolinnean/bly032 prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 <https://www.avast.com/sig-email?utm_medium=email_source=link_campaign=sig-email_content=webmail> Virus-free. www.avast.com <https://www.avast.com/sig-email?utm_medium=email_source=link_campaign=sig-email_content=webmail> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] Bioacoustics for ecologists: Hardware, Survey design and Data analysis (BIAC01)
) Glasgow, Scotland, Dr. Jakub Nowosad https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-ecological-data-using-r-ispe01/ 25.September 16th – 20th 2019 R PACKAGE DESIGN AND DEVELOPMENT AND REPRODUCIBLE DATA SCIENCE FOR BIOLOGISTS (RPKG01) Glasgow, Scotland, Dr. Cory Merow, Dr. Andy Rominger https://www.prstatistics.com/course/r-package-design-and-development-and-reproducible-data-science-for-biologists-rpkg01/ 26. September 30th – October 4th 2019 GEOMETRIC MORPHOMETRICS USING R (GMMR02) Glasgow, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr02/ 27. October 7th – 11th 2019 CONSERVATION PLANNING USING PRIORITIZR : FROM THEORY TO PRACTICE (PRTZ01) *Athens, GREECE, *Dr Richard Schuster and Nina Morell https://www.prstatistics.com/course/conservation-planning-using-prioritizr-from-theory-to-practice-prtz01/ 28. October 21st – 25th 2019 A COMPLETE GUIDE TO MIXED MODELS (INCLUDING TEMPORAL AND SPATIAL AUTOCORRELATION) (MMTS01) <https://www.prstatistics.com/course/a-complete-guide-to-mixed-models-including-temporal-and-spatial-autocorrelation-mmts01/> Athens, GREECE, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/a-complete-guide-to-mixed-models-including-temporal-and-spatial-autocorrelation-mmts01/ 29. November 18th – 22nd 2019 INTRODUCTION TO STRUCTURED POPULATION MODELS AND DEMOGRAPHIC DISTRIBUTION MODELS (IIPM01) Athens, GREECE, Dr Cory Merow https://www.prstatistics.com/course/introduction-to-structured-population-models-and-demographic-distribution-models-iipm01/ 30. November 25th – 29th 2019 ADVANCED RANGE, NICHE, AND DISTRIBUTION MODELING (ASDM01) Athens, GREECE, Dr Cory Merow https://www.prstatistics.com/course/advanced-range-niche-and-distribution-modeling-asdm01/ -- Oliver Hooker PhD. PR statistics 2018 publications - Alternative routes to piscivory: Contrasting growth trajectories in brown trout (Salmo trutta) ecotypes exhibiting contrasting life history strategies. Ecology of Freshwater Fish. Phenotypic and resource use partitioning amongst sympatric lacustrine brown trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 10.1093/biolinnean/bly032 prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 <https://www.avast.com/sig-email?utm_medium=email_source=link_campaign=sig-email_content=webmail> Virus-free. www.avast.com <https://www.avast.com/sig-email?utm_medium=email_source=link_campaign=sig-email_content=webmail> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] Advancing in statistical modelling using R (ADVR08)
modeling-asdm01/ -- Oliver Hooker PhD. PR statistics 2018 publications - Alternative routes to piscivory: Contrasting growth trajectories in brown trout (Salmo trutta) ecotypes exhibiting contrasting life history strategies. Ecology of Freshwater Fish. Phenotypic and resource use partitioning amongst sympatric lacustrine brown trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 10.1093/biolinnean/bly032 prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] Statistical modelling of time-to-event data using survival analysis: an introduction for animal behaviourists, ecologists and evolutionary biologists
TO PRACTICE (PRTZ01) Crete, GREECE, Dr Richard Schuster and Nina Morell https://www.prstatistics.com/course/conservation-planning-using-prioritizr-from-theory-to-practice-prtz01/ 32. October 21st – 25th 2019 A COMPLETE GUIDE TO MIXED MODELS (INCLUDING TEMPORAL AND SPATIAL AUTOCORRELATION) (MMTS01) Crete, GREECE, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/a-complete-guide-to-mixed-models-including-temporal-and-spatial-autocorrelation-mmts01/ -- Oliver Hooker PhD. PR statistics 2018 publications - Alternative routes to piscivory: Contrasting growth trajectories in brown trout (Salmo trutta) ecotypes exhibiting contrasting life history strategies. Ecology of Freshwater Fish. DOI to follow Phenotypic and resource use partitioning amongst sympatric lacustrine brown trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 10.1093/biolinnean/bly032 prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] Applied Bayesian modelling for ecologists and epidemiologists
– 25th 2019 STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (TTED01) Glasgow, Scotland, Dr. Will Hoppitt https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-data-using-survival-analysis-tted01/ 13. January 21st – 25th 2019 ADVANCING IN STATISTICAL MODELLING USING R (ADVR08) Glasgow, Scotland, Dr. Luc Bussiere, Dr. Tom Houslay http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr08/ 14. January 28th– February 1st 2019 AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN Glasgow, Scotland, VEMCO staff and affiliates https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-analysis-atda01/ 15. 4th – 8th February 2019 DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01) Glasgow, Scotland, Dr. Daniel Lakens https://www.psstatistics.com/course/designing-reliable-and-effecient-experiments-for-social-sciences-dres01/ 16. February 11th – 15th 2019 REPRODUCIBLE DATA SCIEDNCE FOR POPULATION GENETICS Glasgow, Scotland, Dr. Thibaut Jombart, Dr. Zhain Kamvar https://www.prstatistics.com/course/reproducible-data-science-for-population-genetics-rdpg02/ 17. 25th February – 1st March 2019 MOVEMENT ECOLOGY (MOVE02) Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr Jonathan Potts https://www.prstatistics.com/course/movement-ecology-move02/ 18. March 4th – 8th 2019 BIOACUSTIC DATA ANALYSIS Glasgow, Scotland, Dr. Paul Howden-Leach https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-survey-design-and-data-analysis-biac01/ 19. March 11th – 15th 2019 ECOLOGICAL NICHE MODELLING USING R (ENMR03) Glasgow, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr03/ 20. MARCH 18TH – 22ND 2019 INRODUCTION TO R FOR BIOMEDICAL SCIENCES (IRBM01) Crete, Greece, Dr Aristides (Aris) Moustakas Link to follow soon 21. March 25th – 29th 2019 LANDSCAPE GENETIC/GENOMIC DATA ANALYSIS USING R (LNDG03) Glasgow, Scotland, Prof. Rodney Dyer http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg03/ 22. A pril 1st – 5th 2019 INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01) Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-psychologists-ipsy02/ 23. April 8th – 12th MACHINE LEARNING Glasgow Scotland, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/machine-learning-using-r-mlur01/ -- Oliver Hooker PhD. PR statistics 2018 publications - Alternative routes to piscivory: Contrasting growth trajectories in brown trout (Salmo trutta) ecotypes exhibiting contrasting life history strategies. Ecology of Freshwater Fish. DOI to follow Phenotypic and resource use partitioning amongst sympatric lacustrine brown trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 10.1093/biolinnean/bly032 prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] Intro course on Frequentist and Bayesian mixed (Hierarchical) models using R (IFBM01)
://www.prstatistics.com/course/phylogenetic-comparative-methods-for-studying-diversification-and-phenotypic-evolution-pcme01/ 9. November 19th – 23rd 2018 STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (SEMR02) Glasgow, Scotland, Dr. Jonathan Lefcheck https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr02/ 10. November 26th – 30th 2018 FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION (FEER01) Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. Carlos Carmona http://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer01/ 11. December 3rd – 7th 2018 INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL SCIENCES USING R AND STAN (BDRS01) Glasgow, Dr. Mark Andrews https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-for-social-and-behavioural-sciences-using-r-and-stan-bdrs01/ 12. January 21st – 25th 2019 STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (TTED01) Glasgow, Scotland, Dr. Will Hoppitt https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-data-using-survival-analysis-tted01/ 13. January 21st – 25th 2019 ADVANCING IN STATISTICAL MODELLING USING R (ADVR08) Glasgow, Scotland, Dr. Luc Bussiere, Dr. Tom Houslay http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr08/ 14. January 28th– February 1st 2019 AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN Glasgow, Scotland, VEMCO staff and affiliates https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-analysis-atda01/ 15. 4th – 8th February 2019 DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01) Glasgow, Scotland, Dr. Daniel Lakens https://www.psstatistics.com/course/designing-reliable-and-effecient-experiments-for-social-sciences-dres01/ 16. February 11th – 15th 2019 REPRODUCIBLE DATA SCIEDNCE FOR POPULATION GENETICS Glasgow, Scotland, Dr. Thibaut Jombart, Dr. Zhain Kamvar https://www.prstatistics.com/course/reproducible-data-science-for-population-genetics-rdpg02/ 17. 25th February – 1st March 2019 MOVEMENT ECOLOGY (MOVE02) Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr Jonathan Potts https://www.prstatistics.com/course/movement-ecology-move02/ 18. March 4th – 8th 2019 BIOACUSTIC DATA ANALYSIS Glasgow, Scotland, Dr. Paul Howden-Leach https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-survey-design-and-data-analysis-biac01/ 19. March 11th – 15th 2019 ECOLOGICAL NICHE MODELLING USING R (ENMR03) Glasgow, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr03/ 20. MARCH 18TH – 22ND 2019 INRODUCTION TO R FOR BIOMEDICAL SCIENCES (IRBM01) Crete, Greece, Dr Aristides (Aris) Moustakas Link to follow soon 21. March 25th – 29th 2019 LANDSCAPE GENETIC/GENOMIC DATA ANALYSIS USING R (LNDG03) Glasgow, Scotland, Prof. Rodney Dyer http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg03/ 22. A pril 1st – 5th 2019 INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01) Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-psychologists-ipsy02/ 23. April 8th – 12th MACHINE LEARNING Glasgow Scotland, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/machine-learning-using-r-mlur01/ -- Oliver Hooker PhD. PR statistics 2018 publications - Alternative routes to piscivory: Contrasting growth trajectories in brown trout (Salmo trutta) ecotypes exhibiting contrasting life history strategies. Ecology of Freshwater Fish. DOI to follow Phenotypic and resource use partitioning amongst sympatric lacustrine brown trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 10.1093/biolinnean/bly032 prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] STATS COURSE Time series models for ecologists (TSME02)
. November 19th – 23rd 2018 STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (SEMR02) Glasgow, Scotland, Dr. Jonathan Lefcheck https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr02/ 11. November 26th – 30th 2018 FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION (FEER01) Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. Carlos Carmona http://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer01/ 12. December 3rd – 7th 2018 INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL SCIENCES USING R AND STAN (BDRS01) Glasgow, Dr. Mark Andrews https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-for-social-and-behavioural-sciences-using-r-and-stan-bdrs01/ 13. January 21st – 25th 2019 STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (TTED01) Glasgow, Scotland, Dr. Will Hoppitt https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-data-using-survival-analysis-tted01/ 14. January 21st – 25th 2019 ADVANCING IN STATISTICAL MODELLING USING R (ADVR08) Glasgow, Scotland, Dr. Luc Bussiere, Dr. Tom Houslay http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr08/ 15. January 28th– February 1st 2019 AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN Glasgow, Scotland, VEMCO staff and affiliates https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-analysis-atda01/ 16. 4th – 8th February 2019 DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01) Glasgow, Scotland, Dr. Daniel Lakens https://www.psstatistics.com/course/designing-reliable-and-effecient-experiments-for-social-sciences-dres01/ 17. February 11th – 15th 2019 REPRODUCIBLE DATA SCIEDNCE FOR POPULATION GENETICS Glasgow, Scotland, Dr. Thibaut Jombart, Dr. Zhain Kamvar https://www.prstatistics.com/course/reproducible-data-science-for-population-genetics-rdpg02/ 18. 25th February – 1st March 2019 MOVEMENT ECOLOGY (MOVE02) Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr Jonathan Potts https://www.prstatistics.com/course/movement-ecology-move02/ 19. March 4th – 8th 2019 BIOACUSTIC DATA ANALYSIS Glasgow, Scotland, Dr. Paul Howden-Leach https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-survey-design-and-data-analysis-biac01/ 20. March 18th – 22nd 2019 ECOLOGICAL NICHE MODELLING USING R (ENMR03) Glasgow, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr03/ 21. March 25th – 29th 2019 LANDSCAPE GENETIC/GENOMIC DATA ANALYSIS USING R (LNDG03) Glasgow, Scotland, Prof. Rodney Dyer http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg03/ 22. A pril 1st – 5th 2019 INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01) Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-psychologists-ipsy02/ 23. April 8th – 12th MACHINE LEARNING Glasgow Scotland, Dr Aristides (Aris) Moustakas https://www.prstatistics.com/course/machine-learning-using-r-mlur01/ -- Oliver Hooker PhD. PR statistics 2018 publications - Alternative routes to piscivory: Contrasting growth trajectories in brown trout (Salmo trutta) ecotypes exhibiting contrasting life history strategies. Ecology of Freshwater Fish. DOI to follow Phenotypic and resource use partitioning amongst sympatric lacustrine brown trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 10.1093/biolinnean/bly032 prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] Fwd: Part funded scholarships for Social Network Analysis for Behavioural Scientists using R (SNAR01)
PS statistics are offering some part funded scholarships for their upcoming course on Social Network Analysis for Behavioural Scientists using R (SNAR01) which may interest people studying social behaviour in marine mammals. https://www.psstatistics.com/course/social-network-analysis-for-behavioral-scientists-snar01/ SCHOLARSHIPS CONTRIBUTE TOWARDS COURSE AND ACCOMMODATION FEES WITH 5 ALL INCLUSIVE PLACES (accommodation and meals included) AVAILABLE AT £450.00 (Fees have been subsidised from £750.00). Applications should be sent to oliverhoo...@psstatistics.com and contain the following. 1. Full name 2. Institute name 3. Masters/PhD subject title or Post doc research questions 4. Do you hold a funded position 5. 150 words why this course would be relevant to your research or how it would help. Application deadline is 17 June 2018. We have 'normal' places available as well. -- Oliver Hooker PhD. PR statistics 2018 publications - Phenotypic and resource use partitioning amongst sympatric lacustrine brown trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 10.1093/biolinnean/bly032 prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] Species distribution/occupancy modelling using PRESENCE and R (OCCU01)
Species distribution/occupancy modelling using PRESENCE and R (OCCU01) https://www.prstatistics.com/course/species-distributionoccupancy-modelling-using-r-occu01/ Similar to our other SDM course that will take place in Australia, this SDM course is also highly applicable to people working with marine mammals and will be held a week later in Glasgow before the ISEC conference in St Andrews. Delivered by Dr Darryl MacKenzie form 25th - 29th June 2018 at PR statistics head office, 53 Morrison Street, Glasgow, Scotland, G5 8LB Course Overview: The presence or absence of a species across a set of landscape units is a fundamental concept widely used in ecology (e.g., species range or distribution, epidemiology, habitat modeling, resource selection probability functions, as a monitoring metric, metapopulation studies, biodiversity and species co-occurrence). An important sampling issue, however, is that a species may not always be detected when present at a landscape unit. This will result in “false absences” causing parameter estimates to be biased if unaccounted for, possibly leading to misleading results and conclusions, even with moderate levels of imperfect detection. This workshop will cover many of the latest methods for modeling patterns and dynamics of species occurrence in a landscape while accounting for the imperfect detection of the species. Including: • estimating level of occurrence at single point in time • identifying factors that influence species occurrence • creating species distribution maps • modelling changes in distribution over time • study design Participants will be introduced to available software through worked examples, and there will be special emphasis on aspects of study design. While primarily aimed at the beginner and intermediate level, more experienced researchers will also benefit from attending. The first four days will comprise of formal lectures and exercises, and the final morning will be an informal discussion/consulting session where participants can work on their own data, talk one-on-one with the instructor, etc. If you have any questions please feel free to email oliverhoo...@prstatistics.com Oliver Hooker PhD. PR statistics 2018 publications - Phenotypic and resource use partitioning amongst sympatric lacustrine brown trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 10.1093/biolinnean/bly032 prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA -- Oliver Hooker PhD. PR statistics 2018 publications - Phenotypic and resource use partitioning amongst sympatric lacustrine brown trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 10.1093/biolinnean/bly032 prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] Canada course - Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM04)
Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM04) https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm04/ This course will be delivered by Dr Andrew Parnell and Dr Andrew Jackson in Orford, Quebec, Canada, from 28th - 31st May 2018. This course is suitable for anyone working on marine mammal foraging ecology and food webs. Course overview: This course will cover the concepts, technical background and use of stable isotope mixing models (SIMMs) with a particular focus on running them in R. This course will cover the concepts, technical background and use of stable isotope mixing models (SIMMs) with a particular focus on running them in R. Recently SIMMs have become a very popular tool for quantifying food webs and thus the diet of predators and prey in an ecosystem. Starting with only basic understanding of statistical models, we will cover the do’s and don’ts of using SIMMs with a particular focus on the widely used package SIAR and the more advanced MixSIAR. Participants will be taught some of the advanced features of these packages, which will enable them to produce a richer class of output, and are encouraged to bring their own data sets and problems to study during the round-table discussions. If you have any questions please email oliverhoo...@prstatistics.com -- Oliver Hooker PhD. PR statistics 2018 publications - Phenotypic and resource use partitioning amongst sympatric lacustrine brown trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 10.1093/biolinnean/bly032 prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] Registration deadline for Species distribution models using R (Jane Elith and Gurutzeta Guillera)
Species distribution models using R (SDMR01) https://www.prstatistics.com/course/species-distribution-models-using-r-sdmr01/ Deadline for registration is 21/05/2018 This course will be delivered by Prof. Jane Elith, Dr. Gurutzeta Guillera and Jose Square form the 12th - 15th June 2018 at Myuna Bay Sport and Recreation, Wangi Road, Myuna Bay, New South Wales 2264 Australia Course Overview: The aim of this four-day course is to work towards an understanding of, and practical ability to fit, species distribution models (SDMs). It will be useful if you plan to use SDMs, or if you just want to understand them better. The examples used will be broad and applicable to anyone working on marine mammals We will focus on statistical models of species distributions – those that combine observed species records with environmental data. Using a mixture of lectures, computer exercises and case studies, participants will learn to: 1) identify relevant data, and prepare it for modelling; 2) fit models using several modelling methods (including Maxent, generalized linear models and their extensions, and boosted regression trees); 3) consider how to model species if detection is imperfect; 4) evaluate models and interpret them; 5) understand the range of practical issues that arise in typical applications of SDMs. Practical sessions will use the free statistical software, R – prior experience (even if some practice before you come) will be useful. Example data will be provided but participants may also bring their own data. Presenters include Jane Elith and Gurutzeta Guillera-Arroita, who are highly experienced in SDMs. If you have any questions please email oliverhoo...@prstatistics.com Monday 11th Meet at Myuna Bay Sport and |recreation at approx. 18:30 Tuesday 12th – Classes from 09:00 to 17:00 Overview of modelling distributions; niches and theory The modelling process – key concepts Predictor variables Species data Practical: start working with supplied data Methods for presence-absence data; introduction to use of regression models for species modelling Wednesday 13th – Classes from 09:00 to 17:00 Generalised linear models (GLMs) and GLMMS Practical using GLMs with data How to evaluate models – lecture and practical Occupancy-detection models – lecture and practical Thursday 14th – Classes from 09:00 to 17:00 What if no absence data? – introduction to presence-only and background data Practical: GLM with background data Relative probabilities, point processes Maxent – lecture and practical Evaluation for presence-background models How to deal with biased data Friday 15th – Classes from 09:00 to 16:00 Boosted regression trees – lecture and practical Complexity vs simplicity in models Using models for extrapolation Hot topics: where is species modelling heading -- Oliver Hooker PhD. PR statistics 2018 publications - Phenotypic and resource use partitioning amongst sympatric lacustrine brown trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 10.1093/biolinnean/bly032 prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] Quantitative geographic ecology using R: modelling genomes, niches, and communities
-mixing-models-using-r-simm04/ 10. May 28th – June 1st 2018 ADVANCED PYTHON FOR BIOLOGISTS (APYB02) SCENE, Scotland, Dr. Martin Jones www.prinformatics.com/course/advanced-python-biologists-apyb02/ 11. June 12th - 15th 2018 SPECIES DISTRIBUTION MODELLING (DBMR01) Myuna Bay sport and recreation, Australia, Prof. Jane Elith, Dr. Gurutzeta Guillera www.prstatistics.com/course/species-distribution-models-using-r-sdmr01/ 12. June 18th – 22nd 2018 STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS USING R (SEMR02) Myuna Bay sport and recreation, Australia, Dr. Jon Lefcheck www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr02/ 13. June 25th – 29th 2018 SPECIES DISTRIBUTION/OCCUPANCY MODELLING USING R (OCCU01) Glasgow, Scotland, Dr. Darryl McKenzie www.prstatistics.com/course/species-distributionoccupancy-modelling-using-r-occu01/ 14. July 2nd - 5th 2018 SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R (SNAR01) Glasgow, Scotland, Prof James Curley http://www.psstatistics.com/course/social-network-analysis-for-behavioral-scientists-snar01/ 15. July 8th – 12th 2018 MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV02) Glasgow, Scotland, Prof David Warton www.prstatistics.com/course/model-base-multivariate-analysis-of-abundance-data-using-r-mbmv02/ 16. July 16th – 20th 2018 PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA TO CLINICAL INTERPRETATION (PMBI01) Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/ 17. July 23rd – 27th 2018 EUKARYOTIC METABARCODING (EUKB01) Glasgow, Scotland, Dr. Owen Wangensteen http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/ 18. October 8th – 12th 2018 INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (ISAE01) Glasgow, Scotland, Prof. Subhash Lele https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-ecological-data-using-r-isae01/ 19. October 15th – 19th 2018 APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME Glasgow, Scotland, Dr. Matt Denwood, Emma Howard http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-epidemiologists-abme04/ 20. October 29th – November 2nd 2018 PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND PHENOTYPIC EVOLUTION (PCME01) Glasgow, Scotland, Prof. Subhash Lele Dr. Antigoni Kaliontzopoulou https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-studying-diversification-and-phenotypic-evolution-pcme01/ 21. November 26th – 30th 2018 FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION (FEER Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. Carlos Carmona http://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer01/ 22. February 2018 TBC MOVEMENT ECOLOGY (MOVE02) Margam Discovery Centre, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr Jonathan Potts www.prstatistics.com/course/movement-ecology-move01/ Oliver Hooker PhD. PR statistics 2017 publications - Ecosystem size predicts eco-morphological variability in post-glacial diversification. Ecology and Evolution. In press. The physiological costs of prey switching reinforce foraging specialization. Journal of animal ecology. prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 -- Oliver Hooker PhD. PR statistics 2017 publications - Ecosystem size predicts eco-morphological variability in post-glacial diversification. Ecology and Evolution. In press. The physiological costs of prey switching reinforce foraging specialization. Journal of animal ecology. prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] COURSE Network analysis (food webs) for ecologists using R (NTWA02)
Warton www.prstatistics.com/course/model-base-multivariate-analysis-of-abundance-data-using-r-mbmv02/ 21. July 16th – 20th 2018 PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA TO CLINICAL INTERPRETATION (PMBI01) Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/ 22. July 23rd – 27th 2018 EUKARYOTIC METABARCODING (EUKB01) Glasgow, Scotland, Dr. Owen Wangensteen http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/ -- -- Oliver Hooker PhD. PR statistics 2017 publications - Ecosystem size predicts eco-morphological variability in post-glacial diversification. Ecology and Evolution. In press. The physiological costs of prey switching reinforce foraging specialization. Journal of animal ecology. prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] EcologicalNicheModellingUsingR_ NeftaliSillero_UK_16-20October
FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS USING R (SEMR02) Myuna Bay sport and recreation, Australia, TBC https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr02/ -- 20. July 2nd - 5th 2018 SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R (SNAR01) Glasgow, Scotland, Prof James Curley http://www.psstatistics.com/course/social-network-analysis-for-behavioral-scientists-snar01/ 21. July 8th – 12th 2018 MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV02) Glasgow, Scotland, Prof David Warton https://www.prstatistics.com/course/model-base-multivariate-analysis-of-abundance-data-using-r-mbmv02/ 22. July 16th – 20th 2018 PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA TO CLINICAL INTERPRETATION (PMBI01) Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith https://www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/ 23. July 23rd – 27th 2018 EUKARYOTIC METABARCODING (EUKB01) Glasgow, Scotland, Dr. Owen Wangensteen http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/ Oliver Hooker PhD. PR statistics 2017 publications - Ecosystem size predicts eco-morphological variability in post-glacial diversification. Ecology and Evolution. In press. The physiological costs of prey switching reinforce foraging specialization. Journal of animal ecology. prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 3/1, 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 -- Oliver Hooker PhD. PR statistics 2017 publications - Ecosystem size predicts eco-morphological variability in post-glacial diversification. Ecology and Evolution. In press. The physiological costs of prey switching reinforce foraging specialization. Journal of animal ecology. prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] Course on Spatial Prioritization with Marxan
Discovery Centre, Wales, Jennifer McGowan https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/ 10. March 12th - 16th 2018 ECOLOGICAL NICHE MODELLING USING R #ENMR Glasgow, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr02/ 11. March 19th – 23rd 2018 BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R #BDML Glasgow, Scotland, Dr William Hoppitt http://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-likelihood-bdml01/ -- 12. April 9th – 13th 2018 NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA Glasgow, Scotland, Dr. Marco Scotti https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/ 13. April 16th – 20th 2018 INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R #IPSY Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-psychologists-ipsy01/ 14. April 23rd – 27th 2018 MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE #VGNR Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet https://www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr01/ 15. April 30th – 4th May 2018 QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES #QGER Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick https://www.prstatistics.com/course/quantitative-geographic-ecology-using-r-modelling-genomes-niches-and-communities-qger01/ -- 16. May 7th – 11th 2018 ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R #MVSP CANADA (QUEBEC), Prof. Pierre Legendre, Dr. Guillaume Blanchet https://www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-ecological-data-theory-and-practice-mvsp03/ 17. May 14th - 18th 2018 INTRODUCTION TO MIXED (HIERARCHICAL) MODELS FOR BIOLOGISTS #IMBR CANADA (QUEBEC), Prof Subhash Lele https://www.prstatistics.com/course/introduction-to-mixed-hierarchical-models-for-biologists-using-r-imbr01/ 18. May 21st - 25th 2018 INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB SCENE, Scotland, Dr. Martin Jones http://www.prinformatics.com/course/introduction-to-python-for-biologists-ipyb05/ 19. May 21st - 25th 2018 INTRODUCTION TO REMOTE SENISNG AND GIS FOR ECOLOGICAL APPLICATIONS Glasgow, Scotland, Prof. Duccio Rocchini, Dr. Luca Delucchi https://www.prinformatics.com/course/introduction-to-remote-sensing-and-gis-for-ecological-applications-irms01/ 20. May 28th – 31st 2018 STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM CANADA (QUEBEC) Dr. Andrew Parnell, Dr. Andrew Jackson https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm04/ 21. May 28th – June 1st 2018 ADVANCED PYTHON FOR BIOLOGISTS #APYB SCENE, Scotland, Dr. Martin Jones https://www.prinformatics.com/course/advanced-python-biologists-apyb02/ -- 22. June 12th -0 15th 2018 SPECIES DISTRIBUTION MODELLING #DBMR Myuna Bay sport and recreation, Australia, TBC COMING SOON www.PRstatistics.com 23. June 12th – 15th 2018 MARK RECAPTURE METHODS IN ECOLOGY #MKRC Myuna Bay sport and recreation, Australia, TBC COMING SOON www.PRstatistics.com 24. June 18th – 22nd 2018 STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS USING R #SEMR Myuna Bay sport and recreation, Australia, TBC COMING SOON www.PRstatistics.com -- 25. July 2nd - 5th 2018 SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R #SNAR Glasgow, Scotland, Prof James Curley http://www.psstatistics.com/course/social-network-analysis-for-behavioral-scientists-snar01/ 26. July 8th – 12th 2018 MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV Glasgow, Scotland, Prof David Warton https://www.prstatistics.com/course/model-base-multivariate-analysis-of-abundance-data-using-r-mbmv02/ 27. July 16th – 20th 2018 PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA TO CLINICAL INTERPRETATION #PMBI Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith COMING SOON www.prinformatics.com 28. July 23rd – 27th 2018 EUKARYOTIC METABARCODING Glasgow, Scotland, Dr. Owen Wangensteen http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/ -- Oliver Hooker PhD
[MARMAM] Course on remote sensing and GIS for ecological applications
Laugen, http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr07/ INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM 29th Jan – 2nd Feb 2018, Scotland, Dr. Andrew Parnell http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm02/ PHYLOGENETIC DATA ANALYSIS USING R (TBC) #PHYL 28th Jan – Feb 2nd Dr. Emmanuel Paradis – Date and location to be confirmed https://www.prstatistics.com/course/introduction-to-phylogenetic-analysis-with-r-phyg-phyl02/ ANIMAL MOVEMENT ECOLOGY (February 2018) #ANME 19th – 23rd February 2018, Wales, Dr Luca Borger, Dr. John Fieberg GEOMETRIC MORPHOMETRICS USING R #GMMR 5th – 9th June 2017, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/ FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION #FEER 5th – 9th March 2018, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. Carlos Carmona http://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer01/ MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV0 8th – 12th July 2018, Prof David Warton ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R #MVSP Prof. Pierre Legendre, Dr. Olivier Gauthier - Date and location to be confirmed STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM Dr. Andrew Parnell, Dr. Andrew Jackson – Date and location to be confirmed NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA Dr. Marco Scotti - Date and location to be confirmed MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA #MASE Prof. Subhash Lele, Dr. Peter Solymos - Date and location to be confirmed TIME SERIES MODELS FOR ECOLOGISTS USING R (JUNE 2017 #TSME Dr. Andrew Parnell - Date and location to be confirmed META-ANALYSIS IN ECOLOGY, EVOLUTION AND ENVIRONMENTAL SCIENCES #METR01 Prof. Julia Koricheva, Prof. Elena Kulinskaya – Date and location to be confirmed -- Oliver Hooker PhD. PR statistics 2017 publications - Ecosystem size predicts eco-morphological variability in post-glacial diversification. Ecology and Evolution. In press. The physiological costs of prey switching reinforce foraging specialization. Journal of animal ecology. prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 -- Oliver Hooker PhD. PR statistics 2017 publications - Ecosystem size predicts eco-morphological variability in post-glacial diversification. Ecology and Evolution. In press. The physiological costs of prey switching reinforce foraging specialization. Journal of animal ecology. prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] Course on Structural equation modelling
YESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS #ABME 20th - 25th November 2017, Scotland, Prof. Jason Matthiopoulos, Dr. Matt Denwood http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-epidemiologists-abme03/ 10. ADVANCING IN STATISTICAL MODELLING USING R #ADVR 11th – 15th December 2017, Wales, Dr. Luc Bussiere, Dr. Tom Houslay, Dr. Ane Timenes Laugen, http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr07/ 11. INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM 29th Jan – 2nd Feb 2018, Scotland, Dr. Andrew Parnell http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm02/ 12. ANIMAL MOVEMENT ECOLOGY (February 2018) #ANME 19th – 23rd February 2018, Wales, Dr Luca Borger, Dr. John Fieberg 13. GEOMETRIC MORPHOMETRICS USING R #GMMR 5th – 9th June 2017, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/ 14. FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION #FEER 5th – 9th March 2018, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. Carlos Carmona http://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer01/ 15. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R #MVSP Prof. Pierre Legendre, Dr. Olivier Gauthier - Date and location to be confirmed 16. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM Dr. Andrew Parnell, Dr. Andrew Jackson – Date and location to be confirmed 17. NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA Dr. Marco Scotti - Date and location to be confirmed 18. MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV0 Prof David Warton - Date and location to be confirmed 19. PHYLOGENETIC DATA ANALYSIS USING R (TBC) #PHYL Dr. Emmanuel Paradis – Date and location to be confirmed PR informatics other courses 1. BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS #BIGB 3rd – 7th July 2017, Scotland, Dr. Nic Blouin, Dr. Ian Misner http://www.prinformatics.com/course/bioinformatics-for-geneticists-and-biologists-bigb02/ 2. INTRODUCTION TO BIOINFORMATICS USING LINUX #IBUL 16th – 20th October, Scotland, Dr. Martin Jones http://www.prstatistics.com/course/introduction-to-bioinformatics-using-linux-ibul02/ 3. INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB 27th Nov – 1st Dec, Wales, Dr. Martin Jones http://www.prinformatics.com/course/introduction-to-python-for-biologists-ipyb04/ 4. INTRODUCTION REMOTE SENSING AND GIS APPLICATIONS FOR ECOLOGISTS #IRMS 27th Nov – 1st Dec, Wales, Dr Duccio Rocchini, Dr. Luca Delucchi http://www.prstatistics.com/course/introduction-to-remote-sensing-and-gis-for-ecological-applications-irms01/ 5. DATA VISUALISATION AND MANIPULATION USING PYTHON #DVMP 11th – 15th December 2017, Wales, Dr. Martin Jones http://www.prinformatics.com/course/data-visualisation-and-manipulation-using-python-dvmp01/ 6. EUKARYOTIC METABARCODING 23rd – 27th July 2018, Scotland, Dr. Owen Wangensteen http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/ 7. CODING, DATA MANAGEMENT AND SHINY APPLICATIONS USING RSTUDIO FOR EVOLUTIONARY BIOLOGISTS AND ECOLOGISTS #CDSR Dr. Aline Quadros Oliver Hooker PhD. PR statistics 2017 publications - Ecosystem size predicts eco-morphological variability in post-glacial diversification. Ecology and Evolution. In press. The physiological costs of prey switching reinforce foraging specialization. Journal of animal ecology. prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 3/1, 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] STATS COURSE - Advancing in statistical modelling using R
/course/ecological-niche-modelling-using-r-enmr01/ 12. INTRODUCTION TO BIOINFORMATICS USING LINUX #IBUL 16th – 20th October, Scotland, Dr. Martin Jones http://www.prstatistics.com/course/introduction-to-bioinformatics-using-linux-ibul02/ 13. GENETIC DATA ANALYSIS AND EXPLORATION USING R #GDAR 23rd – 27th October, Wales, Dr. Thibaut Jombart, Zhian Kavar http://www.prstatistics.com/course/genetic-data-analysis-exploration-using-r-gdar03/ 14. STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS USING R #SEMR 23rd – 27th October, Wales, Prof Jarrett Byrnes, Dr. Jon Lefcheck 15. LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R #LNDG 6th – 10th November, Wales, Prof. Rodney Dyer http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg02/ 16. APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS #ABME 20th - 25th November 2017, Scotland, Prof. Jason Matthiopoulos, Dr. Matt Denwood http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-epidemiologists-abme03/ 17. INTRODUCTION TO METHODS FOR REMOTE SENSING #IRMS 27th Nov – 1st Dec, Wales, Dr Duccio Rocchini, Dr. Luca Delucchi 18. INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB 27th Nov – 1st Dec, Wales, Dr. Martin Jones http://www.prstatistics.com/course/introduction-to-python-for-biologists-ipyb04/ 19. DATA VISUALISATION AND MANIPULATION USING PYTHON #DVMP 11th – 15th December 2017, Wales, Dr. Martin Jones http://www.prstatistics.com/course/data-visualisation-and-manipulation-using-python-dvmp01/ 20. ADVANCING IN STATISTICAL MODELLING USING R #ADVR 11th – 15th December 2017, Wales, Dr. Luc Bussiere, Dr. Tom Houslay, Dr. Ane Timenes Laugen, http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr07/ 21. INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM 29th Jan – 2nd Feb, Scotland, Dr. Andrew Parnell http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm02/ 22. ANIMAL MOVEMENT ECOLOGY (February 2018) #ANME 23. AQUATIC TELEMENTRY DATA ANALYSIS USIR R (TBC) #ATDAR 24. PHYLOGENETIC DATA ANALYSIS USING R (TBC) #PHYL PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 -- Oliver Hooker PhD. PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] Advances in Spatial Analysis of Multivariate Ecological Data - Pierre Legendre - STATS COURSE
FOR ECOLOGISTS USING R (JUNE 2017 (#TSME) 12. BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS (July 2017) #BIGB http://www.prstatistics.com/course/bioinformatics-for-geneticists-and-biologists-bigb02/ 13. SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (August 2017) #SPAE http://www.prstatistics.com/course/spatial-analysis-ecological-data-using-r-spae05/ 14. STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (July 2017 TBC) #SEMR 15. ECOLOGICAL NICHE MODELLING (October 2017) #ENMR http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr01/ 16. INTRODUCTION TO BIOINFORMATICS USING LINUX (October 2017) #IBUL 17. GENETIC DATA ANALYSIS USING R (October 2017 TBC) #GDAR 18. LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (November 2017 TBC) #LNDG 19. APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (November 2017) #ABME http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-epidemiologists-abme03/ 20. INTRODUCTION TO METHODS FOR REMOTE SENSING (November 2017) #IRMS 21. INTRODUCTION TO PYTHON FOR BIOLOGISTS (November 2017) #IPYB 22. DATA VISUALISATION AND MANIPULATION USING PYTHON (December 2017) #DVMP http://www.prstatistics.com/course/data-visualisation-and-manipulation-using-python-dvmp01/ 23. ADVANCING IN STATISTICAL MODELLING USING R (December 2017) #ADVR 24. INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (January 2018) #IBHM http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm02/ 25. PHYLOGENETIC DATA ANALYSIS USING R (TBC) #PHYL -- Oliver Hooker PhD. PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] Stable isotope and network analysis workshops
. DATA VISUALISATION AND MANIPULATION USING PYTHON (December 2017 TBC) Oliver Hooker PhD. PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] ModelBaseMultivariateAnalysisOfAbundance(presence/absence)DataUsingR.Jan16-20.London
. LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (November TBC) 19. PHYLOGENETIC DATA ANALYSIS USING R (November TBC) 20. APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (November 2017) 21. ADVANCING IN STATISTICAL MODELLING USING R (December 2017) Oliver Hooker PhD. PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] 'STATS COURSE - Advancing in statistical modelling using R'
"Advancing in Statistical Modelling using R"
Delivered by Dr. Luc Bussiere and Dr. Tom Houslay
http://prstatistics.com/course/advancing-in-statistical-modelling-using-r-advr-2/
This course will run from 5th – 9th December 2016 at Juniper Hall
Field Station, Dorking, Surrey, just south of London, England.
This is an introduction to model selection and simplification, mixed
effects models, generalised linear models and non-linear models.
The course is aimed at biologists (and therefore those studying marine
mammals) with a basic to moderate knowledge in R. The course content is
designed to bridge the gap between basic R coding and more advanced
statistical modelling. This five day course will consist of series of
modules, each lasting roughly half a day and comprised of lectures and
practicals designed to either build required skills for future modules
or to perform a family of analyses that is frequently needed in research
or encountered in the biological literature.
Course content is as follows
Day 1 Course introduction
• Techniques for data manipulation, aggregation, and visualisation;
introduction to linear regression. Packages: {tidyr}, {dplyr}, {ggplot2}
Day 2 Linear models
• Diagnostics, collinearity, scaling, plotting fitted values); fitting
and interpreting interaction terms; model selection and simplification;
general linear models and ANCOVA.
• Packages: {stats}, {car}
Day 3 Generalized linear models
• Logistic and Poisson regression; predicting using model objects and
visualizing model fits.
• Packages: {broom}, {visreg}, {ggplot2}
Day 4 Mixed effects models
• Theory and practice of mixed effect models; visualising fixed and
random effects.
• Packages: {lme4}, {broom}, {ggplot2}, {sjPlot}
Day 5 Fitting nonlinear functions
• Polynomial & Mechanistic models; brief introduction to more advanced
topics & combining methods (e.g., generalised linear mixed effects,
nonlinear mixed effects, and zero-inflated and zero-altered models).
• Packages: {nlsTools}.
• Afternoon to discuss own data if time permits
Please email any inquiries to oliverhoo...@prstatistics.com or visit our
website www.prstatistics.com
Please feel free to distribute this material anywhere you feel is
suitable
Upcoming courses - email for details oliverhoo...@prstatistics.com
1. INTRODUCTION TO PYTHON FOR BIOLOGISTS (October)
2. LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (October)
3. APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS
(October)
4. PHYLOGENETIC DATA ANALYSIS USING R (October/November)
5. SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (November)
6. MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R
(January)
7. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R
(Feb/
8. NETWORK ANAYLSIS FOR ECOLOGISTS USING R (March)
9. INTRODUCTION TO GEOMETRIC MORPHOMETRICS USING R (June)
Dates still to be confirmed - email for details
oliverhoo...@prstatistics.com
• INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS
• BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS
• GENETIC DATA ANALYSIS USING R
• INTRODUCTION TO BIOINFORMATICS USING LINUX
• INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING
Oliver Hooker PhD.
PR statistics
3/1
128 Brunswick Street
Glasgow
G1 1TF
+44 (0) 7966500340
www.prstatistics.com
www.prstatistics.com/organiser/oliver-hooker/Oliver Hooker
--
Oliver Hooker PhD.
PR statistics
3/1
128 Brunswick Street
Glasgow
G1 1TF
+44 (0) 7966500340
www.prstatistics.com
www.prstatistics.com/organiser/oliver-hooker/
___
MARMAM mailing list
MARMAM@lists.uvic.ca
https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] 'Spatial analysis of ecological data using R' - STATS COURSE
"Spatial analysis of ecological data using R" Delivered by Prof. Jason Matthiopoulos, Dr. Jana Jeglinski, Dr. James Grecian http://prstatistics.com/course/spatial-analysis-of-ecological-data-using-r-spae-2/ This course will run from 21st – 26th November 2016 at SCENE field station, Loch Lomond national park, Scotland. The course will cover the concepts and R tools that can be used to analyse spatial data in ecology covering elementary and advanced spatial analysis techniques applicable to both plants and animals and is therefore highly relevant to researchers studying the ecology and spatial patterns/movements of marine mammals. We will investigate analyses appropriate to transect (e.g. line surveys, trapping arrays), grid (e.g. occupancy surveys) and point data (e.g. telemetry). The focal questions will be on deriving species distributions, determining their environmental drivers and quantifying different types of associated uncertainty. Novel methodology for generating predictions will be introduced. We will also address the challenges of applying the results of these methods to wildlife conservation and resource management and communicate the findings to non-experts. Course content is as follows Day 1: Elementary concepts Module 1 Introductory lectures and practical; this will cover the key questions in spatial ecology, the main types of data on species distributions, concepts and challenges and different types of environmental data, concepts and challenges; useful concepts from statistics; Generalised Linear Models Module 2 GIS tools in R: Types and structure of spatial objects in R, generating and manipulating spatial objects, projections and transformations, cropping and masking spatial objects, extracting covariate data and other simple GIS operations in R, optionally plotting simple maps Day 2: Overview of basic analyses Module 3 Density estimation, Spatial autocorrelation, Smoothing, Kernel Smoothers, Kriging, Trend-fitting (linear, generalised linear, generalised additive models) Module 4 Habitat preference, Resource selection functions, MaxEnt: What’s it all about? Overview and caveats related to Niche models Day 3: Challenging problems Module 5 Analysing grid data, Poisson processes, Occupancy models, Use-availability designs Module 6 Analysing telemetry data, Presence-only data, Spatial and serial autocorrelation, Partitioning variation by mixed effects models Day 4: Challenging problems Module 7 Analysing transect data, Detection functions for point and line transects, Using covariates in transect models. Afternoon for catch up and/or excursion Day 5: Challenging problems Module 8 Advanced methods, Generalised Estimation Equations for difficult survey designs, Generalised additive models for habitat preference, Dealing with boundary effects using soap smoothers, Spatial point processes with INLA Day 6: Delivering advice Module 9 Prediction, Validation by resampling, Generalised Functional Responses for species distribution, Quantifying uncertainty, Dealing with the effects of population density Module 10 Applications, Designing protected areas, thinking about critical habitat, Representing uncertainty Please email any inquiries to oliverhoo...@prstatistics.com or visit our website www.prstatistics.com Please feel free to distribute this material anywhere you feel is suitable Upcoming courses - email for details oliverhoo...@prstatistics.com 1. INTRODUCTION TO PYTHON FOR BIOLOGISTS (October) 2. LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (October) 3. APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (October) 4. PHYLOGENETIC DATA ANALYSIS USING R (October/November) 5. ADVANCING IN STATISTICAL MODELLING USING R (December) 6. MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (January) 7. NETWORK ANAYLSIS FOR ECOLOGISTS USING R (March) 8. INTRODUCTION TO GEOMETRIC MORPHOMETRICS USING R (June) Dates still to be confirmed - email for details oliverhoo...@prstatistics.com • STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R • INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS • BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS • GENETIC DATA ANALYSIS USING R • INTRODUCTION TO BIOINFORMATICS USING LINUX • INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING Oliver Hooker PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] 'Applied Bayesian modelling for ecologists and epidemiologists' - STATS COURSE
rror and autocorrelation, including thinning. o Interpreting the DIC for nested models, and understanding the limitations of how this is calculated. o Other methods of model selection and where these might be more useful than DIC. o Most commonly used methods Rationale and use for fixed threshold, ABGD, K/theta, PTP, GMYC with computer practicals. o Other methods, Haplowebs, bGMYC, etc. with computer practicals Day 4 • Day 4 will focus on the flexibility of mcmc, and precautions required for using mcmc to model commonly encountered datasets. An introduction to conjugate priors and the potential benefits of exploiting gibbs sampling will be given. More complex types of models such as hierarchical models, latent class models, mixture models and state space models will be introduced and discussed. The practical sessions will follow on from day 3. o General guidance for model specification. o The flexibility of the BUGS language and MCMC methods. o The difference between informative and diffuse priors. o Conjugate priors and how they can be used. o Gibbs sampling. o State space models. o Hierarchical and state space models. o Latent class and mixture models. o Conceptual application to animal movement. o Hands-on application to population biology. o Conceptual application to epidemiology Day 5 • Day 5 will give some additional practical guidance for the use of Bayesian methods in practice, and finish with a brief overview of more advanced Bayesian tools such as INLA and stan. o Additional Bayesian methods. o Understand the usefulness of conjugate priors for robust analysis of proportions (Binomial and Multinomial data). o Be aware of some methods of prior elicitation. o Advanced Bayesian tools. o Strengths and weaknesses of Integrated Nested Laplace Approximation (INLA) compared to BUGS. o Strengths and weaknesses of Stan compared to BUGS Day 6 • Round table discussions and problem solving with final Q and A round table discussion and problem solving with final Q and A. o The final day will consist of round table discussions, the class will be split in to smaller groups to discuss set topics/problems. This will include participants own data where possible. After an early lunch there will be a general question and answer time until approx. 2pm as a whole group before transport to Balloch train station. There will be a 15 minute morning coffee break, an hour for lunch, and a15 minute afternoon coffee break. We keep the timing of these flexible depending how the course advances. Breakfast is from 08:00-08:45 and dinner is at 18:00 each day. Please email any inquiries to oliverhoo...@prstatistics.com or visit our website www.prstatistics.com Please feel free to distribute this material anywhere you feel is suitable. Upcoming courses - email for details oliverhoo...@prstatistics.com 1. INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (August) 2. INTRODUCTION TO PYTHON FOR BIOLOGISTS (October) 3. LANDSCAPE GENETIC DATA ANALYSIS USING R (October) 4. PHYLOGENETIC DATA ANALYSIS USING R (October/November) 5. SPATIAL ANALYSIS OF ECOLOGIC AL DATA USING R (November) 6. ADVANCING IN STATISTICAL MODELLING USING R (December) 7. MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (January) 8. ADVANCED PYTHON FOR BIOLOGISTS (February) 9. NETWORK ANALYSIS FOR ECOLOGISTS USING R (March) 10. INTRODUCTION TO GEOMETRIC MORPHOMETRICS USING R (June) Dates still to be confirmed - email for details oliverhoo...@prstatistics.com • STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R • INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS • BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS Oliver Hooker PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] 'Landscape (population) genetic data analysis - STATS COURSE'
"Landscape (population) genetic data analysis using R” The term ‘landscape genetics’ has been applied studies that integrate ecological context and intervening landscape into population genetic analyses of contemporary processes such as gene flow and migration. This course would be suited to anyone investigating the ecological/environmental basis for genetic differences between populations of marine mammal species, both spatial and temporal. The course will cover the basics of both quantitative landscape ecology and population genetics, focusing on how we develop and evaluate spatial/genetic analyses using the R platform. Delivered by Dr. Rodney Dyer http://prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg/ This course will run from 17th – 21st October 2016 at SCENE Field Station, Loch Lomond, Glasgow, Scotland. Course content is as follows Day 1 • Spatial & Ecological Data • Installation & configuring R & RStudio • Acquiring spatial data, projections, and visualization • Vector and raster data Day 2 • Genetic markers and basic analyses • Genetic markers and sampling • Genetic distance, diversity, and structure • Ordination techniques based upon genetic markers Day 3 • Integrating spatial and genetic data • Barrier detection & population division • Resistance Modeling • Mantel and distance regressions • Remote sensing - LiDAR and Hyperspectral data Day 4 • Integrating spatial and genetic data • Spatial autocorrelation • Network Approaches • PCMN & Redundancy Day 5 • Adaptive Genetic Variance • Outliers & gradients • Quantitative genetics, why we should care. • Chromosome walking Please email any inquiries to oliverhoo...@prstatistics.com or visit our website www.prstatistics.com Please feel free to distribute this material anywhere you feel is suitable Upcoming courses - email for details oliverhoo...@prstatistics.com 1. INTRODUCTION TO BIOINFORMATICS USING LINUX (August) 2. GENETIC DATA ANALYSIS / EXPLORATION USING R (August) 3. INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (August) 4. INTRODUCTION TO PYTHON FOR BIOLOGISTS (October) 5. APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (October) 6. PHYLOGENETIC DATA ANALYSIS USING R (October/November) 7. SPATIAL ANALYSIS OF ECOLOGIC AL DATA USING R (November) 8. ADVANCING IN STATISTICAL MODELLING USING R (December) 9. MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (January) 10. ADVANCED PYTHON FOR BIOLOGISTS (February) 11. NETWORK ANALYSIS FOR ECOLOGISTS USING R (March) 12. INTRODUCTION TO GEOMETRIC MORPHOMETRICS USING R (June) Dates still to be confirmed - email for details oliverhoo...@prstatistics.com • STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R • INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS • BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS Oliver Hooker PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ -- Oliver Hooker PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] Phylogenetic data analysis using R
"Introduction to phylogenetic analysis with R" Delivered by Dr. Emmanuel Paradis http://prstatistics.com/course/introduction-to-phylogenetic-analysis-with-r-phyg/ This course will run from 31st October – 4th November, Millport Field Station, Ilse of Cumbrae, Scotland The main objectives of the course are to teach the theoretical bases of phylogenetic analysis, and to give the ability to initiate a phylogenetic analysis starting from the files of molecular sequences until the interpretation of the results and the graphics. The introduction will cover a brief historical background and an overview of the different methods of phylogenetic inference. Different kinds of data will be considered, but with a special emphasis on DNA sequences. The software used will be based on R and several specialized packages (particularly ape and phangorn). Other software will be used (e.g., MUSCLE or Clustal) called from R. Overall, the course will cover almost all aspects of phylogenetic inference from reading/downloading the data to plotting the results. This course is intended for PhD and postgraduate students, researchers and engineers in evolutionary biology, systematics, population genetics, ecology, conservation. Course content is as follows Day 1 • Refresher on R: data structures, data manipulation with the indexing system, scripts, using the help system. • Introduction to phylogenetic inference. • Basics on phylogenetic data (sequences, alignments, trees, networks, “splits”) and other data in R. • Reading / writing data from files or from internet. • Matching data. Manipulating labels. Subsetting data. • Main package: ape. Day 2 • Plotting and annotating trees. • Theory of sequence alignment. Comparing alignments. Graphical analyses of alignments. • Main packages: ape (with MUSCLE and Clustal). Day 3 • Theory and methods of phylogeny reconstruction. • Parsimony methods. • Evolutionary distances. • Distance-based methods: General principles and the main methods (NJ, BIONJ, FastME, MVR). • Methods for incomplete distances matrices (NJ*, BIONJ*, MVR*). Methods for combining several matrices (SDM). • Main packages: ape, phangorn. Day 4 • Theory of maximum likelihood estimation. • Application to phylogeny reconstruction. • Substitution models. • Tree space and topology estimation. • Main packages: ape, phangorn. Day 5 • Tree comparison, consensus methods. • Topological space and distances. • Bootstrap. • Bayesian methods. Please email any inquiries to oliverhoo...@prstatistics.com or visit our website www.prstatistics.com Please feel free to distribute this material anywhere you feel is suitable Upcoming courses - email for details oliverhoo...@prstatistics.com 1. ADVANCES IN SPATIAL ANALYSIS OF MULTIVARIATE ECOLOGICAL DATA (July) 2. INTRODUCTION TO BIOINFORMATICS USING LINUX (August) 3. GENETIC DATA ANALYSIS / EXPLORATION USING R (August) 4. INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (August) 5. INTRODUCTION TO PYTHON FOR BIOLOGISTS (October) 6. LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (October) 7. APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (October) 8. SPATIAL ANALYSIS OF ECOLOGIC AL DATA USING R (November) 9. ADVANCING IN STATISTICAL MODELLING USING R (December) 10. MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (January) 11. ADVACNED PYTHON FOR BIOLOGISTS (February) 12. NETWORK ANALYSIS FOR ECOLOGISTS (March) 13. INTRODUCTION TO GEOMETRIC MORPHOMETRICS USING R (June) Dates still to be confirmed - email for details oliverhoo...@prstatistics.com • STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R • INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS • BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS Oliver Hooker PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] 'STATS COURSE - Genetic data analysis/exploration using R'
"Genetic data analysis/exploration using R" Delivered by Dr. Thibaut Jombart http://prstatistics.com/course/genetic-data-analysis-using-r-gdar/ This course will run from 16th – 20th August, Millport Field Station, Ilse of Cumbrae, Scotland This course will provide an extensive overview of exploratory methods for the analysis of genetic data using the R software and aim to equip participants with powerful resources for tackling increasingly common challenges in genetic data analysis. The course is aimed at PhD students, research postgraduates, and practicing academics as well as persons in industry working with genetic data in fields such as molecular ecology, evolutionary biology, and phylogenetics. This course will provide a comprehensive introduction to various statistical approaches for the analysis of genetic data. Course content is as follows Day 1 Introduction to phylogenetic reconstruction • Lecture 1a: Reconstructing phylogenies from genetic sequence data. Three main approaches covered: distance-based phylogenies; maximum parsimony; and likelihood-based approaches. • Lecture 1b: Short R refresher. • Practical 1: Phylogenetic reconstruction using R. Three main approaches plus rooting a tree; assessing/testing for a molecular clock; and bootstrapping. Main packages: ape, phangorn. Day 2 Introduction to multivariate analysis of genetic data • Lecture 2: Key concepts in multivariate analysis. Focus on using factorial methods for genetic data analysis. • Practical 2: Basics of multivariate analysis of genetic data in R. Topics include: data handling, population genetic tests of population structure (PCA, PCoA). Main packages: adegenet, ade4, ape. Day 3 Exploring group diversity • Lecture 3: Approaches to identifying and describing genetic clusters. Topics include: hierarchical clustering, K-means, population-level multivariate analysis (between-group-PCA, DA, DAPC). • Practical 3: Applying the approaches covered in morning lecture and emphasising their strengths and weaknesses. Main packages: adegenet, ade4. Day 4 Spatial genetic structure • Lecture 4: Discussing the origin and significance of spatial genetic patterns, and how to test or them. • Practical 4: Visualising and analysing spatial genetic data. Topics: spatial density estimates, Moran/Mantel tests, mapping principal components in PCA, spatial PCA. • Main packages: adegenet, glmnet. Main packages: adegenet, glmnet. Day 5 Using R for reproducible science • Lecture 5: Using R for reproducible science. • Practical 5: Practical session based on morning lecture • Main packages: knitr, Sweave, rmarkdown • Option to discuss own data (time permitting) Please email any inquiries to oliverhoo...@prstatistics.com or visit our website www.prstatistics.com Please feel free to distribute this material anywhere you feel is suitable Upcoming courses - email for details oliverhoo...@prstatistics.com INTRODUCTION TO PYTHON FOR BIOLOGISTS (May) ADVANCES IN SPATIAL ANALYSIS OF MULTIVARIATE ECOLOGICAL DATA (July) ADVANCES IN DNA TAXONOMY USING R (August) INTRODUCTION TO BIOINFORMAITCE USING LINUX (August) INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (August) MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (October) LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (October) APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (October) PHYLOGENETIC DATA ANALYSIS USING R (November) SPATIAL ANALYSIS OF ECOLOGIC AL DATA USING R (November) ADVANCING IN STATISTICAL MODELLING USING R (December) Dates still to be confirmed - email for details oliverhoo...@prstatistics.com STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS Oliver Hooker PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] 'Bioinformatics using LINUX - training course'
sample and the reference we will try to figure out something about the biology of the two samples. We'll attempt to automate this analysis in various ways so that we could easily repeat the pipeline for additional samples. Friday 19th - Classes from 09:00 to 16:00 (approximately) ● Session 9 – Customization Part of the Linux design is that everything can be customised. This can be intimidating at first but, given that bioinformatics work is often fairly repetitive, can be used to good effect. Here we'll learn about environment variables, custom prompts, soft links, and ssh configuration — a collection of tools with modest capabilities, but which together can make life on the command line much more pleasant. In this last session there will also be time to continue working on the next-gen sequencing pipeline. The afternoon of Friday 19th is reserved for finishing off the next-gen workflow exercise, working on your own datasets, or leaving early for travel. The cost is £530 (+VAT) including lunches and course materials. An all-inclusive option is also available at £660 (+VAT); this includes breakfast, lunch, dinner, refreshments, accommodation and course materials. Participants will need a laptop with a recent version of LINUX installed. Please send inquiries to oliverhoo...@prstatistics.com or visit the website www.prstatistics.com Please feel free to distribute this information anywhere you think suitable. Other related courses - email for details oliverhoo...@prstatistics.com INTRODUCTION TO PYTHON FOR BIOLOGISTS (May) ADVANCES IN DNA TAXONOMY USING R (August) GENETIC DATA ANALYSIS USING R (August) PHYLOGENETIC DATA ANALYSIS USING R (October) LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (October) Upcoming courses - email for details oliverhoo...@prstatistics.com ADVANCING IN STATISTICAL MODELLING USING R (May) TIMES SERIES DATA ANALYSIS FOR ECOLOGISTS AND CLIMATOLOGISTS (May) ADVANCES IN SPATIAL ANALYSIS OF MULTIVARIATE ECOLOGICAL DATA: THEORY AND PRACTICE (July) INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (August) MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (October) APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (October) SPATIAL ANALYSIS OF ECOLOGIC AL DATA USING R (November) Dates still to be confirmed - email for details oliverhoo...@prstatistics.com STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS Oliver Hooker PR~Statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ -- Oliver Hooker PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/ ___ MARMAM mailing list MARMAM@lists.uvic.ca https://lists.uvic.ca/mailman/listinfo/marmam
[MARMAM] Stats course - Advancing in Statistics using R
Can you please post the following stats course aimed at biologists ot
the marmam list please.
Thank you in advance Oliver Hooker
"Advancing in Statistical Modelling using R"
Delivered by Dr. Luc Bussiere and Dr. Tom Houslay
http://prstatistics.com/course/advancing-in-statistical-modelling-using-r-advr/
This course will run from 2nd – 6th May 2016 at Malhamtarn Field
Station, North Yorkshire, England
This is an introduction to model selection and simplification, mixed
effects models, generalised linear models and non-linear models.
The course is aimed at biologists with a basic to moderate knowledge in
R. The course content is designed to bridge the gap between basic R
coding and more advanced statistical modelling. This five day course
will consist of series of modules, each lasting roughly half a day and
comprised of lectures and practicals designed to either build required
skills for future modules or to perform a family of analyses that is
frequently encountered in the biological literature.
Course content is as follows
Day 1 Course introduction
• Techniques for data manipulation, aggregation, and visualisation;
introduction to linear regression.
Packages: {tidyr}, {dplyr}, {ggplot2}
Day 2 Linear models
• Diagnostics, collinearity, scaling, plotting fitted values); fitting
and interpreting interaction terms; model selection and simplification;
general linear models and ANCOVA.
Packages: {stats}, {car}
Day 3 Generalized linear models
• Logistic and Poisson regression; predicting using model objects and
visualizing model fits.
Packages: {broom}, {visreg}, {ggplot2}
Day 4 Mixed effects models
• Theory and practice of mixed effect models; visualising fixed and
random effects.
Packages: {lme4}, {broom}, {ggplot2}, {sjPlot}
Day 5 Fitting nonlinear functions
• Polynomial & Mechanistic models; brief introduction to more advanced
topics & combining methods (e.g., generalised linear mixed effects,
nonlinear mixed effects, and zero-inflated and zero-altered models).
Packages: {nlsTools}.
• Afternoon to discuss own data if time permits
Please email any inquiries to oliverhoo...@prstatistics.com or visit our
website www.prstatistics.com
Please feel free to distribute this material anywhere you feel is
suitable
Upcoming courses - email for details oliverhoo...@prstatistics.com
SPATIAL ANALYSIS OF ECOLOGIC AL DATA USING R (APRIL)
TIMES SERIES DATA ANALYSIS FOR ECOLOGISTS AND CLIMATOLOGISTS (May)
INTRODUCTION TO PYTHON FOR BIOLOGISTS (May)
ADVANCES IN DNA TAXONOMY USING R (August)
GENETIC DATA ANALYSIS USING R (August)
INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (August)
MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (October)
LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (October)
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (October)
Dates still to be confirmed - email for details
oliverhoo...@prstatistics.com
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R
INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS
PHYLOGENETIC DATA ANALYSIS USING R
BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS
Oliver Hooker
PR statistics
3/1
128 Brunswick Street
Glasgow
G1 1TF
+44 (0) 7966500340
www.prstatistics.com
www.prstatistics.com/organiser/oliver-hooker/
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