October 2019
Multivariate analysis of ecological communities in R with the VEGAN package (VGNR02) FREE ACCOMMODATION AVAILABLE
Course Overview: This 5-day course will cover the concepts, methods, and R tools that can be used to analyse community ecology data. The course will review data processing techniques relevant to multivariate data sets. We will cover diversity and null-model analysis, distance measures and distance based multivariate methods, clustering, classification, and dimension reduction techniques using the vegan R extension package. We will use real world data sets to motivate the analyses, e.g. describing patterns along environmental or anthropogenic disturbance gradients,…
Find out more »November 2019
Behavioural data analysis using maximum likelihood in R (BDML02)
Course Overview: This 5-day course will involve a combination of lectures and practical sessions. Students will learn to build and fit custom models for analysing behavioural data using maximum likelihood techniques in R. This flexible approach allows a researcher to a) use a statistical model that directly represents their hypothesis, in cases where standard models are not appropriate and b) better understand how standard statistical models (e.g. GLMs) are fitted, many of which are fitted by maximum likelihood. Students will…
Find out more »Geostatistics – Handling Spatial and Spatial-temporal data Using R (GSFE01)
Course Overview: This 5-day course will cover the concepts, methods, and R tools that can be used to analyse spatial and spatiotemporal data through Geostatistic. The course will review data processing techniques relevant to spatial and spatiotemporal data sets. Following, we will cover spatial interpolation methods such as inverse distance weighted interpolation as well as simple, ordinary and universal kriging, sequential Gaussian (co)simulation and sequential indicator (co)simulation. Through these different interpolation methods, we will learn about the different types of…
Find out more »January 2020
R 4 ALL (Andrew Beckerman & Dylan Childs) (R4LL01) FREE ACCOMMODATION AVAILABLE
Course Overview 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…
Find out more »February 2020
Introduction to spatial analysis of ecological data using R (ISPE02) FREE ACCOMMODATION AVAILABLE
Course overview: The aim of the course is to introduce you to a spatial data processing, analysis, and visualization capabilities of the R programming language. It will teach a range of techniques using a mixture of lectures, computer exercises and case studies. By the end of the course participants should: Understand the basic concepts of spatial data analysis Know R’s spatial capabilities Understand how to import a range of spatial data sources into R Be confident with using R’s command-line…
Find out more »Movement ecology (MOVE03)
Course Overview: The course will cover the concepts, technology and software tools that can be used to analyse movement data (from ringing/CMR to VHF/GPS to novel biologging data) in ecology and evolution, covering analysis techniques applicable broadly to most taxa, from micro-organisms to plants and animals. We will cover elementary and advanced analysis and modelling techniques broadly applicable across taxa, highlighting the advantages of a unified Movement Ecology framework. We will provide the necessary bases in ecology (especially behavioural ecology),…
Find out more »April 2020
ONLINE COURSE – Introduction to Bayesian hierarchical modelling using R (IBHM04) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. 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…
Find out more »May 2020
ONLINE COURSE – Python for data science, machine learning, and scientific computing (PDMS02) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Western European Time - however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional…
Find out more »ONLINE COURSE – Species Distribution Modelling using ‘Fuzzy Logic’ to address gradual patterns in species distribution and diversity (FLDD01) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. 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. Please feel free to email oliverhooker@psstatistics.com with any questions, full course detials below. Course Overview: Live beings are constantly in motion and occur with varying frequency across space. Hence, categorical…
Find out more »ONLINE COURSE – Introduction to spatial analysis of ecological data using R (ISPE03) This course will delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Central European Summer Time - however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an…
Find out more »ONLINE COURSE – Introduction to R for ecologists and evolutionary biologists (IRFB03) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Western European Time - however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional…
Find out more »ONLINE COURSE – Ecological niche modelling using R (ENMR04) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Western European Summer Time - however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an…
Find out more »ONLINE COURSE – Generalised Linear (MIXED) (GLMM), Nonlinear (NLGLM) And General Additive Models (MIXED) (GAMM) (GNAM01) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Western European Time - however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional…
Find out more »June 2020
ONLINE COURSE – Introduction to R for ecologists and evolutionary biologists (IRFB04) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Western European Time - however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional…
Find out more »ONLINE COURSE – Reproducible Data Science using RMarkdown, Git, R packages, Docker, Make & Drake, and other tools (RDRP01) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Western European Time - however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional…
Find out more »July 2020
ONLINE COURSE – Applied Bayesian modelling for ecologists and epidemiologists (ABME06) This course will be delivwered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Central European Summer Time - however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an…
Find out more »August 2020
ONLINE COURSE – Introduction to mixed models using R and Rstudio (IMMR02) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Western European Time - however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional…
Find out more »September 2020
ONLINE COURSE – Data wrangling using R and Rstudio (DWRS01) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Western European Time - however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional…
Find out more »ONLINE COURSE – Missing Data Analytics (MDAR01) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Western European Time - however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional…
Find out more »November 2020
ONLINE COURSE – Introduction to Bayesian modelling with INLA (BMIN01) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Central European Standard Time (CEST) – however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind (please…
Find out more »ONLINE COURSE – Meta-analysis in ecology, evolution and environmental sciences (METR01) This course will be delivered live
Course overview: This 5-day course will involve combination of lectures and practical sessions where students will practice conducting meta-analysis using the metafor package in R. In addition, students will conduct their own mini-meta-analyses by working in small groups on an assigned ecological topic with 8-10 primary research papers provided per topic. Students would need to decide on effect size metric to use and inclusion criteria, extract the data from the primary studies, design the extraction spreadsheet, conduct meta-analysis using the…
Find out more »ONLINE COURSE – Fundamentals of populations genetics using R (FOPG01) This course will be delivered live
Course Overview: The aim of the course is to introduce you to the fundamentals of population genetics theory, through quantitative visualizations of the dynamic of genetic elements within and between populations, using the R statistical programming language. We will be using a mixture of lectures, exercises, and case studies to increase the intuitive understanding of population genetics concepts and facilitate conceptual experimentation and visualization in R. By the end of the course participants should: 1. Understand the fundamentals of population…
Find out more »December 2020
ONLINE COURSE – Bayesian hierarchical modelling using R (IBHM05) This course will be delivered live
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…
Find out more »ONLINE COURSE – Nonlinear Regression using Generalized Additive Models (GAMR01) This course will be delivered live
Course Overview: This course provides a general introduction to nonlinear regression analysis using generalized additive models. As anM introduction, we begin by covering practically and conceptually simple extensions to the general and generalized linear models framework using polynomial regression. We will then cover more powerful and flexible extensions of this modelling framework by way of the general concept of basis functions, which includes spline and radial basis functions. We then move on to the major topic of generalized additive models…
Find out more »January 2021
ONLINE COURSE – Structural Equation Modelling for Ecologists and Evolutionary Biologists (SEMR03) This course will be delivered live
Course Overview: The course is a primer on structural equation modelling (SEM) and confirmatory path analysis, with an emphasis on practical skills and applications to real-world data. Structural equation modelling is a rapidly growing technique in ecology and evolution that unites multiple hypotheses in a single causal network. It provides an intuitive graphical representation of relationships among variables, underpinned by well-described mathematical estimation procedures. Several advances in SEM over the past few years have expanded its utility for typical ecological…
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