Stable Isotope Data AnalysisThrough R

Struggling to make sense of your stable isotope data, unsure of what methods and R packages to use, or simply tired of running into constant error messages? Then this course is for you! First developed as a set of youtube videos in 2019 and improved through a series of iterations, Stable Isotope Data Analysis Through R, has thought over 1,000 users the essentials of how to visualise, analyse and interpret a wide variety of stable isotope datasets. Using real world paper from published research papers, this asynchronous course allows you to learn the essentials of stable isotope data analysis at your own pace. Course Overview: Module 1 - Data Interrogation: QA/QC of stable isotope data, lipid & carbonate corrections, Introduction to RStudio, RProjects & Markdown Module 2 - The Biplot: Initial plotting, and data interpretation Module 3 - Mixing Models: Four distinct units addressing 2 Source, 3 Source (SIMMR), covariate (CoSIMMR) and multifactorial (MixSIAR) models Module 4 - Trophic Position: Two units focusing on 2-Source linear and Bayesian (tRophic Position) estimates of consumer trophic position Module 5 - Isotopic Niche: Estimation of geometric (TA, SEA & SEAc)and Bayesian (SEAB) derived measurements of consumer isotopic niche breadth (SIBER) Module 6 - Isotopic Food Web: Geometric and Bayesian estimates of the Layman Food Web Metrics calculated using the SIBER package Each Module contains several descriptive videos, worked data examples and the necessary R code to replicate the analysis yourself. I have over 15 years experience working with isotope data through the SIBER, MixSIAR, SIMMR & tRophicposition packages and have trained students from around the world in how to use these successfully. Im excited to share this knowledge with a new cohort of studnets through Atomic Ecology training.